Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4159-2021
© Author(s) 2021. 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-14-4159-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
02 Jul 2021
Model evaluation paper |
| 02 Jul 2021
| 02 Jul 2021
The ENEA-REG system (v1.0), a multi-component regional Earth system model: sensitivity to different atmospheric components over the Med-CORDEX (Coordinated Regional Climate Downscaling Experiment) region
Italian National Agency for New Technologies, Energy and the
Environment (ENEA), Rome, Italy
Adriana Carillo
Italian National Agency for New Technologies, Energy and the
Environment (ENEA), Rome, Italy
Massimiliano Palma
Italian National Agency for New Technologies, Energy and the
Environment (ENEA), Rome, Italy
Maria Vittoria Struglia
Italian National Agency for New Technologies, Energy and the
Environment (ENEA), Rome, Italy
Ufuk Utku Turuncoglu
National Center for Atmospheric Research, Boulder, CO, USA
Gianmaria Sannino
Italian National Agency for New Technologies, Energy and the
Environment (ENEA), Rome, Italy
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We present the results of downscaling global climate projections for the Mediterranean and Italian regions aiming to produce high-resolution climate information for the assessment of climate change signals, focusing on extreme events. A general warming is foreseen by the end of century with a mean precipitation reduction accompanied, over Italian Peninsula, by a strong increase in the intensity of extreme precipitation events, particularly relevant for the high emissions scenario during autumn
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This study explores how sea surface energy influences both the atmosphere and ocean at various vertical levels during extreme Mediterranean cyclones. It focuses on cyclones' precipitation and wind speed response, as well as on ocean temperature variation. The analysis shows the effectiveness of the Regional Coupled Model in coherently representing the thermodynamic processes associated with extreme cyclones across both the atmosphere and the ocean.
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Hurricanes may worsen water quality in the lower Mississippi River basin (LMRB) by increasing nutrient runoff. We found that runoff parameterizations greatly affect nitrate–nitrogen runoff simulated using an Earth system land model. Our simulations predicted increased nitrogen runoff in the LMRB during Hurricane Ida in 2021, albeit less pronounced than the observations, indicating areas for model improvement to better understand and manage nutrient runoff loss during hurricanes in the region.
Giovanni Seijo-Ellis, Donata Giglio, Gustavo Marques, and Frank Bryan
Geosci. Model Dev., 17, 8989–9021, https://doi.org/10.5194/gmd-17-8989-2024, https://doi.org/10.5194/gmd-17-8989-2024, 2024
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A CESM–MOM6 regional configuration of the Caribbean Sea was developed in response to the rising need for high-resolution models for climate impact studies. The configuration is validated for the period 2000–2020 and improves significant errors in a low-resolution model. Oceanic properties are well represented. Patterns of freshwater associated with the Amazon River are well captured, and the mean flows of ocean waters across multiple passages in the Caribbean Sea agree with observations.
Deifilia To, Julian Quinting, Gholam Ali Hoshyaripour, Markus Götz, Achim Streit, and Charlotte Debus
Geosci. Model Dev., 17, 8873–8884, https://doi.org/10.5194/gmd-17-8873-2024, https://doi.org/10.5194/gmd-17-8873-2024, 2024
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Pangu-Weather is a breakthrough machine learning model in medium-range weather forecasting that considers 3D atmospheric information. We show that using a simpler 2D framework improves robustness, speeds up training, and reduces computational needs by 20 %–30 %. We introduce a training procedure that varies the importance of atmospheric variables over time to speed up training convergence. Decreasing computational demand increases the accessibility of training and working with the model.
Fang Li, Xiang Song, Sandy P. Harrison, Jennifer R. Marlon, Zhongda Lin, L. Ruby Leung, Jörg Schwinger, Virginie Marécal, Shiyu Wang, Daniel S. Ward, Xiao Dong, Hanna Lee, Lars Nieradzik, Sam S. Rabin, and Roland Séférian
Geosci. Model Dev., 17, 8751–8771, https://doi.org/10.5194/gmd-17-8751-2024, https://doi.org/10.5194/gmd-17-8751-2024, 2024
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This study provides the first comprehensive assessment of historical fire simulations from 19 Earth system models in phase 6 of the Coupled Model Intercomparison Project (CMIP6). Most models reproduce global totals, spatial patterns, seasonality, and regional historical changes well but fail to simulate the recent decline in global burned area and underestimate the fire response to climate variability. CMIP6 simulations address three critical issues of phase-5 models.
Seung H. Baek, Paul A. Ullrich, Bo Dong, and Jiwoo Lee
Geosci. Model Dev., 17, 8665–8681, https://doi.org/10.5194/gmd-17-8665-2024, https://doi.org/10.5194/gmd-17-8665-2024, 2024
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We evaluate downscaled products by examining locally relevant co-variances during precipitation events. Common statistical downscaling techniques preserve expected co-variances during convective precipitation (a stationary phenomenon). However, they dampen future intensification of frontal precipitation (a non-stationary phenomenon) captured in global climate models and dynamical downscaling. Our study quantifies a ramification of the stationarity assumption underlying statistical downscaling.
Emmanuel Nyenah, Petra Döll, Daniel S. Katz, and Robert Reinecke
Geosci. Model Dev., 17, 8593–8611, https://doi.org/10.5194/gmd-17-8593-2024, https://doi.org/10.5194/gmd-17-8593-2024, 2024
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Research software is vital for scientific progress but is often developed by scientists with limited skills, time, and funding, leading to challenges in usability and maintenance. Our study across 10 sectors shows strengths in version control, open-source licensing, and documentation while emphasizing the need for containerization and code quality. We recommend workshops; code quality metrics; funding; and following the findable, accessible, interoperable, and reusable (FAIR) standards.
Chris Smith, Donald P. Cummins, Hege-Beate Fredriksen, Zebedee Nicholls, Malte Meinshausen, Myles Allen, Stuart Jenkins, Nicholas Leach, Camilla Mathison, and Antti-Ilari Partanen
Geosci. Model Dev., 17, 8569–8592, https://doi.org/10.5194/gmd-17-8569-2024, https://doi.org/10.5194/gmd-17-8569-2024, 2024
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Climate projections are only useful if the underlying models that produce them are well calibrated and can reproduce observed climate change. We formalise a software package that calibrates the open-source FaIR simple climate model to full-complexity Earth system models. Observations, including historical warming, and assessments of key climate variables such as that of climate sensitivity are used to constrain the model output.
Jingwei Xie, Xi Wang, Hailong Liu, Pengfei Lin, Jiangfeng Yu, Zipeng Yu, Junlin Wei, and Xiang Han
Geosci. Model Dev., 17, 8469–8493, https://doi.org/10.5194/gmd-17-8469-2024, https://doi.org/10.5194/gmd-17-8469-2024, 2024
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We propose the concept of mesoscale ocean direct numerical simulation (MODNS), which should resolve the first baroclinic deformation radius and ensure the numerical dissipative effects do not directly contaminate the mesoscale motions. It can be a benchmark for testing mesoscale ocean large eddy simulation (MOLES) methods in ocean models. We build an idealized Southern Ocean model using MITgcm to generate a type of MODNS. We also illustrate the diversity of multiscale eddy interactions.
Emily Black, John Ellis, and Ross I. Maidment
Geosci. Model Dev., 17, 8353–8372, https://doi.org/10.5194/gmd-17-8353-2024, https://doi.org/10.5194/gmd-17-8353-2024, 2024
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We present General TAMSAT-ALERT, a computationally lightweight and versatile tool for generating ensemble forecasts from time series data. General TAMSAT-ALERT is capable of combining multiple streams of monitoring and meteorological forecasting data into probabilistic hazard assessments. In this way, it complements existing systems and enhances their utility for actionable hazard assessment.
Sarah Schöngart, Lukas Gudmundsson, Mathias Hauser, Peter Pfleiderer, Quentin Lejeune, Shruti Nath, Sonia Isabelle Seneviratne, and Carl-Friedrich Schleussner
Geosci. Model Dev., 17, 8283–8320, https://doi.org/10.5194/gmd-17-8283-2024, https://doi.org/10.5194/gmd-17-8283-2024, 2024
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Precipitation and temperature are two of the most impact-relevant climatic variables. Yet, projecting future 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 us to generate monthly means of local precipitation and temperature at low computational costs. Our modelling framework is particularly useful for all downstream applications of climate model data.
Gang Tang, Zebedee Nicholls, Chris Jones, Thomas Gasser, Alexander Norton, Tilo Ziehn, Alejandro Romero-Prieto, and Malte Meinshausen
EGUsphere, https://doi.org/10.5194/egusphere-2024-3522, https://doi.org/10.5194/egusphere-2024-3522, 2024
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We analyzed carbon and nitrogen mass conservation in data from CMIP6 Earth System Models. Our findings reveal significant discrepancies between flux and pool size data, particularly in nitrogen, where cumulative imbalances can reach hundreds of gigatons. These imbalances appear primarily due to missing or inconsistently reported fluxes – especially for land use and fire emissions. To enhance data quality, we recommend that future climate data protocols address this issue at the reporting stage.
Benjamin M. Sanderson, Ben B. B. Booth, John Dunne, Veronika Eyring, Rosie A. Fisher, Pierre Friedlingstein, Matthew J. Gidden, Tomohiro Hajima, Chris D. Jones, Colin G. Jones, Andrew King, Charles D. Koven, David M. Lawrence, Jason Lowe, Nadine Mengis, Glen P. Peters, Joeri Rogelj, Chris Smith, Abigail C. Snyder, Isla R. Simpson, Abigail L. S. Swann, Claudia Tebaldi, Tatiana Ilyina, Carl-Friedrich Schleussner, Roland Séférian, Bjørn H. Samset, Detlef van Vuuren, and Sönke Zaehle
Geosci. Model Dev., 17, 8141–8172, https://doi.org/10.5194/gmd-17-8141-2024, https://doi.org/10.5194/gmd-17-8141-2024, 2024
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We discuss how, in order to provide more relevant guidance for climate policy, coordinated climate experiments should adopt a greater focus on simulations where Earth system models are provided with carbon emissions from fossil fuels together with land use change instructions, rather than past approaches that have largely focused on experiments with prescribed atmospheric carbon dioxide concentrations. We discuss how these goals might be achieved in coordinated climate modeling experiments.
Peter Berg, Thomas Bosshard, Denica Bozhinova, Lars Bärring, Joakim Löw, Carolina Nilsson, Gustav Strandberg, Johan Södling, Johan Thuresson, Renate Wilcke, and Wei Yang
Geosci. Model Dev., 17, 8173–8179, https://doi.org/10.5194/gmd-17-8173-2024, https://doi.org/10.5194/gmd-17-8173-2024, 2024
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When bias adjusting climate model data using quantile mapping, one needs to prescribe what to do at the tails of the distribution, where a larger data range is likely encountered outside of the calibration period. The end result is highly dependent on the method used. We show that, to avoid discontinuities in the time series, one needs to exclude data in the calibration range to also activate the extrapolation functionality in that time period.
Philip J. Rasch, Haruki Hirasawa, Mingxuan Wu, Sarah J. Doherty, Robert Wood, Hailong Wang, Andy Jones, James Haywood, and Hansi Singh
Geosci. Model Dev., 17, 7963–7994, https://doi.org/10.5194/gmd-17-7963-2024, https://doi.org/10.5194/gmd-17-7963-2024, 2024
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We introduce a protocol to compare computer climate simulations to better understand a proposed strategy intended to counter warming and climate impacts from greenhouse gas increases. This slightly changes clouds in six ocean regions to reflect more sunlight and cool the Earth. Example changes in clouds and climate are shown for three climate models. Cloud changes differ between the models, but precipitation and surface temperature changes are similar when their cooling effects are made similar.
Trude Eidhammer, Andrew Gettelman, Katherine Thayer-Calder, Duncan Watson-Parris, Gregory Elsaesser, Hugh Morrison, Marcus van Lier-Walqui, Ci Song, and Daniel McCoy
Geosci. Model Dev., 17, 7835–7853, https://doi.org/10.5194/gmd-17-7835-2024, https://doi.org/10.5194/gmd-17-7835-2024, 2024
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We describe a dataset where 45 parameters related to cloud processes in the Community Earth System Model version 2 (CESM2) Community Atmosphere Model version 6 (CAM6) are perturbed. Three sets of perturbed parameter ensembles (263 members) were created: current climate, preindustrial aerosol loading and future climate with sea surface temperature increased by 4 K.
Ha Thi Minh Ho-Hagemann, Vera Maurer, Stefan Poll, and Irina Fast
Geosci. Model Dev., 17, 7815–7834, https://doi.org/10.5194/gmd-17-7815-2024, https://doi.org/10.5194/gmd-17-7815-2024, 2024
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The regional Earth system model GCOAST-AHOI v2.0 that includes the regional climate model ICON-CLM coupled to 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 ICON-CLM makes it more flexible for coupling to an external ocean model and an external hydrological discharge model.
Sandro Vattioni, Rahel Weber, Aryeh Feinberg, Andrea Stenke, John A. Dykema, Beiping Luo, Georgios A. Kelesidis, Christian A. Bruun, Timofei Sukhodolov, Frank N. Keutsch, Thomas Peter, and Gabriel Chiodo
Geosci. Model Dev., 17, 7767–7793, https://doi.org/10.5194/gmd-17-7767-2024, https://doi.org/10.5194/gmd-17-7767-2024, 2024
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We quantified impacts and efficiency of stratospheric solar climate intervention via solid particle injection. Microphysical interactions of solid particles with the sulfur cycle were interactively coupled to the heterogeneous chemistry scheme and the radiative transfer code of an aerosol–chemistry–climate model. Compared to injection of SO2 we only find a stronger cooling efficiency for solid particles when normalizing to the aerosol load but not when normalizing to the injection rate.
Ingo Richter, Ping Chang, Gokhan Danabasoglu, Dietmar Dommenget, Guillaume Gastineau, Aixue Hu, Takahito Kataoka, Noel Keenlyside, Fred Kucharski, Yuko Okumura, Wonsun Park, Malte Stuecker, Andrea Taschetto, Chunzai Wang, Stephen Yeager, and Sang-Wook Yeh
EGUsphere, https://doi.org/10.5194/egusphere-2024-3110, https://doi.org/10.5194/egusphere-2024-3110, 2024
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The tropical ocean basins influence each other through multiple pathways and mechanisms, here referred to as tropical basin interaction (TBI). Many researchers have examined TBI using comprehensive climate models, but have obtained conflicting results. This may be partly due to differences in experiment protocols, and partly due to systematic model errors. TBIMIP aims to address this problem by designing a set of TBI experiments that will be performed by multiple models.
Samuel Rémy, Swen Metzger, Vincent Huijnen, Jason E. Williams, and Johannes Flemming
Geosci. Model Dev., 17, 7539–7567, https://doi.org/10.5194/gmd-17-7539-2024, https://doi.org/10.5194/gmd-17-7539-2024, 2024
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In this paper we describe the development of the future operational cycle 49R1 of the IFS-COMPO system, used for operational forecasts of atmospheric composition in the CAMS project, and focus on the implementation of the thermodynamical model EQSAM4Clim version 12. The implementation of EQSAM4Clim significantly improves the simulated secondary inorganic aerosol surface concentration. The new aerosol and precipitation acidity diagnostics showed good agreement against observational datasets.
Maximillian Van Wyk de Vries, Tom Matthews, L. Baker Perry, Nirakar Thapa, and Rob Wilby
Geosci. Model Dev., 17, 7629–7643, https://doi.org/10.5194/gmd-17-7629-2024, https://doi.org/10.5194/gmd-17-7629-2024, 2024
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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., 17, 7445–7466, https://doi.org/10.5194/gmd-17-7445-2024, https://doi.org/10.5194/gmd-17-7445-2024, 2024
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We study the parameters of the turbulent-kinetic-energy mixed-layer-penetration scheme in the NEMO model with regard to sea-ice-covered regions of the Arctic Ocean. This evaluation reveals the impact of these parameters on mixed-layer depth, sea surface temperature and salinity, and ocean stratification. Our findings demonstrate significant impacts on sea ice thickness and sea ice concentration, emphasizing the need for accurately representing ocean mixing to understand Arctic climate dynamics.
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.
Florian Börgel, Sven Karsten, Karoline Rummel, and Ulf Gräwe
EGUsphere, https://doi.org/10.5194/egusphere-2024-2685, https://doi.org/10.5194/egusphere-2024-2685, 2024
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Forecasting river runoff, crucial for managing water resources and understanding climate impacts, can be challenging. This study introduces a new method using Convolutional Long Short-Term Memory (ConvLSTM) networks, a machine learning model that processes spatial and temporal data. Focusing on the Baltic Sea region, our model uses weather data as input to predict daily river runoff for 97 rivers.
Thi Nhu Ngoc Do, Kengo Sudo, Akihiko Ito, Louisa Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley
EGUsphere, https://doi.org/10.5194/egusphere-2024-2313, https://doi.org/10.5194/egusphere-2024-2313, 2024
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Understanding historical isoprene emission changes is important for predicting future climate, but trends and their controlling factors remain uncertain. This study shows that long-term isoprene trends vary among Earth System Models mainly due to partially incorporating CO2 effects and land cover changes rather than climate. Future models that refine these factors’ effects on isoprene emissions, along with long-term observations, are essential for better understanding plant-climate interactions.
Michael Nole, Jonah Bartrand, Fawz Naim, and Glenn Hammond
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-162, https://doi.org/10.5194/gmd-2024-162, 2024
Revised manuscript accepted for GMD
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Safe carbon dioxide (CO2) storage is likely to be critical for mitigating some of the most dangerous effects of climate change. We present a simulation framework for modeling CO2 storage beneath the seafloor where CO2 can form a solid. This can aid in permanent CO2 storage for long periods of time. Our models show what a commercial-scale CO2 injection would look like in a marine environment. We discuss what would need to be considered when designing a sub-sea CO2 injection.
Cynthia Whaley, Montana Etten-Bohm, Courtney Schumacher, Ayodeji Akingunola, Vivek Arora, Jason Cole, Michael Lazare, David Plummer, Knut von Salzen, and Barbara Winter
Geosci. Model Dev., 17, 7141–7155, https://doi.org/10.5194/gmd-17-7141-2024, https://doi.org/10.5194/gmd-17-7141-2024, 2024
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This paper describes how lightning was added as a process in the Canadian Earth System Model in order to interactively respond to climate changes. As lightning is an important cause of global wildfires, this new model development allows for more realistic projections of how wildfires may change in the future, responding to a changing climate.
Erik Gustafsson, Bo G. Gustafsson, Martijn Hermans, Christoph Humborg, and Christian Stranne
Geosci. Model Dev., 17, 7157–7179, https://doi.org/10.5194/gmd-17-7157-2024, https://doi.org/10.5194/gmd-17-7157-2024, 2024
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Methane (CH4) cycling in the Baltic Proper is studied through model simulations, enabling a first estimate of key CH4 fluxes. A preliminary budget identifies benthic CH4 release as the dominant source and two main sinks: CH4 oxidation in the water (92 % of sinks) and outgassing to the atmosphere (8 % of sinks). This study addresses CH4 emissions from coastal seas and is a first step toward understanding the relative importance of open-water outgassing compared with local coastal hotspots.
Daniel Ries, Katherine Goode, Kellie McClernon, and Benjamin Hillman
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-133, https://doi.org/10.5194/gmd-2024-133, 2024
Revised manuscript accepted for GMD
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Machine learning has advanced research in the climate science domain, but its models are difficult to understand. In order to understand the impacts and consequences of climate interventions such as stratospheric aerosol injection, complex models are often necessary. We use a case study to illustrate how we can understand the inner workings of a complex model. We present this technique as an exploratory tool that can be used to quickly discover and assess relationships in complex climate data.
Florian Zabel, Matthias Knüttel, and Benjamin Poschlod
EGUsphere, https://doi.org/10.5194/egusphere-2024-2526, https://doi.org/10.5194/egusphere-2024-2526, 2024
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CropSuite is a fuzzy-logic based high resolution open-source crop suitability model considering the impact of climate variability. We apply CropSuite for 48 important staple and cash crops at 1 km spatial resolution for Africa. We find that climate variability significantly impacts on suitable areas, but also affects optimal sowing dates, and multiple cropping potentials. The results provide information that can be used for climate impact assessments, adaptation and land-use planning.
Kerstin Hartung, Bastian Kern, Nils-Arne Dreier, Jörn Geisbüsch, Mahnoosh Haghighatnasab, Patrick Jöckel, Astrid Kerkweg, Wilton Jaciel Loch, Florian Prill, and Daniel Rieger
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-135, https://doi.org/10.5194/gmd-2024-135, 2024
Revised manuscript accepted for GMD
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The Icosahedral Nonhydrostatic (ICON) Model Community Interface (ComIn) library supports connecting third-party modules to the ICON model. Third-party modules can range from simple diagnostic Python scripts to full chemistry models. ComIn offers a low barrier for code extensions to ICON, provides multi-language support (Fortran, C/C++ and Python) and reduces the migration effort in response to new ICON releases. This paper presents the ComIn design principles and a range of use cases.
Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dmitry Sidorenko
Geosci. Model Dev., 17, 7051–7065, https://doi.org/10.5194/gmd-17-7051-2024, https://doi.org/10.5194/gmd-17-7051-2024, 2024
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In this paper we propose a new alternative to one of the functionalities of the sea ice model FESOM2. The alternative we propose allows the model to capture and simulate fast changes in quantities like sea surface elevation more accurately. We also demonstrate that the new alternative is faster and more adept at taking advantages of highly parallelized computing infrastructure. We therefore show that this new alternative is a great addition to the sea ice model FESOM2.
Yuwen Fan, Zhao Yang, Min-Hui Lo, Jina Hur, and Eun-Soon Im
Geosci. Model Dev., 17, 6929–6947, https://doi.org/10.5194/gmd-17-6929-2024, https://doi.org/10.5194/gmd-17-6929-2024, 2024
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Irrigated agriculture in the North China Plain (NCP) has a significant impact on the local climate. To better understand this impact, we developed a specialized model specifically for the NCP region. This model allows us to simulate the double-cropping vegetation and the dynamic irrigation practices that are commonly employed in the NCP. This model shows improved performance in capturing the general crop growth, such as crop stages, biomass, crop yield, and vegetation greenness.
Gang Tang, Zebedee Nicholls, Alexander Norton, Sönke Zaehle, and Malte Meinshausen
EGUsphere, https://doi.org/10.5194/egusphere-2024-1941, https://doi.org/10.5194/egusphere-2024-1941, 2024
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We studied the coupled carbon-nitrogen cycle effect in Earth System Models by developing a carbon-nitrogen coupling in a reduced complexity model, MAGICC. Our model successfully emulated the global carbon-nitrogen cycle dynamics seen in CMIP6 complex models. Results indicate consistent nitrogen limitations on plant growth (net primary production) from 1850 to 2100. Our findings suggest that nitrogen deficiency could reduce future land carbon sequestration.
Ed Blockley, Emma Fiedler, Jeff Ridley, Luke Roberts, Alex West, Dan Copsey, Daniel Feltham, Tim Graham, David Livings, Clement Rousset, David Schroeder, and Martin Vancoppenolle
Geosci. Model Dev., 17, 6799–6817, https://doi.org/10.5194/gmd-17-6799-2024, https://doi.org/10.5194/gmd-17-6799-2024, 2024
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This paper documents the sea ice model component of the latest Met Office coupled model configuration, which will be used as the physical basis for UK contributions to CMIP7. Documentation of science options used in the configuration are given along with a brief model evaluation. This is the first UK configuration to use NEMO’s new SI3 sea ice model. We provide details on how SI3 was adapted to work with Met Office coupling methodology and documentation of coupling processes in the model.
Jean-François Lemieux, William H. Lipscomb, Anthony Craig, David A. Bailey, Elizabeth C. Hunke, Philippe Blain, Till A. S. Rasmussen, Mats Bentsen, Frédéric Dupont, David Hebert, and Richard Allard
Geosci. Model Dev., 17, 6703–6724, https://doi.org/10.5194/gmd-17-6703-2024, https://doi.org/10.5194/gmd-17-6703-2024, 2024
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We present the latest version of the CICE model. It solves equations that describe the dynamics and the growth and melt of sea ice. To do so, the domain is divided into grid cells and variables are positioned at specific locations in the cells. A new implementation (C-grid) is presented, with the velocity located on cell edges. Compared to the previous B-grid, the C-grid allows for a natural coupling with some oceanic and atmospheric models. It also allows for ice transport in narrow channels.
Rachid El Montassir, Olivier Pannekoucke, and Corentin Lapeyre
Geosci. Model Dev., 17, 6657–6681, https://doi.org/10.5194/gmd-17-6657-2024, https://doi.org/10.5194/gmd-17-6657-2024, 2024
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This study introduces a novel approach that combines physics and artificial intelligence (AI) for improved cloud cover forecasting. This approach outperforms traditional deep learning (DL) methods in producing realistic and physically consistent results while requiring less training data. This architecture provides a promising solution to overcome the limitations of classical AI methods and contributes to open up new possibilities for combining physical knowledge with deep learning models.
Marit Sandstad, Borgar Aamaas, Ane Nordlie Johansen, Marianne Tronstad Lund, Glen Philip Peters, Bjørn Hallvard Samset, Benjamin Mark Sanderson, and Ragnhild Bieltvedt Skeie
Geosci. Model Dev., 17, 6589–6625, https://doi.org/10.5194/gmd-17-6589-2024, https://doi.org/10.5194/gmd-17-6589-2024, 2024
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The CICERO-SCM has existed as a Fortran model since 1999 that calculates the radiative forcing and concentrations from emissions and is an upwelling diffusion energy balance model of the ocean that calculates temperature change. In this paper, we describe an updated version ported to Python and publicly available at https://github.com/ciceroOslo/ciceroscm (https://doi.org/10.5281/zenodo.10548720). This version contains functionality for parallel runs and automatic calibration.
Sébastien Masson, Swen Jullien, Eric Maisonnave, David Gill, Guillaume Samson, Mathieu Le Corre, and Lionel Renault
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-140, https://doi.org/10.5194/gmd-2024-140, 2024
Revised manuscript accepted for GMD
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This article details a new feature we implemented in the most popular regional atmospheric model (WRF). This feature allows data to be exchanged between WRF and any other model (e.g. an ocean model) using the coupling library Ocean-Atmosphere-Sea-Ice-Soil – Model Coupling Toolkit (OASIS3-MCT). This coupling interface is designed to be non-intrusive, flexible and modular. It also offers the possibility of taking into account the nested zooms used in WRF or in the models with which it is coupled.
Jordi Buckley Paules, Simone Fatichi, Bonnie Warring, and Athanasios Paschalis
EGUsphere, https://doi.org/10.5194/egusphere-2024-2072, https://doi.org/10.5194/egusphere-2024-2072, 2024
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We outline and validate developments to the pre-existing process-based model T&C to better represent cropland processes. Foreseen applications of T&C-CROP include hydrological and carbon storage implications of land-use transitions involving crop, forest, and pasture conversion, as well as studies on optimal irrigation and fertilization under a changing climate.
Cited articles
Adcroft, A. and Campin, J.-M.: Rescaled height coordinates for accurate
representation of free-surface flows in ocean circulation models, Ocean
Model., 7, 269–284, 2004.
Adcroft, A., Hill, C., and Marshall, J.: Representation of topography by
shaved cells in a height coordinate ocean model, Mon. Weather Rev.,
125, 2293–2315, 1997.
Artale, V., Calmanti, S., Carillo, A., Dell'Aquila, A., Herrmann, M.,
Pisacane, G., Ruti, P. M., Sannino, G., Struglia, M. V., and Giorgi, F.: An
atmosphere–ocean regional climate model for the Mediterranean area:
assessment of a present climate simulation, Clim. Dynam., 35, 721–740,
2010.
Belmonte Rivas, M. and Stoffelen, A.: Characterizing ERA-Interim and ERA5 surface wind biases using ASCAT, Ocean Sci., 15, 831–852, https://doi.org/10.5194/os-15-831-2019, 2019.
Béranger, K., Mortier, L., and Crépon, M.: Seasonal variability of
water transport through the Straits of Gibraltar, Sicily and Corsica,
derived from a high-resolution model of the Mediterranean circulation,
Prog. Oceanogr., 66, 341–364, 2005.
Bethoux, J.: Budgets of the Mediterranean Sea. Their depenqance on the local
climate and on the characteristics of the Atlantic waters, Oceanol. Acta, 2,
157–163, 1979.
Beuvier, J., Sevault, F., Herrmann, M., Kontoyiannis, H., Ludwig, W., Rixen,
M., Stanev, E., Béranger, K., and Somot, S.: Modeling the Mediterranean
Sea interannual variability during 1961–2000: focus on the Eastern
Mediterranean Transient, J. Geophys. Res.-Oceans, 115, C08017, https://doi.org/10.1029/2009JC005950, 2010.
Breitkreuz, C., Paul, A., Kurahashi-Nakamura, T., Losch, M., and Schulz, M.:
A dynamical reconstruction of the global monthly mean oxygen isotopic
composition of seawater, J. Geophys. Res.-Oceans, 123,
7206–7219, 2018.
Brune, S. and Baehr, J.: Preserving the coupled atmosphere–ocean feedback
in initializations of decadal climate predictions, WIRES Clim. Change, 11, e637, https://doi.org/10.1002/wcc.637, 2020.
Bryden, H. L., Candela, J., and Kinder, T. H.: Exchange through the Strait
of Gibraltar, Prog. Oceanogr., 33, 201–248, 1994.
Criado-Aldeanueva, F., Soto-Navarro, F. J., and García-Lafuente, J.:
Seasonal and interannual variability of surface heat and freshwater fluxes
in the Mediterranean Sea: budgets and exchange through the Strait of
Gibraltar, Int. J. Climatol., 32, 286–302, 2012.
Darmaraki, S., Somot, S., Sevault, F., Nabat, P., Narvaez, W. D. C.,
Cavicchia, L., Djurdjevic, V., Li, L., Sannino, G., and Sein, D. V.: Future
evolution of marine heatwaves in the Mediterranean Sea, Clim. Dynam.,
53, 1371–1392, 2019.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Holm, E. V., Isaksen, L., Kallberg, P., Kohler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thepaut, J. N., and Vitart, F.: The
ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011.
Dickinson, R. E., Henderson-Sellers, A., and Kennedy, P. J.:
Biosphere-atmosphere transfer scheme (BATS) version 1e as coupled to the NCAR Community Climate Model,
NCAR Technical Note NCAR/TN-387+STR, p. 72
https://doi.org/10.5065/D67W6959, 1993.
Drobinski, P., Anav, A., Brossier, C. L., Samson, G., Stéfanon, M.,
Bastin, S., Baklouti, M., Béranger, K., Beuvier, J., and
Bourdallé-Badie, R.: Model of the Regional Coupled Earth system (MORCE):
Application to process and climate studies in vulnerable regions,
Environ. Modell. Softw., 35, 1–18, 2012.
Dubois, C., Somot, S., Calmanti, S., Carillo, A., Déqué, M., Dell'Aquilla, A., Elizalde, A., Gualdi, S., Jacob, D., L'Hévéder, B., Li, L., Oddo, P., Sannino, G., Scoccimarro, E., and Sevault, F.: Future projections of the surface heat and water
budgets of the Mediterranean Sea in an ensemble of coupled atmosphere – ocean
regional climate models, Clim. Dynam., 39, 1859–1884, 2012.
European Reanalysis ERA-Interim: ERA Interim, Daily, available at: https://apps.ecmwf.int/datasets/data/interim-full-daily/levtype=pl/, last access: 22 June, 2021.
Forget, G., Campin, J.-M., Heimbach, P., Hill, C. N., Ponte, R. M., and Wunsch, C.: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation, Geosci. Model Dev., 8, 3071–3104, https://doi.org/10.5194/gmd-8-3071-2015, 2015.
Forget, G. and Ferreira, D.: Global ocean heat transport dominated by heat
export from the tropical Pacific, Nat. Geosci., 12, 351–354, 2019.
Furue, R., Jia, Y., McCreary, J. P., Schneider, N., Richards, K. J.,
Müller, P., Cornuelle, B. D., Avellaneda, N. M., Stammer, D., and Liu,
C.: Impacts of regional mixing on the temperature structure of the
equatorial Pacific Ocean. Part 1: Vertically uniform vertical diffusion,
Ocean Model., 91, 91–111, 2015.
García-Díez, M., Fernández, J., and Vautard, R.: An RCM Multi-Physics Ensemble over Europe: Multi-Variable Evaluation to Avoid Error Compensation, Clim. Dynam., 45, 3141–3156, https://doi.org/10.1007/s00382-015-2529-x, 2015.
Giorgi, F.: Simulation of regional climate using a limited area model nested
in a general circulation model, J. Climate, 3, 941–963, 1990.
Giorgi, F.: Climate change hot-spots, Geophys. Res. Lett., 33, L08707, https://doi.org/10.1029/2006GL025734,
2006.
Giorgi, F.: Thirty years of regional climate modeling: where are we and
where are we going next?, J. Geophys. Res.-Atmos., 124,
5696–5723, 2019.
Giorgi, F. and Gutowski Jr, W. J.: Regional dynamical downscaling and the
CORDEX initiative, Annu. Rev. Env. Resour., 40, 467–490,
2015.
Giorgi, F. and Gutowski, W. J.: Coordinated experiments for projections of
regional climate change, Current Climate Change Reports, 2, 202–210, 2016.
Giorgi, F., Marinucci, M. R., and Bates, G. T.: Development of a
second-generation regional climate model (RegCM2). Part I: Boundary-layer
and radiative transfer processes, Mon. Weather Rev., 121, 2794–2813,
1993a.
Giorgi, F., Marinucci, M. R., Bates, G. T., and De Canio, G.: Development of a Second-Generation Regional Climate Model (RegCM2). Part II: Convective Processes and Assimilation of Lateral Boundary Conditions, Mon. Weather Rev., 121, 2814–2832, 1993b.
Giorgi, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M., Bi, X.,
Elguindi, N., Diro, G., Nair, V., and Giuliani, G.: RegCM4: model
description and preliminary tests over multiple CORDEX domains, Clim.
Res., 52, 7–29, 2012.
Giorgi, F., Solmon, F., Xunjang, B., Coppola E., Graziano, G., Turunçoğlu, U., Güttler, I., Mariotti, L., Nogherotto, R., O'Brien, T. A., Tawfik, A., Elguindi, N., Piani, S., Pal, J., Gulilat, T. D., Shalaby, A.: ictp-esp/RegCM: Paper Release (Version 4.7.1), Zenodo [data set], https://doi.org/10.5281/zenodo.4603556, 2021.
Grell, G. A.: Prognostic evaluation of assumptions used by cumulus
parameterizations, Mon. Weather Rev., 121, 764–787, 1993.
Grell, G. A., Dudhia, J., and Stauffer, D.: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5), NCAR Tech. Note NCAR/TN-3981STR, 122 pp., 1994.
Hagemann, S.: The HD Model, available at: https://wiki.coast.hzg.de/display/HYD/The+HD+Model, last access: 24 December 2020.
Hagemann, S. and Dümenil, L.: A parametrization of the lateral
waterflow for the global scale, Clim. Dynam., 14, 17–31, 1997.
Hagemann, S. and Gates, L. D.: Validation of the hydrological cycle of
ECMWF and NCEP reanalyses using the MPI hydrological discharge model,
J. Geophys. Res.-Atmos., 106, 1503–1510, 2001.
Heikkilä, U., Sandvik, A., and Sorteberg, A.: Dynamical downscaling of
ERA-40 in complex terrain using the WRF regional climate model, Clim.
Dynam., 37, 1551–1564, 2011.
Holte, J., Talley, L. D., Gilson, J., and Roemmich, D.: An Argo mixed layer
climatology and database, Geophys. Res. Lett., 44, 5618–5626, 2017.
Hong, S.-Y., Dudhia, J., and Chen, S.-H.: A revised approach to ice
microphysical processes for the bulk parameterization of clouds and
precipitation, Mon. Weather Rev., 132, 103–120, 2004.
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with
an explicit treatment of entrainment processes, Mon. Weather Rev., 134,
2318–2341, 2006.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys.
Res.-Atmos., 113, D13103, https://doi.org/10.1029/2008JD009944, 2008.
IRI/LDEO Climate Data Library: LEVITUS94 MONTHLY, available at: https://iridl.ldeo.columbia.edu/SOURCES/.LEVITUS94/.MONTHLY/ (last access:
24 December 2020), 2015.
Jordà, G., Von Schuckmann, K., Josey, S. A., Caniaux, G.,
García-Lafuente, J., Sammartino, S., Özsoy, E., Polcher, J.,
Notarstefano, G., Poulain, P.-M., Adloff, F., Salat, J., Naranjo, C.,
Schroeder, K., Chiggiato, J., Sannino, G., and Macías, D.: The
Mediterranean Sea heat and mass budgets: estimates, uncertainties and
perspectives, Prog. Oceanogr., 156, 174–208, 2017.
Kain, J. S.: The Kain–Fritsch convective parameterization: an update,
J. Appl. Meteorol., 43, 170–181, 2004.
Katragkou, E., García-Díez, M., Vautard, R., Sobolowski, S., Zanis, P., Alexandri, G., Cardoso, R. M., Colette, A., Fernandez, J., Gobiet, A., Goergen, K., Karacostas, T., Knist, S., Mayer, S., Soares, P. M. M., Pytharoulis, I., Tegoulias, I., Tsikerdekis, A., and Jacob, D.: Regional climate hindcast simulations within EURO-CORDEX: evaluation of a WRF multi-physics ensemble, Geosci. Model Dev., 8, 603–618, https://doi.org/10.5194/gmd-8-603-2015, 2015.
Kiehl, J., Hack, J., Bonan, G., Boville, B., and Briegleb, B.: Description
of the NCAR community climate model (CCM3). Technical Note, National Center
for Atmospheric Research, Boulder, CO (United States), 1996.
Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
Lascaratos, A., Williams, R. G., and Tragou, E.: A mixed-layer study of the
formation of Levantine Intermediate Water, J. Geophys. Res.-Oceans, 98, 14739–14749, 1993.
Lascaratos, A., Roether, W., Nittis, K., and Klein, B.: Recent changes in
deep water formation and spreading in the eastern Mediterranean Sea: a
review, Prog. Oceanogr., 44, 5–36, 1999.
Lebeaupin-Brossier, C., Bastin, S., Béranger, K., and Drobinski, P.:
Regional mesoscale air–sea coupling impacts and extreme meteorological
events role on the Mediterranean Sea water budget, Clim. Dynam., 44,
1029–1051, 2015.
Lermusiaux, P. and Robinson, A.: Features of dominant mesoscale
variability, circulation patterns and dynamics in the Strait of Sicily, Deep
Sea Research Part I: Oceanographic Research Papers, 48, 1953–1997, 2001.
Liu, P., Tsimpidi, A. P., Hu, Y., Stone, B., Russell, A. G., and Nenes, A.: Differences between downscaling with spectral and grid nudging using WRF, Atmos. Chem. Phys., 12, 3601–3610, https://doi.org/10.5194/acp-12-3601-2012, 2012.
Llasses, J., Jordà, G., Gomis, D., Adloff, F., Macías, D.,
Harzallah, A., Arsouze, T., Akthar, N., Li, L., and Elizalde, A.: Heat and
salt redistribution within the Mediterranean Sea in the Med-CORDEX model
ensemble, Clim. Dynam., 51, 1119–1143, 2018.
Malanotte-Rizzoli, P., Manca, B. B., d'Alcala, M. R., Theocharis, A.,
Brenner, S., Budillon, G., and Ozsoy, E.: The Eastern Mediterranean in the
80s and in the 90s: the big transition in the intermediate and deep
circulations, Dynam. Atmos. Oceans, 29, 365–395, 1999.
Mariotti, A., Struglia, M. V., Zeng, N., and Lau, K.: The hydrological cycle
in the Mediterranean region and implications for the water budget of the
Mediterranean Sea, J. Climate, 15, 1674–1690, 2002.
Marshall, J., Adcroft, A., Hill, C., Perelman, L., and Heisey, C.: A
finite-volume, incompressible Navier Stokes model for studies of the ocean
on parallel computers, J. Geophys. Res.-Oceans, 102,
5753–5766, 1997.
McKiver, W. J., Sannino, G., Braga, F., and Bellafiore, D.: Investigation of model capability in capturing vertical hydrodynamic coastal processes: a case study in the north Adriatic Sea, Ocean Sci., 12, 51–69, https://doi.org/10.5194/os-12-51-2016, 2016.
Mediterranean Data Archaeology and Rescue: Medar/medatlas II Web site, available at: http://www.ifremer.fr/medar/, last access: 22 June 2021.
Mertens, C. and Schott, F.: Interannual variability of deep-water formation
in the Northwestern Mediterranean, J. Phys. Oceanogr., 28,
1410–1424, 1998.
Millot C. and Taupier-Letage I.: Circulation in the Mediterranean Sea, in: The Mediterranean Sea. Handbook of Environmental Chemistry, edited by: Saliot, A., vol. 5K, Springer, Berlin, Heidelberg, https://doi.org/10.1007/b107143, 2005.
Mooney, P., Mulligan, F., and Fealy, R.: Evaluation of the sensitivity of
the weather research and forecasting model to parameterization schemes for
regional climates of Europe over the period 1990–95, J. Climate,
26, 1002–1017, 2013.
Niu, G. Y., Yang, Z. L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M.,
Kumar, A., Manning, K., Niyogi, D., and Rosero, E.: The community Noah land
surface model with multiparameterization options (Noah-MP): 1. Model
description and evaluation with local-scale measurements, J.
Geophys. Res.-Atmos., 116, D12109, https://doi.org/10.1029/2010JD015139, 2011.
Omrani, H., Drobinski, P., and Dubos, T.: Using nudging to improve
global-regional dynamic consistency in limited-area climate modeling: What
should we nudge?, Clim. Dynam., 44, 1627–1644, 2015.
Onken, R., Robinson, A. R., Lermusiaux, P. F., Haley, P. J., and Anderson,
L. A.: Data-driven simulations of synoptic circulation and transports in the
Tunisia-Sardinia-Sicily region, J. Geophys. Res.-Oceans,
108, 8123, https://doi.org/10.1029/2002JC001348, 2003.
Pal, J. S., Small, E. E., and Eltahir, E. A.: Simulation of regional-scale
water and energy budgets: Representation of subgrid cloud and precipitation
processes within RegCM, J. Geophys. Res.-Atmos., 105,
29579–29594, 2000.
Parras-Berrocal, I. M., Vazquez, R., Cabos, W., Sein, D., Mañanes, R., Perez-Sanz, J., and Izquierdo, A.: The climate change signal in the Mediterranean Sea in a regionally coupled atmosphere–ocean model, Ocean Sci., 16, 743–765, https://doi.org/10.5194/os-16-743-2020, 2020.
Peng, Q., Xie, S.-P., Wang, D., Zheng, X.-T., and Zhang, H.: Coupled
ocean-atmosphere dynamics of the 2017 extreme coastal El Niño, Nat.
Commun. 10, 298, https://doi.org/10.1038/s41467-018-08258-8 , 2019.
Pettenuzzo, D., Large, W., and Pinardi, N.: On the corrections of ERA-40
surface flux products consistent with the Mediterranean heat and water
budgets and the connection between basin surface total heat flux and NAO,
J. Geophys. Res.-Oceans, 115, C06022, https://doi.org/10.1029/2009JC005631, 2010.
Pinardi, N., Arneri, E., Crise, A., Ravaioli, M., and Zavatarelli, M.: The
physical, sedimentary and ecological structure and variability of shelf
areas in the Mediterranean sea, The Sea, 14, 1243–1330, 2006.
Pinardi, N., Zavatarelli, M., Adani, M., Coppini, G., Fratianni, C., Oddo,
P., Simoncelli, S., Tonani, M., Lyubartsev, V., and Dobricic, S.:
Mediterranean Sea large-scale low-frequency ocean variability and water mass
formation rates from 1987 to 2007: A retrospective analysis, Prog.
Oceanogr., 132, 318–332, https://doi.org/10.1016/j.pocean.2013.11.003, 2015.
Polkova, I., Köhl, A., and Stammer, D.: Impact of initialization
procedures on the predictive skill of a coupled ocean–atmosphere model,
Clim. Dynam., 42, 3151–3169, 2014.
Reale, M., Giorgi, F., Solidoro, C., Di Biagio, V., Di Sante, F., Mariotti, L., Farneti, R., and Sannino, G.: The Regional Earth System Model RegCM-ES: Evaluation of the Mediterranean climate and marine biogeochemistry, J. Adv. Model. Earth Sy., 12, e2019MS001812. https://doi.org/10.1029/2019MS001812, 2020.
Reynolds, R. W., Rayner, N. A., Smith, T. M., Stokes, D. C., and Wang, W.:
An improved in situ and satellite SST analysis for climate, J.
Climate, 15, 1609–1625, 2002.
Reynolds, R. W., Smith, T. M., Liu, C., Chelton, D. B., Casey, K. S., and
Schlax, M. G.: Daily high-resolution-blended analyses for sea surface
temperature, J. Climate, 20, 5473–5496, 2007.
Robinson, A., Sellschopp, J., Warn-Varnas, A., Leslie, W., Lozano, C., Haley
Jr, P., Anderson, L., and Lermusiaux, P.: The Atlantic ionian stream,
J. Marine Syst., 20, 129–156, 1999.
Roether, W., Klein, B., Manca, B. B., Theocharis, A., and Kioroglou, S.:
Transient Eastern Mediterranean deep waters in response to the massive
dense-water output of the Aegean Sea in the 1990s, Prog. Oceanogr.,
74, 540–571, 2007.
Romanou, A., Tselioudis, G., Zerefos, C., Clayson, C., Curry, J., and
Andersson, A.: Evaporation–precipitation variability over the Mediterranean
and the Black Seas from satellite and reanalysis estimates, J.
Climate, 23, 5268–5287, 2010.
Rosso, I., Hogg, A. M., Kiss, A. E., and Gayen, B.: Topographic influence on
submesoscale dynamics in the Southern Ocean, Geophys. Res. Lett.,
42, 1139–1147, 2015.
Ruti, P. M., Somot, S., Giorgi, F., Dubois, C., Flaounas, E., Obermann, A.,
Dell'Aquila, A., Pisacane, G., Harzallah, A., and Lombardi, E.: MED-CORDEX
initiative for Mediterranean climate studies, B. Am.
Meteorol. Soc., 97, 1187–1208, 2016.
Sanchez-Gomez, E., Somot, S., Josey, S., Dubois, C., Elguindi, N., and
Déqué, M.: Evaluation of Mediterranean Sea water and heat budgets
simulated by an ensemble of high resolution regional climate models, Clim.
Dynam., 37, 2067–2086, 2011.
Sannino, G., Herrmann, M., Carillo, A., Rupolo, V., Ruggiero, V., Artale,
V., and Heimbach, P.: An eddy-permitting model of the Mediterranean Sea with
a two-way grid refinement at the Strait of Gibraltar, Ocean Model., 30,
56–72, 2009.
Sannino, G., Carillo, A., Pisacane, G., and Naranjo, C.: On the relevance of
tidal forcing in modelling the Mediterranean thermohaline circulation,
Prog. Oceanogr., 134, 304–329, 2015.
Sannino, G., Sözer, A., and Özsoy, E.: A high-resolution modelling
study of the Turkish Straits System, Ocean Dynam., 67, 397–432,
https://doi.org/10.1007/s10236-017-1039-2, 2017.
Schroeder, K., Ribotti, A., Borghini, M., Sorgente, R., Perilli, A., and
Gasparini, G.: An extensive western Mediterranean deep water renewal between
2004 and 2006, Geophys. Res. Lett., 35, L18605, https://doi.org/10.1029/2008GL035146, 2008.
Sevault, F., Somot, S., Alias, A., Dubois, C., Lebeaupin-Brossier, C.,
Nabat, P., Adloff, F., Déqué, M., and Decharme, B.: A fully coupled
Mediterranean regional climate system model: design and evaluation of the
ocean component for the 1980–2012 period, Tellus A, 66, 23967, https://doi.org/10.3402/tellusa.v66.23967, 2014.
Sitz, L., Di Sante, F., Farneti, R., Fuentes-Franco, R., Coppola, E.,
Mariotti, L., Reale, M., Sannino, G., Barreiro, M., and Nogherotto, R.:
Description and evaluation of the E arth System Regional Climate Model
(RegCM-ES), J. Adv. in Model. Earth Sy., 9, 1863–1886,
2017.
Skamarock, W. C. and Klemp, J. B.: A time-split nonhydrostatic atmospheric
model for weather research and forecasting applications, J.
Comput. Phys., 227, 3465–3485, 2008.
Somot, S., Sevault, F., Déqué, M., and Crépon, M.: 21st century
climate change scenario for the Mediterranean using a coupled
atmosphere–ocean regional climate model, Global Planet. Change, 63,
112–126, 2008.
Somot, S., Houpert, L., Sevault, F., Testor, P., Bosse, A., Taupier-Letage,
I., Bouin, M.-N., Waldman, R., Cassou, C., and Sanchez-Gomez, E.:
Characterizing, modelling and understanding the climate variability of the
deep water formation in the North-Western Mediterranean Sea, Clim.
Dynam., 51, 1179–1210, 2018a.
Somot, S., Ruti, P., Ahrens, B., Coppola, E., Jordà, G., Sannino, G., and
Solmon, F.: Editorial for the Med-CORDEX special issue, Clim.
Dynam., 51, 771–777, 2018b.
Stammer, D., Wunsch, C., Giering, R., Eckert, C., Heimbach, P., Marotzke,
J., Adcroft, A., Hill, C., and Marshall, J.: Volume, heat, and freshwater
transports of the global ocean circulation 1993–2000, estimated from a
general circulation model constrained by World Ocean Circulation Experiment
(WOCE) data, J. Geophys. Res.-Oceans, 108, 3007, https://doi.org/10.1029/2001JC001115, 2003.
Stanev, E. V., Le Traon, P.-Y., and Peneva, E. L.: Sea level variations and their
dependency on meteorological and hydrological forcing: analysis of altimeter
and surface data for the Black Sea, J. Geophys. Res., 76. 5877–5892, 2000.
Sun, R., Subramanian, A. C., Miller, A. J., Mazloff, M. R., Hoteit, I., and Cornuelle, B. D.: SKRIPS v1.0: a regional coupled ocean–atmosphere modeling framework (MITgcm–WRF) using ESMF/NUOPC, description and preliminary results for the Red Sea, Geosci. Model Dev., 12, 4221–4244, https://doi.org/10.5194/gmd-12-4221-2019, 2019.
Theocharis, A., Nittis, K., Kontoyiannis, H., Papageorgiou, E., and
Balopoulos, E.: Climatic changes in the Aegean Sea influence the Eastern
Mediterranean thermohaline circulation (1986–1997), Geophys. Res.
Lett., 26, 1617–1620, 1999.
Theocharis, A., Klein, B., Nittis, K., and Roether, W.: Evolution and status
of the Eastern Mediterranean Transient (1997–1999), J. Marine
Syst., 33, 91–116, 2002.
Tuel, A. and Eltahir, E.: Why Is the Mediterranean a Climate Change Hot
Spot?, J. Climate, 33, 5829–5843, 2020.
Turuncoglu, U. U.: Toward modular in situ visualization in Earth system models: the regional modeling system RegESM 1.1, Geosci. Model Dev., 12, 233–259, https://doi.org/10.5194/gmd-12-233-2019, 2019.
Turunçoğlu, U., Giuliani, G., and Sannino, G.: uturuncoglu/RegESM: Customized version of 1.2 for ENEA (Version 1.2.0_enea), Zenodo, https://doi.org/10.5281/zenodo.4386712, 2020a.
Turunçoğlu, U.: uturuncoglu/MITgcm: RegESM modeling system compatible MITgcm model (Version 1.0.0_cpl), Zenodo, https://doi.org/10.5281/zenodo.4392260, 2020b.
Turunçoğlu, U.: uturuncoglu/HD: New version of coupling capable HD model (Version 1.1.0), Zenodo, https://doi.org/10.5281/zenodo.4390527, 2020c.
Turuncoglu, U.: uturuncoglu/WRF: RegESM compatible version of WRF (Version 3.8.1_cpl), Zenodo, https://doi.org/10.5281/zenodo.4392230, 2020d.
Turuncoglu, U. U. and Sannino, G.: Validation of newly designed regional
earth system model (RegESM) for Mediterranean Basin, Clim. Dynam., 48,
2919–2947, 2017.
Vervatis, V. D., Sofianos, S. S., Skliris, N., Somot, S., Lascaratos, A.,
and Rixen, M.: Mechanisms controlling the thermohaline circulation pattern
variability in the Aegean–Levantine region. A hindcast simulation
(1960–2000) with an eddy resolving model, Deep Sea Research Part I:
Oceanographic Research Papers, 74, 82–97, 2013.
Vorosmarty, C. J., Fekete, B. M., and Tucker, B. A.: Global River Discharge, 1807–1991, V[ersion]. 1.1 (RivDIS), ORNL DAAC, Oak Ridge, Tennessee, USA, https://doi.org/10.3334/ORNLDAAC/199, 1998.
Waldron, K. M., Paegle, J., and Horel, J. D.: Sensitivity of a spectrally
filtered and nudged limited-area model to outer model options, Mon.
Weather Rev., 124, 529–547, 1996.
Wu, P., Haines, K., and Pinardi, N.: Toward an understanding of deep-water
renewal in the eastern Mediterranean, J. Phys. Oceanogr., 30,
443–458, 2000.
Short summary
The Mediterranean Basin is a complex region, characterized by the presence of pronounced topography and a complex land–sea distribution including a considerable number of islands and straits; these features generate strong local atmosphere–sea interactions.
Regional Earth system models have been developed and used to study both present and future Mediterranean climate systems. The main aims of this paper are to present and evaluate the newly developed regional Earth system model ENEA-REG.
The Mediterranean Basin is a complex region, characterized by the presence of pronounced...
