Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3159-2021
© 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-14-3159-2021
© 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
| 
03 Jun 2021
Model evaluation paper |
| 03 Jun 2021
| 03 Jun 2021
Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP
Katja Weigel
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Lisa Bock
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Bettina K. Gier
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Axel Lauer
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Mattia Righi
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Manuel Schlund
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Kemisola Adeniyi
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Bouwe Andela
Netherlands eScience Center (NLeSC), Amsterdam, the Netherlands
Enrico Arnone
Institute of Atmospheric Sciences and Climate, Consiglio Nazionale
delle Ricerche (ISAC-CNR), Italy
Department of Physics, University of Torino, Italy
Peter Berg
Hydrology research unit, Swedish Meteorological and Hydrological
Institute (SMHI), Sweden
Louis-Philippe Caron
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Irene Cionni
Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo
economico sostenibile (ENEA), Rome, Italy
Susanna Corti
Institute of Atmospheric Sciences and Climate, Consiglio Nazionale
delle Ricerche (ISAC-CNR), Italy
Niels Drost
Netherlands eScience Center (NLeSC), Amsterdam, the Netherlands
Alasdair Hunter
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Llorenç Lledó
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Christian Wilhelm Mohr
CICERO – Center for International Climate Research, Oslo, Norway
now at: Division for Forestry and Forest Resources, The Norwegian
Institute of Bioeconomy Research (NIBIO), Ås, Norway
Aytaç Paçal
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Núria Pérez-Zanón
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Valeriu Predoi
NCAS Computational Modelling Services (CMS), University of Reading,
Reading, UK
Marit Sandstad
CICERO – Center for International Climate Research, Oslo, Norway
Jana Sillmann
CICERO – Center for International Climate Research, Oslo, Norway
Andreas Sterl
Royal Netherlands Meteorological Institute (KNMI), de Bilt, the
Netherlands
Javier Vegas-Regidor
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Jost von Hardenberg
Department of Environment, Land and Infrastructure Engineering,
Politecnico di Torino, Turin, Italy
Institute of Atmospheric Sciences and Climate, Consiglio Nazionale
delle Ricerche (ISAC-CNR), Italy
Veronika Eyring
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Institute of Environmental Physics (IUP), University of Bremen,
Bremen, Germany
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Cited
28 citations as recorded by crossref.
- A Review of Research Progress on Numerical Model Verification and Evaluation in China H. Chen et al.
- Historical model biases in monthly high temperature anomalies indicate under-estimation of future temperature extremes L. Duan et al.
- Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al.
- Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al.
- Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al.
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al.
- Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al.
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer
- Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al.
- CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al.
- Demystifying global climate models for use in the life sciences D. Schoeman et al.
- Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer
- Can limiting global temperature rise to below 2°C warming prevent the emergence of unprecedented drought? Y. Ji et al.
- Soaring residential energy consumption due to rising heat indexes in the eastern Arabian Peninsula A. Hzami et al.
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al.
- Baseline Climate Variables for Earth System Modelling M. Juckes et al.
- Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning A. Grundner et al.
- Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al.
- Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al.
- Arctic Climate Threat Indicator Set for Municipal Decision-Making J. Tafrate & K. Nyland
- Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al.
- Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM) J. Contzen et al.
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al.
- Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al.
- OpenBench: a land model evaluation system Z. Wei et al.
- Spatial and Temporal Analysis of Quantitative Risk of Flood due to Climate Change in a China’s Plateau Province B. Wu et al.
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al.
- Various ways of using empirical orthogonal functions for climate model evaluation R. Benestad et al.
28 citations as recorded by crossref.
- A Review of Research Progress on Numerical Model Verification and Evaluation in China H. Chen et al.
- Historical model biases in monthly high temperature anomalies indicate under-estimation of future temperature extremes L. Duan et al.
- Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al.
- Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al.
- Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al.
- An open workflow to gain insights about low‐likelihood high‐impact weather events from initialized predictions T. Kelder et al.
- Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al.
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer
- Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al.
- CSIndicators: Get tailored climate indicators for applications in your sector N. Pérez-Zanón et al.
- Demystifying global climate models for use in the life sciences D. Schoeman et al.
- Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer
- Can limiting global temperature rise to below 2°C warming prevent the emergence of unprecedented drought? Y. Ji et al.
- Soaring residential energy consumption due to rising heat indexes in the eastern Arabian Peninsula A. Hzami et al.
- Interpreting extreme climate impacts from large ensemble simulations—are they unseen or unrealistic? T. Kelder et al.
- Baseline Climate Variables for Earth System Modelling M. Juckes et al.
- Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning A. Grundner et al.
- Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al.
- Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al.
- Arctic Climate Threat Indicator Set for Municipal Decision-Making J. Tafrate & K. Nyland
- Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al.
- Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM) J. Contzen et al.
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al.
- Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al.
- OpenBench: a land model evaluation system Z. Wei et al.
- Spatial and Temporal Analysis of Quantitative Risk of Flood due to Climate Change in a China’s Plateau Province B. Wu et al.
- Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model J. Aerts et al.
- Various ways of using empirical orthogonal functions for climate model evaluation R. Benestad et al.
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Short summary
This work presents new diagnostics for the Earth System Model Evaluation Tool (ESMValTool) v2.0 on the hydrological cycle, extreme events, impact assessment, regional evaluations, and ensemble member selection. The ESMValTool v2.0 diagnostics are developed by a large community of scientists aiming to facilitate the evaluation and comparison of Earth system models (ESMs) with a focus on the ESMs participating in the Coupled Model Intercomparison Project (CMIP).
This work presents new diagnostics for the Earth System Model Evaluation Tool (ESMValTool) v2.0...
