Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.240
IF5.240
IF 5-year value: 5.768
IF 5-year
5.768
CiteScore value: 8.9
CiteScore
8.9
SNIP value: 1.713
SNIP1.713
IPP value: 5.53
IPP5.53
SJR value: 3.18
SJR3.18
Scimago H <br class='widget-line-break'>index value: 71
Scimago H
index
71
h5-index value: 51
h5-index51
Preprints
https://doi.org/10.5194/gmd-2020-244
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-244
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model evaluation paper 09 Oct 2020

Submitted as: model evaluation paper | 09 Oct 2020

Review status
This preprint is currently under review for the journal GMD.

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 Weigel1,2, Lisa Bock2, Bettina K. Gier1,2, Axel Lauer2, Mattia Righi2, Manuel Schlund2, Kemisola Adeniyi1,2, Bouwe Andela3, Enrico Arnone4,5, Peter Berg6, Louis-Philippe Caron7, Irene Cionni8, Susanna Corti4, Niels Drost3, Alasdair Hunter7, Llorenç Lledó7, Christian Wilhelm Mohr9,a, Aytaç Paçal2, Núria Pérez-Zanón7, Valeriu Predoi10, Marit Sandstad9, Jana Sillmann9, Andreas Sterl11, Javier Vegas-Regidor7, Jost von Hardenberg12,4, and Veronika Eyring2,1 Katja Weigel et al.
  • 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.

Interactive discussion

Status: open (until 04 Dec 2020)
Status: open (until 04 Dec 2020)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement

Katja Weigel et al.

Model code and software

ESMValTool v2.0 Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, AxelLauer, Benjamin Mueller, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Kemisola Adeniyi, Enrico Arnone, Omar Bellprat, Peter Berg, Lisa Bock, Louis-Philippe Caron, Nuno Carvalhais, Irene Cionni, Nicola Cortesi, Susanna Corti, Bas Crezee, Edouard Leopold Davin, Paolo Davini, Clara Deser, Faruk Diblen, David Docquier, Laura Dreyer, Carsten Ehbrecht, Paul Earnshaw, Bettina Gier, Nube Gonzalez-Reviriego, Paul Goodman, Stefan Hagemann, Jost von Hardenberg, Birgit Hassler, Alasdair Hunter, Christopher Kadow, Stephan Kindermann, Sujan Koirala, Llorenç Lledó, Quentin Lejeune, Valerio Lembo, Bill Little, Saskia Loosveldt-Tomas, Ruth Lorenz, Tomas Lovato, Valerio Lucarini, François Massonnet, Christian Wilhelm Mohr, Pandde Amarjiit, Núria Pérez-Zanón, Adam Phillips, Joellen Russell, Marit Sandstad, Alistair Sellar, Daniel Senftleben, Federico Serva, Jana Sillmann, Tobias Stacke, Ranjini Swaminathan, Verónica Torralba, and Katja Weigel https://doi.org/10.5281/zenodo.3970975

ESMValCore Bouwe Andela, Bjoern Broetz, Lee de Mora, Niels Drost, Veronika Eyring, Nikolay Koldunov, Axel Lauer, Valeriu Predoi, Mattia Righi, Manuel Schlund, Javier Vegas-Regidor, Klaus Zimmermann, Lisa Bock, Faruk Diblen, Laura Dreyer, Paul Earnshaw, Birgit Hassler, Bill Little, and Saskia Loosveldt-Tomas https://doi.org/10.5281/zenodo.3952695

Katja Weigel et al.

Viewed

Total article views: 223 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
170 52 1 223 3 1
  • HTML: 170
  • PDF: 52
  • XML: 1
  • Total: 223
  • BibTeX: 3
  • EndNote: 1
Views and downloads (calculated since 09 Oct 2020)
Cumulative views and downloads (calculated since 09 Oct 2020)

Viewed (geographical distribution)

Total article views: 192 (including HTML, PDF, and XML) Thereof 190 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved

No saved metrics found.

Discussed

No discussed metrics found.
Latest update: 23 Oct 2020
Publications Copernicus
Download
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 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...
Citation