Articles | Volume 15, issue 11
https://doi.org/10.5194/gmd-15-4597-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-15-4597-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
16 Jun 2022
Model experiment description paper |
| 16 Jun 2022
| 16 Jun 2022
A framework for ensemble modelling of climate change impacts on lakes worldwide: the ISIMIP Lake Sector
Malgorzata Golub
Department of Ecology and Genetics, Uppsala University, Uppsala,
Sweden
Department of Hydrology and Hydraulic
Engineering, Vrije Universiteit Brussel, Brussels, Belgium
Rafael Marcé
Resources and Ecosystems Area, Catalan Institute for Water Research (ICRA), Girona, Spain
University of Girona, Girona, Spain
Don Pierson
Department of Ecology and Genetics, Uppsala University, Uppsala,
Sweden
Inne Vanderkelen
Department of Hydrology and Hydraulic
Engineering, Vrije Universiteit Brussel, Brussels, Belgium
Daniel Mercado-Bettin
Resources and Ecosystems Area, Catalan Institute for Water Research (ICRA), Girona, Spain
University of Girona, Girona, Spain
R. Iestyn Woolway
Department of Meteorology, University of Reading, Reading, UK
Luke Grant
Department of Hydrology and Hydraulic
Engineering, Vrije Universiteit Brussel, Brussels, Belgium
Eleanor Jennings
Dundalk Institute of Technology, Centre for Freshwater and
Environmental Studies, Dundalk, Ireland
Benjamin M. Kraemer
Limnological Institute, University of Konstanz, Konstanz, Germany
Jacob Schewe
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Potsdam, Germany
Fang Zhao
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Potsdam, Germany
Key Laboratory of Geographic Information Science (Ministry of
Education), School of Geographic Sciences, East China Normal University,
Shanghai, China
Katja Frieler
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Potsdam, Germany
Matthias Mengel
Potsdam Institute for Climate Impact Research (PIK), Member of the
Leibniz Association, Potsdam, Germany
Vasiliy Y. Bogomolov
Institute of Monitoring of Climatic and Ecological Systems of the
Siberian Branch of the Russian Academy of Sciences, Tomsk, Russia
Tomsk State University, Tomsk, Russia
Obukhov Institute for Atmospheric Physics, Russian Academy of
Science, Moscow, Russia
Damien Bouffard
Eawag: Swiss Federal Institute of Aquatic Science and Technology,
Surface Waters – Research and Management, 6047 Kastanienbaum, Switzerland
Marianne Côté
Department of chemistry, Université Laval, Quebec, Canada
Raoul-Marie Couture
Department of chemistry, Université Laval, Quebec, Canada
Center for Northern Study, G1V 0A6 Quebec, Canada
Andrey V. Debolskiy
Lomonosov Moscow State University, Moscow, Russia
Obukhov Institute for Atmospheric Physics, Russian Academy of
Science, Moscow, Russia
Bram Droppers
Wageningen University & Research, Water Systems and Global Change Group, Wageningen, the Netherlands
Gideon Gal
Kinneret Limnological Laboratory, Israel Oceanographic &
Limnological Research, Migdal, Israel
Mingyang Guo
Department of Earth, Atmospheric and Planetary
Sciences, Purdue University, West Lafayette, Indiana, USA
Annette B. G. Janssen
Wageningen University & Research, Water Systems and Global Change Group, Wageningen, the Netherlands
Georgiy Kirillin
Leibniz Institute of Freshwater Ecology and Inland Fisheries,
Berlin, Germany
Robert Ladwig
Center for Limnology, University of Wisconsin-Madison, Madison,
Wisconsin, USA
Madeline Magee
Wisconsin Department of Natural Resources, Madison, Wisconsin, USA
Tadhg Moore
Department of Applied Sciences, Dundalk Institute of Technology,
Dundalk, Ireland
Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
Marjorie Perroud
Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland
Sebastiano Piccolroaz
Department of Civil, Environmental and
Mechanical Engineering, University of Trento, Trento, Italy
École Polytechnique Fédérale de Laussane, Physics of
Aquatic Systems Laboratory (APHYS) Margaretha Kamprad Chair, Lausanne,
Switzerland
Love Raaman Vinnaa
Eawag: Swiss Federal Institute of Aquatic Science and Technology,
Surface Waters – Research and Management, 6047 Kastanienbaum, Switzerland
Martin Schmid
Eawag: Swiss Federal Institute of Aquatic Science and Technology,
Surface Waters – Research and Management, 6047 Kastanienbaum, Switzerland
Tom Shatwell
Department of Lake Research, Helmholtz Centre for Environmental Research – UFZ, Magdeburg, Germany
Leibniz Institute of Freshwater Ecology and Inland Fisheries,
Berlin, Germany
Victor M. Stepanenko
Lomonosov Moscow State University, Moscow, Russia
Pacific Northwest National Laboratory, Richland, Washington, USA
Bronwyn Woodward
School of Civil, Environmental and Mining Engineering, The University of Western Australia, Perth, Western Australia, Australia
Huaxia Yao
Dorset Environmental Science Centre, Ontario Ministry of
Environment, Conservation and Parks, Dorset, Ontario, Canada
Rita Adrian
Leibniz Institute of Freshwater Ecology and Inland Fisheries,
Berlin, Germany
Institute of Biology, Freie Universität Berlin, Berlin, Germany
Mathew Allan
Waikato Regional Council, Hamilton, New Zealand
Environmental Research Institute, University of Waikato, Hamilton,
New Zealand
Orlane Anneville
INRAE, Université Savoie Mont-Blanc, UMR CARRTEL, 74203 Thonon-les-Bains CEDEX, France
Lauri Arvola
Lammi Biological Station, University of Helsinki, 16900 Lammi, Finland
Karen Atkins
Tahoe Environmental Research Center, University of California,
Davis, Davis, USA
Leon Boegman
Department of Civil Engineering, Queen's University, Kingston,
Ontario, Canada
Cayelan Carey
Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
Kyle Christianson
Institute of Arctic and Alpine Research, University of Colorado,
Boulder, Colorado, USA
Elvira de Eyto
Marine Institute, Furnace, Newport, Co. Mayo, F28X252, Ireland
Curtis DeGasperi
Water and Land Resources Division, King County Department of Natural Resources and Parks, Seattle,
Washington, USA
Maria Grechushnikova
Lomonosov Moscow State University, Moscow, Russia
Josef Hejzlar
Institute of
Hydrobiology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic
Klaus Joehnk
CSIRO Land and Water, Canberra, Australia
Ian D. Jones
Biological and Environmental Sciences, University of Stirling,
Stirling, UK
Alo Laas
Institute of Agricultural and Environmental Sciences, Chair of Hydrobiology and Fishery, Estonian University of Life Sciences, Tartu,
Estonia
Eleanor B. Mackay
UK Centre for Ecology & Hydrology, Lake Ecosystems Group,
Bailrigg, Lancaster, LA1 4AP, UK
Ivan Mammarella
Institute for Atmospheric and Earth System
Research/Physics, University of Helsinki, Helsinki, Finland
Hampus Markensten
Department of Aquatic
Sciences and Assessment, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
Chris McBride
Environmental Research Institute, University of Waikato, Hamilton,
New Zealand
Deniz Özkundakci
Environmental Research Institute, University of Waikato, Hamilton,
New Zealand
Miguel Potes
Instituto de Investigação e Formação
Avançada (IIFA), Universidade de Évora, Instituto de Ciências da Terra – ICT (Polo de Évora), Évora, Portugal
Instituto de Investigação e Formação Avançada
(IIFA), Universidade de Évora, Earth Remote Sensing Laboratory
(EaRSLab), Évora, Portugal
Karsten Rinke
Department of Lake Research, Helmholtz Centre for Environmental Research – UFZ, Magdeburg, Germany
Dale Robertson
U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, USA
James A. Rusak
Dorset Environmental Science Centre, Ontario Ministry of
Environment, Conservation and Parks, Dorset, Ontario, Canada
Rui Salgado
Departamento de Física, Escola de Ciências e Tecnologia, Universidade de Évora, Instituto de Ciências da Terra,
Évora, Portugal
Leon van der Linden
South Australian Water Corporation, Adelaide, Australia
Piet Verburg
National Institute of Water and Atmospheric Research, Hamilton, New Zealand
Danielle Wain
7 Lakes Alliance, Belgrade Lakes, Maine, USA 04901
Nicole K. Ward
Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, USA
Sabine Wollrab
Leibniz Institute of Freshwater Ecology and Inland Fisheries,
Berlin, Germany
Galina Zdorovennova
Northern water problems Institute Karelian Research Centre of RAS,
Petrozavodsk, Russia
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Ana I. Ayala, José L. Hinostroza, Daniel Mercado-Bettín, Rafael Marcé, Simon N. Gosling, Donald C. Pierson, and Sebastian Sobek
Geosci. Model Dev., 19, 41–56, https://doi.org/10.5194/gmd-19-41-2026, https://doi.org/10.5194/gmd-19-41-2026, 2026
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Climate change affect lakes by including not just the lakes themselves but also the land areas that drain into them. These surrounding areas influence how much water and nutrients flow into lakes which in turn impact water quality. Here, water fluxes from land, derived from a global hydrological model where water fluxes are modelled at the grid scale, were used to estimate streamflow inputs to lakes from their catchments. Using data from 70 Swedish lakes, we showed that our method works well.
Asta Laasonen, Alexander Buzacott, Kukka-Maaria Kohonen, Erik Lundin, Alexander Meire, Mari Pihlatie, and Ivan Mammarella
Biogeosciences, 22, 7505–7518, https://doi.org/10.5194/bg-22-7505-2025, https://doi.org/10.5194/bg-22-7505-2025, 2025
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Carbon monoxide (CO) is an important indirect greenhouse gas, but its terrestrial sinks and sources are poorly understood. We present the first CO flux measurements using the eddy covariance method in an Arctic peatland. Our results show that CO fluxes are dominated by two processes: radiation-driven emissions and soil uptake. Dry peatland areas acted as CO sinks, while wetter areas were CO sources. Our findings suggest that current global models may underestimate Arctic CO emissions.
Ni Li, Wim Thiery, Shorouq Zahra, Mariana Madruga de Brito, Koffi Worou, Murathan Kurfalı, Seppe Lampe, Paul Muñoz, Clare Flynn, Camila Trigoso, Joakim Nivre, Jakob Zscheischler, and Gabriele Messori
EGUsphere, https://doi.org/10.5194/egusphere-2025-4891, https://doi.org/10.5194/egusphere-2025-4891, 2025
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Climate extremes threaten society and ecosystems. Understanding impacts is critical, despite open databases like EM-DAT and DesInventar, reliable impact data remain scattered across various text sources. Wikimpacts 1.0, using GPT4o, provides comprehensive socio-economic impact data on 2,928 events from 1034 to 2024. It offers broader storm coverage and finer spatial resolution impact data than EM-DAT, showcasing the potential of natural language processing to enhance climate impact datasets.
Anna-Maria Virkkala, Isabel Wargowsky, Judith Vogt, McKenzie A. Kuhn, Simran Madaan, Richard O'Keefe, Tiffany Windholz, Kyle A. Arndt, Brendan M. Rogers, Jennifer D. Watts, Kelcy Kent, Mathias Göckede, David Olefeldt, Gerard Rocher-Ros, Edward A. G. Schuur, David Bastviken, Kristoffer Aalstad, Kelly Aho, Joonatan Ala-Könni, Haley Alcock, Inge Althuizen, Christopher D. Arp, Jun Asanuma, Katrin Attermeyer, Mika Aurela, Sivakiruthika Balathandayuthabani, Alan Barr, Maialen Barret, Ochirbat Batkhishig, Christina Biasi, Mats P. Björkman, Andrew Black, Elena Blanc-Betes, Pascal Bodmer, Julia Boike, Abdullah Bolek, Frédéric Bouchard, Ingeborg Bussmann, Lea Cabrol, Eleonora Canfora, Sean Carey, Karel Castro-Morales, Namyi Chae, Andres Christen, Torben R. Christensen, Casper T. Christiansen, Housen Chu, Graham Clark, Francois Clayer, Patrick Crill, Christopher Cunada, Scott J. Davidson, Joshua F. Dean, Sigrid Dengel, Matteo Detto, Catherine Dieleman, Florent Domine, Egor Dyukarev, Colin Edgar, Bo Elberling, Craig A. Emmerton, Eugenie Euskirchen, Grant Falvo, Thomas Friborg, Michelle Garneau, Mariasilvia Giamberini, Mikhail V. Glagolev, Miquel A. Gonzalez-Meler, Gustaf Granath, Jón Guðmundsson, Konsta Happonen, Yoshinobu Harazono, Lorna Harris, Josh Hashemi, Nicholas Hasson, Janna Heerah, Liam Heffernan, Manuel Helbig, Warren Helgason, Michal Heliasz, Greg Henry, Geert Hensgens, Tetsuya Hiyama, Macall Hock, David Holl, Beth Holmes, Jutta Holst, Thomas Holst, Gabriel Hould-Gosselin, Elyn Humphreys, Jacqueline Hung, Jussi Huotari, Hiroki Ikawa, Danil V. Ilyasov, Mamoru Ishikawa, Go Iwahana, Hiroki Iwata, Marcin Antoni Jackowicz-Korczynski, Joachim Jansen, Järvi Järveoja, Vincent E. J. Jassey, Rasmus Jensen, Katharina Jentzsch, Robert G. Jespersen, Carl-Fredrik Johannesson, Chersity P. Jones, Anders Jonsson, Ji Young Jung, Sari Juutinen, Evan Kane, Jan Karlsson, Sergey Karsanaev, Kuno Kasak, Julia Kelly, Kasha Kempton, Marcus Klaus, George W. Kling, Natacha Kljun, Jacqueline Knutson, Hideki Kobayashi, John Kochendorfer, Kukka-Maaria Kohonen, Pasi Kolari, Mika Korkiakoski, Aino Korrensalo, Pirkko Kortelainen, Egle Koster, Kajar Koster, Ayumi Kotani, Praveena Krishnan, Juliya Kurbatova, Lars Kutzbach, Min Jung Kwon, Ethan D. Kyzivat, Jessica Lagroix, Theodore Langhorst, Elena Lapshina, Tuula Larmola, Klaus S. Larsen, Isabelle Laurion, Justin Ledman, Hanna Lee, A. Joshua Leffler, Lance Lesack, Anders Lindroth, David Lipson, Annalea Lohila, Efrén López-Blanco, Vincent L. St. Louis, Erik Lundin, Misha Luoto, Takashi Machimura, Marta Magnani, Avni Malhotra, Marja Maljanen, Ivan Mammarella, Elisa Männistö, Luca Belelli Marchesini, Phil Marsh, Pertti J. Martkainen, Maija E. Marushchak, Mikhail Mastepanov, Alex Mavrovic, Trofim Maximov, Christina Minions, Marco Montemayor, Tomoaki Morishita, Patrick Murphy, Daniel F. Nadeau, Erin Nicholls, Mats B. Nilsson, Anastasia Niyazova, Jenni Nordén, Koffi Dodji Noumonvi, Hannu Nykanen, Walter Oechel, Anne Ojala, Tomohiro Okadera, Sujan Pal, Alexey V. Panov, Tim Papakyriakou, Dario Papale, Sang-Jong Park, Frans-Jan W. Parmentier, Gilberto Pastorello, Mike Peacock, Matthias Peichl, Roman Petrov, Kyra St. Pierre, Norbert Pirk, Jessica Plein, Vilmantas Preskienis, Anatoly Prokushkin, Jukka Pumpanen, Hilary A. Rains, Niklas Rakos, Aleski Räsänen, Helena Rautakoski, Riika Rinnan, Janne Rinne, Adrian Rocha, Nigel Roulet, Alexandre Roy, Anna Rutgersson, Aleksandr F. Sabrekov, Torsten Sachs, Erik Sahlée, Alejandro Salazar, Henrique Oliveira Sawakuchi, Christopher Schulze, Roger Seco, Armando Sepulveda-Jauregui, Svetlana Serikova, Abbey Serrone, Hanna M. Silvennoinen, Sofie Sjogersten, June Skeeter, Jo Snöälv, Sebastian Sobek, Oliver Sonnentag, Emily H. Stanley, Maria Strack, Lena Strom, Patrick Sullivan, Ryan Sullivan, Anna Sytiuk, Torbern Tagesson, Pierre Taillardat, Julie Talbot, Suzanne E. Tank, Mario Tenuta, Irina Terenteva, Frederic Thalasso, Antoine Thiboult, Halldor Thorgeirsson, Fenix Garcia Tigreros, Margaret Torn, Amy Townsend-Small, Claire Treat, Alain Tremblay, Carlo Trotta, Eeva-Stiina Tuittila, Merritt Turetsky, Masahito Ueyama, Muhammad Umair, Aki Vähä, Lona van Delden, Maarten van Hardenbroek, Andrej Varlagin, Ruth K. Varner, Elena Veretennikova, Timo Vesala, Tarmo Virtanen, Carolina Voigt, Jorien E. Vonk, Robert Wagner, Katey Walter Anthony, Qinxue Wang, Masataka Watanabe, Hailey Webb, Jeffrey M. Welker, Andreas Westergaard-Nielsen, Sebastian Westermann, Jeffrey R. White, Christian Wille, Scott N. Williamson, Scott Zolkos, Donatella Zona, and Susan M. Natali
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-585, https://doi.org/10.5194/essd-2025-585, 2025
Revised manuscript under review for ESSD
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This dataset includes monthly measurements of carbon dioxide and methane exchange between land, water, and the atmosphere from over 1,000 sites in Arctic and boreal regions. It combines measurements from a variety of ecosystems, including wetlands, forests, tundra, lakes, and rivers, gathered by over 260 researchers from 1984–2024. This dataset can be used to improve and reduce uncertainty in carbon budgets in order to strengthen our understanding of climate feedbacks in a warming world.
Manon Maisonnier, Maoyuan Feng, David Bastviken, Sandra Arndt, Ronny Lauerwald, Aidin Jabbari, Goulven Gildas Laruelle, Murray D. MacKay, Zeli Tan, Wim Thiery, and Pierre Regnier
Earth Syst. Dynam., 16, 1779–1808, https://doi.org/10.5194/esd-16-1779-2025, https://doi.org/10.5194/esd-16-1779-2025, 2025
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A new process-based modelling framework, FLaMe-v1.0 (Fluxes of Lake Methane version 1.0), is developed to simulate methane (CH4) emissions from lakes at large scales. FLaMe couples the dynamics of organic carbon, oxygen and methane in lakes and rests on an innovative, computationally efficient lake clustering approach for the simulation of CH4 emissions across a large number of lakes. The model evaluation suggests that FLaMe captures the sub-annual and spatial variability of CH4 emissions well.
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Mithun Deb, Hong-Yi Li, and L. Ruby Leung
Nat. Hazards Earth Syst. Sci., 25, 3619–3639, https://doi.org/10.5194/nhess-25-3619-2025, https://doi.org/10.5194/nhess-25-3619-2025, 2025
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Our study explores how riverine and coastal flooding during hurricanes is influenced by the interaction of atmosphere, land, river, and ocean conditions. Using an advanced Earth system model, we simulate Hurricane Irene to evaluate how meteorological and hydrological uncertainties affect flood modeling. Our findings reveal the importance of a multi-component modeling system, how hydrological conditions play critical roles in flood modeling, and greater flood risks if multiple factors are present.
José Ángel Callejas-Rodelas, Alexander Knohl, Ivan Mammarella, Timo Vesala, Olli Peltola, and Christian Markwitz
Biogeosciences, 22, 4507–4529, https://doi.org/10.5194/bg-22-4507-2025, https://doi.org/10.5194/bg-22-4507-2025, 2025
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The spatial variability of CO2 and water vapour exchanges with the atmosphere was quantified above an agroforestry system and further compared to a monocropping system using a total of four eddy covariance stations. The variability of fluxes within the agroforestry site was found to be as large as the variability between agroforestry and monocropping site, induced by the heterogeneity of the site, which highlights the need for replicated measurements above such ecosystems.
Zeli Tan, Donghui Xu, Sourav Taraphdar, Jiangqin Ma, Gautam Bisht, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 29, 3833–3852, https://doi.org/10.5194/hess-29-3833-2025, https://doi.org/10.5194/hess-29-3833-2025, 2025
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Flow depth and velocity determine various river functions, but their high-resolution simulations are expensive. Here, we developed a downscaling approach that can provide fast and accurate estimation of high-resolution river hydrodynamics. The 84-fold acceleration achieved by the method makes reliable flood risk analysis that needs hundreds or thousands of model runs feasible. More importantly, it provides an opportunity to couple large-scale hydrodynamics with local processes in river models.
Anam M. Khan, Olivia E. Clifton, Jesse O. Bash, Sam Bland, Nathan Booth, Philip Cheung, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christian Hogrefe, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Donna Schwede, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, Leiming Zhang, and Paul C. Stoy
Atmos. Chem. Phys., 25, 8613–8635, https://doi.org/10.5194/acp-25-8613-2025, https://doi.org/10.5194/acp-25-8613-2025, 2025
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Vegetation removes tropospheric ozone through stomatal uptake, and accurately modeling the stomatal uptake of ozone is important for modeling dry deposition and air quality. We evaluated the stomatal component of ozone dry deposition modeled by atmospheric chemistry models at six sites. We find that models and observation-based estimates agree at times during the growing season at all sites, but some models overestimated the stomatal component during the dry summers at a seasonally dry site.
Georgiy B. Kirillin, Tom Shatwell, and Alexander S. Izhitskiy
Hydrol. Earth Syst. Sci., 29, 3569–3588, https://doi.org/10.5194/hess-29-3569-2025, https://doi.org/10.5194/hess-29-3569-2025, 2025
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The Aral Sea is both an example of large-scale environmental degradation caused by human activity and a message of hope through its partial restoration. Our study shows that the restored part of the Aral Sea is now healthy in terms of vertical mixing and oxygenation. However, small perturbations of water level or transparency could significantly alter the entire ecosystem. The results contribute to understanding the consequences of large-scale lake management worldwide.
Elena Shevnina, Timo Vihma, Miguel Potes, and Tuomas Naakka
EGUsphere, https://doi.org/10.5194/egusphere-2025-1964, https://doi.org/10.5194/egusphere-2025-1964, 2025
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The study first estimated the summertime evaporation over lakes located in coastal Antarctica with direct (eddy-covariance) measurements collected during two austral summers (December–January) in 2017–2018 and 2019–2020. The lake evaporation was on average 1.6 mm d-1 in the ice break-up period, and it doubled in the ice free period. The bulk aerodynamic method with a site-specific transfer coefficient of moisture well reproduced the observed day-to-day variations in evaporation over lakes.
Piaopiao Ke, Anna Lintunen, Pasi Kolari, Annalea Lohila, Santeri Tuovinen, Janne Lampilahti, Roseline Thakur, Maija Peltola, Otso Peräkylä, Tuomo Nieminen, Ekaterina Ezhova, Mari Pihlatie, Asta Laasonen, Markku Koskinen, Helena Rautakoski, Laura Heimsch, Tom Kokkonen, Aki Vähä, Ivan Mammarella, Steffen Noe, Jaana Bäck, Veli-Matti Kerminen, and Markku Kulmala
Biogeosciences, 22, 3235–3251, https://doi.org/10.5194/bg-22-3235-2025, https://doi.org/10.5194/bg-22-3235-2025, 2025
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Our research explores diverse ecosystems’ roles in climate cooling via the concept of CarbonSink+ potential. We measured CO2 uptake and local aerosol production in forests, farms, peatlands, urban gardens, and coastal areas across Finland and Estonia. The long-term data reveal that, while forests are vital with regard to CarbonSink+ potential, farms and urban gardens also play significant roles. These insights can help optimize management policy of natural resources to mitigate global warming.
Bennett J. McAfee, Aanish Pradhan, Abhilash Neog, Sepideh Fatemi, Robert T. Hensley, Mary E. Lofton, Anuj Karpatne, Cayelan C. Carey, and Paul C. Hanson
Earth Syst. Sci. Data, 17, 3141–3165, https://doi.org/10.5194/essd-17-3141-2025, https://doi.org/10.5194/essd-17-3141-2025, 2025
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LakeBeD-US is a dataset of lake water quality data collected by multiple long-term monitoring programs around the United States. This dataset is designed to foster collaboration between lake scientists and computer scientists to improve predictions of water quality. By offering a way for computer models to be tested against real-world lake data, LakeBeD-US offers opportunities for both sciences to grow and to give new insights into the causes of water quality changes.
Inne Vanderkelen, Marie-Estelle Demoury, Sean Swenson, David M. Lawrence, Benjamin D. Stocker, Myke Koopmans, and Édouard L. Davin
EGUsphere, https://doi.org/10.5194/egusphere-2025-2637, https://doi.org/10.5194/egusphere-2025-2637, 2025
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Soil carbon sequestration supports climate mitigation and may enhance water availability. Using a global land model, we show that increased soil organic carbon improves water retention in the root zone and reduces runoff, particularly in dry, sandy regions. Although hydrological changes are modest, they are systematic and suggest co-benefits for vegetation productivity and ecosystem resilience in water-limited areas.
Lingbo Li, Hong-Yi Li, Guta Abeshu, Jinyun Tang, L. Ruby Leung, Chang Liao, Zeli Tan, Hanqin Tian, Peter Thornton, and Xiaojuan Yang
Earth Syst. Sci. Data, 17, 2713–2733, https://doi.org/10.5194/essd-17-2713-2025, https://doi.org/10.5194/essd-17-2713-2025, 2025
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We have developed new maps that reveal how organic carbon from soil leaches into headwater streams over the contiguous United States. We use advanced artificial intelligence techniques and a massive amount of data, including observations at over 2500 gauges and a wealth of climate and environmental information. The maps are a critical step in understanding and predicting how carbon moves through our environment, hence making them a useful tool for tackling climate challenges.
Marina Amadori, Abolfazl Irani Rahaghi, Damien Bouffard, and Marco Toffolon
Geosci. Model Dev., 18, 3473–3486, https://doi.org/10.5194/gmd-18-3473-2025, https://doi.org/10.5194/gmd-18-3473-2025, 2025
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Models simplify reality using assumptions, which can sometimes introduce flaws and affect their accuracy. Properly calibrating model parameters is essential, and although automated tools can speed up this process, they may occasionally produce incorrect values due to inconsistencies in the model. We demonstrate that by carefully applying automated tools, we were able to identify and correct a flaw in a widely used model for lake environments.
Edna Johanna Molina Bacca, Miodrag Stevanović, Benjamin Leon Bodirsky, Jonathan Cornelis Doelman, Louise Parsons Chini, Jan Volkholz, Katja Frieler, Christopher Paul Oliver Reyer, George Hurtt, Florian Humpenöder, Kristine Karstens, Jens Heinke, Christoph Müller, Jan Philipp Dietrich, Hermann Lotze-Campen, Elke Stehfest, and Alexander Popp
Earth Syst. Dynam., 16, 753–801, https://doi.org/10.5194/esd-16-753-2025, https://doi.org/10.5194/esd-16-753-2025, 2025
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Land-use change projections are vital for impact studies. This study compares updated land-use model projections, including CO2 fertilization among other upgrades, from the MAgPIE and IMAGE models under three scenarios, highlighting differences, uncertainty hotspots, and harmonization effects. Key findings include reduced bioenergy crop demand projections and differences in grassland area allocation and sizes, with socioeconomic–climate scenarios' largest effect on variance starting in 2030.
Suqi Guo, Felix Havermann, Steven J. De Hertog, Fei Luo, Iris Manola, Thomas Raddatz, Hongmei Li, Wim Thiery, Quentin Lejeune, Carl-Friedrich Schleussner, David Wårlind, Lars Nieradzik, and Julia Pongratz
Earth Syst. Dynam., 16, 631–666, https://doi.org/10.5194/esd-16-631-2025, https://doi.org/10.5194/esd-16-631-2025, 2025
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Land cover and land management changes (LCLMCs) can alter climate even in intact areas, causing carbon changes in remote areas. This study is the first to assess these effects, finding they substantially alter global carbon dynamics, changing terrestrial stocks by up to dozens of gigatonnes. These results are vital for scientific and policy assessments, given the expected role of LCLMCs in achieving the Paris Agreement's goal to limit global warming below 1.5 °C.
Hannes Müller Schmied, Simon Newland Gosling, Marlo Garnsworthy, Laura Müller, Camelia-Eliza Telteu, Atiq Kainan Ahmed, Lauren Seaby Andersen, Julien Boulange, Peter Burek, Jinfeng Chang, He Chen, Lukas Gudmundsson, Manolis Grillakis, Luca Guillaumot, Naota Hanasaki, Aristeidis Koutroulis, Rohini Kumar, Guoyong Leng, Junguo Liu, Xingcai Liu, Inga Menke, Vimal Mishra, Yadu Pokhrel, Oldrich Rakovec, Luis Samaniego, Yusuke Satoh, Harsh Lovekumar Shah, Mikhail Smilovic, Tobias Stacke, Edwin Sutanudjaja, Wim Thiery, Athanasios Tsilimigkras, Yoshihide Wada, Niko Wanders, and Tokuta Yokohata
Geosci. Model Dev., 18, 2409–2425, https://doi.org/10.5194/gmd-18-2409-2025, https://doi.org/10.5194/gmd-18-2409-2025, 2025
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Global water models contribute to the evaluation of important natural and societal issues but are – as all models – simplified representation of reality. So, there are many ways to calculate the water fluxes and storages. This paper presents a visualization of 16 global water models using a standardized visualization and the pathway towards this common understanding. Next to academic education purposes, we envisage that these diagrams will help researchers, model developers, and data users.
Cristina Deidda, Arpita Khanna, Wolfgang Schade, and Wim Thiery
EGUsphere, https://doi.org/10.5194/egusphere-2025-1697, https://doi.org/10.5194/egusphere-2025-1697, 2025
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Climate extremes like floods, heatwaves, droughts, and wildfires are disrupting Europe’s transport. This study combines a review of past events and future projections to assess current losses and the future exposure of transport infrastructure. Exposure to extremes is projected to rise, but lower emissions can reduce it. Urgent action is needed to adapt the Trans-European Transport Network to a changing climate.
Aki Vähä, Timo Vesala, Sofya Guseva, Anders Lindroth, Andreas Lorke, Sally MacIntyre, and Ivan Mammarella
Biogeosciences, 22, 1651–1671, https://doi.org/10.5194/bg-22-1651-2025, https://doi.org/10.5194/bg-22-1651-2025, 2025
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Boreal rivers are significant sources of carbon dioxide (CO2) and methane (CH4) for the atmosphere, but the controls of these emissions are uncertain. We measured 4 months of CO2 and CH4 exchanges between a regulated boreal river and the atmosphere with eddy covariance. We found statistical relationships between the gas exchange and several environmental variables, the most important of which were dissolved CO2 partial pressure in water, wind speed and water temperature.
Fenglin Xu, Yong Liu, Guoqing Zhang, Ping Zhao, R. Iestyn Woolway, Yani Zhu, Jianting Ju, Tao Zhou, Xue Wang, and Wenfeng Chen
Nat. Hazards Earth Syst. Sci., 25, 1187–1206, https://doi.org/10.5194/nhess-25-1187-2025, https://doi.org/10.5194/nhess-25-1187-2025, 2025
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Glacial lake outbursts have been widely studied, but large-inland-lake outbursts have received less attention. Recently, with the rapid expansion of inland lakes, signs of potential outbursts have increased. However, their processes, causes, and mechanisms are still not well understood. Here, the outburst processes of two inland lakes were investigated using a combination of field surveys, remote sensing mapping, and hydrodynamic modeling. Their causes and mechanisms were also investigated.
Johannes Feldbauer, Jorrit P. Mesman, Tobias K. Andersen, and Robert Ladwig
Hydrol. Earth Syst. Sci., 29, 1183–1199, https://doi.org/10.5194/hess-29-1183-2025, https://doi.org/10.5194/hess-29-1183-2025, 2025
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Models help to understand natural systems and are used to predict changes based on scenarios (e.g., climate change). To simulate water temperature and deduce impacts on water quality in lakes, 1D lake models are often used. There are several such models that differ regarding their assumptions and mathematical process description. This study examines the performance of four such models on a global dataset of 73 lakes and relates their performance to the model structure and lake characteristics.
Ekaterina Ezhova, Topi Laanti, Anna Lintunen, Pasi Kolari, Tuomo Nieminen, Ivan Mammarella, Keijo Heljanko, and Markku Kulmala
Biogeosciences, 22, 257–288, https://doi.org/10.5194/bg-22-257-2025, https://doi.org/10.5194/bg-22-257-2025, 2025
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Machine learning (ML) models are gaining popularity in biogeosciences. They are applied as gap-filling methods and used to upscale carbon fluxes to larger areas. Here we use explainable artificial intelligence (XAI) methods to elucidate the performance of machine learning models for carbon dioxide fluxes in boreal forests. We show that statistically equal models treat input variables differently. XAI methods can help scientists make informed decisions when applying ML models in their research.
Barry van Jaarsveld, Niko Wanders, Edwin H. Sutanudjaja, Jannis Hoch, Bram Droppers, Joren Janzing, Rens L. P. H. van Beek, and Marc F. P. Bierkens
Earth Syst. Dynam., 16, 29–54, https://doi.org/10.5194/esd-16-29-2025, https://doi.org/10.5194/esd-16-29-2025, 2025
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Policy makers use global hydrological models to develop water management strategies and policies. However, it would be better if these models provided information at higher resolution. We present a first-of-its-kind, truly global hyper-resolution model and show that hyper-resolution brings about better estimates of river discharge, and this is especially true for smaller catchments. Our results also suggest that future hyper-resolution models need to include more detailed land cover information.
Laia Estrada, Xavier Garcia, Joan Saló-Grau, Rafael Marcé, Antoni Munné, and Vicenç Acuña
Hydrol. Earth Syst. Sci., 28, 5353–5373, https://doi.org/10.5194/hess-28-5353-2024, https://doi.org/10.5194/hess-28-5353-2024, 2024
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Hydrological modelling is a powerful tool to support decision-making. We assessed spatio-temporal patterns and trends of streamflow for 2001–2022 with a hydrological model, integrating stakeholder expert knowledge on management operations. The results provide insight into how climate change and anthropogenic pressures affect water resources availability in regions vulnerable to water scarcity, thus raising the need for sustainable management practices and integrated hydrological modelling.
Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Jiří Dušek, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck, Dave Billesbach, David Bowling, Rosvel Bracho, Christian Brümmer, Gustau Camps-Valls, Shiping Chen, Jamie Rose Cleverly, Ankur Desai, Gang Dong, Tarek S. El-Madany, Eugenie Susanne Euskirchen, Iris Feigenwinter, Marta Galvagno, Giacomo A. Gerosa, Bert Gielen, Ignacio Goded, Sarah Goslee, Christopher Michael Gough, Bernard Heinesch, Kazuhito Ichii, Marcin Antoni Jackowicz-Korczynski, Anne Klosterhalfen, Sara Knox, Hideki Kobayashi, Kukka-Maaria Kohonen, Mika Korkiakoski, Ivan Mammarella, Mana Gharun, Riccardo Marzuoli, Roser Matamala, Stefan Metzger, Leonardo Montagnani, Giacomo Nicolini, Thomas O'Halloran, Jean-Marc Ourcival, Matthias Peichl, Elise Pendall, Borja Ruiz Reverter, Marilyn Roland, Simone Sabbatini, Torsten Sachs, Marius Schmidt, Christopher R. Schwalm, Ankit Shekhar, Richard Silberstein, Maria Lucia Silveira, Donatella Spano, Torbern Tagesson, Gianluca Tramontana, Carlo Trotta, Fabio Turco, Timo Vesala, Caroline Vincke, Domenico Vitale, Enrique R. Vivoni, Yi Wang, William Woodgate, Enrico A. Yepez, Junhui Zhang, Donatella Zona, and Martin Jung
Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, https://doi.org/10.5194/bg-21-5079-2024, 2024
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The movement of water, carbon, and energy from the Earth's surface to the atmosphere, or flux, is an important process to understand because it impacts our lives. Here, we outline a method called FLUXCOM-X to estimate global water and CO2 fluxes based on direct measurements from sites around the world. We go on to demonstrate how these new estimates of net CO2 uptake/loss, gross CO2 uptake, total water evaporation, and transpiration from plants compare to previous and independent estimates.
Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Julien Boé, Tom Bracegirdle, Pascale Braconnot, Victor Brovkin, Carlo Buontempo, Francisco Doblas-Reyes, Markus Donat, Italo Epicoco, Pete Falloon, Sandro Fiore, Thomas Frölicher, Neven S. Fučkar, Matthew J. Gidden, Helge F. Goessling, Rune Grand Graversen, Silvio Gualdi, José M. Gutiérrez, Tatiana Ilyina, Daniela Jacob, Chris D. Jones, Martin Juckes, Elizabeth Kendon, Erik Kjellström, Reto Knutti, Jason Lowe, Matthew Mizielinski, Paola Nassisi, Michael Obersteiner, Pierre Regnier, Romain Roehrig, David Salas y Mélia, Carl-Friedrich Schleussner, Michael Schulz, Enrico Scoccimarro, Laurent Terray, Hannes Thiemann, Richard A. Wood, Shuting Yang, and Sönke Zaehle
Earth Syst. Dynam., 15, 1319–1351, https://doi.org/10.5194/esd-15-1319-2024, https://doi.org/10.5194/esd-15-1319-2024, 2024
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We propose a number of priority areas for the international climate research community to address over the coming decade. Advances in these areas will both increase our understanding of past and future Earth system change, including the societal and environmental impacts of this change, and deliver significantly improved scientific support to international climate policy, such as future IPCC assessments and the UNFCCC Global Stocktake.
Sabin I. Taranu, David M. Lawrence, Yoshihide Wada, Ting Tang, Erik Kluzek, Sam Rabin, Yi Yao, Steven J. De Hertog, Inne Vanderkelen, and Wim Thiery
Geosci. Model Dev., 17, 7365–7399, https://doi.org/10.5194/gmd-17-7365-2024, https://doi.org/10.5194/gmd-17-7365-2024, 2024
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In this study, we improved a climate model by adding the representation of water use sectors such as domestic, industry, and agriculture. This new feature helps us understand how water is used and supplied in various areas. We tested our model from 1971 to 2010 and found that it accurately identifies areas with water scarcity. By modelling the competition between sectors when water availability is limited, the model helps estimate the intensity and extent of individual sectors' water shortages.
Kim A. P. Faassen, Jordi Vilà-Guerau de Arellano, Raquel González-Armas, Bert G. Heusinkveld, Ivan Mammarella, Wouter Peters, and Ingrid T. Luijkx
Biogeosciences, 21, 3015–3039, https://doi.org/10.5194/bg-21-3015-2024, https://doi.org/10.5194/bg-21-3015-2024, 2024
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The ratio between atmospheric O2 and CO2 can be used to characterize the carbon balance at the surface. By combining a model and observations from the Hyytiälä forest (Finland), we show that using atmospheric O2 and CO2 measurements from a single height provides a weak constraint on the surface CO2 exchange because large-scale processes such as entrainment confound this signal. We therefore recommend always using multiple heights of O2 and CO2 measurements to study surface CO2 exchange.
Ashkan Pilbala, Nicoletta Riccardi, Nina Benistati, Vanessa Modesto, Donatella Termini, Dario Manca, Augusto Benigni, Cristiano Corradini, Tommaso Lazzarin, Tommaso Moramarco, Luigi Fraccarollo, and Sebastiano Piccolroaz
Hydrol. Earth Syst. Sci., 28, 2297–2311, https://doi.org/10.5194/hess-28-2297-2024, https://doi.org/10.5194/hess-28-2297-2024, 2024
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This study investigates the impact of floods on the aquatic ecosystem using freshwater mussels instrumented with sensors to monitor the opening of their valves. Signal analysis techniques were used to gain insight into their responses in terms of changes in the intensity and frequency of valve opening. The approach used in the study enables the development of real-time monitoring systems for ecological purposes and provides a pathway for practical biological early-warning systems.
Chengcheng Hou, Yan Li, Shan Sang, Xu Zhao, Yanxu Liu, Yinglu Liu, and Fang Zhao
Earth Syst. Sci. Data, 16, 2449–2464, https://doi.org/10.5194/essd-16-2449-2024, https://doi.org/10.5194/essd-16-2449-2024, 2024
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To fill the gap in the gridded industrial water withdrawal (IWW) data in China, we developed the China Industrial Water Withdrawal (CIWW) dataset, which provides monthly IWWs from 1965 to 2020 at a spatial resolution of 0.1°/0.25° and auxiliary data including subsectoral IWW and industrial output value in 2008. This dataset can help understand the human water use dynamics and support studies in hydrology, geography, sustainability sciences, and water resource management and allocation in China.
Derrick Muheki, Axel A. J. Deijns, Emanuele Bevacqua, Gabriele Messori, Jakob Zscheischler, and Wim Thiery
Earth Syst. Dynam., 15, 429–466, https://doi.org/10.5194/esd-15-429-2024, https://doi.org/10.5194/esd-15-429-2024, 2024
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Climate change affects the interaction, dependence, and joint occurrence of climate extremes. Here we investigate the joint occurrence of pairs of river floods, droughts, heatwaves, crop failures, wildfires, and tropical cyclones in East Africa under past and future climate conditions. Our results show that, across all future warming scenarios, the frequency and spatial extent of these co-occurring extremes will increase in this region, particularly in areas close to the Nile and Congo rivers.
Jorrit P. Mesman, Inmaculada C. Jiménez-Navarro, Ana I. Ayala, Javier Senent-Aparicio, Dennis Trolle, and Don C. Pierson
Hydrol. Earth Syst. Sci., 28, 1791–1802, https://doi.org/10.5194/hess-28-1791-2024, https://doi.org/10.5194/hess-28-1791-2024, 2024
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Spring events in lakes are key processes for ecosystem functioning. We used a coupled catchment–lake model to investigate future changes in the timing of spring discharge, ice-off, spring phytoplankton peak, and onset of stratification in a mesotrophic lake. We found a clear trend towards earlier occurrence under climate warming but also that relative shifts in the timing occurred, such as onset of stratification advancing more slowly than the other events.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 15, 265–291, https://doi.org/10.5194/esd-15-265-2024, https://doi.org/10.5194/esd-15-265-2024, 2024
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Changes in land use are crucial to achieve lower global warming. However, despite their importance, the effects of these changes on moisture fluxes are poorly understood. We analyse land cover and management scenarios in three climate models involving cropland expansion, afforestation, and irrigation. Results show largely consistent influences on moisture fluxes, with cropland expansion causing a drying and reduced local moisture recycling, while afforestation and irrigation show the opposite.
Rosa Pietroiusti, Inne Vanderkelen, Friederike E. L. Otto, Clair Barnes, Lucy Temple, Mary Akurut, Philippe Bally, Nicole P. M. van Lipzig, and Wim Thiery
Earth Syst. Dynam., 15, 225–264, https://doi.org/10.5194/esd-15-225-2024, https://doi.org/10.5194/esd-15-225-2024, 2024
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Heavy rainfall in eastern Africa between late 2019 and mid 2020 caused devastating floods and landslides and drove the levels of Lake Victoria to a record-breaking maximum in May 2020. In this study, we characterize the spatial extent and impacts of the floods in the Lake Victoria basin and investigate how human-induced climate change influenced the probability and intensity of the record-breaking lake levels and flooding by applying a multi-model extreme event attribution methodology.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
Earth Syst. Sci. Data, 16, 1121–1136, https://doi.org/10.5194/essd-16-1121-2024, https://doi.org/10.5194/essd-16-1121-2024, 2024
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Donghui Xu, Gautam Bisht, Zeli Tan, Chang Liao, Tian Zhou, Hong-Yi Li, and L. Ruby Leung
Geosci. Model Dev., 17, 1197–1215, https://doi.org/10.5194/gmd-17-1197-2024, https://doi.org/10.5194/gmd-17-1197-2024, 2024
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We aim to disentangle the hydrological and hydraulic controls on streamflow variability in a fully coupled earth system model. We found that calibrating only one process (i.e., traditional calibration procedure) will result in unrealistic parameter values and poor performance of the water cycle, while the simulated streamflow is improved. To address this issue, we further proposed a two-step calibration procedure to reconcile the impacts from hydrological and hydraulic processes on streamflow.
Celray James Chawanda, Albert Nkwasa, Wim Thiery, and Ann van Griensven
Hydrol. Earth Syst. Sci., 28, 117–138, https://doi.org/10.5194/hess-28-117-2024, https://doi.org/10.5194/hess-28-117-2024, 2024
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Africa's water resources are being negatively impacted by climate change and land-use change. The SWAT+ hydrological model was used to simulate the hydrological cycle in Africa, and results show likely decreases in river flows in the Zambezi and Congo rivers and highest flows in the Niger River basins due to climate change. Land cover change had the biggest impact in the Congo River basin, emphasizing the importance of including land-use change in studies.
Katja Frieler, Jan Volkholz, Stefan Lange, Jacob Schewe, Matthias Mengel, María del Rocío Rivas López, Christian Otto, Christopher P. O. Reyer, Dirk Nikolaus Karger, Johanna T. Malle, Simon Treu, Christoph Menz, Julia L. Blanchard, Cheryl S. Harrison, Colleen M. Petrik, Tyler D. Eddy, Kelly Ortega-Cisneros, Camilla Novaglio, Yannick Rousseau, Reg A. Watson, Charles Stock, Xiao Liu, Ryan Heneghan, Derek Tittensor, Olivier Maury, Matthias Büchner, Thomas Vogt, Tingting Wang, Fubao Sun, Inga J. Sauer, Johannes Koch, Inne Vanderkelen, Jonas Jägermeyr, Christoph Müller, Sam Rabin, Jochen Klar, Iliusi D. Vega del Valle, Gitta Lasslop, Sarah Chadburn, Eleanor Burke, Angela Gallego-Sala, Noah Smith, Jinfeng Chang, Stijn Hantson, Chantelle Burton, Anne Gädeke, Fang Li, Simon N. Gosling, Hannes Müller Schmied, Fred Hattermann, Jida Wang, Fangfang Yao, Thomas Hickler, Rafael Marcé, Don Pierson, Wim Thiery, Daniel Mercado-Bettín, Robert Ladwig, Ana Isabel Ayala-Zamora, Matthew Forrest, and Michel Bechtold
Geosci. Model Dev., 17, 1–51, https://doi.org/10.5194/gmd-17-1-2024, https://doi.org/10.5194/gmd-17-1-2024, 2024
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Our paper provides an overview of all observational climate-related and socioeconomic forcing data used as input for the impact model evaluation and impact attribution experiments within the third round of the Inter-Sectoral Impact Model Intercomparison Project. The experiments are designed to test our understanding of observed changes in natural and human systems and to quantify to what degree these changes have already been induced by climate change.
Austin Delany, Robert Ladwig, Cal Buelo, Ellen Albright, and Paul C. Hanson
Biogeosciences, 20, 5211–5228, https://doi.org/10.5194/bg-20-5211-2023, https://doi.org/10.5194/bg-20-5211-2023, 2023
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Internal and external sources of organic carbon (OC) in lakes can contribute to oxygen depletion, but their relative contributions remain in question. To study this, we built a two-layer model to recreate processes relevant to carbon for six Wisconsin lakes. We found that internal OC was more important than external OC in depleting oxygen. This shows that it is important to consider both the fast-paced cycling of internally produced OC and the slower cycling of external OC when studying lakes.
Benedikt Mester, Thomas Vogt, Seth Bryant, Christian Otto, Katja Frieler, and Jacob Schewe
Nat. Hazards Earth Syst. Sci., 23, 3467–3485, https://doi.org/10.5194/nhess-23-3467-2023, https://doi.org/10.5194/nhess-23-3467-2023, 2023
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In 2019, Cyclone Idai displaced more than 478 000 people in Mozambique. In our study, we use coastal flood modeling and satellite imagery to construct a counterfactual cyclone event without the effects of climate change. We show that 12 600–14 900 displacements can be attributed to sea level rise and the intensification of storm wind speeds due to global warming. Our impact attribution study is the first one on human displacement and one of very few for a low-income country.
Dongyu Feng, Zeli Tan, Donghui Xu, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 27, 3911–3934, https://doi.org/10.5194/hess-27-3911-2023, https://doi.org/10.5194/hess-27-3911-2023, 2023
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This study assesses the flood risks concurrently induced by river flooding and coastal storm surge along the coast of the contiguous United States using statistical and numerical models. We reveal a few hotspots of such risks, the critical spatial variabilities within a river basin and over the whole US coast, and the uncertainties of the risk assessment. We highlight the importance of weighing different risk measures to avoid underestimating or exaggerating the compound flood impacts.
Olivia E. Clifton, Donna Schwede, Christian Hogrefe, Jesse O. Bash, Sam Bland, Philip Cheung, Mhairi Coyle, Lisa Emberson, Johannes Flemming, Erick Fredj, Stefano Galmarini, Laurens Ganzeveld, Orestis Gazetas, Ignacio Goded, Christopher D. Holmes, László Horváth, Vincent Huijnen, Qian Li, Paul A. Makar, Ivan Mammarella, Giovanni Manca, J. William Munger, Juan L. Pérez-Camanyo, Jonathan Pleim, Limei Ran, Roberto San Jose, Sam J. Silva, Ralf Staebler, Shihan Sun, Amos P. K. Tai, Eran Tas, Timo Vesala, Tamás Weidinger, Zhiyong Wu, and Leiming Zhang
Atmos. Chem. Phys., 23, 9911–9961, https://doi.org/10.5194/acp-23-9911-2023, https://doi.org/10.5194/acp-23-9911-2023, 2023
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A primary sink of air pollutants is dry deposition. Dry deposition estimates differ across the models used to simulate atmospheric chemistry. Here, we introduce an effort to examine dry deposition schemes from atmospheric chemistry models. We provide our approach’s rationale, document the schemes, and describe datasets used to drive and evaluate the schemes. We also launch the analysis of results by evaluating against observations and identifying the processes leading to model–model differences.
Alessandro Zanchetta, Linda M. J. Kooijmans, Steven van Heuven, Andrea Scifo, Hubertus A. Scheeren, Ivan Mammarella, Ute Karstens, Jin Ma, Maarten Krol, and Huilin Chen
Biogeosciences, 20, 3539–3553, https://doi.org/10.5194/bg-20-3539-2023, https://doi.org/10.5194/bg-20-3539-2023, 2023
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Carbonyl sulfide (COS) has been suggested as a tool to estimate carbon dioxide (CO2) uptake by plants during photosynthesis. However, understanding its sources and sinks is critical to preventing biases in this estimate. Combining observations and models, this study proves that regional sources occasionally influence the measurements at the 60 m tall Lutjewad tower (1 m a.s.l.; 53°24′ N, 6°21′ E) in the Netherlands. Moreover, it estimates nighttime COS fluxes to be −3.0 ± 2.6 pmol m−2 s−1.
Shruti Nath, Lukas Gudmundsson, Jonas Schwaab, Gregory Duveiller, Steven J. De Hertog, Suqi Guo, Felix Havermann, Fei Luo, Iris Manola, Julia Pongratz, Sonia I. Seneviratne, Carl F. Schleussner, Wim Thiery, and Quentin Lejeune
Geosci. Model Dev., 16, 4283–4313, https://doi.org/10.5194/gmd-16-4283-2023, https://doi.org/10.5194/gmd-16-4283-2023, 2023
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Tree cover changes play a significant role in climate mitigation and adaptation. Their regional impacts are key in informing national-level decisions and prioritising areas for conservation efforts. We present a first step towards exploring these regional impacts using a simple statistical device, i.e. emulator. The emulator only needs to train on climate model outputs representing the maximal impacts of aff-, re-, and deforestation, from which it explores plausible in-between outcomes itself.
Zoé Rehder, Thomas Kleinen, Lars Kutzbach, Victor Stepanenko, Moritz Langer, and Victor Brovkin
Biogeosciences, 20, 2837–2855, https://doi.org/10.5194/bg-20-2837-2023, https://doi.org/10.5194/bg-20-2837-2023, 2023
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We use a new model to investigate how methane emissions from Arctic ponds change with warming. We find that emissions increase substantially. Under annual temperatures 5 °C above present temperatures, pond methane emissions are more than 3 times higher than now. Most of this increase is caused by an increase in plant productivity as plants provide the substrate microbes used to produce methane. We conclude that vegetation changes need to be included in predictions of pond methane emissions.
Dirk Nikolaus Karger, Stefan Lange, Chantal Hari, Christopher P. O. Reyer, Olaf Conrad, Niklaus E. Zimmermann, and Katja Frieler
Earth Syst. Sci. Data, 15, 2445–2464, https://doi.org/10.5194/essd-15-2445-2023, https://doi.org/10.5194/essd-15-2445-2023, 2023
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We present the first 1 km, daily, global climate dataset for climate impact studies. We show that the high-resolution data have a decreased bias and higher correlation with measurements from meteorological stations than coarser data. The dataset will be of value for a wide range of climate change impact studies both at global and regional level that benefit from using a consistent global dataset.
Steven J. De Hertog, Felix Havermann, Inne Vanderkelen, Suqi Guo, Fei Luo, Iris Manola, Dim Coumou, Edouard L. Davin, Gregory Duveiller, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 14, 629–667, https://doi.org/10.5194/esd-14-629-2023, https://doi.org/10.5194/esd-14-629-2023, 2023
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Land cover and land management changes are important strategies for future land-based mitigation. We investigate the climate effects of cropland expansion, afforestation, irrigation and wood harvesting using three Earth system models. Results show that these have important implications for surface temperature where the land cover and/or management change occur and in remote areas. Idealized afforestation causes global warming, which might offset the cooling effect from enhanced carbon uptake.
Steven J. De Hertog, Carmen E. Lopez-Fabara, Ruud van der Ent, Jessica Keune, Diego G. Miralles, Raphael Portmann, Sebastian Schemm, Felix Havermann, Suqi Guo, Fei Luo, Iris Manola, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
EGUsphere, https://doi.org/10.5194/egusphere-2023-953, https://doi.org/10.5194/egusphere-2023-953, 2023
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Land cover and management changes can affect the climate and water availability. In this study we use climate model simulations of extreme global land cover changes (afforestation, deforestation) and land management changes (irrigation) to understand the effects on the global water cycle and local to continental water availability. We show that cropland expansion generally leads to higher evaporation and lower amounts of precipitation and afforestation and irrigation expansion to the opposite.
Francisco José Cuesta-Valero, Hugo Beltrami, Almudena García-García, Gerhard Krinner, Moritz Langer, Andrew H. MacDougall, Jan Nitzbon, Jian Peng, Karina von Schuckmann, Sonia I. Seneviratne, Wim Thiery, Inne Vanderkelen, and Tonghua Wu
Earth Syst. Dynam., 14, 609–627, https://doi.org/10.5194/esd-14-609-2023, https://doi.org/10.5194/esd-14-609-2023, 2023
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Climate change is caused by the accumulated heat in the Earth system, with the land storing the second largest amount of this extra heat. Here, new estimates of continental heat storage are obtained, including changes in inland-water heat storage and permafrost heat storage in addition to changes in ground heat storage. We also argue that heat gains in all three components should be monitored independently of their magnitude due to heat-dependent processes affecting society and ecosystems.
Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Earth's climate is out of energy balance, and this study quantifies how much heat has consequently accumulated over the past decades (ocean: 89 %, land: 6 %, cryosphere: 4 %, atmosphere: 1 %). Since 1971, this accumulated heat reached record values at an increasing pace. The Earth heat inventory provides a comprehensive view on the status and expectation of global warming, and we call for an implementation of this global climate indicator into the Paris Agreement’s Global Stocktake.
Martine Lizotte, Bennet Juhls, Atsushi Matsuoka, Philippe Massicotte, Gaëlle Mével, David Obie James Anikina, Sofia Antonova, Guislain Bécu, Marine Béguin, Simon Bélanger, Thomas Bossé-Demers, Lisa Bröder, Flavienne Bruyant, Gwénaëlle Chaillou, Jérôme Comte, Raoul-Marie Couture, Emmanuel Devred, Gabrièle Deslongchamps, Thibaud Dezutter, Miles Dillon, David Doxaran, Aude Flamand, Frank Fell, Joannie Ferland, Marie-Hélène Forget, Michael Fritz, Thomas J. Gordon, Caroline Guilmette, Andrea Hilborn, Rachel Hussherr, Charlotte Irish, Fabien Joux, Lauren Kipp, Audrey Laberge-Carignan, Hugues Lantuit, Edouard Leymarie, Antonio Mannino, Juliette Maury, Paul Overduin, Laurent Oziel, Colin Stedmon, Crystal Thomas, Lucas Tisserand, Jean-Éric Tremblay, Jorien Vonk, Dustin Whalen, and Marcel Babin
Earth Syst. Sci. Data, 15, 1617–1653, https://doi.org/10.5194/essd-15-1617-2023, https://doi.org/10.5194/essd-15-1617-2023, 2023
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Permafrost thaw in the Mackenzie Delta region results in the release of organic matter into the coastal marine environment. What happens to this carbon-rich organic matter as it transits along the fresh to salty aquatic environments is still underdocumented. Four expeditions were conducted from April to September 2019 in the coastal area of the Beaufort Sea to study the fate of organic matter. This paper describes a rich set of data characterizing the composition and sources of organic matter.
François Clayer, Leah Jackson-Blake, Daniel Mercado-Bettín, Muhammed Shikhani, Andrew French, Tadhg Moore, James Sample, Magnus Norling, Maria-Dolores Frias, Sixto Herrera, Elvira de Eyto, Eleanor Jennings, Karsten Rinke, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 27, 1361–1381, https://doi.org/10.5194/hess-27-1361-2023, https://doi.org/10.5194/hess-27-1361-2023, 2023
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We assessed the predictive skill of forecasting tools over the next season for water discharge and lake temperature. Tools were forced with seasonal weather predictions; however, most of the prediction skill originates from legacy effects and not from seasonal weather predictions. Yet, when skills from seasonal weather predictions are present, additional skill comes from interaction effects. Skilful lake seasonal predictions require better weather predictions and realistic antecedent conditions.
Matti Kämäräinen, Juha-Pekka Tuovinen, Markku Kulmala, Ivan Mammarella, Juha Aalto, Henriikka Vekuri, Annalea Lohila, and Anna Lintunen
Biogeosciences, 20, 897–909, https://doi.org/10.5194/bg-20-897-2023, https://doi.org/10.5194/bg-20-897-2023, 2023
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In this study, we introduce a new method for modeling the exchange of carbon between the atmosphere and a study site located in a boreal forest in southern Finland. Our method yields more accurate results than previous approaches in this context. Accurately estimating carbon exchange is crucial for gaining a better understanding of the role of forests in regulating atmospheric carbon and addressing climate change.
Olivia Desgué-Itier, Laura Melo Vieira Soares, Orlane Anneville, Damien Bouffard, Vincent Chanudet, Pierre Alain Danis, Isabelle Domaizon, Jean Guillard, Théo Mazure, Najwa Sharaf, Frédéric Soulignac, Viet Tran-Khac, Brigitte Vinçon-Leite, and Jean-Philippe Jenny
Hydrol. Earth Syst. Sci., 27, 837–859, https://doi.org/10.5194/hess-27-837-2023, https://doi.org/10.5194/hess-27-837-2023, 2023
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The long-term effects of climate change will include an increase in lake surface and deep water temperatures. Incorporating up to 6 decades of limnological monitoring into an improved 1D lake model approach allows us to predict the thermal regime and oxygen solubility in four peri-alpine lakes over the period 1850–2100. Our modeling approach includes a revised selection of forcing variables and provides a way to investigate the impacts of climate variations on lakes for centennial timescales.
Kim A. P. Faassen, Linh N. T. Nguyen, Eadin R. Broekema, Bert A. M. Kers, Ivan Mammarella, Timo Vesala, Penelope A. Pickers, Andrew C. Manning, Jordi Vilà-Guerau de Arellano, Harro A. J. Meijer, Wouter Peters, and Ingrid T. Luijkx
Atmos. Chem. Phys., 23, 851–876, https://doi.org/10.5194/acp-23-851-2023, https://doi.org/10.5194/acp-23-851-2023, 2023
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The exchange ratio (ER) between atmospheric O2 and CO2 provides a useful tracer for separately estimating photosynthesis and respiration processes in the forest carbon balance. This is highly relevant to better understand the expected biosphere sink, which determines future atmospheric CO2 levels. We therefore measured O2, CO2, and their ER above a boreal forest in Finland and investigated their diurnal behaviour for a representative day, and we show the most suitable way to determine the ER.
Shuqi Lin, Donald C. Pierson, and Jorrit P. Mesman
Geosci. Model Dev., 16, 35–46, https://doi.org/10.5194/gmd-16-35-2023, https://doi.org/10.5194/gmd-16-35-2023, 2023
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The risks brought by the proliferation of algal blooms motivate the improvement of bloom forecasting tools, but algal blooms are complexly controlled and difficult to predict. Given rapid growth of monitoring data and advances in computation, machine learning offers an alternative prediction methodology. This study tested various machine learning workflows in a dimictic mesotrophic lake and gave promising predictions of the seasonal variations and the timing of algal blooms.
Marlene Dordoni, Michael Seewald, Karsten Rinke, Kurt Friese, Robert van Geldern, Jakob Schmidmeier, and Johannes A. C. Barth
Biogeosciences, 19, 5343–5355, https://doi.org/10.5194/bg-19-5343-2022, https://doi.org/10.5194/bg-19-5343-2022, 2022
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Organic matter (OM) turnover into dissolved inorganic carbon (DIC) was investigated by means of carbon isotope mass balances in Germany's largest water reservoir. This includes a metalimnetic oxygen minimum (MOM). Autochthonous particulate organic carbon (POC) was the main contributor to DIC, with rates that were highest for the MOM. Generally low turnover rates outline the environmental fragility of this water body in the case that OM loads increase due to storm events or land use changes.
Axel A. J. Deijns, Olivier Dewitte, Wim Thiery, Nicolas d'Oreye, Jean-Philippe Malet, and François Kervyn
Nat. Hazards Earth Syst. Sci., 22, 3679–3700, https://doi.org/10.5194/nhess-22-3679-2022, https://doi.org/10.5194/nhess-22-3679-2022, 2022
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Landslides and flash floods are rainfall-induced processes that often co-occur and interact, generally very quickly. In mountainous cloud-covered environments, determining when these processes occur remains challenging. We propose a regional methodology using open-access satellite radar images that allow for the timing of landslide and flash floods events, in the contrasting landscapes of tropical Africa, with an accuracy of up to a few days. The methodology shows potential for transferability.
Dongyu Feng, Zeli Tan, Darren Engwirda, Chang Liao, Donghui Xu, Gautam Bisht, Tian Zhou, Hong-Yi Li, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 5473–5491, https://doi.org/10.5194/hess-26-5473-2022, https://doi.org/10.5194/hess-26-5473-2022, 2022
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Sea level rise, storm surge and river discharge can cause coastal backwater effects in downstream sections of rivers, creating critical flood risks. This study simulates the backwater effects using a large-scale river model on a coastal-refined computational mesh. By decomposing the backwater drivers, we revealed their relative importance and long-term variations. Our analysis highlights the increasing strength of backwater effects due to sea level rise and more frequent storm surge.
Artur Safin, Damien Bouffard, Firat Ozdemir, Cintia L. Ramón, James Runnalls, Fotis Georgatos, Camille Minaudo, and Jonas Šukys
Geosci. Model Dev., 15, 7715–7730, https://doi.org/10.5194/gmd-15-7715-2022, https://doi.org/10.5194/gmd-15-7715-2022, 2022
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Reconciling the differences between numerical model predictions and observational data is always a challenge. In this paper, we investigate the viability of a novel approach to the calibration of a three-dimensional hydrodynamic model of Lake Geneva, where the target parameters are inferred in terms of distributions. We employ a filtering technique that generates physically consistent model trajectories and implement a neural network to enable bulk-to-skin temperature conversion.
Steven J. De Hertog, Felix Havermann, Inne Vanderkelen, Suqi Guo, Fei Luo, Iris Manola, Dim Coumou, Edouard L. Davin, Gregory Duveiller, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, and Wim Thiery
Earth Syst. Dynam., 13, 1305–1350, https://doi.org/10.5194/esd-13-1305-2022, https://doi.org/10.5194/esd-13-1305-2022, 2022
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Land cover and land management changes are important strategies for future land-based mitigation. We investigate the climate effects of cropland expansion, afforestation, irrigation, and wood harvesting using three Earth system models. Results show that these have important implications for surface temperature where the land cover and/or management change occurs and in remote areas. Idealized afforestation causes global warming, which might offset the cooling effect from enhanced carbon uptake.
Mengxiao Wang, Lijuan Wen, Zhaoguo Li, Matti Leppäranta, Victor Stepanenko, Yixin Zhao, Ruijia Niu, Liuyiyi Yang, and Georgiy Kirillin
The Cryosphere, 16, 3635–3648, https://doi.org/10.5194/tc-16-3635-2022, https://doi.org/10.5194/tc-16-3635-2022, 2022
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The under-ice water temperature of Ngoring Lake has been rising based on in situ observations. We obtained results showing that strong downward shortwave radiation is the main meteorological factor, and precipitation, wind speed, downward longwave radiation, air temperature, ice albedo, and ice extinction coefficient have an impact on the range and rate of lake temperature rise. Once the ice breaks, the lake body releases more energy than other lakes, whose water temperature remains horizontal.
Dominik Paprotny and Matthias Mengel
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-194, https://doi.org/10.5194/gmd-2022-194, 2022
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Population and economic growth over past decades have increased risk posed by natural hazards. The model presented here generates high-resolution maps of land use, population and assets (exposure) from 1870 to 2020 for 42 countries. It combines multiple methods with a large database of historical statistical data to approximate past anthropogenic environment of Europe. It enables attributing losses from past disasters to climate change by removing the influence of changes in exposure.
Kukka-Maaria Kohonen, Roderick Dewar, Gianluca Tramontana, Aleksanteri Mauranen, Pasi Kolari, Linda M. J. Kooijmans, Dario Papale, Timo Vesala, and Ivan Mammarella
Biogeosciences, 19, 4067–4088, https://doi.org/10.5194/bg-19-4067-2022, https://doi.org/10.5194/bg-19-4067-2022, 2022
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Four different methods for quantifying photosynthesis (GPP) at ecosystem scale were tested, of which two are based on carbon dioxide (CO2) and two on carbonyl sulfide (COS) flux measurements. CO2-based methods are traditional partitioning, and a new method uses machine learning. We introduce a novel method for calculating GPP from COS fluxes, with potentially better applicability than the former methods. Both COS-based methods gave on average higher GPP estimates than the CO2-based estimates.
Elena Shevnina, Miguel Potes, Timo Vihma, Tuomas Naakka, Pankaj Ramji Dhote, and Praveen Kumar Thakur
The Cryosphere, 16, 3101–3121, https://doi.org/10.5194/tc-16-3101-2022, https://doi.org/10.5194/tc-16-3101-2022, 2022
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The evaporation over an ice-free glacial lake was measured in January 2018, and the uncertainties inherent to five indirect methods were quantified. Results show that in summer up to 5 mm of water evaporated daily from the surface of the lake located in Antarctica. The indirect methods underestimated the evaporation over the lake's surface by up to 72 %. The results are important for estimating the evaporation over polar regions where a growing number of glacial lakes have recently been evident.
Louise Busschaert, Shannon de Roos, Wim Thiery, Dirk Raes, and Gabriëlle J. M. De Lannoy
Hydrol. Earth Syst. Sci., 26, 3731–3752, https://doi.org/10.5194/hess-26-3731-2022, https://doi.org/10.5194/hess-26-3731-2022, 2022
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Increasing amounts of water are used for agriculture. Therefore, we looked into how irrigation requirements will evolve under a changing climate over Europe. Our results show that, by the end of the century and under high emissions, irrigation water will increase by 30 % on average compared to the year 2000. Also, the irrigation requirement is likely to vary more from 1 year to another. However, if emissions are mitigated, these effects are reduced.
Joonatan Ala-Könni, Kukka-Maaria Kohonen, Matti Leppäranta, and Ivan Mammarella
Geosci. Model Dev., 15, 4739–4755, https://doi.org/10.5194/gmd-15-4739-2022, https://doi.org/10.5194/gmd-15-4739-2022, 2022
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Properties of seasonally ice-covered lakes are not currently sufficiently included in global climate models. To fill this gap, this study evaluates three models that could be used to quantify the amount of heat that moves from and into the lake by the air above it and through evaporation of the ice cover. The results show that the complex nature of the surrounding environment as well as difficulties in accurately measuring the surface temperature of ice introduce errors to these models.
Victor Lomov, Victor Stepanenko, Maria Grechushnikova, and Irina Repina
EGUsphere, https://doi.org/10.5194/egusphere-2022-329, https://doi.org/10.5194/egusphere-2022-329, 2022
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We present the first mechanistic model LAKE2.3 for prediction of methane emissions from artificial reservoirs. Estimates of CH4 emissions from the Mozhaysk reservoir (Moscow region) provided by the model are demonstrated. Methane annual emissions through diffusion, ebullition and downstream degassing according to in situ measurements and model simulations are presented. The experiments with the model allowed to determine the most sensitive model parameters for calibration of methane fluxes.
Inne Vanderkelen, Shervan Gharari, Naoki Mizukami, Martyn P. Clark, David M. Lawrence, Sean Swenson, Yadu Pokhrel, Naota Hanasaki, Ann van Griensven, and Wim Thiery
Geosci. Model Dev., 15, 4163–4192, https://doi.org/10.5194/gmd-15-4163-2022, https://doi.org/10.5194/gmd-15-4163-2022, 2022
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Human-controlled reservoirs have a large influence on the global water cycle. However, dam operations are rarely represented in Earth system models. We implement and evaluate a widely used reservoir parametrization in a global river-routing model. Using observations of individual reservoirs, the reservoir scheme outperforms the natural lake scheme. However, both schemes show a similar performance due to biases in runoff timing and magnitude when using simulated runoff.
Bernhard Aichner, David Dubbert, Christine Kiel, Katrin Kohnert, Igor Ogashawara, Andreas Jechow, Sarah-Faye Harpenslager, Franz Hölker, Jens Christian Nejstgaard, Hans-Peter Grossart, Gabriel Singer, Sabine Wollrab, and Stella Angela Berger
Earth Syst. Sci. Data, 14, 1857–1867, https://doi.org/10.5194/essd-14-1857-2022, https://doi.org/10.5194/essd-14-1857-2022, 2022
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Water isotopes were measured along transects and in the form of time series in northeastern German lakes. The spatial patterns within the data and their seasonal variability are related to morphological and hydrological properties of the studied lake systems. They are further useful for the understanding of biogeochemical and ecological characteristics of these lakes.
Jarmo Mäkelä, Laila Melkas, Ivan Mammarella, Tuomo Nieminen, Suyog Chandramouli, Rafael Savvides, and Kai Puolamäki
Biogeosciences, 19, 2095–2099, https://doi.org/10.5194/bg-19-2095-2022, https://doi.org/10.5194/bg-19-2095-2022, 2022
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Causal structure discovery algorithms have been making headway into Earth system sciences, and they can be used to increase our understanding on biosphere–atmosphere interactions. In this paper we present a procedure on how to utilize prior knowledge of the domain experts together with these algorithms in order to find more robust causal structure models. We also demonstrate how to avoid pitfalls such as over-fitting and concept drift during this process.
Hanna K. Lappalainen, Tuukka Petäjä, Timo Vihma, Jouni Räisänen, Alexander Baklanov, Sergey Chalov, Igor Esau, Ekaterina Ezhova, Matti Leppäranta, Dmitry Pozdnyakov, Jukka Pumpanen, Meinrat O. Andreae, Mikhail Arshinov, Eija Asmi, Jianhui Bai, Igor Bashmachnikov, Boris Belan, Federico Bianchi, Boris Biskaborn, Michael Boy, Jaana Bäck, Bin Cheng, Natalia Chubarova, Jonathan Duplissy, Egor Dyukarev, Konstantinos Eleftheriadis, Martin Forsius, Martin Heimann, Sirkku Juhola, Vladimir Konovalov, Igor Konovalov, Pavel Konstantinov, Kajar Köster, Elena Lapshina, Anna Lintunen, Alexander Mahura, Risto Makkonen, Svetlana Malkhazova, Ivan Mammarella, Stefano Mammola, Stephany Buenrostro Mazon, Outi Meinander, Eugene Mikhailov, Victoria Miles, Stanislav Myslenkov, Dmitry Orlov, Jean-Daniel Paris, Roberta Pirazzini, Olga Popovicheva, Jouni Pulliainen, Kimmo Rautiainen, Torsten Sachs, Vladimir Shevchenko, Andrey Skorokhod, Andreas Stohl, Elli Suhonen, Erik S. Thomson, Marina Tsidilina, Veli-Pekka Tynkkynen, Petteri Uotila, Aki Virkkula, Nadezhda Voropay, Tobias Wolf, Sayaka Yasunaka, Jiahua Zhang, Yubao Qiu, Aijun Ding, Huadong Guo, Valery Bondur, Nikolay Kasimov, Sergej Zilitinkevich, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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We summarize results during the last 5 years in the northern Eurasian region, especially from Russia, and introduce recent observations of the air quality in the urban environments in China. Although the scientific knowledge in these regions has increased, there are still gaps in our understanding of large-scale climate–Earth surface interactions and feedbacks. This arises from limitations in research infrastructures and integrative data analyses, hindering a comprehensive system analysis.
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022, https://doi.org/10.5194/hess-26-1389-2022, 2022
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We explore, together with stakeholders, whether seasonal forecasting of water quantity, quality, and ecology can help support water management at five case study sites, primarily in Europe. Reliable forecasting, a season in advance, has huge potential to improve decision-making. However, managers were reluctant to use the forecasts operationally. Key barriers were uncertainty and often poor historic performance. The importance of practical hands-on experience was also highlighted.
Jinshi Jian, Xuan Du, Juying Jiao, Xiaohua Ren, Karl Auerswald, Ryan Stewart, Zeli Tan, Jianlin Zhao, Daniel L. Evans, Guangju Zhao, Nufang Fang, Wenyi Sun, Chao Yue, and Ben Bond-Lamberty
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-87, https://doi.org/10.5194/essd-2022-87, 2022
Manuscript not accepted for further review
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Field soil loss and sediment yield due to surface runoff observations were compiled into a database named AWESOME: Archive for Water Erosion and Sediment Outflow MEasurements. Annual soil erosion data from 1985 geographic sites and 75 countries have been compiled into AWESOME. This database aims to be an open framework for the scientific community to share field-based annual soil erosion measurements, enabling better understanding of the spatial and temporal variability of annual soil erosion.
Timo Vesala, Kukka-Maaria Kohonen, Linda M. J. Kooijmans, Arnaud P. Praplan, Lenka Foltýnová, Pasi Kolari, Markku Kulmala, Jaana Bäck, David Nelson, Dan Yakir, Mark Zahniser, and Ivan Mammarella
Atmos. Chem. Phys., 22, 2569–2584, https://doi.org/10.5194/acp-22-2569-2022, https://doi.org/10.5194/acp-22-2569-2022, 2022
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Carbonyl sulfide (COS) provides new insights into carbon cycle research. We present an easy-to-use flux parameterization and the longest existing time series of forest–atmosphere COS exchange measurements, which allow us to study both seasonal and interannual variability. We observed only uptake of COS by the forest on an annual basis, with 37 % variability between years. Upscaling the boreal COS uptake using a biosphere model indicates a significant missing COS sink at high latitudes.
Guta Wakbulcho Abeshu, Hong-Yi Li, Zhenduo Zhu, Zeli Tan, and L. Ruby Leung
Earth Syst. Sci. Data, 14, 929–942, https://doi.org/10.5194/essd-14-929-2022, https://doi.org/10.5194/essd-14-929-2022, 2022
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Existing riverbed sediment particle size data are sparsely available at individual sites. We develop a continuous map of median riverbed sediment particle size over the contiguous US corresponding to millions of river segments based on the existing observations and machine learning methods. This map is useful for research in large-scale river sediment using model- and data-driven approaches, teaching environmental and earth system sciences, planning and managing floodplain zones, etc.
Aine M. Gormley-Gallagher, Sebastian Sterl, Annette L. Hirsch, Sonia I. Seneviratne, Edouard L. Davin, and Wim Thiery
Earth Syst. Dynam., 13, 419–438, https://doi.org/10.5194/esd-13-419-2022, https://doi.org/10.5194/esd-13-419-2022, 2022
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Our results show that agricultural management can impact the local climate and highlight the need to evaluate land management in climate models. We use regression analysis on climate simulations and observations to assess irrigation and conservation agriculture impacts on warming trends. This allowed us to distinguish between the effects of land management and large-scale climate forcings such as rising CO2 concentrations and thus gain insight into the impacts under different climate regimes.
Hong-Yi Li, Zeli Tan, Hongbo Ma, Zhenduo Zhu, Guta Wakbulcho Abeshu, Senlin Zhu, Sagy Cohen, Tian Zhou, Donghui Xu, and L. Ruby Leung
Hydrol. Earth Syst. Sci., 26, 665–688, https://doi.org/10.5194/hess-26-665-2022, https://doi.org/10.5194/hess-26-665-2022, 2022
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We introduce a new multi-process river sediment module for Earth system models. Application and validation over the contiguous US indicate a satisfactory model performance over large river systems, including those heavily regulated by reservoirs. This new sediment module enables future modeling of the transportation and transformation of carbon and nutrients carried by the fine sediment along the river–ocean continuum to close the global carbon and nutrient cycles.
Tomy Doda, Cintia L. Ramón, Hugo N. Ulloa, Alfred Wüest, and Damien Bouffard
Hydrol. Earth Syst. Sci., 26, 331–353, https://doi.org/10.5194/hess-26-331-2022, https://doi.org/10.5194/hess-26-331-2022, 2022
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At night or during cold periods, the shallow littoral region of lakes cools faster than their deeper interior. This induces a cold downslope current that carries littoral waters offshore. From a 1-year-long database collected in a small temperate lake, we resolve the seasonality of this current and report its frequent occurrence from summer to winter. This study contributes to a better quantification of lateral exchange in lakes, with implications for the transport of dissolved compounds.
Anna-Maria Virkkala, Susan M. Natali, Brendan M. Rogers, Jennifer D. Watts, Kathleen Savage, Sara June Connon, Marguerite Mauritz, Edward A. G. Schuur, Darcy Peter, Christina Minions, Julia Nojeim, Roisin Commane, Craig A. Emmerton, Mathias Goeckede, Manuel Helbig, David Holl, Hiroki Iwata, Hideki Kobayashi, Pasi Kolari, Efrén López-Blanco, Maija E. Marushchak, Mikhail Mastepanov, Lutz Merbold, Frans-Jan W. Parmentier, Matthias Peichl, Torsten Sachs, Oliver Sonnentag, Masahito Ueyama, Carolina Voigt, Mika Aurela, Julia Boike, Gerardo Celis, Namyi Chae, Torben R. Christensen, M. Syndonia Bret-Harte, Sigrid Dengel, Han Dolman, Colin W. Edgar, Bo Elberling, Eugenie Euskirchen, Achim Grelle, Juha Hatakka, Elyn Humphreys, Järvi Järveoja, Ayumi Kotani, Lars Kutzbach, Tuomas Laurila, Annalea Lohila, Ivan Mammarella, Yojiro Matsuura, Gesa Meyer, Mats B. Nilsson, Steven F. Oberbauer, Sang-Jong Park, Roman Petrov, Anatoly S. Prokushkin, Christopher Schulze, Vincent L. St. Louis, Eeva-Stiina Tuittila, Juha-Pekka Tuovinen, William Quinton, Andrej Varlagin, Donatella Zona, and Viacheslav I. Zyryanov
Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, https://doi.org/10.5194/essd-14-179-2022, 2022
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The effects of climate warming on carbon cycling across the Arctic–boreal zone (ABZ) remain poorly understood due to the relatively limited distribution of ABZ flux sites. Fortunately, this flux network is constantly increasing, but new measurements are published in various platforms, making it challenging to understand the ABZ carbon cycle as a whole. Here, we compiled a new database of Arctic–boreal CO2 fluxes to help facilitate large-scale assessments of the ABZ carbon cycle.
Manuel C. Almeida, Yurii Shevchuk, Georgiy Kirillin, Pedro M. M. Soares, Rita M. Cardoso, José P. Matos, Ricardo M. Rebelo, António C. Rodrigues, and Pedro S. Coelho
Geosci. Model Dev., 15, 173–197, https://doi.org/10.5194/gmd-15-173-2022, https://doi.org/10.5194/gmd-15-173-2022, 2022
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In this study, we have evaluated the importance of the input of energy conveyed by river inflows into lakes and reservoirs when modeling surface water energy fluxes. Our results suggest that there is a strong correlation between water residence time and the surface water temperature prediction error and that the combined use of process-based physical models and machine-learning models will considerably improve the modeling of air–lake heat and moisture fluxes.
Linda M. J. Kooijmans, Ara Cho, Jin Ma, Aleya Kaushik, Katherine D. Haynes, Ian Baker, Ingrid T. Luijkx, Mathijs Groenink, Wouter Peters, John B. Miller, Joseph A. Berry, Jerome Ogée, Laura K. Meredith, Wu Sun, Kukka-Maaria Kohonen, Timo Vesala, Ivan Mammarella, Huilin Chen, Felix M. Spielmann, Georg Wohlfahrt, Max Berkelhammer, Mary E. Whelan, Kadmiel Maseyk, Ulli Seibt, Roisin Commane, Richard Wehr, and Maarten Krol
Biogeosciences, 18, 6547–6565, https://doi.org/10.5194/bg-18-6547-2021, https://doi.org/10.5194/bg-18-6547-2021, 2021
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The gas carbonyl sulfide (COS) can be used to estimate photosynthesis. To adopt this approach on regional and global scales, we need biosphere models that can simulate COS exchange. So far, such models have not been evaluated against observations. We evaluate the COS biosphere exchange of the SiB4 model against COS flux observations. We find that the model is capable of simulating key processes in COS biosphere exchange. Still, we give recommendations for further improvement of the model.
Auke J. Visser, Laurens N. Ganzeveld, Ignacio Goded, Maarten C. Krol, Ivan Mammarella, Giovanni Manca, and K. Folkert Boersma
Atmos. Chem. Phys., 21, 18393–18411, https://doi.org/10.5194/acp-21-18393-2021, https://doi.org/10.5194/acp-21-18393-2021, 2021
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Dry deposition is an important sink for tropospheric ozone that affects ecosystem carbon uptake, but process understanding remains incomplete. We apply a common deposition representation in atmospheric chemistry models and a multi-layer canopy model to multi-year ozone deposition observations. The multi-layer canopy model performs better on diurnal timescales compared to the common approach, leading to a substantially improved simulation of ozone deposition and vegetation ozone impact metrics.
Marco Toffolon, Luca Cortese, and Damien Bouffard
Geosci. Model Dev., 14, 7527–7543, https://doi.org/10.5194/gmd-14-7527-2021, https://doi.org/10.5194/gmd-14-7527-2021, 2021
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The time when lakes freeze varies considerably from year to year. A common way to predict it is to use negative degree days, i.e., the sum of air temperatures below 0 °C, a proxy for the heat lost to the atmosphere. Here, we show that this is insufficient as the mixing of the surface layer induced by wind tends to delay the formation of ice. To do so, we developed a minimal model based on a simplified energy balance, which can be used both for large-scale analyses and short-term predictions.
Pascal Perolo, Bieito Fernández Castro, Nicolas Escoffier, Thibault Lambert, Damien Bouffard, and Marie-Elodie Perga
Earth Syst. Dynam., 12, 1169–1189, https://doi.org/10.5194/esd-12-1169-2021, https://doi.org/10.5194/esd-12-1169-2021, 2021
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Wind blowing over the ocean creates waves that, by increasing the level of turbulence, promote gas exchange at the air–water interface. In this study, for the first time, we measured enhanced gas exchanges by wind-induced waves at the surface of a large lake. We adapted an ocean-based model to account for the effect of surface waves on gas exchange in lakes. We finally show that intense wind events with surface waves contribute disproportionately to the annual CO2 gas flux in a large lake.
Alex Resovsky, Michel Ramonet, Leonard Rivier, Jerome Tarniewicz, Philippe Ciais, Martin Steinbacher, Ivan Mammarella, Meelis Mölder, Michal Heliasz, Dagmar Kubistin, Matthias Lindauer, Jennifer Müller-Williams, Sebastien Conil, and Richard Engelen
Atmos. Meas. Tech., 14, 6119–6135, https://doi.org/10.5194/amt-14-6119-2021, https://doi.org/10.5194/amt-14-6119-2021, 2021
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We present a technical description of a statistical methodology for extracting synoptic- and seasonal-length anomalies from greenhouse gas time series. The definition of what represents an anomalous signal is somewhat subjective, which we touch on throughout the paper. We show, however, that the method performs reasonably well in extracting portions of time series influenced by significant North Atlantic Oscillation weather episodes and continent-wide terrestrial biospheric aberrations.
Matthias Mengel, Simon Treu, Stefan Lange, and Katja Frieler
Geosci. Model Dev., 14, 5269–5284, https://doi.org/10.5194/gmd-14-5269-2021, https://doi.org/10.5194/gmd-14-5269-2021, 2021
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To identify the impacts of historical climate change it is necessary to separate the effect of the different impact drivers. To address this, one needs to compare historical impacts to a counterfactual world with impacts that would have been without climate change. We here present an approach that produces counterfactual climate data and can be used in climate impact models to simulate counterfactual impacts. We make these data available through the ISIMIP project.
Silje Lund Sørland, Roman Brogli, Praveen Kumar Pothapakula, Emmanuele Russo, Jonas Van de Walle, Bodo Ahrens, Ivonne Anders, Edoardo Bucchignani, Edouard L. Davin, Marie-Estelle Demory, Alessandro Dosio, Hendrik Feldmann, Barbara Früh, Beate Geyer, Klaus Keuler, Donghyun Lee, Delei Li, Nicole P. M. van Lipzig, Seung-Ki Min, Hans-Jürgen Panitz, Burkhardt Rockel, Christoph Schär, Christian Steger, and Wim Thiery
Geosci. Model Dev., 14, 5125–5154, https://doi.org/10.5194/gmd-14-5125-2021, https://doi.org/10.5194/gmd-14-5125-2021, 2021
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We review the contribution from the CLM-Community to regional climate projections following the CORDEX framework over Europe, South Asia, East Asia, Australasia, and Africa. How the model configuration, horizontal and vertical resolutions, and choice of driving data influence the model results for the five domains is assessed, with the purpose of aiding the planning and design of regional climate simulations in the future.
Pavel Alekseychik, Aino Korrensalo, Ivan Mammarella, Samuli Launiainen, Eeva-Stiina Tuittila, Ilkka Korpela, and Timo Vesala
Biogeosciences, 18, 4681–4704, https://doi.org/10.5194/bg-18-4681-2021, https://doi.org/10.5194/bg-18-4681-2021, 2021
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Bogs of northern Eurasia represent a major type of peatland ecosystem and contain vast amounts of carbon, but carbon balance monitoring studies on bogs are scarce. The current project explores 6 years of carbon balance data obtained using the state-of-the-art eddy-covariance technique at a Finnish bog Siikaneva. The results reveal relatively low interannual variability indicative of ecosystem resilience to both cool and hot summers and provide new insights into the seasonal course of C fluxes.
Kyle B. Delwiche, Sara Helen Knox, Avni Malhotra, Etienne Fluet-Chouinard, Gavin McNicol, Sarah Feron, Zutao Ouyang, Dario Papale, Carlo Trotta, Eleonora Canfora, You-Wei Cheah, Danielle Christianson, Ma. Carmelita R. Alberto, Pavel Alekseychik, Mika Aurela, Dennis Baldocchi, Sheel Bansal, David P. Billesbach, Gil Bohrer, Rosvel Bracho, Nina Buchmann, David I. Campbell, Gerardo Celis, Jiquan Chen, Weinan Chen, Housen Chu, Higo J. Dalmagro, Sigrid Dengel, Ankur R. Desai, Matteo Detto, Han Dolman, Elke Eichelmann, Eugenie Euskirchen, Daniela Famulari, Kathrin Fuchs, Mathias Goeckede, Sébastien Gogo, Mangaliso J. Gondwe, Jordan P. Goodrich, Pia Gottschalk, Scott L. Graham, Martin Heimann, Manuel Helbig, Carole Helfter, Kyle S. Hemes, Takashi Hirano, David Hollinger, Lukas Hörtnagl, Hiroki Iwata, Adrien Jacotot, Gerald Jurasinski, Minseok Kang, Kuno Kasak, John King, Janina Klatt, Franziska Koebsch, Ken W. Krauss, Derrick Y. F. Lai, Annalea Lohila, Ivan Mammarella, Luca Belelli Marchesini, Giovanni Manca, Jaclyn Hatala Matthes, Trofim Maximov, Lutz Merbold, Bhaskar Mitra, Timothy H. Morin, Eiko Nemitz, Mats B. Nilsson, Shuli Niu, Walter C. Oechel, Patricia Y. Oikawa, Keisuke Ono, Matthias Peichl, Olli Peltola, Michele L. Reba, Andrew D. Richardson, William Riley, Benjamin R. K. Runkle, Youngryel Ryu, Torsten Sachs, Ayaka Sakabe, Camilo Rey Sanchez, Edward A. Schuur, Karina V. R. Schäfer, Oliver Sonnentag, Jed P. Sparks, Ellen Stuart-Haëntjens, Cove Sturtevant, Ryan C. Sullivan, Daphne J. Szutu, Jonathan E. Thom, Margaret S. Torn, Eeva-Stiina Tuittila, Jessica Turner, Masahito Ueyama, Alex C. Valach, Rodrigo Vargas, Andrej Varlagin, Alma Vazquez-Lule, Joseph G. Verfaillie, Timo Vesala, George L. Vourlitis, Eric J. Ward, Christian Wille, Georg Wohlfahrt, Guan Xhuan Wong, Zhen Zhang, Donatella Zona, Lisamarie Windham-Myers, Benjamin Poulter, and Robert B. Jackson
Earth Syst. Sci. Data, 13, 3607–3689, https://doi.org/10.5194/essd-13-3607-2021, https://doi.org/10.5194/essd-13-3607-2021, 2021
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Methane is an important greenhouse gas, yet we lack knowledge about its global emissions and drivers. We present FLUXNET-CH4, a new global collection of methane measurements and a critical resource for the research community. We use FLUXNET-CH4 data to quantify the seasonality of methane emissions from freshwater wetlands, finding that methane seasonality varies strongly with latitude. Our new database and analysis will improve wetland model accuracy and inform greenhouse gas budgets.
Olli Peltola, Toprak Aslan, Andreas Ibrom, Eiko Nemitz, Üllar Rannik, and Ivan Mammarella
Atmos. Meas. Tech., 14, 5071–5088, https://doi.org/10.5194/amt-14-5071-2021, https://doi.org/10.5194/amt-14-5071-2021, 2021
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Gas fluxes measured by the eddy covariance (EC) technique are subject to filtering due to non-ideal instrumentation. For linear first-order systems this filtering causes also a time lag between vertical wind speed and gas signal which is additional to the gas travel time in the sampling line. The effect of this additional time lag on EC fluxes is ignored in current EC data processing routines. Here we show that this oversight biases EC fluxes and hence propose an approach to rectify this bias.
Toprak Aslan, Olli Peltola, Andreas Ibrom, Eiko Nemitz, Üllar Rannik, and Ivan Mammarella
Atmos. Meas. Tech., 14, 5089–5106, https://doi.org/10.5194/amt-14-5089-2021, https://doi.org/10.5194/amt-14-5089-2021, 2021
Short summary
Short summary
Vertical turbulent fluxes of gases measured by the eddy covariance (EC) technique are subject to high-frequency losses. There are different methods used to describe this low-pass filtering effect and to correct the measured fluxes. In this study, we analysed the systematic uncertainty related to this correction for various attenuation and signal-to-noise ratios. A new and robust transfer function method is finally proposed.
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021, https://doi.org/10.5194/gmd-14-3843-2021, 2021
Short summary
Short summary
We analyse water storage compartments, water flows, and human water use sectors included in 16 global water models that provide simulations for the Inter-Sectoral Impact Model Intercomparison Project phase 2b. We develop a standard writing style for the model equations. We conclude that even though hydrologic processes are often based on similar equations, in the end these equations have been adjusted, or the models have used different values for specific parameters or specific variables.
Anna B. Harper, Karina E. Williams, Patrick C. McGuire, Maria Carolina Duran Rojas, Debbie Hemming, Anne Verhoef, Chris Huntingford, Lucy Rowland, Toby Marthews, Cleiton Breder Eller, Camilla Mathison, Rodolfo L. B. Nobrega, Nicola Gedney, Pier Luigi Vidale, Fred Otu-Larbi, Divya Pandey, Sebastien Garrigues, Azin Wright, Darren Slevin, Martin G. De Kauwe, Eleanor Blyth, Jonas Ardö, Andrew Black, Damien Bonal, Nina Buchmann, Benoit Burban, Kathrin Fuchs, Agnès de Grandcourt, Ivan Mammarella, Lutz Merbold, Leonardo Montagnani, Yann Nouvellon, Natalia Restrepo-Coupe, and Georg Wohlfahrt
Geosci. Model Dev., 14, 3269–3294, https://doi.org/10.5194/gmd-14-3269-2021, https://doi.org/10.5194/gmd-14-3269-2021, 2021
Short summary
Short summary
We evaluated 10 representations of soil moisture stress in the JULES land surface model against site observations of GPP and latent heat flux. Increasing the soil depth and plant access to deep soil moisture improved many aspects of the simulations, and we recommend these settings in future work using JULES. In addition, using soil matric potential presents the opportunity to include parameters specific to plant functional type to further improve modeled fluxes.
Cited articles
Augusiak, J., Van den Brink, P. J., and Grimm, V.: Merging validation and
evaluation of ecological models to “evaludation”: A review of terminology
and a practical approach, Ecol. Modell., 280, 117–128,
https://doi.org/10.1016/j.ecolmodel.2013.11.009, 2014.
Ayala, A. I., Moras, S., and Pierson, D. C.: Simulations of future changes in thermal structure of Lake Erken: proof of concept for ISIMIP2b lake sector local simulation strategy, Hydrol. Earth Syst. Sci., 24, 3311–3330, https://doi.org/10.5194/hess-24-3311-2020, 2020.
Balsamo, G., Salgado, R., Dutra, E., Boussetta, S., Stockdale, T., and
Potes, M.: On the contribution of lakes in predicting near-surface
temperature in a global weather forecasting model, Tellus A, 64, 15829,
https://doi.org/10.3402/tellusa.v64i0.15829, 2012.
Beusen, A. H. W., Van Beek, L. P. H., Bouwman, A. F., Mogollón, J. M., and Middelburg, J. J.: Coupling global models for hydrology and nutrient loading to simulate nitrogen and phosphorus retention in surface water – description of IMAGE–GNM and analysis of performance, Geosci. Model Dev., 8, 4045–4067, https://doi.org/10.5194/gmd-8-4045-2015, 2015.
Bowling, L. C. and Lettenmaier, D. P.: Modeling the effects of lakes and
wetlands on the water balance of arctic environments, J. Hydrometeorol., 11,
276–295, https://doi.org/10.1175/2009JHM1084.1, 2010.
Bruce, L. C., Frassl, M. A., Arhonditsis, G. B., Gal, G., Hamilton, D. P.,
Hanson, P. C., Hetherington, A. L., Melack, J. M., Read, J. S., Rinke, K.,
Rigosi, A., Trolle, D., Winslow, L., Adrian, R., Ayala, A. I., Bocaniov, S.
A., Boehrer, B., Boon, C., Brookes, J. D., Bueche, T., Busch, B. D.,
Copetti, D., Cortés, A., de Eyto, E., Elliott, J. A., Gallina, N.,
Gilboa, Y., Guyennon, N., Huang, L., Kerimoglu, O., Lenters, J. D.,
MacIntyre, S., Makler-Pick, V., McBride, C. G., Moreira, S., Özkundakci,
D., Pilotti, M., Rueda, F. J., Rusak, J. A., Samal, N. R., Schmid, M.,
Shatwell, T., Snorthheim, C., Soulignac, F., Valerio, G., van der Linden,
L., Vetter, M., Vinçon-Leite, B., Wang, J., Weber, M., Wickramaratne,
C., Woolway, R. I., Yao, H., and Hipsey, M. R.: A multi-lake comparative
analysis of the General Lake Model (GLM): Stress-testing across a global
observatory network, Environ. Model. Softw., 102, 274–291,
https://doi.org/10.1016/j.envsoft.2017.11.016, 2018.
Bruggeman, J. and Bolding, K.: A general framework for aquatic
biogeochemical models, Environ. Model. Softw., 61, 249–265,
https://doi.org/10.1016/j.envsoft.2014.04.002, 2014.
Burchard, H., Bolding, K., and Villarreal, M. R.: GOTM, a general ocean turbulence model: theory, implementation and test cases, Space Applications Institute, Volume 18745 of EUR/European Commission, 103, https://books.google.be/books/about/GOTM_a_General_Ocean_Turbulence_Model.html?id=zsJUHAAACAAJ&redir_esc=y (last access: 23 May 2022), 1999.
Burchard, H., Bolding, K., Kühn, W., Meister, A., Neumann, T., and Umlauf, L.: Description of a flexible and extendable physical-biogeochemical model system for the water column, J. Marine Syst., 61, 180–211, 2006.
Butcher, J. B., Nover, D., Johnson, T. E., and Clark, C. M.: Sensitivity of
lake thermal and mixing dynamics to climate change, Climatic Change, 129, 295–305,
https://doi.org/10.1007/s10584-015-1326-1, 2015.
Choulga, M., Kourzeneva, E., Zakharova, E., and Doganovsky, A.: Estimation
of the mean depth of boreal lakes for use in numerical weather prediction
and climate modelling, Tellus A, 66, 21295, https://doi.org/10.3402/tellusa.v66.21295, 2014.
Cramer, W., Yohe, G. W., Auffhammer, M., Huggel, C., Molau, U., Da Silva
Dias, M. A. F., Solow, A., Stone, D. A., and Tibig, L.: Detection and
attribution of observed impacts, in: Climate Change 2014: Impacts,
Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects.
Contribution of Working Group II to the Fifth Assessment Report of the
Intergovernmental Panel on Climate, 979–1038,
https://doi.org/10.1017/CBO9781107415379.023, 2014.
Cucchi, M., Weedon, G. P., Amici, A., Bellouin, N., Lange, S., Müller Schmied, H., Hersbach, H., and Buontempo, C.: WFDE5: bias-adjusted ERA5 reanalysis data for impact studies, Earth Syst. Sci. Data, 12, 2097–2120, https://doi.org/10.5194/essd-12-2097-2020, 2020.
Dirmeyer, P. A., Gao, X., Zhao, M., Guo, Z., Oki, T., and Hanasaki, N.:
GSWP-2: Multimodel analysis and implications for our perception of the land
surface, B. Am. Meteorol. Soc., 87, 1381–1397,
https://doi.org/10.1175/BAMS-87-10-1381, 2006.
Dörnhöfer, K. and Oppelt, N.: Remote sensing for lake research and
monitoring – Recent advances, Ecol. Indic., 64, 105–122,
https://doi.org/10.1016/j.ecolind.2015.12.009, 2016.
Fairall, C. W., Bradley, E. F., Rogers, D. P., Edson, J. B., and Young, G. S.: Bulk parameterization of air‐sea fluxes for tropical ocean‐global atmosphere coupled‐ocean atmosphere response experiment, J. Geophys. Res.-Oceans, 101, 3747–3764, 1996.
Fang, C., Song, K., Paerl, H. W., Jacinthe, P.-A., Wen, Z., Liu, G., Tao,
H., Xu, X., Kutser, T., Wang, Z., Duan, H., Shi, K., Shang, Y., Lyu, L., Li,
S., Yang, Q., Lyu, D., Mao, D., Zhang, B., Cheng, S., and Lyu, Y.: Global
divergent trends of algal blooms detected by satellite during 1982–2018,
Glob. Chang. Biol., 28, 2327–2340,
https://doi.org/10.1111/gcb.16077, 2022.
Frieler, K., Lange, S., Piontek, F., Reyer, C. P. O., Schewe, J., Warszawski, L., Zhao, F., Chini, L., Denvil, S., Emanuel, K., Geiger, T., Halladay, K., Hurtt, G., Mengel, M., Murakami, D., Ostberg, S., Popp, A., Riva, R., Stevanovic, M., Suzuki, T., Volkholz, J., Burke, E., Ciais, P., Ebi, K., Eddy, T. D., Elliott, J., Galbraith, E., Gosling, S. N., Hattermann, F., Hickler, T., Hinkel, J., Hof, C., Huber, V., Jägermeyr, J., Krysanova, V., Marcé, R., Müller Schmied, H., Mouratiadou, I., Pierson, D., Tittensor, D. P., Vautard, R., van Vliet, M., Biber, M. F., Betts, R. A., Bodirsky, B. L., Deryng, D., Frolking, S., Jones, C. D., Lotze, H. K., Lotze-Campen, H., Sahajpal, R., Thonicke, K., Tian, H., and Yamagata, Y.: Assessing the impacts of 1.5 ∘C global warming – simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), Geosci. Model Dev., 10, 4321–4345, https://doi.org/10.5194/gmd-10-4321-2017, 2017.
Gädeke, A., Langer, M., Boike, J., Burke, E. J., Chang, J., Head, M.,
Reyer, C. P. O., Schaphoff, S., Thiery, W., and Thonicke, K.: Climate change
reduces winter overland travel across the Pan-Arctic even under low-end
global warming scenarios, Environ. Res. Lett., 16, 24049, https://doi.org/10.1088/1748-9326/abdcf2, 2021.
Gal, G., Yael, G., Noam, S., Moshe, E., and Schlabing, D.: Ensemble modeling
of the impact of climate warming and increased frequency of extreme climatic
events on the thermal characteristics of a sub-tropical lake, Water, 12,
1982, https://doi.org/10.3390/w12071982, 2020.
Gaudard, A., Råman Vinnå, L., Bärenbold, F., Schmid, M., and Bouffard, D.: Toward an open access to high-frequency lake modeling and statistics data for scientists and practitioners – the case of Swiss lakes using Simstrat v2.1, Geosci. Model Dev., 12, 3955–3974, https://doi.org/10.5194/gmd-12-3955-2019, 2019.
Goudsmit, G.-H., Burchard, H., Peeters, F., and Wüest, A.: Application
of k-ϵ turbulence models to enclosed basins: The role of internal
seiches, J. Geophys. Res.-Oceans, 107, 3230, https://doi.org/10.1029/2001JC000954, 2002.
Grant, L., Vanderkelen, I., Gudmundsson, L., Tan, Z., Perroud, M.,
Stepanenko, V. M., Debolskiy, A. V., Droppers, B., Janssen, A. B. G.,
Woolway, R. I., Choulga, M., Balsamo, G., Kirillin, G., Schewe, J., Zhao,
F., del Valle, I. V., Golub, M., Pierson, D., Marcé, R., Seneviratne, S.
I., and Thiery, W.: Attribution of global lake systems change to
anthropogenic forcing, Nat. Geosci., 14, 849–854,
https://doi.org/10.1038/s41561-021-00833-x, 2021.
Gudmundsson, L., Boulange, J., Do, H. X., Gosling, S. N., Grillakis, M. G.,
Koutroulis, A. G., Leonard, M., Liu, J., Müller Schmied, H.,
Papadimitriou, L., Pokhrel, Y., Seneviratne, S. I., Satoh, Y., Thiery, W., Westra, S., Zhang, X., and Zhao, F.: Globally observed trends in mean and extreme
river flow attributed to climate change, Science, 371, 1159–1162, https://doi.org/10.1126/science.aba3996, 2021.
Guo, M., Zhuang, Q., Tan, Z., Shurpali, N., Juutinen, S., Kortelainen, P.,
and Martikainen, P. J.: Rising methane emissions from boreal lakes due to
increasing ice-free days, Environ. Res. Lett., 15, 64008, https://doi.org/10.1088/1748-9326/ab8254, 2020.
Guo, M., Zhuang, Q., Yao, H., Golub, M., Leung, L. R., Pierson, D., and Tan,
Z.: Validation and Sensitivity Analysis of a 1-D Lake Model Across Global
Lakes, J. Geophys. Res.-Atmos., 126, e2020JD033417, https://doi.org/10.1029/2020JD033417, 2021.
Guseva, S., Bleninger, T., Jöhnk, K., Polli, B. A., Tan, Z., Thiery, W., Zhuang, Q., Rusak, J. A., Yao, H., Lorke, A., and Stepanenko, V.: Multimodel simulation of vertical gas transfer in a temperate lake, Hydrol. Earth Syst. Sci., 24, 697–715, https://doi.org/10.5194/hess-24-697-2020, 2020.
Håkanson, L.: Models to predict Secchi depth in small glacial lakes,
Aquat. Sci., 57, 31–53, https://doi.org/10.1007/BF00878025, 1995.
Hansen, G. J. A., Read, J. S., Hansen, J. F., and Winslow, L. A.: Projected
shifts in fish species dominance in Wisconsin lakes under climate change,
Glob. Change Biol., 23, 1463–1476, https://doi.org/10.1111/gcb.13462, 2017.
Hanson, Z. J., Zwart, J. A., Jones, S. E., Hamlet, A. F., and Bolster, D.:
Projected changes of regional lake hydrologic characteristics in response to
21st century climate change, Inl. Waters, 11, 335–350,
https://doi.org/10.1080/20442041.2021.1924538, 2021.
Heiskanen, J. J., Mammarella, I., Ojala, A., Stepanenko, V. M., Erkkilä,
K., Miettinen, H., Eugster, W., Lepparanta, M., Jarvinen, H., Vesala, T.,
and Nordbo, A.: Effect of water clarity on lake stratification and
lake-atmosphere heat exchange, J. Geophys. Res.-Atmos., 120, 7412–7428,
https://doi.org/10.1002/2014JD022938, 2015.
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., and Piontek, F.: A trend-preserving bias correction – the ISI-MIP approach, Earth Syst. Dynam., 4, 219–236, https://doi.org/10.5194/esd-4-219-2013, 2013.
Henderson-Sellers, B.: New formulation of eddy diffusion thermocline models,
Appl. Math. Model., 9, 441–446,
https://doi.org/10.1016/0307-904X(85)90110-6, 1985.
Hipsey, M. R., Bruce, L. C., Boon, C., Busch, B., Carey, C. C., Hamilton, D. P., Hanson, P. C., Read, J. S., de Sousa, E., Weber, M., and Winslow, L. A.: A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON), Geosci. Model Dev., 12, 473–523, https://doi.org/10.5194/gmd-12-473-2019, 2019.
Hostetler, S. W.: Simulation of lake ice and its effect on the
late-Pleistocene evaporation rate of Lake Lahontan, Clim. Dynam., 6, 43–48, https://doi.org/10.1007/BF00210581,
1991.
Hostetler, S. W. and Bartlein, P. J.: Simulation of lake evaporation with
application to modeling lake level variations of Harney-Malheur Lake,
Oregon, Water Resour. Res., 26, 2603–2612, https://doi.org/10.1029/WR026i010p02603, 1990.
Hou, X., Feng, L., Dai, Y., Hu, C., Gibson, L., Tang, J., Lee, Z., Wang, Y.,
Cai, X., Liu, J., Zheng, Y., and Zheng, C.: Global mapping reveals increase
in lacustrine algal blooms over the past decade, Nat. Geosci., 15, 130–134,
https://doi.org/10.1038/s41561-021-00887-x, 2022.
Hunt, R. J., Walker, J. F., Selbig, W. R., Westenbroek, S. M., and Regan, R.
S.: Simulation of climate-change effects on streamflow, lake water budgets,
and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed,
Wisconsin, U.S. Geological Survey Scientific Investigations Report,
2013–5139, Reston, VA, 128 pp., https://doi.org/10.3133/sir20135159, 2013.
Imberger, J. and Patterson, J. C.: Dynamic Reservoir Simulation Model-DYRESM: 5, edited by: Fischer, H. B., 310–361, http://www.arlis.org/docs/vol2/hydropower/APA_DOC_no._534.pdf (last access: 23 May 2022), 1981.
The Inter-Sectoral Impact Model Intercomparison Project: Impact Model Settings & Characteristics, ISIMIP [code], https://www.isimip.org/impactmodels, last access: 23 May 2022.
IPCC: Summary for Policymakers, in: Global warming of 1.5 ∘C. An IPCC Special Report on the impacts of global warming of 1.5 ∘C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, edited by: Masson-Delmotte, V., Zhai, P., Pörtner, H. O., Roberts, D., Skea, J., Shukla, P. R.,
Pirani, A., Moufouma-Okia, W., Péan, C., Pidcock, R., Connors, S., Matthews, J. B. R., Chen, Y., Zhou, X., Gomis, M. I., Lonnoy, E., Maycock, T., Tignor, M., and Waterfield, T., World Meteorological Organization, Geneva, Switzerland, 32 pp., 2018.
Ito, A., Reyer, C. P. O., Gädeke, A., Ciais, P., Chang, J., Chen, M.,
François, L., Forrest, M., Hickler, T., Ostberg, S., Hao, S., Thiery, W., and Tian, H.:
Pronounced and unavoidable impacts of low-end global warming on northern
high-latitude land ecosystems, Environ. Res. Lett., 15, 44006, https://doi.org/10.1088/1748-9326/ab702b, 2020.
Jane, S. F., Hansen, G. J. A., Kraemer, B. M., Leavitt, P. R., Mincer, J.
L., North, R. L., Pilla, R. M., Stetler, J. T., Williamson, C. E., Woolway,
R. I., Arvola, L., Chandra, S., DeGasperi, C., Diemer, L., Dunalska, J., Erina, O., Flaim, G., Grossart, H.-P., Hambright, K. D., Hein, C., Hejzlar, J., Janus, L., Jenny, J.-P., Jones, J., Knoll, L. B., Leoni, B., MacKay, E., Matsuzaki, S.-I., McBride, C., Müller-Navarra, D. C., Paterson, A. M., Pierson, D., Rogora, M., Rusak, J., Sadro, S., Saulnier-Talbot, E., Schmid, M., Sommaruga, R., Thiery, W., Weyhenmeyer, G., Yokota, K., and Rose, K. C.: Widespread deoxygenation of temperate lakes, Nature, 594,
66–70, 2021.
Janssen, A. B. G., Arhonditsis, G. B., Beusen, A., Bolding, K.,
Bruce, L., Bruggeman, J., Couture, R.-M., Downing, A., Elliott, J. A., Frassl,
M. A., Gal, G., Gerla, D. J., Hipsey, M. R., Hu, F., Ives, S.
C., Janse, J. H., Jeppesen, E., Jöhnk, K. D., Kneis, D., Kong, X.,
Kuiper, J. J., Lehmann, M. K., Lemmen, C., Özkundakci, D., Petzoldt, T., Rinke, K., Robson, B., Sachse, R.,
Schep, S. A., Schmid, M., Scholten, H.,
Teurlincx, S., Trolle, D., Troost T. A., Van Dam, A. A., Van Gerven, P. A., Weijerman, M., Wells, S. A., and Mooij, W. M.: Exploring,
exploiting and evolving diversity of aquatic ecosystem models: a community
perspective, Aquat. Ecol., 49, 513–548,
https://doi.org/10.1007/s10452-015-9544-1, 2015.
Janssen, A. B. G., Janse, J. H., Beusen, A. H. W., Chang, M., Harrison, J.
A., Huttunen, I., Kong, X., Rost, J., Teurlincx, S., Troost, T. A., van
Wijk, D., and Mooij, W. M.: How to model algal blooms in any lake on earth,
Curr. Opin. Environ. Sustain., 36, 1–10,
https://doi.org/10.1016/j.cosust.2018.09.001, 2019.
Janssen, A. B. G., Hilt, S., Kosten, S., de Klein, J. J. M., Paerl, H. W.,
and Van de Waal, D. B.: Shifting states, shifting services: Linking regime
shifts to changes in ecosystem services of shallow lakes, Freshw. Biol., 66,
1–12, https://doi.org/10.1111/fwb.13582, 2021.
Khazaei, B., Read, L. K., Casali, M., Sampson, K. M., and Yates, D. N.:
GLOBathy, the global lakes bathymetry dataset, Sci. Data, 9, 36,
https://doi.org/10.1038/s41597-022-01132-9, 2022.
Kilic, L., Prigent, C., Aires, F., Boutin, J., Heygster, G., Tonboe, R. T.,
Roquet, H., Jimenez, C., and Donlon, C.: Expected Performances of the
Copernicus Imaging Microwave Radiometer (CIMR) for an All-Weather and High
Spatial Resolution Estimation of Ocean and Sea Ice Parameters, J. Geophys.
Res.-Oceans, 123, 7564–7580,
https://doi.org/10.1029/2018JC014408, 2018.
Kiuru, P., Ojala, A., Mammarella, I., Heiskanen, J., Erkkilä, K.-M., Miettinen, H., Vesala, T., and Huttula, T.: Applicability and consequences of the integration of alternative models for CO2 transfer velocity into a process-based lake model, Biogeosciences, 16, 3297–3317, https://doi.org/10.5194/bg-16-3297-2019, 2019.
Kobler, U. G. and Schmid, M.: Ensemble modelling of ice cover for a reservoir affected by pumped-storage operation and climate change, Hydrol. Process., 33, 2676–2690, https://doi.org/10.1002/hyp.13519, 2019.
Kraemer, B. M., Anneville, O., Chandra, S., Dix, M., Kuusisto, E.,
Livingstone, D. M., Rimmer, A., Schladow, G., Silow, E., Sitoki, L. M.,
Tamatamah, R., Vadeboncoeur, Y., and McIntyre, P. B.: Morphometry and
average temperature affect lake stratification responses to climate change,
Geophys. Res. Lett., 42, 4981–4988,
https://doi.org/10.1002/2015GL064097, 2015.
Kraemer, B. M., Pilla, R. M., Woolway, R. I., Anneville, O., Ban, S.,
Colom-Montero, W., Devlin, S. P., Dokulil, M. T., Gaiser, E. E., Hambright,
K. D., Hessen, D. O., Higgins, S. N., Jöhnk, K. D., Keller, W., Knoll, L. B., Leavitt, P. R., Lepori, F., Luger, M. S., Maberly, S. C., Müller-Navarra, D. C., Paterson, A. M., Pierson,, D. C., Richardson, D. C., Rogora, M., Rusak, J. A., Sadro, S., Salmaso, N., Schmid, M., Silow, E. A., Sommaruga, R., Stelzer, J. A. A., Straile, D., Thiery, W., Verburg P., Weyhenmeyer, G. A., and Adrian, R.: Climate change drives widespread shifts in lake thermal
habitat, Nat. Clim. Change, 11, 521–529, 2021.
Lange, S.: EartH2Observe, WFDEI and ERA-Interim data Merged and
Bias-corrected for ISIMIP (EWEMBI), V.1.1, GFZ Data Serv. [data set],
https://doi.org/10.5880/pik.2019.004, 2019a.
Lange, S.: Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0), Geosci. Model Dev., 12, 3055–3070, https://doi.org/10.5194/gmd-12-3055-2019, 2019b.
Lange, S.: ISIMIP3 bias adjustment fact sheet,
https://www.isimip.org/documents/413/ISIMIP3b_bias_adjustment_fact_sheet_Gnsz7CO.pdf (last access: 23 May 2022), 2021.
Lange, S., Volkholz, J., Geiger, T., Zhao, F., Vega, I., Veldkamp, T.,
Reyer, C. P. O., Warszawski, L., Huber, V., Jägermeyr, J., Schewe, J.,
Bresch, D. N., Büchner, M., Chang, J., Ciais, P., Dury, M., Emanuel, K.,
Folberth, C., Gerten, D., Gosling, S. N., Grillakis, M., Hanasaki, N.,
Henrot, A. J., Hickler, T., Honda, Y., Ito, A., Khabarov, N., Koutroulis,
A., Liu, W., Müller, C., Nishina, K., Ostberg, S., Müller Schmied,
H., Seneviratne, S. I., Stacke, T., Steinkamp, J., Thiery, W., Wada, Y.,
Willner, S., Yang, H., Yoshikawa, M., Yue, C., and Frieler, K.: Projecting
Exposure to Extreme Climate Impact Events Across Six Event Categories and
Three Spatial Scales, Earth's Future, 8, e2020EF001616,
https://doi.org/10.1029/2020EF001616, 2020.
Larssen, T., Høgåsen, T., and Cosby, B. J.: Impact of time series
data on calibration and prediction uncertainty for a deterministic
hydrogeochemical model, Ecol. Modell., 207, 22–33,
https://doi.org/10.1016/j.ecolmodel.2007.03.016, 2007.
Lawrence, D. M., Oleson, K. W., Flanner, M. G., Thornton, P. E., Swenson, S.
C., Lawrence, P. J., Zeng, X., Yang, Z.-L., Levis, S., Sakaguchi, K., Bonan, G. B., and Slater, A. G.: Parameterization improvements and functional and structural advances
in version 4 of the Community Land Model, J. Adv. Model. Earth Syst., 3, M03001, https://doi.org/10.1029/2011MS00045,
2011.
Lehner, B. and Döll, P.: Development and validation of a global database
of lakes, reservoirs and wetlands, J. Hydrol., 296, 1–22, https://doi.org/10.1016/j.jhydrol.2004.03.028, 2004.
Lehner, B. and Messager, M.: HydroLAKES, Technical Documentation Version 1.0, 16 pp., https://www.hydrosheds.org/products/hydrolakes (last access: 23 May 2022), 2016.
Magee, M. R., Wu, C. H., Robertson, D. M., Lathrop, R. C., and Hamilton, D. P.: Trends and abrupt changes in 104 years of ice cover and water temperature in a dimictic lake in response to air temperature, wind speed, and water clarity drivers, Hydrol. Earth Syst. Sci., 20, 1681–1702, https://doi.org/10.5194/hess-20-1681-2016, 2016.
Marcé, R., George, G., Buscarinu, P., Deidda, M., Dunalska, J., de Eyto,
E., Flaim, G., Grossart, H.-P., Istvanovics, V., Lenhardt, M., Moreno-Ostos, E., Obrador, B., Ostrovsky, I., Pierson, D. C., Potužák, J., Poikane, S., Rinke, K., Rodríguez-Mozaz, S., Staehr, P. A., Šumberová, K., Waajen, G., Weyhenmeyer, G. A., Weathers, K. C., Zion, M., Ibelings, B. W., and Jennings, E.:
Automatic high frequency monitoring for improved lake and reservoir
management, Environ. Sci. & Technol., 50, 10780–10794, 2016.
Marcé, R., Pierson, D., Mercado-Bettin, D., Thiery, W., Tan, Z., and Schewe, J.: ISIMIP2a Simulation Data from the Global Lakes Sector (v1.0), ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.530719, 2022a.
Marcé, R., Pierson, D., Mercado-Bettin, D., Thiery, W., Tan, Z., Seneviratne, S., Golub, M., Debolskiy, A., Stepanenko, V., Perroud, M., Droppers, B., and Schewe, J.:
ISIMIP2b Simulation Data from the Global Lakes Sector (v1.0), ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.931371, 2022b.
Marcé, R., Pierson, D., Mercado-Bettin, D., Thiery, W., Piccolroaz, S., Woodward, B., Woolway, R. I., Tan, Z., Kirillin, G., Shatwell, T., Couture, R.-M., Côté, M., Bouffard, D., Råman Vinnå, C. L. M., Schmid, M., and Schewe, J.: ISIMIP2b Simulation Data from the Local Lakes Sector (v1.0), ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.563533, 2022c.
Marcé, R., Mercado, D., Vanderkelen, I., Tigli, M., Janssen, A. B. G., Kraemer, B., Piccolroaz, S., Thiery, W., Woolway, R. I., Yaghouti, M., and Pierson, D.: Inputs for lake morphology in ISIMIP3 runs of the global lake sector [Data set]. In Geoscientific Model Development (ISIMIP3_LS_v2022), Zenodo [data set], https://doi.org/10.5281/zenodo.6457813, 2022d.
Markelov, I., Couture, R. M., Fischer, R., Haande, S., and Van Cappellen,
P.: Coupling Water Column and Sediment Biogeochemical Dynamics: Modeling
Internal Phosphorus Loading, Climate Change Responses, and Mitigation
Measures in Lake Vansjø, Norway, J. Geophys. Res.-Biogeo., 124,
3847–3866, https://doi.org/10.1029/2019JG005254, 2019.
Mengel, M., Treu, S., Lange, S., and Frieler, K.: ATTRICI v1.1 – counterfactual climate for impact attribution, Geosci. Model Dev., 14, 5269–5284, https://doi.org/10.5194/gmd-14-5269-2021, 2021.
Mesman, J. P., Ayala, A. I., Adrian, R., De Eyto, E., Frassl, M. A.,
Goyette, S., Kasparian, J., Perroud, M., Stelzer, J. A. A., Pierson, D. C.,
and Ibelings, B. W.: Performance of one-dimensional hydrodynamic lake models during
short-term extreme weather events, Environ. Model. & Softw., 133, 104852, https://doi.org/10.1016/j.envsoft.2020.104852,
2020.
Messager, M. L., Lehner, B., Grill, G., Nedeva, I., and Schmitt, O.:
Estimating the volume and age of water stored in global lakes using a
geo-statistical approach, Nat. Commun., 7, 13603, https://doi.org/10.1038/ncomms13603, 2016.
Mironov, D. V: Parameterization of lakes in numerical weather prediction.
Part 1: Description of a lake model, COSMO Technical Report 11, 47 pp., https://cosmo-model.org/content/model/documentation/techReports/cosmo/docs/techReport11.pdf (last access: 23 May 2022),
2008.
Moe, S. J., Haande, S., and Couture, R. M.: Climate change, cyanobacteria
blooms and ecological status of lakes: A Bayesian network approach, Ecol.
Modell., 337, 330–347, https://doi.org/10.1016/j.ecolmodel.2016.07.004,
2016.
Moras, S., Ayala, A. I., and Pierson, D. C.: Historical modelling of changes in Lake Erken thermal conditions, Hydrol. Earth Syst. Sci., 23, 5001–5016, https://doi.org/10.5194/hess-23-5001-2019, 2019.
Murfitt, J. and Duguay, C. R.: 50 years of lake ice research from active
microwave remote sensing: Progress and prospects, Remote Sens. Environ.,
264, 112616, https://doi.org/10.1016/j.rse.2021.112616,
2021.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M.,
Charles, D., Levis, S., Li, F., Riley, W. J., Zachary, M., Swenson, S. C.,
Thornton, P. E., Bozbiyik, A., Fisher, R., Heald, C. L., Kluzek, E.,
Lamarque, F., Lawrence, P. J., Leung, L. R., Muszala, S., Ricciuto, D. M.,
and Sacks, W.: Technical description of version 4.5 of the Community Land
Model (CLM), NCAR Technical Note, 420 pp., https://opensky.ucar.edu/islandora/object/technotes:515/ (last access: 23 May 2022), 2013.
O'Reilly, C. M., Sharma, S., Gray, D. K., et al.: Rapid and highly variable warming of lake surface waters
around the globe, Geophys. Res. Lett., 42, 10–773, https://doi.org/10.1002/2015GL066235, 2015.
Patterson, J. C. and Hamblin, P. F.: Thermal simulation of a lake with
winter ice cover, Limnol. Oceanogr., 33, 323–338,
https://doi.org/10.4319/lo.1988.33.3.0323, 1988.
Perroud, M., Goyette, S., Martynov, A., Beniston, M., and Anneville, O.:
Simulation of multiannual thermal profiles in deep Lake Geneva: A comparison
of one-dimensional lake models, Limnol. Oceanogr., 54, 1574–1594, https://doi.org/10.4319/lo.2009.54.5.1574, 2009.
Piccolroaz, S.: Prediction of lake surface temperature using the air2water
model: guidelines, challenges, and future perspectives, Adv. Oceanogr.
Limnol., 7, https://doi.org/10.4081/aiol.2016.5791, 2016.
Piccolroaz, S., Toffolon, M., and Majone, B.: A simple lumped model to convert air temperature into surface water temperature in lakes, Hydrol. Earth Syst. Sci., 17, 3323–3338, https://doi.org/10.5194/hess-17-3323-2013, 2013.
Piccolroaz, S., Healey, N. C., Lenters, J. D., Schladow, S. G., Hook, S. J.,
Sahoo, G. B., and Toffolon, M.: On the predictability of lake surface
temperature using air temperature in a changing climate: A case study for
Lake Tahoe (U.S.A.), Limnol. Oceanogr., 63, 243–261,
https://doi.org/10.1002/lno.10626, 2018.
Piccolroaz, S., Woolway, R. I., and Merchant, C. J.: Global reconstruction
of twentieth century lake surface water temperature reveals different
warming trends depending on the climatic zone, Climatic Change, 160, 427–442, https://doi.org/10.1007/s10584-020-02663-z,
2020.
Pilla, R. M. and Couture, R. M.: Attenuation of photosynthetically active
radiation and ultraviolet radiation in response to changing dissolved
organic carbon in browning lakes: Modeling and parametrization, Limnol.
Oceanogr., 66, 2278–2289, https://doi.org/10.1002/lno.11753, 2021.
Pilla, R. M., Williamson, C. E., Adamovich, B. V, et al.: Deeper waters are changing less consistently than surface waters
in a global analysis of 102 lakes, Sci. Rep., 10, 20514, https://doi.org/10.1038/s41598-020-76873-x, 2020.
Pilla, R. M., Mette, E. M., Williamson, C. E., et al.: Global data set of long-term summertime vertical temperature
profiles in 153 lakes, Sci. Data, 8, 200, https://doi.org/10.1038/s41597-021-00983-y, 2021.
Pokhrel, Y., Felfelani, F., Satoh, Y., Boulange, J., Burek, P., Gädeke,
A., Gerten, D., Gosling, S. N., Grillakis, M., Gudmundsson, L., Hanasaki, N., Kim, H., Koutroulis, A., Liu, J., Papadimitriou, L., Schewe, J., Müller Schmied, H., Stacke, T., Telteu, C. E., Thiery, W., Veldkamp, T., Zhao, F., and Wada, Y.:
Global terrestrial water storage and drought severity under climate change,
Nat. Clim. Change, 11, 226–233, 2021.
Poole, H. H. and Atkins, W. R. G.: Photo-electric measurements of submarine
illumination throughout the year, J. Mar. Biol. Assoc. UK, 16,
297–324, https://doi.org/10.1017/S0025315400029829, 1929.
Potes, M., Costa, M. J., and Salgado, R.: Satellite remote sensing of water turbidity in Alqueva reservoir and implications on lake modelling, Hydrol. Earth Syst. Sci., 16, 1623–1633, https://doi.org/10.5194/hess-16-1623-2012, 2012.
Prats, J. and Danis, P.-A.: An epilimnion and hypolimnion temperature model
based on air temperature and lake characteristics, Knowl. Manag. Aquat.
Ec., 8, 420, https://doi.org/10.1051/kmae/2019001, 2019.
Rand, J. M., Nanko, M. O., Lykkegaard, M. B., Wain, D., King, W., Bryant, L.
D., and Hunter, A.: The human factor: Weather bias in manual lake water
quality monitoring, Limnol. Oceanogr. Methods, 20, 288–303,
https://doi.org/10.1002/lom3.10488, 2022.
Reid, A. J., Carlson, A. K., Creed, I. F., Eliason, E. J., Gell, P. A.,
Johnson, P. T. J., Kidd, K. A., MacCormack, T. J., Olden, J. D., Ormerod, S.
J., Smol, J. P., Taylor, W. W., Tockner, K., Vermaire, J. C., Dudgeon, D.,
and Cooke, S. J.: Emerging threats and persistent conservation challenges
for freshwater biodiversity, Biol. Rev., 94, 849–873,
https://doi.org/10.1111/brv.12480, 2019.
Reinecke, R., Müller Schmied, H., Trautmann, T., Andersen, L. S., Burek, P., Flörke, M., Gosling, S. N., Grillakis, M., Hanasaki, N., Koutroulis, A., Pokhrel, Y., Thiery, W., Wada, Y., Yusuke, S., and Döll, P.: Uncertainty of simulated groundwater recharge at different global warming levels: a global-scale multi-model ensemble study, Hydrol. Earth Syst. Sci., 25, 787–810, https://doi.org/10.5194/hess-25-787-2021, 2021.
Rimet, F., Anneville, O., Barbet, D., Chardon, C., Crépin, L., Domaizon,
I., Dorioz, J. M., Espinat, L., Frossard, V., Guillard, J., Goulon, C.,
Hamelet, V., Hustache, J. C., Jacquet, S., Lainé, L., Montuelle, B.,
Perney, P., Quetin, P., Rasconi, S., Schellenberger, A., Tran-Khac, V., and
Monet, G.: The Observatory on LAkes (OLA) database: Sixty years of
environmental data accessible to the public, J. Limnol., 79, 164–178,
https://doi.org/10.4081/jlimnol.2020.1944, 2020.
Sachse, R., Petzoldt, T., Blumstock, M., Moreira, S., Pätzig, M.,
Rücker, J., Janse, J. H., Mooij, W. M., and Hilt, S.: Extending
one-dimensional models for deep lakes to simulate the impact of submerged
macrophytes on water quality, Environ. Model. Softw., 61, 410–423,
https://doi.org/10.1016/j.envsoft.2014.05.023, 2014.
Saloranta, T. M. and Andersen, T.: MyLake-A multi-year lake simulation model
code suitable for uncertainty and sensitivity analysis simulations, Ecol.
Modell., 207, 45–60, https://doi.org/10.1016/j.ecolmodel.2007.03.018, 2007.
Schewe, J., Gosling, S. N., Reyer, C., Zhao, F., Ciais, P., Elliott, J.,
Francois, L., Huber, V., Lotze, H. K., Seneviratne, S. I., van Vliet, M. T.
H., Vautard, R., Wada, Y., Breuer, L., Büchner, M., Carozza, D. A.,
Chang, J., Coll, M., Deryng, D., de Wit, A., Eddy, T. D., Folberth, C.,
Frieler, K., Friend, A. D., Gerten, D., Gudmundsson, L., Hanasaki, N., Ito,
A., Khabarov, N., Kim, H., Lawrence, P., Morfopoulos, C., Müller, C.,
Müller Schmied, H., Orth, R., Ostberg, S., Pokhrel, Y., Pugh, T. A. M.,
Sakurai, G., Satoh, Y., Schmid, E., Stacke, T., Steenbeek, J., Steinkamp,
J., Tang, Q., Tian, H., Tittensor, D. P., Volkholz, J., Wang, X., and
Warszawski, L.: State-of-the-art global models underestimate impacts from
climate extremes, Nat. Commun., 10, 1005,
https://doi.org/10.1038/s41467-019-08745-6, 2019.
Schleussner, C. F., Deryng, D., Müller, C., Elliott, J., Saeed, F.,
Folberth, C., Liu, W., Wang, X., Pugh, T. A. M., Thiery, W., Seneviratne, S.
I., and Rogelj, J.: Crop productivity changes in 1.5 ∘C and 2 ∘C worlds under climate sensitivity uncertainty, Environ. Res.
Lett., 13, 064007, https://doi.org/10.1088/1748-9326/aab63b, 2018.
Schwefel, R., Gaudard, A., Wüest, A., and Bouffard, D.: Effects of
climate change on deepwater oxygen and winter mixing in a deep lake (Lake
Geneva): Comparing observational findings and modeling, Water Resour. Res.,
52, 8811–8826, https://doi.org/10.1002/2016WR019194, 2016.
Settele, J., Scholes, R., Betts, R. A., Bunn, S., Leadley, P., Nepstad, D.,
Overpeck, J. T., and Taboada, M. A.: Terrestrial and Inland water systems,
in: Climate Change 2014 Impacts, Adaptation and Vulnerability: Part A:
Global and Sectoral Aspects, 271–360,
https://doi.org/10.1017/CBO9781107415379.009, 2015.
Sharma, S., Gray, D. K., Read, J. S., O'Reilly, C. M., Schneider, P.,
Qudrat, A., Gries, C., Stefanoff, S., Hampton, S. E., Hook, S., Lenters, J.
D., Livingstone, D. M., McIntyre, P. B., Adrian, R., Allan, M. G.,
Anneville, O., Arvola, L., Austin, J., Bailey, J., Baron, J. S., Brookes,
J., Chen, Y., Daly, R., Dokulil, M., Dong, B., Ewing, K., De Eyto, E.,
Hamilton, D., Havens, K., Haydon, S., Hetzenauer, H., Heneberry, J.,
Hetherington, A. L., Higgins, S. N., Hixson, E., Izmest'eva, L. R., Jones,
B. M., Kangur, K., Kasprzak, P., Köster, O., Kraemer, B. M., Kumagai,
M., Kuusisto, E., Leshkevich, G., May, L., MacIntyre, S.,
Müller-Navarra, D., Naumenko, M., Noges, P., Noges, T., Niederhauser,
P., North, R. P., Paterson, A. M., Plisnier, P. D., Rigosi, A., Rimmer, A.,
Rogora, M., Rudstam, L., Rusak, J. A., Salmaso, N., Samal, N. R., Schindler,
D. E., Schladow, G., Schmidt, S. R., Schultz, T., Silow, E. A., Straile, D.,
Teubner, K., Verburg, P., Voutilainen, A., Watkinson, A., Weyhenmeyer, G.
A., Williamson, C. E., and Woo, K. H.: A global database of lake surface
temperatures collected by in situ and satellite methods from 1985-2009, Sci.
Data, 2, 150008, https://doi.org/10.1038/sdata.2015.8, 2015.
Sharma, S., Blagrave, K., Magnuson, J. J., O'Reilly, C. M., Oliver, S.,
Batt, R. D., Magee, M. R., Straile, D., Weyhenmeyer, G. A., Winslow, L., and
Woolway, R. I.: Widespread loss of lake ice around the Northern Hemisphere
in a warming world, Nat. Clim. Change, 9, 227–231,
https://doi.org/10.1038/s41558-018-0393-5, 2019.
Shatwell, T., Thiery, W., and Kirillin, G.: Future projections of temperature and mixing regime of European temperate lakes, Hydrol. Earth Syst. Sci., 23, 1533–1551, https://doi.org/10.5194/hess-23-1533-2019, 2019.
Shen, H., Tolson, B. A., and Mai, J.: Time to Update the Split-Sample
Approach in Hydrological Model Calibration, Water Resour. Res., 58, e2021WR031523,
https://doi.org/10.1029/2021wr031523, 2022.
Spence, C., Blanken, P. D., Lenters, J. D., and Hedstrom, N.: The Importance
of Spring and Autumn Atmospheric Conditions for the Evaporation Regime of
Lake Superior, J. Hydrometeorol., 14, 1647–1658,
https://doi.org/10.1175/JHM-D-12-0170.1, 2013.
Stepanenko, V., Jöhnk, K. D., and Machulskaya, E.: Simulation of surface
energy fluxes and stratification of a small boreal lake by a set of
one-dimensional models, Tellus A, 66, 21389,
https://doi.org/10.3402/tellusa.v66.21389, 2014.
Stepanenko, V., Mammarella, I., Ojala, A., Miettinen, H., Lykosov, V., and Vesala, T.: LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes, Geosci. Model Dev., 9, 1977–2006, https://doi.org/10.5194/gmd-9-1977-2016, 2016.
Stepanenko, V. M., Goyette, S., Martynov, A., Perroud, M., Fang, X., and
Mironov, D.: First steps of a Lake Model Intercomparison Project: LakeMIP,
Boreal Environ. Res., 15, 191–202, 2010.
Stepanenko, V. M., Martynov, A., Jöhnk, K. D., Subin, Z. M., Perroud, M., Fang, X., Beyrich, F., Mironov, D., and Goyette, S.: A one-dimensional model intercomparison study of thermal regime of a shallow, turbid midlatitude lake, Geosci. Model Dev., 6, 1337–1352, https://doi.org/10.5194/gmd-6-1337-2013, 2013.
Strokal, M., Kroeze, C., Wang, M., Bai, Z., and Ma, L.: The MARINA model
(Model to Assess River Inputs of Nutrients to seAs): Model description and
results for China, Sci. Total Environ., 562, 869–888,
https://doi.org/10.1016/j.scitotenv.2016.04.071, 2016.
Subin, Z. M., Riley, W. J., and Mironov, D.: An improved lake model for
climate simulations: model structure, evaluation, and sensitivity analyses
in CESM1, J. Adv. Model. Earth Syst., 4, M02001,
https://doi.org/10.1029/2011MS000072, 2012.
Tan, Z., Zhuang, Q., and Walter Anthony, K.: Modeling methane emissions from
arctic lakes: Model development and site-level study, J. Adv. Model. Earth
Syst., 7, 459–483, https://doi.org/10.1002/2014MS000344, 2015.
Tan, Z., Zhuang, Q., Shurpali, N. J., Marushchak, M. E., Biasi, C., Eugster,
W., and Walter Anthony, K.: Modeling CO2 emissions from Arctic lakes: Model
development and site-level study, J. Adv. Model. Earth Syst., 9, 2190–2213,
https://doi.org/10.1002/2017MS001028, 2017.
Tan, Z., Yao, H., and Zhuang, Q.: A Small Temperate Lake in the 21st
Century: Dynamics of Water Temperature, Ice Phenology, Dissolved Oxygen, and
Chlorophyll a, Water Resour. Res., 54, 4681–4699, 2018.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An Overview of CMIP5 and
the Experiment Design, B. Am. Meteorol. Soc., 93, 485–498,
https://doi.org/10.1175/BAMS-D-11-00094.1, 2012.
Thiery, W., Stepanenko, V. M., Fang, X., Jöhnk, K. D., Li, Z., Martynov,
A., Perroud, M., Subin, Z. M., Darchambeau, F., Mironov, D., and Van Lipzig,
N. P. M.: LakeMIP Kivu: Evaluating the representation of a large, deep
tropical lake by a set of one-dimensional lake models, Tellus A, 66, 21390, https://doi.org/10.3402/tellusa.v66.21390, 2014a.
Thiery, W., Martynov, A., Darchambeau, F., Descy, J.-P., Plisnier, P.-D., Sushama, L., and van Lipzig, N. P. M.: Understanding the performance of the FLake model over two African Great Lakes, Geosci. Model Dev., 7, 317–337, https://doi.org/10.5194/gmd-7-317-2014, 2014b.
Thiery, W., Davin, E. L., Panitz, H. J., Demuzere, M., Lhermitte, S., and
Van Lipzig, N.: The impact of the African Great Lakes on the regional
climate, J. Climate, 28, 4061–4085,
https://doi.org/10.1175/JCLI-D-14-00565.1, 2015.
Thiery, W., Davin, E. L., Seneviratne, S. I., Bedka, K., Lhermitte, S., and
van Lipzig, N. P. M.: Hazardous thunderstorm intensification over Lake
Victoria, Nat. Commun., 7, 12786, https://doi.org/10.1038/ncomms12786, 2016.
Thiery, W., Gudmundsson, L., Bedka, K., Semazzi, F. H. M., Lhermitte, S., Willems, P., van Lipzig, N. P. M., and Seneviratne, S. I.: Early warnings of hazardous thunderstorms over Lake Victoria, Env. Res. Letters, 12, 074012, https://doi.org/10.1088/1748-9326/aa7521, 2017.
Thiery, W., Lange, S., Rogelj, J., Schleussner, C. F., Gudmundsson, L.,
Seneviratne, S. I., Andrijevic, M., Frieler, K., Emanuel, K., Geiger, T.,
Bresch, D. N., Zhao, F., Willner, S. N., Büchner, M., Volkholz, J.,
Bauer, N., Chang, J., Ciais, P., Dury, M., François, L., Grillakis, M.,
Gosling, S. N., Hanasaki, N., Hickler, T., Huber, V., Ito, A.,
Jägermeyr, J., Khabarov, N., Koutroulis, A., Liu, W., Lutz, W., Mengel,
M., Müller, C., Ostberg, S., Reyer, C. P. O., Stacke, T., and Wada, Y.:
Intergenerational inequities in exposure to climate extremes, Science, 374,
158–160, https://doi.org/10.1126/science.abi7339, 2021.
Toffolon, M., Piccolroaz, S., Majone, B., Soja, A. M., Peeters, F., Schmid,
M., and Wüest, A.: Prediction of surface temperature in lakes with
different morphology using air temperature, Limnol. Oceanogr., 59,
2185–2202, https://doi.org/10.4319/lo.2014.59.6.2185, 2014.
Toptunova, O., Choulga, M., and Kurzeneva, E.: Status and progress in global lake database developments, Adv. Sci. Res., 16, 57–61, https://doi.org/10.5194/asr-16-57-2019, 2019.
Trolle, D., Elliott, J. A., Mooij, W. M., Janse, J. H., Bolding, K.,
Hamilton, D. P., and Jeppesen, E.: Advancing projections of phytoplankton
responses to climate change through ensemble modelling, Environ. Model.
Softw., 61, 371–379, 2014.
Umlauf, L. and Lemmin, U.: Interbasin exchange and mixing in the hypolimnion
of a large lake: The role of long internal waves, Limnol. Oceanogr., 50, 1601–1611, 2005.
Vanderkelen, I. and Schewe, J.: ISIMIP3a lakes input data, ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.263794.1, 2020a.
Vanderkelen, I. and Schewe, J.: ISIMIP3b lakes input data, ISIMIP Repository [data set], https://doi.org/10.48364/ISIMIP.383948, 2020b.
Vanderkelen, I., van Lipzig, N. P. M., Lawrence, D. M., Droppers, B., Golub,
M., Gosling, S. N., Janssen, A. B. G., Marcé, R., Schmied, H. M.,
Perroud, M., Pierson, D., Pokhrel, Y., Satoh, Y., Schewe, J., Seneviratne,
S. I., Stepanenko, V. M., Tan, Z., Woolway, R. I., and Thiery, W.: Global
Heat Uptake by Inland Waters, Geophys. Res. Lett., 47, e2020GL087867,
https://doi.org/10.1029/2020GL087867, 2020.
Vanderkelen, I., van Lipzig, N. P. M., Sacks, W. J., Lawrence, D. M., Clark,
M. P., Mizukami, N., Pokhrel, Y., and Thiery, W.: Simulating the Impact of
Global Reservoir Expansion on the Present-Day Climate, J. Geophys. Res.-Atmos., 126, e2020JD034485, https://doi.org/10.1029/2020JD034485, 2021.
Verpoorter, C., Kutser, T., Seekell, D. A., and Tranvik, L. J.: A global
inventory of lakes based on high-resolution satellite imagery, Geophys. Res.
Lett., 41, 6396–6402, https://doi.org/10.1002/2014GL060641, 2014.
Wang, W., Lee, X., Xiao, W., Liu, S., Schultz, N., Wang, Y., Zhang, M., and
Zhao, L.: Global lake evaporation accelerated by changes in surface energy
allocation in a warmer climate, Nat. Geosci., 11, 410–414,
https://doi.org/10.1038/s41561-018-0114-8, 2018.
Wang, X., Qiu, Y., Zhang, Y., Lemmetyinen, J., Cheng, B., Liang, W., and
Leppäranta, M.: A lake ice phenology dataset for the Northern Hemisphere
based on passive microwave remote sensing, Big Earth Data, 1–19,
https://doi.org/10.1080/20964471.2021.1992916, 2021.
Weathers, K., Hanson, P. C., Arzberger, P., Brentrup, J., Brookes, J. D.,
Carey, C. C., Gaiser, E., Hamilton, D. P., Hong, G. S., Ibelings, B. W.,
Istvánovics, V., Jennings, E., Kim, B., Kratz, T., Lin, F.-P., Muraoka,
K., O'Reilly, C., Piccolo, C., Ryder, E., and Zhu, G.: The Global Lake
Ecological Observatory Network (GLEON): the evolution of grassroots network
science, Limnol. Oceanogr. Bull., 22, 71–73, 2013.
Weyhenmeyer, G. A., Livingstone, D. M., Meili, M., Jensen, O., Benson, B.
J., and Magnuson, J. J.: Large geographical differences in the sensitivity
of ice-covered lakes and rivers in the Northern Hemisphere to temperature
changes, Glob. Change Biol., 17, 268–275,
https://doi.org/10.1111/j.1365-2486.2010.02249.x, 2011.
Winslow, L. A., Read, J. S., Hansen, G. J. A., Rose, K. C., and Robertson,
D. M.: Seasonality of change: Summer warming rates do not fully represent
effects of climate change on lake temperatures, Limnol. Oceanogr., 62,
2168–2178, https://doi.org/10.1002/lno.10557, 2017.
Woolway, R. I. and Merchant, C. J.: Worldwide alteration of lake mixing
regimes in response to climate change, Nat. Geosci., 12, 271–276,
https://doi.org/10.1038/s41561-019-0322-x, 2019.
Woolway, R. I., Merchant, C. J., Van Den Hoek, J., Azorin-Molina, C.,
Nõges, P., Laas, A., Mackay, E. B., and Jones, I. D.: Northern
Hemisphere Atmospheric Stilling Accelerates Lake Thermal Responses to a
Warming World, Geophys. Res. Lett., 46, 11983–11992,
https://doi.org/10.1029/2019GL082752, 2019a.
Woolway, R. I., Weyhenmeyer, G. A., Schmid, M., Dokulil, M. T., de Eyto, E.,
Maberly, S. C., May, L., and Merchant, C. J.: Substantial increase in
minimum lake surface temperatures under climate change, Climatic Change, 155,
81–94, https://doi.org/10.1007/s10584-019-02465-y, 2019b.
Woolway, R. I., Kraemer, B. M., Lenters, J. D., Merchant, C. J., O'Reilly,
C. M., and Sharma, S.: Global lake responses to climate change, Nat. Rev.
Earth Environ., 1, 388–403, https://doi.org/10.1038/s43017-020-0067-5,
2020.
Woolway, R. I., Jennings, E., Shatwell, T., Golub, M., Pierson, D. C., and
Maberly, S. C.: Lake heatwaves under climate change, Nature, 589, 402–407,
https://doi.org/10.1038/s41586-020-03119-1, 2021a.
Woolway, R. I., Sharma, S., Weyhenmeyer, G. A., Debolskiy, A., Golub, M.,
Mercado-Bettín, D., Perroud, M., Stepanenko, V., Tan, Z., Grant, L.,
Ladwig, R., Mesman, J., Moore, T. N., Shatwell, T., Vanderkelen, I., Austin,
J. A., DeGasperi, C. L., Dokulil, M., La Fuente, S., Mackay, E. B.,
Schladow, S. G., Watanabe, S., Marcé, R., Pierson, D. C., Thiery, W.,
and Jennings, E.: Phenological shifts in lake stratification under climate
change, Nat. Commun., 12, 2318, https://doi.org/10.1038/s41467-021-22657-4,
2021b.
Woolway, R. I., Albergel, C., Frölicher, T. L., and Perroud, M.: Severe
Lake Heatwaves Attributable to Human-Induced Global Warming, Geophys. Res.
Lett., 49, e2021GL097031, https://doi.org/10.1029/2021gl097031, 2022.
Zwart, J. A., Hanson, Z. J., Read, J. S., Fienen, M. N., Hamlet, A. F.,
Bolster, D., and Jones, S. E.: Cross-Scale Interactions Dictate Regional
Lake Carbon Flux and Productivity Response to Future Climate, Geophys. Res.
Lett., 46, 8840–8851, https://doi.org/10.1029/2019GL083478, 2019.
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Short summary
Lakes and reservoirs are warming across the globe. To better understand how lakes are changing and to project their future behavior amidst various sources of uncertainty, simulations with a range of lake models are required. This in turn requires international coordination across different lake modelling teams worldwide. Here we present a protocol for and results from coordinated simulations of climate change impacts on lakes worldwide.
Lakes and reservoirs are warming across the globe. To better understand how lakes are changing...
