ESMValTool (v1.0) – a community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

• Published in: Geoscientific Model Development
• Main Authors: Eyring, Veronika, Righi, Mattia, Lauer, Axel, Evaldsson, Martin, Wenzel, Sabrina, Jones, Colin, Anav, Alessandro, Andrews, Oliver, Cionni, Irene, Davin, Edouard, Deser, Clara, Ehbrecht, Carsten, Friedlingstein, Pierre, Gleckler, Peter, Gottschaldt, K., Hagemann, Stefan, Juckes, Martin, Kindermann, Stephan, Krasting, John, Kunert, Dominik, Levine, Richard, Loew, Alexander, Mäkelä, Jarmo, Martin, Gill, Mason, Eric, Phillips, Adam S., Read, Simon, Rio, Catherine, Roehrig, Romain, Senftleben, Daniel, Sterl, Andreas, van Ulft, Lambertus H., Walton, Jeremy, Wang, Shiyu, Williams, Keith D.
• Format: Article in Journal/Newspaper
• Language: German
• Published: Copernicus Publications 2016
• Subjects: Erdsystem-Modellierung; Southern Ocean
• Online Access: https://elib.dlr.de/105158/; https://elib.dlr.de/105158/1/gmd-9-1747-2016.pdf; http://www.geosci-model-dev.net/9/1747/2016/

A community diagnostics and performance metrics tool for the evaluation of Earth system models (ESMs) has been developed that allows for routine comparison of single or multiple models, either against predecessor versions or against observations. The priority of the effort so far has been to target specific scientific themes focusing on selected essential climate variables (ECVs), a range of known systematic biases common to ESMs, such as coupled tropical climate variability, monsoons, Southern Ocean processes, continental dry biases, and soil hydrology–climate interactions, as well as atmospheric CO2 budgets, tropospheric and stratospheric ozone, and tropospheric aerosols.