Earth System Model Evaluation Tool (ESMValTool) v2.0-diagnostics for extreme events, regional and impact evaluation, and analysis of Earth system models in CMIP

Autor: Weigel, Katja, Bock, Lisa, Gier, Bettina K., Lauer, Axel, Righi, Mattia, Schlund, Manuel, Adeniyi, Kemisola, Andela, Bouwe, Arnone, Enrico, Berg, Peter, Caron, Louis-Philippe, Cionni, Irene, Corti, Susanna, Drost, Niels, Hunter, Alasdair, Lledó, Llorenç, Mohr, Christian Wilhelm, Paçal, Aytaç, Pérez-Zanón, Núria, Predoi, Valeriu, Sandstad, Marit, Sillmann, Jana, Sterl, Andreas, Vegas-Regidor, Javier, Von Hardenberg, Jost, Eyring, Veronika

Externí odkaz: https://hdl.handle.net/11250/2987270

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

Autor: Eyring, Veronika, Bock, Lisa, Lauer, Axel, Righi, Mattia, Schlund, Manuel, Andela, Bouwe, Arnone, Enrico, Bellprat, Omar, Brötz, Björn, Caron, Louis-Philippe, Carvalhais, Nuno, Cionni, Irene, Cortesi, Nicola, Crezee, Bas, Davin, Édouard L., Davini, Paolo, Debeire, Kevin, de Mora, Lee, Deser, Clara, Docquier, David, Earnshaw, Paul, Ehbrecht, Carsten, Gier, Bettina K., Gonzalez-Reviriego, Nube, Goodman, Paul, Hagemann, Stefan, Hardiman, Steven, Hassler, Birgit, Hunter, Alasdair, Kadow, Christopher, Kindermann, Stephan, Koirala, Sujan, Koldunov, Nikolay, Lejeune, Quentin, Lembo, Valerio, Lovato, Tomas, Lucarini, Valerio, Massonnet, François, Müller, Benjamin, Pandde, Amarjiit, Pérez-Zanón, Núria, Phillips, Adam, Predoi, Valeriu, Russell, Joellen, Sellar, Alistair, Serva, Federico, Stacke, Tobias, Swaminathan, Ranjini, Torralba, Verónica, Vegas-Regidor, Javier, von Hardenberg, Jost, Weigel, Katja, Zimmermann, Klaus

Publikováno v: UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Geoscientific Model Development
Geoscientific Model Development, Vol. 13, no.7, p. 3383-3438 (2020)
Eyring, Veronika; Bock, Lisa; Lauer, Axel; Righi, Mattia; Schlund, Manuel; Andela, Bouwe; Arnone, Enrico; Bellprat, Omar; Brötz, Björn; Caron, Louis-Philippe; Carvalhais, Nuno; Cionni, Irene; Cortesi, Nicola; Crezee, Bas; Davin, Édouard L.; Davini, Paolo; Debeire, Kevin; de Mora, Lee; Deser, Clara; Docquier, David; ... (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. Geoscientific model development (GMD), 13(7), pp. 3383-3438. Copernicus Publications 10.5194/gmd-13-3383-2020
Geoscientific Model Development, 13 (7)
Geoscientific Model Development (1991-959X) (Copernicus Gesellschaft Mbh), 2020-07, Vol. 13, N. 7, P. 3383-3438

The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool designed to improve comprehensive and routine evaluation of Earth system models (ESMs) participating in the Coupled Model Intercomparison Proj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f4109838e2f9dfa9ca4345c68b42fda
https://hdl.handle.net/2117/328212

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Spatially resolved evaluation of Earth system models with satellite column averaged CO2.

Autor: Gier, Bettina K., Buchwitz, Michael, Reuter, Maximilian, Cox, Peter M., Friedlingstein, Pierre, Eyring, Veronika

Publikováno v: Biogeosciences Discussions; 6/19/2020, p1-40, 40p

Taking climate model evaluation to the next level

Autor: Eyring, Veronika, Cox, Peter M., Flato, Gregory M., Gleckler, Peter J., Abramowitz, Gab, Caldwell, Peter, Collins, William D., Gier, Bettina K., Hall, Alex D., Hoffman, Forrest M., Hurtt, George C., Jahn, Alexandra, Jones, Chris D., Klein, Stephen A., Krasting, John P., Kwiatkowski, Lester, Lorenz, Ruth, Maloney, Eric, Meehl, Gerald A., Pendergrass, Angeline G., Pincus, Robert, Ruane, Alex C., Russell, Joellen L., Sanderson, Benjamin M., Santer, Benjamin D., Sherwood, Steven C., Simpson, Isla R., Stouffer, Ronald J., Williamson, Mark S.

Earth system models are complex and represent a large number of processes, resulting in a persistent spread across climate projections for a given future scenario. Owing to different model performances against observations and the lack of independenc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::593454f4b5f1e0501f1a75966ff2506e