Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4205-2020
© Author(s) 2020. 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-13-4205-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
10 Sep 2020
Methods for assessment of models |
| 10 Sep 2020
| 10 Sep 2020
Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Veronika Eyring
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
University of Bremen, Institute of Environmental Physics (IUP),
Bremen, Germany
Omar Bellprat
Swiss Federal Department of Foreign Affairs, Bern, Switzerland
Lisa Bock
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Bettina K. Gier
University of Bremen, Institute of Environmental Physics (IUP),
Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Alasdair Hunter
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Ruth Lorenz
ETH Zurich, Institute for Atmospheric and Climate Science, Zurich,
Switzerland
Núria Pérez-Zanón
Barcelona Supercomputing Center (BSC), Barcelona, Spain
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
Daniel Senftleben
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Katja Weigel
University of Bremen, Institute of Environmental Physics (IUP),
Bremen, Germany
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
Sabrina Zechlau
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für
Physik der Atmosphäre, Oberpfaffenhofen, Germany
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Cited
26 citations as recorded by crossref.
- Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al.
- Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al.
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP K. Weigel et al.
- Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al.
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al.
- Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al.
- Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al.
- Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al.
- Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al.
- Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al.
- Global warming increases the risk of crop yield failures driven by climate oscillations L. Li et al.
- Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer
- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al.
- Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia C. Roychoudhury et al.
- Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks Z. Labe & E. Barnes
- AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics F. Li et al.
- Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al.
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer
- Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity U. Löptien et al.
- Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning A. Grundner et al.
- Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al.
- Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al.
- Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al.
- Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al.
- Future extreme precipitation changes in the South Asian Summer Monsoon Dominance Region D. Deegala et al.
- Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al.
26 citations as recorded by crossref.
- Do Emergent Constraints on Carbon Cycle Feedbacks Hold in CMIP6? S. Zechlau et al.
- Representation of the terrestrial carbon cycle in CMIP6 B. Gier et al.
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP K. Weigel et al.
- Constraining uncertainty in projected precipitation over land with causal discovery K. Debeire et al.
- Cloud Climatologies from Global Climate Models—A Comparison of CMIP5 and CMIP6 Models with Satellite Data A. Lauer et al.
- Detecting Extreme Temperature Events Using Gaussian Mixture Models A. Paçal et al.
- Human driven climate change increased the likelihood of the 2023 record area burned in Canada M. Kirchmeier-Young et al.
- Quantifying Progress Across Different CMIP Phases With the ESMValTool L. Bock et al.
- Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0 A. Lauer et al.
- Characteristics of agricultural droughts in CMIP6 historical simulations and future projections L. Lindenlaub et al.
- Global warming increases the risk of crop yield failures driven by climate oscillations L. Li et al.
- Cloud properties and their projected changes in CMIP models with low to high climate sensitivity L. Bock & A. Lauer
- Constraining Uncertainty in Projected Gross Primary Production With Machine Learning M. Schlund et al.
- Diagnosing aerosol–meteorological interactions on snow within Earth system models: a proof-of-concept study over High Mountain Asia C. Roychoudhury et al.
- Comparison of Climate Model Large Ensembles With Observations in the Arctic Using Simple Neural Networks Z. Labe & E. Barnes
- AttentionFire_v1.0: interpretable machine learning fire model for burned-area predictions over tropics F. Li et al.
- Evaluation of native Earth system model output with ESMValTool v2.6.0 M. Schlund et al.
- Comparison of Reanalysis and Observational Precipitation Datasets Including ERA5 and WFDE5 B. Hassler & A. Lauer
- Mapping manifestations of parametric uncertainty in projected pelagic oxygen concentrations back to contemporary local model fidelity U. Löptien et al.
- Reduced cloud cover errors in a hybrid AI-climate model through equation discovery and automatic tuning A. Grundner et al.
- Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing M. Schlund et al.
- Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al.
- Evaluating Causal Arctic‐Midlatitude Teleconnections in CMIP6 E. Galytska et al.
- Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6? M. Schlund et al.
- Future extreme precipitation changes in the South Asian Summer Monsoon Dominance Region D. Deegala et al.
- Spatially resolved evaluation of Earth system models with satellite column-averaged CO2 B. Gier et al.
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Short summary
The Earth System Model Evaluation Tool is a community software tool designed for evaluation and analysis of climate models. New features of version 2.0 include analysis scripts for important large-scale features in climate models, diagnostics for extreme events, regional model and impact evaluation. In this paper, newly implemented climate metrics, emergent constraints for climate-relevant feedbacks and diagnostics for future model projections are described and illustrated with examples.
The Earth System Model Evaluation Tool is a community software tool designed for evaluation and...
