Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool
The Coupled Model Intercomparison Project (CMIP) is now moving into its sixth phase and aims at a more routine evaluation of the models as soon as the model output is published to the Earth System Grid Federation (ESGF). To meet this goal the Earth System Model Evaluation Tool (ESMValTool), a commun...
Published in: | Remote Sensing of Environment |
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Online Access: | https://elib.dlr.de/112446/ https://elib.dlr.de/112446/1/Lauer_etal_ESACCI_revised_2_CLEAN.pdf https://www.sciencedirect.com/science/article/pii/S003442571730007X |
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ftdlr:oai:elib.dlr.de:112446 2023-12-03T10:30:14+01:00 Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool Lauer, Axel Eyring, Veronika Righi, Mattia Buchwitz, Michael Defourny, Pierre Evaldsson, Martin Friedlingstein, Pierre de Jeu, Richard de Leeuw, Gerrit Loew, Alexander Merchant, C. Müller, Benjamin Popp, Thomas Reuter, Maximilian Sandven, Stein Senftleben, Daniel Stengel, Martin Van Roozendael, Michel Wenzel, Sabrina Willen, Ulrika 2017-12-15 application/pdf https://elib.dlr.de/112446/ https://elib.dlr.de/112446/1/Lauer_etal_ESACCI_revised_2_CLEAN.pdf https://www.sciencedirect.com/science/article/pii/S003442571730007X de ger Elsevier https://elib.dlr.de/112446/1/Lauer_etal_ESACCI_revised_2_CLEAN.pdf Lauer, Axel und Eyring, Veronika und Righi, Mattia und Buchwitz, Michael und Defourny, Pierre und Evaldsson, Martin und Friedlingstein, Pierre und de Jeu, Richard und de Leeuw, Gerrit und Loew, Alexander und Merchant, C. und Müller, Benjamin und Popp, Thomas und Reuter, Maximilian und Sandven, Stein und Senftleben, Daniel und Stengel, Martin und Van Roozendael, Michel und Wenzel, Sabrina und Willen, Ulrika (2017) Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 203, Seiten 9-39. Elsevier. doi:10.1016/j.rse.2017.01.007 <https://doi.org/10.1016/j.rse.2017.01.007>. ISSN 0034-4257. cc_by_nc_nd Erdsystem-Modellierung Atmosphäre Zeitschriftenbeitrag PeerReviewed 2017 ftdlr https://doi.org/10.1016/j.rse.2017.01.007 2023-11-06T00:23:57Z The Coupled Model Intercomparison Project (CMIP) is now moving into its sixth phase and aims at a more routine evaluation of the models as soon as the model output is published to the Earth System Grid Federation (ESGF). To meet this goal the Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for the systematic evaluation of Earth system models (ESMs) in CMIP, has been developed and a first version (1.0) released as open source software in 2015. Here, an enhanced version of the ESMValTool is presented that exploits a subset of Essential Climate Variables (ECVs) from the European Space Agency's Climate Change Initiative (ESA CCI) Phase 2 and this version is used to demonstrate the value of the data for model evaluation. This subset includes consistent, long-term time series of ECVs obtained from harmonized, reprocessed products from different satellite instruments for sea surface temperature, sea ice, cloud, soil moisture, land cover, aerosol, ozone, and greenhouse gases. The ESA CCI data allow extending the calculation of performance metrics as summary statistics for some variables and add an important alternative data set in other cases where observations are already available. The provision of uncertainty estimates on a per grid basis for the ESA CCI data sets is used in a new extended version of the Taylor diagram and provides important addi-tional information for a more objective evaluation of the models. In our analysis we place a specific focus on the comparability of model and satellite data both in time and space. The ESA CCI data are well suited for an evaluation of results from global climate models across ESM compartments as well as an analysis of long-term trends, variability and change in the context of a changing climate. The enhanced version of the ESMValTool is released as open source software and ready to support routine model evaluation in CMIP6 and at individual modeling centers. Article in Journal/Newspaper Sea ice German Aerospace Center: elib - DLR electronic library Remote Sensing of Environment 203 9 39 |
institution |
Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
German |
topic |
Erdsystem-Modellierung Atmosphäre |
spellingShingle |
Erdsystem-Modellierung Atmosphäre Lauer, Axel Eyring, Veronika Righi, Mattia Buchwitz, Michael Defourny, Pierre Evaldsson, Martin Friedlingstein, Pierre de Jeu, Richard de Leeuw, Gerrit Loew, Alexander Merchant, C. Müller, Benjamin Popp, Thomas Reuter, Maximilian Sandven, Stein Senftleben, Daniel Stengel, Martin Van Roozendael, Michel Wenzel, Sabrina Willen, Ulrika Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
topic_facet |
Erdsystem-Modellierung Atmosphäre |
description |
The Coupled Model Intercomparison Project (CMIP) is now moving into its sixth phase and aims at a more routine evaluation of the models as soon as the model output is published to the Earth System Grid Federation (ESGF). To meet this goal the Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for the systematic evaluation of Earth system models (ESMs) in CMIP, has been developed and a first version (1.0) released as open source software in 2015. Here, an enhanced version of the ESMValTool is presented that exploits a subset of Essential Climate Variables (ECVs) from the European Space Agency's Climate Change Initiative (ESA CCI) Phase 2 and this version is used to demonstrate the value of the data for model evaluation. This subset includes consistent, long-term time series of ECVs obtained from harmonized, reprocessed products from different satellite instruments for sea surface temperature, sea ice, cloud, soil moisture, land cover, aerosol, ozone, and greenhouse gases. The ESA CCI data allow extending the calculation of performance metrics as summary statistics for some variables and add an important alternative data set in other cases where observations are already available. The provision of uncertainty estimates on a per grid basis for the ESA CCI data sets is used in a new extended version of the Taylor diagram and provides important addi-tional information for a more objective evaluation of the models. In our analysis we place a specific focus on the comparability of model and satellite data both in time and space. The ESA CCI data are well suited for an evaluation of results from global climate models across ESM compartments as well as an analysis of long-term trends, variability and change in the context of a changing climate. The enhanced version of the ESMValTool is released as open source software and ready to support routine model evaluation in CMIP6 and at individual modeling centers. |
format |
Article in Journal/Newspaper |
author |
Lauer, Axel Eyring, Veronika Righi, Mattia Buchwitz, Michael Defourny, Pierre Evaldsson, Martin Friedlingstein, Pierre de Jeu, Richard de Leeuw, Gerrit Loew, Alexander Merchant, C. Müller, Benjamin Popp, Thomas Reuter, Maximilian Sandven, Stein Senftleben, Daniel Stengel, Martin Van Roozendael, Michel Wenzel, Sabrina Willen, Ulrika |
author_facet |
Lauer, Axel Eyring, Veronika Righi, Mattia Buchwitz, Michael Defourny, Pierre Evaldsson, Martin Friedlingstein, Pierre de Jeu, Richard de Leeuw, Gerrit Loew, Alexander Merchant, C. Müller, Benjamin Popp, Thomas Reuter, Maximilian Sandven, Stein Senftleben, Daniel Stengel, Martin Van Roozendael, Michel Wenzel, Sabrina Willen, Ulrika |
author_sort |
Lauer, Axel |
title |
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
title_short |
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
title_full |
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
title_fullStr |
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
title_full_unstemmed |
Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool |
title_sort |
benchmarking cmip5 models with a subset of esa cci phase 2 data using the esmvaltool |
publisher |
Elsevier |
publishDate |
2017 |
url |
https://elib.dlr.de/112446/ https://elib.dlr.de/112446/1/Lauer_etal_ESACCI_revised_2_CLEAN.pdf https://www.sciencedirect.com/science/article/pii/S003442571730007X |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://elib.dlr.de/112446/1/Lauer_etal_ESACCI_revised_2_CLEAN.pdf Lauer, Axel und Eyring, Veronika und Righi, Mattia und Buchwitz, Michael und Defourny, Pierre und Evaldsson, Martin und Friedlingstein, Pierre und de Jeu, Richard und de Leeuw, Gerrit und Loew, Alexander und Merchant, C. und Müller, Benjamin und Popp, Thomas und Reuter, Maximilian und Sandven, Stein und Senftleben, Daniel und Stengel, Martin und Van Roozendael, Michel und Wenzel, Sabrina und Willen, Ulrika (2017) Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 203, Seiten 9-39. Elsevier. doi:10.1016/j.rse.2017.01.007 <https://doi.org/10.1016/j.rse.2017.01.007>. ISSN 0034-4257. |
op_rights |
cc_by_nc_nd |
op_doi |
https://doi.org/10.1016/j.rse.2017.01.007 |
container_title |
Remote Sensing of Environment |
container_volume |
203 |
container_start_page |
9 |
op_container_end_page |
39 |
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1784255946768252928 |