Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1607-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1607-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model experiment description paper
| 
24 Apr 2018
Model experiment description paper |
| 24 Apr 2018
| 24 Apr 2018
Boundary conditions for the Middle Miocene Climate Transition (MMCT v1.0)
Amanda Frigola
CORRESPONDING AUTHOR
MARUM Center for Marine Environmental Sciences, University of Bremen,
28359 Bremen, Germany
Matthias Prange
MARUM Center for Marine Environmental Sciences, University of Bremen,
28359 Bremen, Germany
Faculty of Geosciences, University of Bremen, 28359 Bremen, Germany
Michael Schulz
MARUM Center for Marine Environmental Sciences, University of Bremen,
28359 Bremen, Germany
Faculty of Geosciences, University of Bremen, 28359 Bremen, Germany
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Clim. Past, 20, 1559–1577, https://doi.org/10.5194/cp-20-1559-2024, https://doi.org/10.5194/cp-20-1559-2024, 2024
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During the last glacial period, the Patagonian Ice Sheet grew along the southern Andes, leaving marks on the landscape showing its former extents and timing. We use paleoclimate and ice sheet models to replicate its glacial history. We find that errors in the model-based ice sheet are likely induced by imprecise reconstructions of air temperature due to poorly resolved Andean topography in global climate models, while a fitting regional climate history is only captured by local sediment records.
Brian R. Crow, Lev Tarasov, Michael Schulz, and Matthias Prange
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An abnormally warm period around 400,000 years ago is thought to have resulted in a large melt event for the Greenland Ice Sheet. Using a sequence of climate model simulations connected to an ice model, we estimate a 50 % melt of Greenland compared to today. Importantly, we explore how the exact methodology of connecting the temperatures and precipitation from the climate model to the ice sheet model can influence these results and show that common methods could introduce errors.
Takasumi Kurahashi-Nakamura, André Paul, Ute Merkel, and Michael Schulz
Clim. Past, 18, 1997–2019, https://doi.org/10.5194/cp-18-1997-2022, https://doi.org/10.5194/cp-18-1997-2022, 2022
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With a comprehensive Earth-system model including the global carbon cycle, we simulated the climate state during the last glacial maximum. We demonstrated that the CO2 concentration in the atmosphere both in the modern (pre-industrial) age (~280 ppm) and in the glacial age (~190 ppm) can be reproduced by the model with a common configuration by giving reasonable model forcing and total ocean inventories of carbon and other biogeochemical matter for the respective ages.
Brian R. Crow, Matthias Prange, and Michael Schulz
Clim. Past, 18, 775–792, https://doi.org/10.5194/cp-18-775-2022, https://doi.org/10.5194/cp-18-775-2022, 2022
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To better understand the climate conditions which lead to extensive melting of the Greenland ice sheet, we used climate models to reconstruct the climate conditions of the warmest period of the last 800 000 years, which was centered around 410 000 years ago. Surprisingly, we found that atmospheric circulation changes may have acted to reduce the melt of the ice sheet rather than enhance it, despite the extensive warmth of the time.
Markus Raitzsch, Jelle Bijma, Torsten Bickert, Michael Schulz, Ann Holbourn, and Michal Kučera
Clim. Past, 17, 703–719, https://doi.org/10.5194/cp-17-703-2021, https://doi.org/10.5194/cp-17-703-2021, 2021
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At approximately 14 Ma, the East Antarctic Ice Sheet expanded to almost its current extent, but the role of CO2 in this major climate transition is not entirely known. We show that atmospheric CO2 might have varied on 400 kyr cycles linked to the eccentricity of the Earth’s orbit. The resulting change in weathering and ocean carbon cycle affected atmospheric CO2 in a way that CO2 rose after Antarctica glaciated, helping to stabilize the climate system on its way to the “ice-house” world.
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We combine a computer model with different climate records to simulate how Antarctica responded to warming during marine isotope substage 11c, which can help understand Antarctica's natural drivers of change. We found that the regional climate warming of Antarctica seen in ice cores was necessary for the model to match the recorded sea level rise. A collapse of its western ice sheet is possible if a modest warming is sustained for ca. 4000 years, contributing 6.7 to 8.2 m to sea level rise.
Kaveh Purkiani, André Paul, Annemiek Vink, Maren Walter, Michael Schulz, and Matthias Haeckel
Biogeosciences, 17, 6527–6544, https://doi.org/10.5194/bg-17-6527-2020, https://doi.org/10.5194/bg-17-6527-2020, 2020
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There has been a steady increase in interest in mining of deep-sea minerals in the eastern Pacific Ocean recently. The ocean state in this region is known to be highly influenced by rotating bodies of water (eddies), some of which can travel long distances in the ocean and impact the deeper layers of the ocean. Better insight into the variability of eddy activity in this region is of great help to mitigate the impact of the benthic ecosystem from future potential deep-sea mining activity.
Takasumi Kurahashi-Nakamura, André Paul, Guy Munhoven, Ute Merkel, and Michael Schulz
Geosci. Model Dev., 13, 825–840, https://doi.org/10.5194/gmd-13-825-2020, https://doi.org/10.5194/gmd-13-825-2020, 2020
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Chemical processes in ocean-floor sediments have a large influence on the marine carbon cycle, hence the global climate, at long timescales. We developed a new coupling scheme for a chemical sediment model and a comprehensive climate model. The new coupled model outperformed the original uncoupled climate model in reproducing the global distribution of sediment properties. The sediment model will also act as a
bridgebetween the ocean model and paleoceanographic data.
Pepijn Bakker, Irina Rogozhina, Ute Merkel, and Matthias Prange
Clim. Past, 16, 371–386, https://doi.org/10.5194/cp-16-371-2020, https://doi.org/10.5194/cp-16-371-2020, 2020
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Northeastern Siberia is currently known for its harsh cold climate, but remarkably it did not experience large-scale glaciation during the last ice age. We show that the region is also exceptional in climate models. As a result of subtle changes in model setup, climate models show a strong divergence in simulated glacial summer temperatures that is ultimately driven by changes in the circumpolar atmospheric stationary wave pattern and associated northward heat transport to northeastern Siberia.
Gerlinde Jung and Matthias Prange
Clim. Past, 16, 161–181, https://doi.org/10.5194/cp-16-161-2020, https://doi.org/10.5194/cp-16-161-2020, 2020
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All major mountain ranges were uplifted during Earth's history. Previous work showed that African uplift might have influenced upper-ocean cooling in the Benguela region. But the surface ocean cooled also in other upwelling regions during the last 10 million years. We performed a set of model experiments altering topography in major mountain regions to explore the effects on atmosphere and ocean. The simulations show that mountain uplift is important for upper-ocean temperature evolution.
Andreia Rebotim, Antje Helga Luise Voelker, Lukas Jonkers, Joanna J. Waniek, Michael Schulz, and Michal Kucera
J. Micropalaeontol., 38, 113–131, https://doi.org/10.5194/jm-38-113-2019, https://doi.org/10.5194/jm-38-113-2019, 2019
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To reconstruct subsurface water conditions using deep-dwelling planktonic foraminifera, we must fully understand how the oxygen isotope signal incorporates into their shell. We report δ18O in four species sampled in the eastern North Atlantic with plankton tows. We assess the size and crust effect on the isotopic δ18O and compared them with predictions from two equations. We reveal different patterns of calcite addition with depth, highlighting the need to perform species-specific calibrations.
Charlotte Breitkreuz, André Paul, and Michael Schulz
Clim. Past Discuss., https://doi.org/10.5194/cp-2019-52, https://doi.org/10.5194/cp-2019-52, 2019
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We combined a model simulation of the Last Glacial Maximum ocean with sea surface temperature and calcite oxygen isotope data through data assimilation. The reconstructed ocean state is very similar to the modern and it follows that the employed proxy data do not require an ocean state very different from today's. Sensitivity experiments reveal that data from the deep North Atlantic but also from the global deep Southern Ocean are most important to constrain the Atlantic overturning circulation.
Charlotte Breitkreuz, André Paul, Stefan Mulitza, Javier García-Pintado, and Michael Schulz
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-32, https://doi.org/10.5194/gmd-2019-32, 2019
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We present a technique for ocean state estimation based on the combination of a simple data assimilation method with a state reduction approach. The technique proves to be very efficient and successful in reducing the model-data misfit and reconstructing a target ocean circulation from synthetic observations. In an application to Last Glacial Maximum proxy data the model-data misfit is greatly reduced but some misfit remains. Two different ocean states are found with similar model-data misfit.
Axel Wagner, Gerrit Lohmann, and Matthias Prange
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2018-172, https://doi.org/10.5194/gmd-2018-172, 2018
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Andrea Klus, Matthias Prange, Vidya Varma, Louis Bruno Tremblay, and Michael Schulz
Clim. Past, 14, 1165–1178, https://doi.org/10.5194/cp-14-1165-2018, https://doi.org/10.5194/cp-14-1165-2018, 2018
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Numerous proxy records from the northern North Atlantic suggest substantial climate variability including the occurrence of multi-decadal-to-centennial cold events during the Holocene. We analyzed two abrupt cold events in a Holocene simulation using a comprehensive climate model. It is shown that the events were ultimately triggered by prolonged phases of positive North Atlantic Oscillation causing changes in ocean circulation followed by severe cooling, freshening, and expansion of sea ice.
Kerstin Kretschmer, Lukas Jonkers, Michal Kucera, and Michael Schulz
Biogeosciences, 15, 4405–4429, https://doi.org/10.5194/bg-15-4405-2018, https://doi.org/10.5194/bg-15-4405-2018, 2018
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The fossil shells of planktonic foraminifera are widely used to reconstruct past climate conditions. To do so, information about their seasonal and vertical habitat is needed. Here we present an updated version of a planktonic foraminifera model to better understand species-specific habitat dynamics under climate change. This model produces spatially and temporally coherent distribution patterns, which agree well with available observations, and can thus aid the interpretation of proxy records.
Rike Völpel, André Paul, Annegret Krandick, Stefan Mulitza, and Michael Schulz
Geosci. Model Dev., 10, 3125–3144, https://doi.org/10.5194/gmd-10-3125-2017, https://doi.org/10.5194/gmd-10-3125-2017, 2017
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This study presents the implementation of stable water isotopes in the MITgcm and describes the results of an equilibrium simulation under pre-industrial conditions. The model compares well to observational data and measurements of plankton tow records and thus opens wide prospects for long-term simulations in a paleoclimatic context.
Andreia Rebotim, Antje H. L. Voelker, Lukas Jonkers, Joanna J. Waniek, Helge Meggers, Ralf Schiebel, Igaratza Fraile, Michael Schulz, and Michal Kucera
Biogeosciences, 14, 827–859, https://doi.org/10.5194/bg-14-827-2017, https://doi.org/10.5194/bg-14-827-2017, 2017
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Planktonic foraminifera species depth habitat remains poorly constrained and the existing conceptual models are not sufficiently tested by observational data. Here we present a synthesis of living planktonic foraminifera abundance data in the subtropical eastern North Atlantic from vertical plankton tows. We also test potential environmental factors influencing the species depth habitat and investigate yearly or lunar migration cycles. These findings may impact paleoceanographic studies.
Vidya Varma, Matthias Prange, and Michael Schulz
Geosci. Model Dev., 9, 3859–3873, https://doi.org/10.5194/gmd-9-3859-2016, https://doi.org/10.5194/gmd-9-3859-2016, 2016
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We compare the results from simulations of the present and the last interglacial, with and without acceleration of the orbital forcing, using a comprehensive coupled climate model. In low latitudes, the simulation of long-term variations in interglacial surface climate is not significantly affected by the use of the acceleration technique and hence model–data comparison of surface variables is therefore not hampered but major repercussions of the orbital forcing are obvious below thermocline.
Rima Rachmayani, Matthias Prange, and Michael Schulz
Clim. Past, 12, 677–695, https://doi.org/10.5194/cp-12-677-2016, https://doi.org/10.5194/cp-12-677-2016, 2016
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A set of 13 interglacial time slice experiments was carried out using a CCSM3-DGVM to study global climate variability between and within the Quaternary interglaciations of MIS 1, 5, 11, 13, and 15. Seasonal surface temperature anomalies can be explained by local insolation anomalies induced by the astronomical forcing in most regions and by GHG forcing at high latitudes and early Bruhnes interglacials. However, climate feedbacks may modify the surface temperature response in specific regions.
C. M. Chiessi, S. Mulitza, G. Mollenhauer, J. B. Silva, J. Groeneveld, and M. Prange
Clim. Past, 11, 915–929, https://doi.org/10.5194/cp-11-915-2015, https://doi.org/10.5194/cp-11-915-2015, 2015
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Here we show that temperatures in the western South Atlantic increased markedly during the major slowdown event of the Atlantic meridional overturning circulation (AMOC) of the last deglaciation. Over the adjacent continent, however, temperatures followed the rise in atmospheric carbon dioxide, lagging changes in oceanic temperature. Our records corroborate the notion that the long duration of the major slowdown event of the AMOC was fundamental in driving the Earth out of the last glacial.
I. Bouimetarhan, L. Dupont, H. Kuhlmann, J. Pätzold, M. Prange, E. Schefuß, and K. Zonneveld
Clim. Past, 11, 751–764, https://doi.org/10.5194/cp-11-751-2015, https://doi.org/10.5194/cp-11-751-2015, 2015
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This study has great paleoclimatic and paleoecological significance, as it deals with the poorly documented tropical SE African ecosystem during the last deglaciation. Changes in the Rufiji upland vegetation evidenced the response of the regional hydrologic system to high-latitude climatic fluctuations associated with ITCZ shifts, while changes in sensitive tropical salt marshes and mangrove communities in the Rufiji lowland evidenced the impact of sea level changes on the intertidal ecosystem.
R. Rachmayani, M. Prange, and M. Schulz
Clim. Past, 11, 175–185, https://doi.org/10.5194/cp-11-175-2015, https://doi.org/10.5194/cp-11-175-2015, 2015
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The role of vegetation-precipitation feedbacks in modifying the North African rainfall response to enhanced early to mid-Holocene summer insolation is analysed using the climate-vegetation model CCSM3-DGVM. Dynamic vegetation amplifies the positive early to mid-Holocene summer precipitation anomaly by ca. 20% in the Sahara-Sahel region. The primary vegetation feedback operates through surface latent heat flux anomalies by canopy evapotranspiration and their effect on the African easterly jet.
N. Merz, C. C. Raible, H. Fischer, V. Varma, M. Prange, and T. F. Stocker
Clim. Past, 9, 2433–2450, https://doi.org/10.5194/cp-9-2433-2013, https://doi.org/10.5194/cp-9-2433-2013, 2013
Y. Milker, R. Rachmayani, M. F. G. Weinkauf, M. Prange, M. Raitzsch, M. Schulz, and M. Kučera
Clim. Past, 9, 2231–2252, https://doi.org/10.5194/cp-9-2231-2013, https://doi.org/10.5194/cp-9-2231-2013, 2013
D. Handiani, A. Paul, M. Prange, U. Merkel, L. Dupont, and X. Zhang
Clim. Past, 9, 1683–1696, https://doi.org/10.5194/cp-9-1683-2013, https://doi.org/10.5194/cp-9-1683-2013, 2013
M. Kageyama, U. Merkel, B. Otto-Bliesner, M. Prange, A. Abe-Ouchi, G. Lohmann, R. Ohgaito, D. M. Roche, J. Singarayer, D. Swingedouw, and X Zhang
Clim. Past, 9, 935–953, https://doi.org/10.5194/cp-9-935-2013, https://doi.org/10.5194/cp-9-935-2013, 2013
P. Bakker, E. J. Stone, S. Charbit, M. Gröger, U. Krebs-Kanzow, S. P. Ritz, V. Varma, V. Khon, D. J. Lunt, U. Mikolajewicz, M. Prange, H. Renssen, B. Schneider, and M. Schulz
Clim. Past, 9, 605–619, https://doi.org/10.5194/cp-9-605-2013, https://doi.org/10.5194/cp-9-605-2013, 2013
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Climate models are essential tools in the study of climate change and its wide-ranging impacts on life on Earth. However, the output is often afflicted with some bias. In this paper, a novel model is developed to predict and correct bias in the output of climate models. The model captures uncertainty in the correction and explicitly models underlying spatial correlation between points. These features are of key importance for climate change impact assessments and resulting decision-making.
Anna Martin, Veronika Gayler, Benedikt Steil, Klaus Klingmüller, Patrick Jöckel, Holger Tost, Jos Lelieveld, and Andrea Pozzer
Geosci. Model Dev., 17, 5705–5732, https://doi.org/10.5194/gmd-17-5705-2024, https://doi.org/10.5194/gmd-17-5705-2024, 2024
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The study evaluates the land surface and vegetation model JSBACHv4 as a replacement for the simplified submodel SURFACE in EMAC. JSBACH mitigates earlier problems of soil dryness, which are critical for vegetation modelling. When analysed using different datasets, the coupled model shows strong correlations of key variables, such as land surface temperature, surface albedo and radiation flux. The versatility of the model increases significantly, while the overall performance does not degrade.
Hugo Banderier, Christian Zeman, David Leutwyler, Stefan Rüdisühli, and Christoph Schär
Geosci. Model Dev., 17, 5573–5586, https://doi.org/10.5194/gmd-17-5573-2024, https://doi.org/10.5194/gmd-17-5573-2024, 2024
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We investigate the effects of reduced-precision arithmetic in a state-of-the-art regional climate model by studying the results of 10-year-long simulations. After this time, the results of the reduced precision and the standard implementation are hardly different. This should encourage the use of reduced precision in climate models to exploit the speedup and memory savings it brings. The methodology used in this work can help researchers verify reduced-precision implementations of their model.
David Fuchs, Steven C. Sherwood, Abhnil Prasad, Kirill Trapeznikov, and Jim Gimlett
Geosci. Model Dev., 17, 5459–5475, https://doi.org/10.5194/gmd-17-5459-2024, https://doi.org/10.5194/gmd-17-5459-2024, 2024
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Machine learning (ML) of unresolved processes offers many new possibilities for improving weather and climate models, but integrating ML into the models has been an engineering challenge, and there are performance issues. We present a new software plugin for this integration, TorchClim, that is scalable and flexible and thereby allows a new level of experimentation with the ML approach. We also provide guidance on ML training and demonstrate a skillful hybrid ML atmosphere model.
Minjin Lee, Charles A. Stock, John P. Dunne, and Elena Shevliakova
Geosci. Model Dev., 17, 5191–5224, https://doi.org/10.5194/gmd-17-5191-2024, https://doi.org/10.5194/gmd-17-5191-2024, 2024
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Modeling global freshwater solid and nutrient loads, in both magnitude and form, is imperative for understanding emerging eutrophication problems. Such efforts, however, have been challenged by the difficulty of balancing details of freshwater biogeochemical processes with limited knowledge, input, and validation datasets. Here we develop a global freshwater model that resolves intertwined algae, solid, and nutrient dynamics and provide performance assessment against measurement-based estimates.
Hunter York Brown, Benjamin Wagman, Diana Bull, Kara Peterson, Benjamin Hillman, Xiaohong Liu, Ziming Ke, and Lin Lin
Geosci. Model Dev., 17, 5087–5121, https://doi.org/10.5194/gmd-17-5087-2024, https://doi.org/10.5194/gmd-17-5087-2024, 2024
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Explosive volcanic eruptions lead to long-lived, microscopic particles in the upper atmosphere which act to cool the Earth's surface by reflecting the Sun's light back to space. We include and test this process in a global climate model, E3SM. E3SM is tested against satellite and balloon observations of the 1991 eruption of Mt. Pinatubo, showing that with these particles in the model we reasonably recreate Pinatubo and its global effects. We also explore how particle size leads to these effects.
Carl Svenhag, Moa K. Sporre, Tinja Olenius, Daniel Yazgi, Sara M. Blichner, Lars P. Nieradzik, and Pontus Roldin
Geosci. Model Dev., 17, 4923–4942, https://doi.org/10.5194/gmd-17-4923-2024, https://doi.org/10.5194/gmd-17-4923-2024, 2024
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Our research shows the importance of modeling new particle formation (NPF) and growth of particles in the atmosphere on a global scale, as they influence the outcomes of clouds and our climate. With the global model EC-Earth3 we show that using a new method for NPF modeling, which includes new detailed processes with NH3 and H2SO4, significantly impacts the number of particles in the air and clouds and changes the radiation balance of the same magnitude as anthropogenic greenhouse emissions.
Mengjie Han, Qing Zhao, Xili Wang, Ying-Ping Wang, Philippe Ciais, Haicheng Zhang, Daniel S. Goll, Lei Zhu, Zhe Zhao, Zhixuan Guo, Chen Wang, Wei Zhuang, Fengchang Wu, and Wei Li
Geosci. Model Dev., 17, 4871–4890, https://doi.org/10.5194/gmd-17-4871-2024, https://doi.org/10.5194/gmd-17-4871-2024, 2024
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The impact of biochar (BC) on soil organic carbon (SOC) dynamics is not represented in most land carbon models used for assessing land-based climate change mitigation. Our study develops a BC model that incorporates our current understanding of BC effects on SOC based on a soil carbon model (MIMICS). The BC model can reproduce the SOC changes after adding BC, providing a useful tool to couple dynamic land models to evaluate the effectiveness of BC application for CO2 removal from the atmosphere.
Kalyn Dorheim, Skylar Gering, Robert Gieseke, Corinne Hartin, Leeya Pressburger, Alexey N. Shiklomanov, Steven J. Smith, Claudia Tebaldi, Dawn L. Woodard, and Ben Bond-Lamberty
Geosci. Model Dev., 17, 4855–4869, https://doi.org/10.5194/gmd-17-4855-2024, https://doi.org/10.5194/gmd-17-4855-2024, 2024
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Hector is an easy-to-use, global climate–carbon cycle model. With its quick run time, Hector can provide climate information from a run in a fraction of a second. Hector models on a global and annual basis. Here, we present an updated version of the model, Hector V3. In this paper, we document Hector’s new features. Hector V3 is capable of reproducing historical observations, and its future temperature projections are consistent with those of more complex models.
Fangxuan Ren, Jintai Lin, Chenghao Xu, Jamiu A. Adeniran, Jingxu Wang, Randall V. Martin, Aaron van Donkelaar, Melanie S. Hammer, Larry W. Horowitz, Steven T. Turnock, Naga Oshima, Jie Zhang, Susanne Bauer, Kostas Tsigaridis, Øyvind Seland, Pierre Nabat, David Neubauer, Gary Strand, Twan van Noije, Philippe Le Sager, and Toshihiko Takemura
Geosci. Model Dev., 17, 4821–4836, https://doi.org/10.5194/gmd-17-4821-2024, https://doi.org/10.5194/gmd-17-4821-2024, 2024
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We evaluate the performance of 14 CMIP6 ESMs in simulating total PM2.5 and its 5 components over China during 2000–2014. PM2.5 and its components are underestimated in almost all models, except that black carbon (BC) and sulfate are overestimated in two models, respectively. The underestimation is the largest for organic carbon (OC) and the smallest for BC. Models reproduce the observed spatial pattern for OC, sulfate, nitrate and ammonium well, yet the agreement is poorer for BC.
Yi Xi, Chunjing Qiu, Yuan Zhang, Dan Zhu, Shushi Peng, Gustaf Hugelius, Jinfeng Chang, Elodie Salmon, and Philippe Ciais
Geosci. Model Dev., 17, 4727–4754, https://doi.org/10.5194/gmd-17-4727-2024, https://doi.org/10.5194/gmd-17-4727-2024, 2024
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The ORCHIDEE-MICT model can simulate the carbon cycle and hydrology at a sub-grid scale but energy budgets only at a grid scale. This paper assessed the implementation of a multi-tiling energy budget approach in ORCHIDEE-MICT and found warmer surface and soil temperatures, higher soil moisture, and more soil organic carbon across the Northern Hemisphere compared with the original version.
Georgia Lazoglou, Theo Economou, Christina Anagnostopoulou, George Zittis, Anna Tzyrkalli, Pantelis Georgiades, and Jos Lelieveld
Geosci. Model Dev., 17, 4689–4703, https://doi.org/10.5194/gmd-17-4689-2024, https://doi.org/10.5194/gmd-17-4689-2024, 2024
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This study focuses on the important issue of the drizzle bias effect in regional climate models, described by an over-prediction of the number of rainy days while underestimating associated precipitation amounts. For this purpose, two distinct methodologies are applied and rigorously evaluated. These results are encouraging for using the multivariate machine learning method random forest to increase the accuracy of climate models concerning the projection of the number of wet days.
Xu Yue, Hao Zhou, Chenguang Tian, Yimian Ma, Yihan Hu, Cheng Gong, Hui Zheng, and Hong Liao
Geosci. Model Dev., 17, 4621–4642, https://doi.org/10.5194/gmd-17-4621-2024, https://doi.org/10.5194/gmd-17-4621-2024, 2024
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We develop the interactive Model for Air Pollution and Land Ecosystems (iMAPLE). The model considers the full coupling between carbon and water cycles, dynamic fire emissions, wetland methane emissions, biogenic volatile organic compound emissions, and trait-based ozone vegetation damage. Evaluations show that iMAPLE is a useful tool for the study of the interactions among climate, chemistry, and ecosystems.
Malte Meinshausen, Carl-Friedrich Schleussner, Kathleen Beyer, Greg Bodeker, Olivier Boucher, Josep G. Canadell, John S. Daniel, Aïda Diongue-Niang, Fatima Driouech, Erich Fischer, Piers Forster, Michael Grose, Gerrit Hansen, Zeke Hausfather, Tatiana Ilyina, Jarmo S. Kikstra, Joyce Kimutai, Andrew D. King, June-Yi Lee, Chris Lennard, Tabea Lissner, Alexander Nauels, Glen P. Peters, Anna Pirani, Gian-Kasper Plattner, Hans Pörtner, Joeri Rogelj, Maisa Rojas, Joyashree Roy, Bjørn H. Samset, Benjamin M. Sanderson, Roland Séférian, Sonia Seneviratne, Christopher J. Smith, Sophie Szopa, Adelle Thomas, Diana Urge-Vorsatz, Guus J. M. Velders, Tokuta Yokohata, Tilo Ziehn, and Zebedee Nicholls
Geosci. Model Dev., 17, 4533–4559, https://doi.org/10.5194/gmd-17-4533-2024, https://doi.org/10.5194/gmd-17-4533-2024, 2024
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The scientific community is considering new scenarios to succeed RCPs and SSPs for the next generation of Earth system model runs to project future climate change. To contribute to that effort, we reflect on relevant policy and scientific research questions and suggest categories for representative emission pathways. These categories are tailored to the Paris Agreement long-term temperature goal, high-risk outcomes in the absence of further climate policy and worlds “that could have been”.
Ross Mower, Ethan D. Gutmann, Glen E. Liston, Jessica Lundquist, and Soren Rasmussen
Geosci. Model Dev., 17, 4135–4154, https://doi.org/10.5194/gmd-17-4135-2024, https://doi.org/10.5194/gmd-17-4135-2024, 2024
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Higher-resolution model simulations are better at capturing winter snowpack changes across space and time. However, increasing resolution also increases the computational requirements. This work provides an overview of changes made to a distributed snow-evolution modeling system (SnowModel) to allow it to leverage high-performance computing resources. Continental simulations that were previously estimated to take 120 d can now be performed in 5 h.
Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev., 17, 3975–3992, https://doi.org/10.5194/gmd-17-3975-2024, https://doi.org/10.5194/gmd-17-3975-2024, 2024
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To enhance the efficiency of experiments using SCAM, we train a learning-based surrogate model to facilitate large-scale sensitivity analysis and tuning of combinations of multiple parameters. Employing a hybrid method, we investigate the joint sensitivity of multi-parameter combinations across typical cases, identifying the most sensitive three-parameter combination out of 11. Subsequently, we conduct a tuning process aimed at reducing output errors in these cases.
Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng
Geosci. Model Dev., 17, 3897–3918, https://doi.org/10.5194/gmd-17-3897-2024, https://doi.org/10.5194/gmd-17-3897-2024, 2024
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This study uses the CAM5–SIT coupled model to investigate the effects of SST feedback frequency on the MJO simulations with intervals at 30 min, 1, 3, 6, 12, 18, 24, and 30 d. The simulations become increasingly unrealistic as the frequency of the SST feedback decreases. Our results suggest that more spontaneous air--sea interaction (e.g., ocean response within 3 d in this study) with high vertical resolution in the ocean model is key to the realistic simulation of the MJO.
Jiwoo Lee, Peter J. Gleckler, Min-Seop Ahn, Ana Ordonez, Paul A. Ullrich, Kenneth R. Sperber, Karl E. Taylor, Yann Y. Planton, Eric Guilyardi, Paul Durack, Celine Bonfils, Mark D. Zelinka, Li-Wei Chao, Bo Dong, Charles Doutriaux, Chengzhu Zhang, Tom Vo, Jason Boutte, Michael F. Wehner, Angeline G. Pendergrass, Daehyun Kim, Zeyu Xue, Andrew T. Wittenberg, and John Krasting
Geosci. Model Dev., 17, 3919–3948, https://doi.org/10.5194/gmd-17-3919-2024, https://doi.org/10.5194/gmd-17-3919-2024, 2024
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We introduce an open-source software, the PCMDI Metrics Package (PMP), developed for a comprehensive comparison of Earth system models (ESMs) with real-world observations. Using diverse metrics evaluating climatology, variability, and extremes simulated in thousands of simulations from the Coupled Model Intercomparison Project (CMIP), PMP aids in benchmarking model improvements across generations. PMP also enables efficient tracking of performance evolutions during ESM developments.
Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, and Yongyun Hu
Geosci. Model Dev., 17, 3949–3974, https://doi.org/10.5194/gmd-17-3949-2024, https://doi.org/10.5194/gmd-17-3949-2024, 2024
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Compared to the silicate weathering fluxes measured at large river basins, the current models tend to systematically overestimate the fluxes over the tropical region, which leads to an overestimation of the global total weathering flux. The most possible cause of such bias is found to be the overestimation of tropical surface erosion, which indicates that the tropical vegetation likely slows down physical erosion significantly. We propose a way of taking this effect into account in models.
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024, https://doi.org/10.5194/gmd-17-3801-2024, 2024
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All accurate climate models use equations with poorly defined parameters, where knobs for the parameters are turned to fit the observations. This process is called tuning. In this article, we use another paradigm. We use a thermodynamic hypothesis, the maximum entropy production, to compute temperatures, energy fluxes, and precipitation, where tuning is impossible. For now, the 1D vertical model is used for a tropical atmosphere. The correct order of magnitude of precipitation is computed.
Sarah Schöngart, Lukas Gudmundsson, Mathias Hauser, Peter Pfleiderer, Quentin Lejeune, Shruti Nath, Sonia Isabelle Seneviratne, and Carl-Friedrich Schleußner
EGUsphere, https://doi.org/10.5194/egusphere-2024-278, https://doi.org/10.5194/egusphere-2024-278, 2024
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Precipitation and temperature are two of the most impact-relevant climatic variables. Their joint distribution largely determines the division into climate regimes. Yet, projecting precipitation and temperature data under different emission scenarios relies on complex models that are computationally expensive. In this study, we propose a method that allows to generate monthly means of local precipitation and temperature at low computational costs.
Jishi Zhang, Peter Bogenschutz, Qi Tang, Philip Cameron-smith, and Chengzhu Zhang
Geosci. Model Dev., 17, 3687–3731, https://doi.org/10.5194/gmd-17-3687-2024, https://doi.org/10.5194/gmd-17-3687-2024, 2024
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We developed a regionally refined climate model that allows resolved convection and performed a 20-year projection to the end of the century. The model has a resolution of 3.25 km in California, which allows us to predict climate with unprecedented accuracy, and a resolution of 100 km for the rest of the globe to achieve efficient, self-consistent simulations. The model produces superior results in reproducing climate patterns over California that typical modern climate models cannot resolve.
Xiaohui Zhong, Xing Yu, and Hao Li
Geosci. Model Dev., 17, 3667–3685, https://doi.org/10.5194/gmd-17-3667-2024, https://doi.org/10.5194/gmd-17-3667-2024, 2024
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In order to forecast localized warm-sector rainfall in the south China region, numerical weather prediction models are being run with finer grid spacing. The conventional convection parameterization (CP) performs poorly in the gray zone, necessitating the development of a scale-aware scheme. We propose a machine learning (ML) model to replace the scale-aware CP scheme. Evaluation against the original CP scheme has shown that the ML-based CP scheme can provide accurate and reliable predictions.
Taufiq Hassan, Kai Zhang, Jianfeng Li, Balwinder Singh, Shixuan Zhang, Hailong Wang, and Po-Lun Ma
Geosci. Model Dev., 17, 3507–3532, https://doi.org/10.5194/gmd-17-3507-2024, https://doi.org/10.5194/gmd-17-3507-2024, 2024
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Anthropogenic aerosol emissions are an essential part of global aerosol models. Significant errors can exist from the loss of emission heterogeneity. We introduced an emission treatment that significantly improved aerosol emission heterogeneity in high-resolution model simulations, with improvements in simulated aerosol surface concentrations. The emission treatment will provide a more accurate representation of aerosol emissions and their effects on climate.
Feng Zhu, Julien Emile-Geay, Gregory J. Hakim, Dominique Guillot, Deborah Khider, Robert Tardif, and Walter A. Perkins
Geosci. Model Dev., 17, 3409–3431, https://doi.org/10.5194/gmd-17-3409-2024, https://doi.org/10.5194/gmd-17-3409-2024, 2024
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Climate field reconstruction encompasses methods that estimate the evolution of climate in space and time based on natural archives. It is useful to investigate climate variations and validate climate models, but its implementation and use can be difficult for non-experts. This paper introduces a user-friendly Python package called cfr to make these methods more accessible, thanks to the computational and visualization tools that facilitate efficient and reproducible research on past climates.
Rose V. Palermo, J. Taylor Perron, Jason M. Soderblom, Samuel P. D. Birch, Alexander G. Hayes, and Andrew D. Ashton
Geosci. Model Dev., 17, 3433–3445, https://doi.org/10.5194/gmd-17-3433-2024, https://doi.org/10.5194/gmd-17-3433-2024, 2024
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Models of rocky coastal erosion help us understand the controls on coastal morphology and evolution. In this paper, we present a simplified model of coastline erosion driven by either uniform erosion where coastline erosion is constant or wave-driven erosion where coastline erosion is a function of the wave power. This model can be used to evaluate how coastline changes reflect climate, sea-level history, material properties, and the relative influence of different erosional processes.
Safae Oumami, Joaquim Arteta, Vincent Guidard, Pierre Tulet, and Paul David Hamer
Geosci. Model Dev., 17, 3385–3408, https://doi.org/10.5194/gmd-17-3385-2024, https://doi.org/10.5194/gmd-17-3385-2024, 2024
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In this paper, we coupled the SURFEX and MEGAN models. The aim of this coupling is to improve the estimation of biogenic fluxes by using the SURFEX canopy environment model. The coupled model results were validated and several sensitivity tests were performed. The coupled-model total annual isoprene flux is 442 Tg; this value is within the range of other isoprene estimates reported. The ultimate aim of this coupling is to predict the impact of climate change on biogenic emissions.
Lars Ackermann, Thomas Rackow, Kai Himstedt, Paul Gierz, Gregor Knorr, and Gerrit Lohmann
Geosci. Model Dev., 17, 3279–3301, https://doi.org/10.5194/gmd-17-3279-2024, https://doi.org/10.5194/gmd-17-3279-2024, 2024
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We present long-term simulations with interactive icebergs in the Southern Ocean. By melting, icebergs reduce the temperature and salinity of the surrounding ocean. In our simulations, we find that this cooling effect of iceberg melting is not limited to the surface ocean but also reaches the deep ocean and propagates northward into all ocean basins. Additionally, the formation of deep-water masses in the Southern Ocean is enhanced.
Nanhong Xie, Tijian Wang, Xiaodong Xie, Xu Yue, Filippo Giorgi, Qian Zhang, Danyang Ma, Rong Song, Beiyao Xu, Shu Li, Bingliang Zhuang, Mengmeng Li, Min Xie, Natalya Andreeva Kilifarska, Georgi Gadzhev, and Reneta Dimitrova
Geosci. Model Dev., 17, 3259–3277, https://doi.org/10.5194/gmd-17-3259-2024, https://doi.org/10.5194/gmd-17-3259-2024, 2024
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For the first time, we coupled a regional climate chemistry model, RegCM-Chem, with a dynamic vegetation model, YIBs, to create a regional climate–chemistry–ecology model, RegCM-Chem–YIBs. We applied it to simulate climatic, chemical, and ecological parameters in East Asia and fully validated it on a variety of observational data. Results show that RegCM-Chem–YIBs model is a valuable tool for studying the terrestrial carbon cycle, atmospheric chemistry, and climate change on a regional scale.
Ha Thi Minh Ho-Hagemann, Vera Maurer, Stefan Poll, and Irina Fast
EGUsphere, https://doi.org/10.5194/egusphere-2024-923, https://doi.org/10.5194/egusphere-2024-923, 2024
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The regional Earth system model GCOAST-AHOI version 2.0 including the regional climate model ICON-CLM coupled with the ocean model NEMO and the hydrological discharge model HD via the OASIS3-MCT coupler can be a useful tool for conducting long-term regional climate simulations over the EURO-CORDEX domain. The new OASIS3-MCT coupling interface implemented in the ICON-CLM model makes it more flexible to couple with an external ocean model and an external hydrological discharge model.
Bryce E. Harrop, Jian Lu, L. Ruby Leung, William K. M. Lau, Kyu-Myong Kim, Brian Medeiros, Brian J. Soden, Gabriel A. Vecchi, Bosong Zhang, and Balwinder Singh
Geosci. Model Dev., 17, 3111–3135, https://doi.org/10.5194/gmd-17-3111-2024, https://doi.org/10.5194/gmd-17-3111-2024, 2024
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Seven new experimental setups designed to interfere with cloud radiative heating have been added to the Energy Exascale Earth System Model (E3SM). These experiments include both those that test the mean impact of cloud radiative heating and those examining its covariance with circulations. This paper documents the code changes and steps needed to run these experiments. Results corroborate prior findings for how cloud radiative heating impacts circulations and rainfall patterns.
Mario C. Acosta, Sergi Palomas, Stella V. Paronuzzi Ticco, Gladys Utrera, Joachim Biercamp, Pierre-Antoine Bretonniere, Reinhard Budich, Miguel Castrillo, Arnaud Caubel, Francisco Doblas-Reyes, Italo Epicoco, Uwe Fladrich, Sylvie Joussaume, Alok Kumar Gupta, Bryan Lawrence, Philippe Le Sager, Grenville Lister, Marie-Pierre Moine, Jean-Christophe Rioual, Sophie Valcke, Niki Zadeh, and Venkatramani Balaji
Geosci. Model Dev., 17, 3081–3098, https://doi.org/10.5194/gmd-17-3081-2024, https://doi.org/10.5194/gmd-17-3081-2024, 2024
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We present a collection of performance metrics gathered during the Coupled Model Intercomparison Project Phase 6 (CMIP6), a worldwide initiative to study climate change. We analyse the metrics that resulted from collaboration efforts among many partners and models and describe our findings to demonstrate the utility of our study for the scientific community. The research contributes to understanding climate modelling performance on the current high-performance computing (HPC) architectures.
Sabine Doktorowski, Jan Kretzschmar, Johannes Quaas, Marc Salzmann, and Odran Sourdeval
Geosci. Model Dev., 17, 3099–3110, https://doi.org/10.5194/gmd-17-3099-2024, https://doi.org/10.5194/gmd-17-3099-2024, 2024
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Especially over the midlatitudes, precipitation is mainly formed via the ice phase. In this study we focus on the initial snow formation process in the ICON-AES, the aggregation process. We use a stochastical approach for the aggregation parameterization and investigate the influence in the ICON-AES. Therefore, a distribution function of cloud ice is created, which is evaluated with satellite data. The new approach leads to cloud ice loss and an improvement in the process rate bias.
Katie R. Blackford, Matthew Kasoar, Chantelle Burton, Eleanor Burke, Iain Colin Prentice, and Apostolos Voulgarakis
Geosci. Model Dev., 17, 3063–3079, https://doi.org/10.5194/gmd-17-3063-2024, https://doi.org/10.5194/gmd-17-3063-2024, 2024
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Peatlands are globally important stores of carbon which are being increasingly threatened by wildfires with knock-on effects on the climate system. Here we introduce a novel peat fire parameterization in the northern high latitudes to the INFERNO global fire model. Representing peat fires increases annual burnt area across the high latitudes, alongside improvements in how we capture year-to-year variation in burning and emissions.
Pengfei Shi, L. Ruby Leung, Bin Wang, Kai Zhang, Samson M. Hagos, and Shixuan Zhang
Geosci. Model Dev., 17, 3025–3040, https://doi.org/10.5194/gmd-17-3025-2024, https://doi.org/10.5194/gmd-17-3025-2024, 2024
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Improving climate predictions have profound socio-economic impacts. This study introduces a new weakly coupled land data assimilation (WCLDA) system for a coupled climate model. We demonstrate improved simulation of soil moisture and temperature in many global regions and throughout the soil layers. Furthermore, significant improvements are also found in reproducing the time evolution of the 2012 US Midwest drought. The WCLDA system provides the groundwork for future predictability studies.
Justin Peter, Elisabeth Vogel, Wendy Sharples, Ulrike Bende-Michl, Louise Wilson, Pandora Hope, Andrew Dowdy, Greg Kociuba, Sri Srikanthan, Vi Co Duong, Jake Roussis, Vjekoslav Matic, Zaved Khan, Alison Oke, Margot Turner, Stuart Baron-Hay, Fiona Johnson, Raj Mehrotra, Ashish Sharma, Marcus Thatcher, Ali Azarvinand, Steven Thomas, Ghyslaine Boschat, Chantal Donnelly, and Robert Argent
Geosci. Model Dev., 17, 2755–2781, https://doi.org/10.5194/gmd-17-2755-2024, https://doi.org/10.5194/gmd-17-2755-2024, 2024
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We detail the production of datasets and communication to end users of high-resolution projections of rainfall, runoff, and soil moisture for the entire Australian continent. This is important as previous projections for Australia were for small regions and used differing techniques for their projections, making comparisons difficult across Australia's varied climate zones. The data will be beneficial for research purposes and to aid adaptation to climate change.
Daniele Visioni, Alan Robock, Jim Haywood, Matthew Henry, Simone Tilmes, Douglas G. MacMartin, Ben Kravitz, Sarah J. Doherty, John Moore, Chris Lennard, Shingo Watanabe, Helene Muri, Ulrike Niemeier, Olivier Boucher, Abu Syed, Temitope S. Egbebiyi, Roland Séférian, and Ilaria Quaglia
Geosci. Model Dev., 17, 2583–2596, https://doi.org/10.5194/gmd-17-2583-2024, https://doi.org/10.5194/gmd-17-2583-2024, 2024
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This paper describes a new experimental protocol for the Geoengineering Model Intercomparison Project (GeoMIP). In it, we describe the details of a new simulation of sunlight reflection using the stratospheric aerosols that climate models are supposed to run, and we explain the reasons behind each choice we made when defining the protocol.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-362, https://doi.org/10.5194/egusphere-2024-362, 2024
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In this study, we improve an existing climate model to account for human water usage across domestic, industrial, and agriculture purposes. With the new capabilities, the model is now better equipped for studying questions related to water scarcity in both present and future conditions under climate change. Despite the advancements, there remains important limitations in our modelling framework which requires further work.
Jose Rafael Guarin, Jonas Jägermeyr, Elizabeth A. Ainsworth, Fabio A. A. Oliveira, Senthold Asseng, Kenneth Boote, Joshua Elliott, Lisa Emberson, Ian Foster, Gerrit Hoogenboom, David Kelly, Alex C. Ruane, and Katrina Sharps
Geosci. Model Dev., 17, 2547–2567, https://doi.org/10.5194/gmd-17-2547-2024, https://doi.org/10.5194/gmd-17-2547-2024, 2024
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The effects of ozone (O3) stress on crop photosynthesis and leaf senescence were added to maize, rice, soybean, and wheat crop models. The modified models reproduced growth and yields under different O3 levels measured in field experiments and reported in the literature. The combined interactions between O3 and additional stresses were reproduced with the new models. These updated crop models can be used to simulate impacts of O3 stress under future climate change and air pollution scenarios.
Jiachen Lu, Negin Nazarian, Melissa Anne Hart, E. Scott Krayenhoff, and Alberto Martilli
Geosci. Model Dev., 17, 2525–2545, https://doi.org/10.5194/gmd-17-2525-2024, https://doi.org/10.5194/gmd-17-2525-2024, 2024
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This study enhances urban canopy models by refining key assumptions. Simulations for various urban scenarios indicate discrepancies in turbulent transport efficiency for flow properties. We propose two modifications that involve characterizing diffusion coefficients for momentum and turbulent kinetic energy separately and introducing a physics-based
mass-fluxterm. These adjustments enhance the model's performance, offering more reliable temperature and surface flux estimates.
Justin L. Willson, Kevin A. Reed, Christiane Jablonowski, James Kent, Peter H. Lauritzen, Ramachandran Nair, Mark A. Taylor, Paul A. Ullrich, Colin M. Zarzycki, David M. Hall, Don Dazlich, Ross Heikes, Celal Konor, David Randall, Thomas Dubos, Yann Meurdesoif, Xi Chen, Lucas Harris, Christian Kühnlein, Vivian Lee, Abdessamad Qaddouri, Claude Girard, Marco Giorgetta, Daniel Reinert, Hiroaki Miura, Tomoki Ohno, and Ryuji Yoshida
Geosci. Model Dev., 17, 2493–2507, https://doi.org/10.5194/gmd-17-2493-2024, https://doi.org/10.5194/gmd-17-2493-2024, 2024
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Accurate simulation of tropical cyclones (TCs) is essential to understanding their behavior in a changing climate. One way this is accomplished is through model intercomparison projects, where results from multiple climate models are analyzed to provide benchmark solutions for the wider climate modeling community. This study describes and analyzes the previously developed TC test case for nine climate models in an intercomparison project, providing solutions that aid in model development.
Maximillian Van Wyk de Vries, Tom Matthews, L. Baker Perry, Nirakar Thapa, and Rob Wilby
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-36, https://doi.org/10.5194/gmd-2024-36, 2024
Revised manuscript accepted for GMD
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This paper introduces the AtsMOS workflow, a new tool for improving weather forecasts in mountainous areas. By combining advanced statistical techniques with local weather data, AtsMOS can provide more accurate predictions of weather conditions. Using data from Mount Everest as an example, AtsMOS has shown promise in better forecasting hazardous weather conditions, making it a valuable tool for communities in mountainous regions and beyond.
Sofia Allende, Anne Marie Treguier, Camille Lique, Clément de Boyer Montégut, François Massonnet, Thierry Fichefet, and Antoine Barthélemy
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-49, https://doi.org/10.5194/gmd-2024-49, 2024
Revised manuscript accepted for GMD
Short summary
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We study the parameters involved in the turbulent kinetic energy mixed layer penetration scheme of the NEMO model in Arctic sea ice-covered regions. This evaluation reveals the impact of these parameters on mixed layer depth, sea surface temperature and salinity, and ocean stratification. Our findings also demonstrate considerable impacts on sea ice thickness and sea ice concentration, emphasizing the importance of accurate ocean mixing representation in understanding Arctic climate dynamics.
Cited articles
Billups, K. and Schrag, D. P.: Paleotemperatures and ice volume of the past
27 Myr revisited with paired Mg ∕ Ca and 18O/16O measurements
on benthic foraminifera, Paleoceanography, 17, 1003,
https://doi.org/10.1029/2000PA000567, 2002.
Billups, K. and Schrag, D. P.: Application of benthic foraminiferal
Mg ∕ Ca ratios to questions of Cenozoic climate change, Earth Planet. Sc.
Lett., 209, 181–195, https://doi.org/10.1016/S0012-821X(03)00067-0, 2003.
Bonan, G. B.: A Land Surface Model (LSM Version 1.0) for Ecological,
Hydrological, and Atmospheric Studies: Technical Description and User's
Guide, NCAR Technical Note NCAR/TN–417+STR, National Center for
Atmospheric Research, Boulder, Colorado, 1–150, https://doi.org/10.5065/D6DF6P5X, 1996.
Bonan, G. B., Levis, S., Kergoat, L., and Oleson, K. W.: Landscapes as
patches of plant functional types: An integrating concept for climate and
ecosystem models, Global Biogeochem. Cy., 16, 1021, https://doi.org/10.1029/2000GB001360,
2002.
Collins, W. D., Bitz, C. M., Blackmon, M. L., Bonan, G. B., Bretherton, C.S.,
Carton, J. A., Chang, P., Doney, S. C., Hack, J. J., Henderson, T. B., Kiehl,
J. T., Large, W. G., McKenna, D. S., Santer, B. D., and Smith, R. D.: The
Community Climate System Model Version 3 (CCSM3), J. Climate, 19, 2122–2143,
https://doi.org/10.1175/JCLI3761.1, 2006.
De Boer, B., Van De Wal, R. S. W., Bintanja, R., Lourens, L. J., and Tuenter,
E.: Cenozoic global ice-volume and temperature simulations with 1-D ice-sheet
models forced by benthic δ18O records, Ann. Glaciol., 51, 23–33,
https://doi.org/10.3189/172756410791392736, 2010.
DeConto, R. M., Pollard, D., Wilson, P. A., Paelike, H., Lear, C. H., and
Pagani, M.: Thresholds for Cenozoic bipolar glaciation, Nature, 455,
652–656, https://doi.org/10.1038/nature07337, 2008.
Duque-Caro, H.: Neogene stratigraphy, paleoceanography and paleobiogeography
in northwest South America and the evolution of the Panama seaway,
Palaeogeogr. Palaeocl., 77, 203–234, https://doi.org/10.1016/0031-0182(90)90178-A, 1990.
Fairbanks, R. G. and Matthews, R. K.: The marine oxygen isotope record in
Pleistocene coral, Barbados, West Indies, Quat. Res., 10, 181–196,
https://doi.org/10.1016/0033-5894(78)90100-X, 1978.
Flower, B. P. and Kennett, J. P.: The middle Miocene climatic transition:
East Antarctic ice sheet development, deep ocean circulation and global
carbon cycling, Palaeogeogr. Palaeocl., 108, 537–555,
https://doi.org/10.1016/0031-0182(94)90251-8, 1994.
Foster, G. L., Lear, C. H., and Rae, J. W. B.: The evolution of pCO2,
ice volume and climate during the middle Miocene, Earth Planet. Sc. Lett.,
341–344, 243–254, https://doi.org/10.1016/j.epsl.2012.06.007, 2012.
Gasson, E., DeConto, R. M., Pollard, D., and Levy, R. H.: Dynamic Antarctic
ice sheet during the early to mid-Miocene, P. Natl. Acad. Sci. USA, 113,
3459–3464, https://doi.org/10.1073/pnas.1516130113, 2016.
Ghosh, P., Garzione, C. N., and Eiler, J. M.: Rapid Uplift of the Altiplano
Revealed Through 13C–18O Bonds in Paleosol Carbonates, Science,
311, 511–515, https://doi.org/10.1126/science.1119365, 2006.
Gordon, A. L., Giulivi, C. F., and Ilahude, A. G.: Deep topographic barriers
within the Indonesian seas, Deep-Sea Res. Pt. II, 50, 2205–2228,
https://doi.org/10.1016/S0967-0645(03)00053-5, 2003.
Greenop, R., Foster, G. L., Wilson, P. A., and Lear, C. H.: Middle Miocene
climate instability associated with high-amplitude CO2 variability,
Paleoceanography, 29, 845–853, https://doi.org/10.1002/2014PA002653, 2014.
Groeneveld, J., Henderiks, J., Renema, W., McHugh, C. M., De Vleeschouwer,
D., Christensen, B. A., Fulthorpe, C. S., Reuning, L., Gallagher, S. J.,
Bogus, K., Auer, G., Ishiwa, T., and Expedition 356 Scientists: Australian
shelf sediments reveal shifts in Miocene Southern Hemisphere westerlies, Sci.
Adv., 3, 1–9, https://doi.org/10.1126/sciadv.1602567, 2017.
Hall, R.: Sundaland and Wallacea: geology, plate tectonics and
palaeogeography, in: Biotic Evolution and Environmental Change in Southeast
Asia, edited by: Gower, D. J., Richardson, J. E., Rosen, B. R., Rueber, L.,
and Williams, S. T., Cambridge University Press, 32–78, 2012.
Hamon, N., Sepulchre, P., Lefebvre, V., and Ramstein, G.: The role of eastern
Tethys seaway closure in the Middle Miocene Climatic Transition (ca. 14 Ma),
Clim. Past, 9, 2687–2702, https://doi.org/10.5194/cp-9-2687-2013, 2013.
Haq, B. U., Hardenbol, J., and Vail, P. R.: Chronology of Fluctuating Sea
Levels Since the Triassic, Science, 235, 1156–1167,
https://doi.org/10.1126/science.235.4793.1156, 1987.
Henrot, A.-J., Utescher, T., Erdei, B., Dury, M., Hamon, N., Ramstein, G.,
Krapp, M., Herold, N., Goldner, A., Favre, E., Munhoven, G., and
François, L.: Middle Miocene climate and vegetation models and their
validation with proxy data, Palaeogeogr. Palaeocl., 467, 95–119,
https://doi.org/10.1016/j.palaeo.2016.05.026, 2017.
Herold, N., Seton, M., Müller, R. D., You, Y., and Huber, M.: Middle
Miocene tectonic boundary conditions for use in climate models, Geochem.
Geophy. Geosy., 9, Q10009, https://doi.org/10.1029/2008GC002046, 2008.
Herold, N., Müller, R., and Seton, M.: Comparing early to middle Miocene
terrestrial climate simulations with geological data, Geosphere, 6, 952–961,
https://doi.org/10.1130/GES00544.1, 2010.
Herold, N., Huber, M., and Müller, R. D.: Modeling the miocene climatic
optimum. Part I: Land and atmosphere, J. Climate, 24, 6353–6372,
https://doi.org/10.1175/2011JCLI4035.1, 2011.
Herold, N., Huber, M., Müller, R. D., and Seton, M.: Modeling the Miocene
climatic optimum: Ocean circulation, Paleoceanography, 27, PA1209,
https://doi.org/10.1029/2010PA002041, 2012.
Holbourn, A., Kuhnt, W., Schulz, M., and Erlenkeuser, H.: Impacts of orbital
forcing and atmospheric carbon dioxide on Miocene ice-sheet expansion,
Nature, 438, 483–487, https://doi.org/10.1038/nature04123, 2005.
Holbourn, A., Kuhnt, W., Schulz, M., Flores, J. A., and Andersen, N.:
Orbitally-paced climate evolution during the middle Miocene “Monterey”
carbon-isotope excursion, Earth Planet. Sc. Lett., 261, 534–550,
https://doi.org/10.1016/j.epsl.2007.07.026, 2007.
Holbourn, A., Kuhnt, W., Regenberg, M., Schulz, M., Mix, A., and Andersen,
N.: Does Antarctic glaciation force migration of the tropical rain belt?,
Geology, 38, 783–786, https://doi.org/10.1130/G31043.1, 2010.
John, C. M., Karner, G. D., Browning, E., Leckie, R. M., Mateo, Z., Carson,
B., and Lowery, C.: Timing and magnitude of Miocene eustasy derived from the
mixed siliciclastic-carbonate stratigraphic record of the northeastern
Australian margin, Earth Planet. Sc. Lett., 304, 455–467,
https://doi.org/10.1016/j.epsl.2011.02.013, 2011.
Jung, G., Prange, M., and Schulz, M.: Influence of topography on tropical
African vegetation coverage, Clim. Dynam., 46, 2535–2549,
https://doi.org/10.1007/s00382-015-2716-9, 2016.
Kaplan, J. O.: Geophysical Applications of Vegetation Modeling, PhD thesis,
Lund University, Lund, 128 pp., 2001.
Kiehl, J. T., Shields, C. A., Hack, J. J., and Collins, W. D.: The Climate
Sensitivity of the Community Climate System Model Version 3 (CCSM3), J.
Climate, 19, 2584–2596, https://doi.org/10.1175/JCLI3747.1, 2006.
Knorr, G. and Lohmann, G.: Climate warming during Antarctic ice sheet
expansion at the Middle Miocene transition, Nat. Geosci., 7, 376–381,
https://doi.org/10.1038/ngeo2119, 2014.
Knorr, G., Butzin, M., Micheels, A., and Lohmann, G.: A warm Miocene climate
at low atmospheric CO2 levels, Geophys. Res. Lett., 38, L20701,
https://doi.org/10.1029/2011GL048873, 2011.
Kominz, M. A., Browning, J. V., Miller, K. G., Sugarman, P. J., Mizintseva,
S., and Scotese, C. R.: Late Cretaceous to Miocene sea-level estimates from
the New Jersey and Delaware coastal plain coreholes: An error analysis, Basin
Res., 20, 211–226, https://doi.org/10.1111/j.1365-2117.2008.00354.x, 2008.
Krapp, M. and Jungclaus, J. H.: The Middle Miocene climate as modelled in an
atmosphere–ocean–biosphere model, Clim. Past, 7, 1169–1188,
https://doi.org/10.5194/cp-7-1169-2011, 2011.
Kürschner, W. M., Kvacek, Z., and Dilcher, D. L.: The impact of Miocene
atmospheric carbon dioxide fluctuations on climate and the evolution of
terrestrial ecosystems, P. Natl. Acad. Sci. USA, 105, 449–453,
https://doi.org/10.1073/pnas.0708588105, 2008.
Kuhnt, W., Holbourn, A., Hall, R., Zuvela, M., and Kaese, R.: Neogene history
of the Indonesian Throughflow, in: Continent-Ocean Interactions Within East
Asia Marginal Seas, edited by: Clift, P., Kuhnt, W., Wang, P., and Hayes, D.,
Geoph. Monog. Series, 149, 299–320, https://doi.org/10.1029/149GM16, 2004.
Langebroek, P. M., Paul, A., and Schulz, M.: Antarctic ice-sheet response to
atmospheric CO2 and insolation in the Middle Miocene, Clim. Past, 5,
633–646, https://doi.org/10.5194/cp-5-633-2009, 2009.
Langebroek, P. M., Paul, A., and Schulz, M.: Simulating the sea level imprint
on marine oxygen isotope records during the middle Miocene using an ice
sheet-climate model, Paleoceanography, 25, PA4203, https://doi.org/10.1029/2008PA001704,
2010.
Laskar, J., Robutel, P., Joutel, F., Gastineau, M., Correia, A. C. M., and
Levrard, B.: A long term numerical solution for the insolation quantities of
the Earth, Astron. Astrophys., 428, 261–285, https://doi.org/10.1051/0004-6361:20041335,
2004.
Lear, C. H., Elderfield, H., and Wilson, P. A.: Cenozoic Deep-Sea
Temperatures and Global Ice Volumes from Mg ∕ Ca in Benthic Foraminiferal
Calcite, Science, 287, 269–272, https://doi.org/10.1126/science.287.5451.269, 2000.
Lear, C. H., Mawbey, E. M., and Rosenthal, Y.: Cenozoic benthic foraminiferal
Mg ∕ Ca and Li ∕ Ca records: Toward unlocking temperatures and
saturation states, Paleoceanography, 25, PA4125, https://doi.org/10.1029/2009PA001880,
2010.
Le Brocq, A. M., Payne, A. J., and Vieli, A.: An improved Antarctic dataset
for high resolution numerical ice sheet models (ALBMAP v1), Earth Syst. Sci.
Data, 2, 247–260, https://doi.org/10.5194/essd-2-247-2010, 2010.
Levy, R., Harwood, D., Florindo, F., Sangiorgi, F., Tripati, R., von
Eynatten, H., Gasson, E., Kuhn, G., Tripati, A., DeConto, R., Fielding, C.,
Field, B., Golledge, N., McKay, R., Naish, T., Olney, M., Pollard, D.,
Schouten, S., Talarico, F., Warny, S., Willmott, V., Acton, G., Panter, K.,
Paulsen, T., Taviani, M., and SMS Science Team: Antarctic ice sheet
sensitivity to atmospheric CO2 variations in the early to mid-Miocene,
P. Natl. Acad. Sci. USA, 113, 3453–3458, https://doi.org/10.1073/pnas.1516030113, 2016.
Lewis, A. R., Marchant, D. R., Ashworth, A. C., Hemming, S. R., and Machlus,
M. L.: Major middle Miocene global climate change: Evidence from East
Antarctica and the Transantarctic Mountains, GSA Bulletin, 119, 1449–1461,
https://doi.org/10.1130/B26134.1, 2007.
Miller, K. G., Fairbanks, R. G., and Mountain, G. S.: Tertiary oxygen isotope
synthesis, sea level history, and continental margin erosion,
Paleoceanography, 2, 1–19, https://doi.org/10.1029/PA002i001p00001, 1987.
Montes, C., Cardona, A., McFadden, R., Moron, S. E., Silva, C. A.,
Restrepo-Moreno, S., Ramirez, D. A., Hoyos, N., Wilson, J., Farris, D.,
Bayona, G. A., Jaramillo, C. A., Valencia, V., Bryan, J., and Flores, J. A.:
Evidence for middle Eocene and younger land emergence in central Panama:
Implications for Isthmus closure, GSA Bulletin, 124, 780–799,
https://doi.org/10.1130/B30528.1, 2012.
Morley, R. J.: Cretaceous and Tertiary climate change and the past
distribution of megathermal rainforests, in: Tropical Rainforest Responses to
Climatic Change, edited by: Bush, M., Flenley, J., and Gosling, W., Springer
Praxis Books, Berlin, Heidelberg, 1–34, 2011.
Oerlemans, J.: Correcting the Cenozoic δ18O deep-sea temperature
record for Antarctic ice volume, Palaeogeogr. Palaeocl., 208, 195–205,
https://doi.org/10.1016/j.palaeo.2004.03.004, 2004.
Otto-Bliesner, B. L., Tomas, R., Brady, E. C., Ammann, C., Kothavala, Z., and
Clauzet, G.: Climate sensitivity of moderate and low resolution versions of
CCSM3 to preindustrial forcings, J. Climate, 19, 2567–2583,
https://doi.org/10.1175/JCLI3754.1, 2006.
Pagani, M., Zachos, J. C., Freeman, K. H., Tipple, B., and Bohaty, S.: Marked
Decline in Atmospheric Carbon Dioxide Concentrations During the Paleogene,
Science, 309, 600–603, https://doi.org/10.1126/science.1110063, 2005.
Pearson, P. N. and Palmer, M. R.: Atmospheric carbon dioxide concentrations
over the past 60 million years, Nature, 406, 695–699, https://doi.org/10.1038/35021000,
2000.
Pollard, D.: A retrospective look at coupled ice sheet–climate modeling,
Clim. Change, 100, 173–194, https://doi.org/10.1007/s10584-010-9830-9, 2010.
Pollard, D. and DeConto, R. M.: Description of a hybrid ice sheet-shelf
model, and application to Antarctica, Geosci. Model Dev., 5, 1273–1295,
https://doi.org/10.5194/gmd-5-1273-2012, 2012.
Pound, M. J., Haywood, A. M., Salzmann, U., and Riding, J. B.: Global
vegetation dynamics and latitudinal temperature gradients during the Mid to
Late Miocene (15.97–5.33 Ma), Earth-Sci. Rev., 112, 1–22,
https://doi.org/10.1016/j.earscirev.2012.02.005, 2012.
Ramstein, G., Fluteau, F., Besse, J., and Joussaume, S.: Effect of orogeny,
plate motion and land-sea distribution on Eurasian climate change over the
past 30 million years, Nature, 386, 788–795, https://doi.org/10.1038/386788a0, 1997.
Retallack, G. J.: Refining a pedogenic-carbonate CO2 paleobarometer to
quantify a middle Miocene greenhouse spike, Palaeogeogr. Palaeocl., 281,
57–65, https://doi.org/10.1016/j.palaeo.2009.07.011, 2009.
Rögl, F.: Mediterranean and Paratethys. Facts and hypotheses of an
Oligocene to Miocene paleogeography (short overview), Geol. Carpath., 50,
339–349, 1999.
Rosenbloom, N., Shields, C., Brady, E., Levis, S., and Yeager, S.: Using
CCSM3 for Paleoclimate Applications, NCAR Technical Note NCAR/TN–483+STR,
National Center for Atmospheric Research, Boulder, Colorado, 1–81,
https://doi.org/10.5065/D69S1P09, 2011.
Shevenell, A. E., Kennett, J. P., and Lea, D. W.: Middle Miocene Southern
Ocean Cooling and Antarctic Cryosphere Expansion, Science, 305, 1766–1770,
https://doi.org/10.1126/science.1100061, 2004.
Shevenell, A. E., Kennett, J. P., and Lea, D. W.: Middle Miocene ice sheet
dynamics, deep-sea temperatures, and carbon cycling: A Southern Ocean
perspective, Geochem. Geophy. Geosy., 9, Q02006, https://doi.org/10.1029/2007GC001736,
2008.
Thiede, J., Jessen, C., Knutz, P., Kuijpers, A., Mikkelsen, N.,
Nørgaard-Pedersen, N., and Spielhagen, R. F.: Millions of Years of
Greenland Ice Sheet History Recorded in Ocean Sediments, Polarforschung, 80,
141–159, 2011.
Tong, J. A., You, Y., Müller, R. D., and Seton, M.: Climate model
sensitivity to atmospheric CO2 concentrations for the middle Miocene,
Global Planet. Change, 67, 129–140, https://doi.org/10.1016/j.gloplacha.2009.02.001,
2009.
Tripati, A. K., Roberts, C. D., and Eagle, R. A.: Coupling of CO2 and
Ice Sheet Stability Over Major Climate Transitions of the Last 20 Million
Years, Science, 326, 1394–1397, https://doi.org/10.1126/science.1178296, 2009.
Vaughan, D. G., Comiso, J. C., Allison, I., Carrasco, J., Kaser, G., Kwok,
R., Mote, P., Murray, T., Paul, F., Ren, J., Rignot, E., Solomina, O.,
Steffen, K., and Zhang, T.: Observations: Cryosphere, in: Climate Change
2013: The Physical Science Basis, Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M., Allen, S.
K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, UK, New York, NY, USA, 317–382, 2013.
Wolfe, J. A.: Temperature parameters of humid to mesic forests of Eastern
Asia and relation to forests of other regions of the Northern Hemisphere and
Australasia, U.S. Geological Survey professional paper, 1106, 1–37, 1979.
Wolfe, J. A.: Distribution of major vegetational types during the Tertiary,
in: The carbon cycle and atmospheric CO2: natural variations Archean to
present, edited by: Sundquist, E. T. and Broecker, W. S., American
Geophysical Union Monograph, 32, 357–375, https://doi.org/10.1029/GM032p0357, 1985.
You, Y., Huber, M., Müller, R. D., Poulsen, C. J., and Ribbe, J.:
Simulation of the middle miocene climate optimum, Geophys. Res. Lett., 36,
L04702, https://doi.org/10.1029/2008GL036571, 2009.
Zachos, J., Pagani, M., Sloan, L., Thomas, E., and Billups, K.: Trends,
Rhythms, and Aberrations in Global Climate 65 Ma to Present, Science, 292,
686–693, https://doi.org/10.1126/science.1059412, 2001.
Zachos, J. C., Dickens, G. R., and Zeebe, R. E.: An early Cenozoic
perspective on greenhouse warming and carbon-cycle dynamics, Nature, 451,
279–283, https://doi.org/10.1038/nature06588, 2008.
Zhang, Y. G., Pagani, M., Liu, Z., Bohaty, S. M., and DeConto, R.: A
40-million-year history of atmospheric CO2, Philos. T. Roy. Soc. A, 371,
20130096, https://doi.org/10.1098/rsta.2013.0096, 2013.
Short summary
The application of climate models to study the Middle Miocene Climate Transition, characterized by major Antarctic ice-sheet expansion and global cooling at the interval 15–13 million years ago, is currently hampered by the lack of boundary conditions. To fill this gap, we compiled two internally consistent sets of boundary conditions, including global topography, bathymetry, vegetation and ice volume, for the periods before and after the transition.
The application of climate models to study the Middle Miocene Climate Transition, characterized...
