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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Geosci. Model Dev., 18, 2161–2192, https://doi.org/10.5194/gmd-18-2161-2025, https://doi.org/10.5194/gmd-18-2161-2025, 2025
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We describe, calibrate and test the Danish Center for Earth System Science (DCESS) II model, a new, broad, adaptable and fast Earth system model. DCESS II is designed for global simulations over timescales of years to millions of years using limited computer resources like a personal computer. With its flexibility and comprehensive treatment of the global carbon cycle, DCESS II is a useful, computationally friendly tool for simulations of past climates as well as for future Earth system projections.
Gang Tang, Zebedee Nicholls, Alexander Norton, Sönke Zaehle, and Malte Meinshausen
Geosci. Model Dev., 18, 2193–2230, https://doi.org/10.5194/gmd-18-2193-2025, https://doi.org/10.5194/gmd-18-2193-2025, 2025
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We studied carbon–nitrogen coupling in Earth system models by developing a global carbon–nitrogen cycle model (CNit v1.0) within the widely used emulator MAGICC. CNit effectively reproduced the global carbon–nitrogen cycle dynamics observed in complex models. Our results show persistent nitrogen limitations on plant growth (net primary production) from 1850 to 2100, suggesting that nitrogen deficiency may constrain future land carbon sequestration.
Ngoc Thi Nhu Do, Kengo Sudo, Akihiko Ito, Louisa K. Emmons, Vaishali Naik, Kostas Tsigaridis, Øyvind Seland, Gerd A. Folberth, and Douglas I. Kelley
Geosci. Model Dev., 18, 2079–2109, https://doi.org/10.5194/gmd-18-2079-2025, https://doi.org/10.5194/gmd-18-2079-2025, 2025
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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 to climate. Future models that refine these factors’ effects on isoprene emissions, along with long-term observations, are essential for better understanding plant–climate interactions.
Gang Tang, Zebedee Nicholls, Chris Jones, Thomas Gasser, Alexander Norton, Tilo Ziehn, Alejandro Romero-Prieto, and Malte Meinshausen
Geosci. Model Dev., 18, 2111–2136, https://doi.org/10.5194/gmd-18-2111-2025, https://doi.org/10.5194/gmd-18-2111-2025, 2025
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We analyzed carbon and nitrogen mass conservation in data from various Earth system models. Our findings reveal significant discrepancies between flux and pool size data, where cumulative imbalances can reach hundreds of gigatons of carbon or nitrogen. 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.
Florian Börgel, Sven Karsten, Karoline Rummel, and Ulf Gräwe
Geosci. Model Dev., 18, 2005–2019, https://doi.org/10.5194/gmd-18-2005-2025, https://doi.org/10.5194/gmd-18-2005-2025, 2025
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Forecasting river runoff, which is 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.
Tao Zhang, Cyril Morcrette, Meng Zhang, Wuyin Lin, Shaocheng Xie, Ye Liu, Kwinten Van Weverberg, and Joana Rodrigues
Geosci. Model Dev., 18, 1917–1928, https://doi.org/10.5194/gmd-18-1917-2025, https://doi.org/10.5194/gmd-18-1917-2025, 2025
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Earth system models (ESMs) struggle with the uncertainties associated with parameterizing subgrid physics. Machine learning (ML) algorithms offer a solution by learning the important relationships and features from high-resolution models. To incorporate ML parameterizations into ESMs, we develop a Fortran–Python interface that allows for calling Python functions within Fortran-based ESMs. Through two case studies, this interface demonstrates its feasibility, modularity, and effectiveness.
Kostas Tsigaridis, Andrew S. Ackerman, Igor Aleinov, Mark A. Chandler, Thomas L. Clune, Christopher M. Colose, Anthony D. Del Genio, Maxwell Kelley, Nancy Y. Kiang, Anthony Leboissetier, Jan P. Perlwitz, Reto A. Ruedy, Gary L. Russell, Linda E. Sohl, Michael J. Way, and Eric T. Wolf
EGUsphere, https://doi.org/10.5194/egusphere-2025-925, https://doi.org/10.5194/egusphere-2025-925, 2025
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We present the second generation of ROCKE-3D, a generalized 3-dimensional model for use in Solar System and exoplanetary simulations of rocky planet climates. We quantify how the different component choices affect model results, and discuss strengths and limitations of using each component, together with how one can select which component to use. ROCKE-3D is publicly available and tutorial sessions are available for the community, greatly facilitating its use by any interested group.
Camilla Mathison, Eleanor J. Burke, Gregory Munday, Chris D. Jones, Chris J. Smith, Norman J. Steinert, Andy J. Wiltshire, Chris Huntingford, Eszter Kovacs, Laila K. Gohar, Rebecca M. Varney, and Douglas McNeall
Geosci. Model Dev., 18, 1785–1808, https://doi.org/10.5194/gmd-18-1785-2025, https://doi.org/10.5194/gmd-18-1785-2025, 2025
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We present PRIME (Probabilistic Regional Impacts from Model patterns and Emissions), which is designed to take new emissions scenarios and rapidly provide regional impact information. PRIME allows large ensembles to be run on multi-centennial timescales, including the analysis of many important variables for impact assessments. Our evaluation shows that PRIME reproduces the climate response for known scenarios, providing confidence in using PRIME for novel scenarios.
Katherine M. Smith, Alice M. Barthel, LeAnn M. Conlon, Luke P. Van Roekel, Anthony Bartoletti, Jean-Christophe Golaz, Chengzhu Zhang, Carolyn Branecky Begeman, James J. Benedict, Gautam Bisht, Yan Feng, Walter Hannah, Bryce E. Harrop, Nicole Jeffery, Wuyin Lin, Po-Lun Ma, Mathew E. Maltrud, Mark R. Petersen, Balwinder Singh, Qi Tang, Teklu Tesfa, Jonathan D. Wolfe, Shaocheng Xie, Xue Zheng, Karthik Balaguru, Oluwayemi Garuba, Peter Gleckler, Aixue Hu, Jiwoo Lee, Ben Moore-Maley, and Ana C. Ordoñez
Geosci. Model Dev., 18, 1613–1633, https://doi.org/10.5194/gmd-18-1613-2025, https://doi.org/10.5194/gmd-18-1613-2025, 2025
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Version 2.1 of the U.S. Department of Energy's Energy Exascale Earth System Model (E3SM) adds the Fox-Kemper et al. (2011) mixed-layer eddy parameterization, which restratifies the ocean surface layer through an overturning streamfunction. Results include surface layer bias reduction in temperature, salinity, and sea ice extent in the North Atlantic; a small strengthening of the Atlantic meridional overturning circulation; and improvements to many atmospheric climatological variables.
Huilin Huang, Yun Qian, Gautam Bisht, Jiali Wang, Tirthankar Chakraborty, Dalei Hao, Jianfeng Li, Travis Thurber, Balwinder Singh, Zhao Yang, Ye Liu, Pengfei Xue, William J. Sacks, Ethan Coon, and Robert Hetland
Geosci. Model Dev., 18, 1427–1443, https://doi.org/10.5194/gmd-18-1427-2025, https://doi.org/10.5194/gmd-18-1427-2025, 2025
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We integrate the E3SM Land Model (ELM) with the WRF model through the Lightweight Infrastructure for Land Atmosphere Coupling (LILAC) Earth System Modeling Framework (ESMF). This framework includes a top-level driver, LILAC, for variable communication between WRF and ELM and ESMF caps for ELM initialization, execution, and finalization. The LILAC–ESMF framework maintains the integrity of the ELM's source code structure and facilitates the transfer of future ELM model developments to WRF-ELM.
Michael Nole, Jonah Bartrand, Fawz Naim, and Glenn Hammond
Geosci. Model Dev., 18, 1413–1425, https://doi.org/10.5194/gmd-18-1413-2025, https://doi.org/10.5194/gmd-18-1413-2025, 2025
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Safe carbon dioxide (CO2) storage is likely to be critical for mitigating some of the most severe 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 subsea CO2 injection.
Reyk Börner, Jan O. Haerter, and Romain Fiévet
Geosci. Model Dev., 18, 1333–1356, https://doi.org/10.5194/gmd-18-1333-2025, https://doi.org/10.5194/gmd-18-1333-2025, 2025
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The daily cycle of sea surface temperature (SST) impacts clouds above the ocean and could influence the clustering of thunderstorms linked to extreme rainfall and hurricanes. However, daily SST variability is often poorly represented in modeling studies of how clouds cluster. We present a simple, wind-responsive model of upper-ocean temperature for use in atmospheric simulations. Evaluating the model against observations, we show that it performs significantly better than common slab models.
Malcolm J. Roberts, Kevin A. Reed, Qing Bao, Joseph J. Barsugli, Suzana J. Camargo, Louis-Philippe Caron, Ping Chang, Cheng-Ta Chen, Hannah M. Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S. Fučkar, Shabeh ul Hasson, Helene T. Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai-Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D. Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia-Ying Tu, Paul A. Ullrich, Pier Luigi Vidale, Michael F. Wehner, Colin M. Zarzycki, Bosong Zhang, Wei Zhang, and Ming Zhao
Geosci. Model Dev., 18, 1307–1332, https://doi.org/10.5194/gmd-18-1307-2025, https://doi.org/10.5194/gmd-18-1307-2025, 2025
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HighResMIP2 is a model intercomparison project focusing on high-resolution global climate models, that is, those with grid spacings of 25 km or less in the atmosphere and ocean, using simulations of decades to a century in length. We are proposing an update of our simulation protocol to make the models more applicable to key questions for climate variability and hazard in present-day and future projections and to build links with other communities to provide more robust climate information.
Jordi Buckley Paules, Simone Fatichi, Bonnie Warring, and Athanasios Paschalis
Geosci. Model Dev., 18, 1287–1305, https://doi.org/10.5194/gmd-18-1287-2025, https://doi.org/10.5194/gmd-18-1287-2025, 2025
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We present and validate enhancements to the process-based T&C model aimed at improving its representation of crop growth and management practices. The updated model, T&C-CROP, enables applications such as analysing the hydrological and carbon storage impacts of land use transitions (e.g. conversions between crops, forests, and pastures) and optimizing irrigation and fertilization strategies in response to climate change.
Sébastien Masson, Swen Jullien, Eric Maisonnave, David Gill, Guillaume Samson, Mathieu Le Corre, and Lionel Renault
Geosci. Model Dev., 18, 1241–1263, https://doi.org/10.5194/gmd-18-1241-2025, https://doi.org/10.5194/gmd-18-1241-2025, 2025
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This article details a new feature we implemented in the popular regional atmospheric model WRF. This feature allows for data exchange 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.
Axel Lauer, Lisa Bock, Birgit Hassler, Patrick Jöckel, Lukas Ruhe, and Manuel Schlund
Geosci. Model Dev., 18, 1169–1188, https://doi.org/10.5194/gmd-18-1169-2025, https://doi.org/10.5194/gmd-18-1169-2025, 2025
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Earth system models are important tools to improve our understanding of current climate and to project climate change. Thus, it is crucial to understand possible shortcomings in the models. New features of the ESMValTool software package allow one to compare and visualize a model's performance with respect to reproducing observations in the context of other climate models in an easy and user-friendly way. We aim to help model developers assess and monitor climate simulations more efficiently.
Ulrich G. Wortmann, Tina Tsan, Mahrukh Niazi, Irene A. Ma, Ruben Navasardyan, Magnus-Roland Marun, Bernardo S. Chede, Jingwen Zhong, and Morgan Wolfe
Geosci. Model Dev., 18, 1155–1167, https://doi.org/10.5194/gmd-18-1155-2025, https://doi.org/10.5194/gmd-18-1155-2025, 2025
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The Earth Science Box Modeling Toolkit (ESBMTK) is a user-friendly Python library that simplifies the creation of models to study earth system processes, such as the carbon cycle and ocean chemistry. It enhances learning by emphasizing concepts over programming and is accessible to students and researchers alike. By automating complex calculations and promoting code clarity, ESBMTK accelerates model development while improving reproducibility and the usability of scientific research.
Florian Zabel, Matthias Knüttel, and Benjamin Poschlod
Geosci. Model Dev., 18, 1067–1087, https://doi.org/10.5194/gmd-18-1067-2025, https://doi.org/10.5194/gmd-18-1067-2025, 2025
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CropSuite is a new open-source crop suitability model. It provides a GUI and a wide range of options, including a spatial downscaling of climate data. We apply CropSuite to 48 staple and opportunity crops at a 1 km spatial resolution in Africa. We find that climate variability significantly impacts suitable areas but also affects optimal sowing dates and multiple cropping potential. The results provide valuable information 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., 18, 1001–1015, https://doi.org/10.5194/gmd-18-1001-2025, https://doi.org/10.5194/gmd-18-1001-2025, 2025
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The ICOsahedral Non-hydrostatic (ICON) model system 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.
Daniel Ries, Katherine Goode, Kellie McClernon, and Benjamin Hillman
Geosci. Model Dev., 18, 1041–1065, https://doi.org/10.5194/gmd-18-1041-2025, https://doi.org/10.5194/gmd-18-1041-2025, 2025
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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.
Bo Dong, Paul Ullrich, Jiwoo Lee, Peter Gleckler, Kristin Chang, and Travis A. O'Brien
Geosci. Model Dev., 18, 961–976, https://doi.org/10.5194/gmd-18-961-2025, https://doi.org/10.5194/gmd-18-961-2025, 2025
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A metrics package designed for easy analysis of atmospheric river (AR) characteristics and statistics is presented. The tool is efficient for diagnosing systematic AR bias in climate models and useful for evaluating new AR characteristics in model simulations. In climate models, landfalling AR precipitation shows dry biases globally, and AR tracks are farther poleward (equatorward) in the North and South Atlantic (South Pacific and Indian Ocean).
Panagiotis Adamidis, Erik Pfister, Hendryk Bockelmann, Dominik Zobel, Jens-Olaf Beismann, and Marek Jacob
Geosci. Model Dev., 18, 905–919, https://doi.org/10.5194/gmd-18-905-2025, https://doi.org/10.5194/gmd-18-905-2025, 2025
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In this paper, we investigated performance indicators of the climate model ICON (ICOsahedral Nonhydrostatic) on different compute architectures to answer the question of how to generate high-resolution climate simulations. Evidently, it is not enough to use more computing units of the conventionally used architectures; higher memory throughput is the most promising approach. More potential can be gained from single-node optimization rather than simply increasing the number of compute nodes.
Jonah K. Shaw, Dustin J. Swales, Sergio DeSouza-Machado, David D. Turner, Jennifer E. Kay, and David P. Schneider
EGUsphere, https://doi.org/10.5194/egusphere-2025-169, https://doi.org/10.5194/egusphere-2025-169, 2025
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Satellites have observed earth's emission of infrared radiation since the 1970s. Because infrared wavelengths interact with the atmosphere in distinct ways, these observations contain information about the earth and atmosphere. We present a tool that runs alongside global climate models and produces output that can be directly compared with satellite measurements of infrared radiation. We then use this tool for climate model evaluation, climate change detection, and satellite mission design.
Maria Vittoria Struglia, Alessandro Anav, Marta Antonelli, Sandro Calmanti, Franco Catalano, Alessandro Dell'Aquila, Emanuela Pichelli, and Giovanna Pisacane
EGUsphere, https://doi.org/10.5194/egusphere-2025-387, https://doi.org/10.5194/egusphere-2025-387, 2025
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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
Kangari Narender Reddy, Somnath Baidya Roy, Sam S. Rabin, Danica L. Lombardozzi, Gudimetla Venkateswara Varma, Ruchira Biswas, and Devavat Chiru Naik
Geosci. Model Dev., 18, 763–785, https://doi.org/10.5194/gmd-18-763-2025, https://doi.org/10.5194/gmd-18-763-2025, 2025
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The study aimed to improve the representation of wheat and rice in a land model for the Indian region. The modified model performed significantly better than the default model in simulating crop phenology, yield, and carbon, water, and energy fluxes compared to observations. The study highlights the need for global land models to use region-specific crop parameters for accurately simulating vegetation processes and land surface processes.
Giovanni Di Virgilio, Fei Ji, Eugene Tam, Jason P. Evans, Jatin Kala, Julia Andrys, Christopher Thomas, Dipayan Choudhury, Carlos Rocha, Yue Li, and Matthew L. Riley
Geosci. Model Dev., 18, 703–724, https://doi.org/10.5194/gmd-18-703-2025, https://doi.org/10.5194/gmd-18-703-2025, 2025
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We evaluate the skill in simulating the Australian climate of some of the latest generation of regional climate models. We show when and where the models simulate this climate with high skill versus model limitations. We show how new models perform relative to the previous-generation models, assessing how model design features may underlie key performance improvements. This work is of national and international relevance as it can help guide the use and interpretation of climate projections.
Giovanni Di Virgilio, Jason P. Evans, Fei Ji, Eugene Tam, Jatin Kala, Julia Andrys, Christopher Thomas, Dipayan Choudhury, Carlos Rocha, Stephen White, Yue Li, Moutassem El Rafei, Rishav Goyal, Matthew L. Riley, and Jyothi Lingala
Geosci. Model Dev., 18, 671–702, https://doi.org/10.5194/gmd-18-671-2025, https://doi.org/10.5194/gmd-18-671-2025, 2025
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We introduce new climate models that simulate Australia’s future climate at regional scales, including at an unprecedented resolution of 4 km for 1950–2100. We describe the model design process used to create these new climate models. We show how the new models perform relative to previous-generation models and compare their climate projections. This work is of national and international relevance as it can help guide climate model design and the use and interpretation of climate projections.
Nathan P. Gillett, Isla R. Simpson, Gabi Hegerl, Reto Knutti, Dann Mitchell, Aurélien Ribes, Hideo Shiogama, Dáithí Stone, Claudia Tebaldi, Piotr Wolski, Wenxia Zhang, and Vivek K. Arora
EGUsphere, https://doi.org/10.5194/egusphere-2024-4086, https://doi.org/10.5194/egusphere-2024-4086, 2025
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Climate model simulations of the response to human and natural influences together, natural climate influences alone, and greenhouse gases alone, among others, are key to quantifying human influence on the climate. The last set of such coordinated simulations underpinned key findings in the last Intergovernmental Panel on Climate Change (IPCC) report. Here we propose a new set of such simulations to be used in the next generation of attribution studies, and to underpin the next IPCC report.
Katherine Grayson, Stephan Thober, Aleksander Lacima-Nadolnik, Ehsan Sharifi, Llorenç Lledó, and Francisco Doblas-Reyes
EGUsphere, https://doi.org/10.5194/egusphere-2025-28, https://doi.org/10.5194/egusphere-2025-28, 2025
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To provide the most accurate climate adaptation information, climate models are being run with finer grid resolution, resulting in larger data output. This paper presents intelligent data reduction algorithms that act on streamed data, a novel way of processing climate data as soon as it is produced. Using these algorithms to calculate statistics, we show that the accuracy provided is well within acceptable bounds while still providing memory savings that bypass unfeasible storage requirements.
Jiawang Feng, Chun Zhao, Qiuyan Du, Zining Yang, and Chen Jin
Geosci. Model Dev., 18, 585–603, https://doi.org/10.5194/gmd-18-585-2025, https://doi.org/10.5194/gmd-18-585-2025, 2025
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In this study, we improved the calculation of how aerosols in the air interact with radiation in WRF-Chem. The original model used a simplified method, but we developed a more accurate approach. We found that this method significantly changes the properties of the estimated aerosols and their effects on radiation, especially for dust aerosols. It also impacts the simulated weather conditions. Our work highlights the importance of correctly representing aerosol–radiation interactions in models.
Eduardo Moreno-Chamarro, Thomas Arsouze, Mario Acosta, Pierre-Antoine Bretonnière, Miguel Castrillo, Eric Ferrer, Amanda Frigola, Daria Kuznetsova, Eneko Martin-Martinez, Pablo Ortega, and Sergi Palomas
Geosci. Model Dev., 18, 461–482, https://doi.org/10.5194/gmd-18-461-2025, https://doi.org/10.5194/gmd-18-461-2025, 2025
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We present the high-resolution model version of the EC-Earth global climate model to contribute to HighResMIP. The combined model resolution is about 10–15 km in both the ocean and atmosphere, which makes it one of the finest ever used to complete historical and scenario simulations. This model is compared with two lower-resolution versions, with a 100 km and a 25 km grid. The three models are compared with observations to study the improvements thanks to the increased resolution.
Catherine Guiavarc'h, David Storkey, Adam T. Blaker, Ed Blockley, Alex Megann, Helene Hewitt, Michael J. Bell, Daley Calvert, Dan Copsey, Bablu Sinha, Sophia Moreton, Pierre Mathiot, and Bo An
Geosci. Model Dev., 18, 377–403, https://doi.org/10.5194/gmd-18-377-2025, https://doi.org/10.5194/gmd-18-377-2025, 2025
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The Global Ocean and Sea Ice configuration version 9 (GOSI9) is the new UK hierarchy of model configurations based on the Nucleus for European Modelling of the Ocean (NEMO) and available at three resolutions. It will be used for various applications, e.g. weather forecasting and climate prediction. It improves upon the previous version by reducing global temperature and salinity biases and enhancing the representation of Arctic sea ice and the Antarctic Circumpolar Current.
Nick Schüßler, Jewgenij Torizin, Claudia Gunkel, Karsten Schütze, Lars Tiepolt, Dirk Kuhn, Michael Fuchs, and Steffen Prüfer
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-209, https://doi.org/10.5194/gmd-2024-209, 2025
Revised manuscript accepted for GMD
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FACA – Fully Automated Co-Alignment – is a tool designed to generate co-aligned point clouds. We aim to accelerate the application of the co-alignment method and achieve fast results with evolving temporal data and minimal site-specific preparation. FACA offers multiple ways to interact with the workflow, enabling new users to quickly generate initial results through the custom interface, as well as integration into larger automated workflows via the command line. Test datasets are provided.
Andy Richling, Jens Grieger, and Henning W. Rust
Geosci. Model Dev., 18, 361–375, https://doi.org/10.5194/gmd-18-361-2025, https://doi.org/10.5194/gmd-18-361-2025, 2025
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The performance of weather and climate prediction systems is variable in time and space. It is of interest how this performance varies in different situations. We provide a decomposition of a skill score (a measure of forecast performance) as a tool for detailed assessment of performance variability to support model development or forecast improvement. The framework is exemplified with decadal forecasts to assess the impact of different ocean states in the North Atlantic on temperature forecast.
Maria R. Russo, Sadie L. Bartholomew, David Hassell, Alex M. Mason, Erica Neininger, A. James Perman, David A. J. Sproson, Duncan Watson-Parris, and Nathan Luke Abraham
Geosci. Model Dev., 18, 181–191, https://doi.org/10.5194/gmd-18-181-2025, https://doi.org/10.5194/gmd-18-181-2025, 2025
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Observational data and modelling capabilities have expanded in recent years, but there are still barriers preventing these two data sources from being used in synergy. Proper comparison requires generating, storing, and handling a large amount of data. This work describes the first step in the development of a new set of software tools, the VISION toolkit, which can enable the easy and efficient integration of observational and model data required for model evaluation.
Bijan Fallah, Masoud Rostami, Emmanuele Russo, Paula Harder, Christoph Menz, Peter Hoffmann, Iulii Didovets, and Fred F. Hattermann
Geosci. Model Dev., 18, 161–180, https://doi.org/10.5194/gmd-18-161-2025, https://doi.org/10.5194/gmd-18-161-2025, 2025
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We tried to contribute to a local climate change impact study in central Asia, a region that is water-scarce and vulnerable to global climate change. We use regional models and machine learning to produce reliable local data from global climate models. We find that regional models show more realistic and detailed changes in heavy precipitation than global climate models. Our work can help assess the future risks of extreme events and plan adaptation strategies in central Asia.
Manuel Schlund, Bouwe Andela, Jörg Benke, Ruth Comer, Birgit Hassler, Emma Hogan, Peter Kalverla, Axel Lauer, Bill Little, Saskia Loosveldt Tomas, Francesco Nattino, Patrick Peglar, Valeriu Predoi, Stef Smeets, Stephen Worsley, Martin Yeo, and Klaus Zimmermann
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-236, https://doi.org/10.5194/gmd-2024-236, 2025
Revised manuscript accepted for GMD
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The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool for the evaluation of Earth system models. Here, we describe recent significant improvements of ESMValTool’s computational efficiency including parallel, out-of-core, and distributed computing. Evaluations with the enhanced version of ESMValTool are faster, use less computational resources, and can handle input data larger than the available memory.
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...
