Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for extreme events, regional and impact evaluation and analysis of Earth system models in CMIP
- 1University of Bremen, Institute of Environmental Physics (IUP), Bremen, Germany
- 2Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
- 3Netherlands eScience Center (NLeSC), Amsterdam, the Netherlands
- 4Institute of Atmospheric Sciences and Climate, Consiglio Nazionale delle Ricerche (ISAC-CNR), Italy
- 5Department of Physics, University of Torino, Italy
- 6Hydrology research unit, Swedish Meteorological and Hydrological Institute (SMHI), Sweden
- 7Barcelona Supercomputing Center (BSC), Barcelona, Spain
- 8Agenzia nazionale per le nuove tecnologie, l’energia e lo sviluppo economico sostenibile (ENEA), Rome, Italy
- 9CICERO - Center for International Climate Research, Oslo, Norway
- 10CAS Computational Modelling Services (CMS), University of Reading, Reading, UK
- 11Royal Netherlands Meteorological Institute (KNMI), de Bilt, The Netherlands
- 12Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
- anow at: Division for Forestry and Forest Resources, The Norwegian Institute of Bioeconomy Research (NIBIO), Ås, Norway
Abstract. This paper complements a series of now four publications that document the release of the Earth System Model Evaluation Tool (ESMValTool) v2.0. It describes new diagnostics on the hydrological cycle, extreme events, impact assessment, regional evaluations, and ensemble member selection. The diagnostics are developed by a large community of scientists aiming to facilitate the evaluation and comparison of Earth System Models (ESMs) which are participating in the Coupled Model Intercomparison Project (CMIP). The second release of this tool aims to support the evaluation of ESMs participating in CMIP Phase 6 (CMIP6). Furthermore, data sets from other models and observations can be analysed. The diagnostics for the hydrological cycle include several precipitation and drought indices, as well as hydroclimatic intensity and indices from the Expert Team on Climate Change Detection and Indices (ETCCDI). The latter are also used for identification of extreme events and for impact assessment, and to project and characterize the risks and impacts of climate change for natural and socio-economic systems. Further impact assessment diagnostics are included to compute daily temperature ranges and capacity factors for wind and solar energy generation. Regional scales can be analysed with new diagnostics implemented for selected regions and stochastic downscaling. ESMValTool v2.0 also includes diagnostics to analyse large multi-model ensembles including grouping and selecting ensemble members by user specified criteria. Here, we present examples for their capabilities based on the well-established CMIP Phase 5 (CMIP5) data set.
Katja Weigel et al.
Katja Weigel et al.
Katja Weigel et al.
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5 citations as recorded by crossref.
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview M. Righi et al. 10.5194/gmd-13-1179-2020
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – an extended set of large-scale diagnostics for quasi-operational and comprehensive evaluation of Earth system models in CMIP V. Eyring et al. 10.5194/gmd-13-3383-2020
- Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP A. Lauer et al. 10.5194/gmd-13-4205-2020
- Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6 C. Tebaldi et al. 10.5194/esd-12-253-2021
- Spatially resolved evaluation of Earth system models with satellite column-averaged CO<sub>2</sub> B. Gier et al. 10.5194/bg-17-6115-2020