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Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool

Lauer, Axel and Eyring, Veronika and Righi, Mattia and Buchwitz, Michael and Defourny, Pierre and Evaldsson, Martin and Friedlingstein, Pierre and de Jeu, Richard and de Leeuw, Gerrit and Loew, Alexander and Merchant, C. and Müller, Benjamin and Popp, Thomas and Reuter, Maximilian and Sandven, Stein and Senftleben, Daniel and Stengel, Martin and Van Roozendael, Michel and Wenzel, Sabrina and Willen, Ulrika (2017) Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool. Remote Sensing of Environment, 203, pp. 9-39. Elsevier. doi: 10.1016/j.rse.2017.01.007. ISSN 0034-4257.

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Official URL: https://www.sciencedirect.com/science/article/pii/S003442571730007X

Abstract

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.

Item URL in elib:https://elib.dlr.de/112446/
Document Type:Article
Title:Benchmarking CMIP5 models with a subset of ESA CCI Phase 2 data using the ESMValTool
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lauer, AxelDLR, IPAhttps://orcid.org/0000-0002-9270-1044UNSPECIFIED
Eyring, VeronikaDLR, IPAhttps://orcid.org/0000-0002-6887-4885UNSPECIFIED
Righi, MattiaDLR, IPAhttps://orcid.org/0000-0003-3827-5950UNSPECIFIED
Buchwitz, MichaelUniv. BremenUNSPECIFIEDUNSPECIFIED
Defourny, PierreUniv. Louvain, BelgienUNSPECIFIEDUNSPECIFIED
Evaldsson, MartinSMHI, Norrköping, SchwedenUNSPECIFIEDUNSPECIFIED
Friedlingstein, PierreUniv. Exeter, UKUNSPECIFIEDUNSPECIFIED
de Jeu, RichardSpace Technology Center, Noordwijk, NiederlandeUNSPECIFIEDUNSPECIFIED
de Leeuw, GerritFMI, Helsinki, FinnlandUNSPECIFIEDUNSPECIFIED
Loew, AlexanderLMU MünchenUNSPECIFIEDUNSPECIFIED
Merchant, C.Univ. Reading, UKUNSPECIFIEDUNSPECIFIED
Müller, BenjaminLMU MünchenUNSPECIFIEDUNSPECIFIED
Popp, ThomasDLR, DFDhttps://orcid.org/0000-0002-1970-8733UNSPECIFIED
Reuter, MaximilianUniv. BremenUNSPECIFIEDUNSPECIFIED
Sandven, SteinNansen Center, Bergen, NorwegenUNSPECIFIEDUNSPECIFIED
Senftleben, DanielDLR, IPAhttps://orcid.org/0000-0001-5798-1119UNSPECIFIED
Stengel, MartinDWD, Offenbach, GermanyUNSPECIFIEDUNSPECIFIED
Van Roozendael, MichelNansen Center, Bergen, NorwegenUNSPECIFIEDUNSPECIFIED
Wenzel, SabrinaDLR, IPAUNSPECIFIEDUNSPECIFIED
Willen, UlrikaSMHI, Norrköping, SchwedenUNSPECIFIEDUNSPECIFIED
Date:15 December 2017
Journal or Publication Title:Remote Sensing of Environment
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:203
DOI:10.1016/j.rse.2017.01.007
Page Range:pp. 9-39
Publisher:Elsevier
ISSN:0034-4257
Status:Published
Keywords:CMIP5, model evaluation, ESMValTool, CMUG, ESA CCI, satellite data, sea surface temperature, sea ice, cloud, soil moisture, land cover, aerosol, ozone, and greenhouse gases
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Atmospheric and climate research, R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Modelling
German Remote Sensing Data Center > Atmosphere
Deposited By: Lauer, Axel
Deposited On:04 Dec 2017 14:52
Last Modified:02 Nov 2023 13:05

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