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Evaluation of native Earth system model output with ESMValTool v2.6.0

Schlund, Manuel and Hassler, Birgit and Lauer, Axel and Andela, Bouwe and Jöckel, Patrick and Kazeroni, Rémi and Loosveldt Tomas, Saskia and Medeiros, Brian and Predoi, Valeriu and Sénési, Stéphane and Servonnat, Jérôme and Stacke, Tobias and Vegas-Regidor, Javier and Zimmermann, Klaus and Eyring, Veronika (2023) Evaluation of native Earth system model output with ESMValTool v2.6.0. Geoscientific Model Development, 16, pp. 315-333. Copernicus Publications. doi: 10.5194/gmd-16-315-2023. ISSN 1991-959X.

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Official URL: https://gmd.copernicus.org/articles/16/315/2023/


Earth system models (ESMs) are state-of-the-art climate models that allow numerical simulations of the past, present-day, and future climate. To extend our understanding of the Earth system and improve climate change projections, the complexity of ESMs heavily increased over the last decades. As a consequence, the amount and volume of data provided by ESMs has increased considerably. Innovative tools for a comprehensive model evaluation and analysis are required to assess the performance of these increasingly complex ESMs against observations or reanalyses. One of these tools is the Earth System Model Evaluation Tool (ESMValTool), a community diagnostic and performance metrics tool for the evaluation of ESMs. Input data for ESMValTool needs to be formatted according to the CMOR (Climate Model Output Rewriter) standard, a process that is usually referred to as "CMORization". While this is a quasi-standard for large model intercomparison projects like the Coupled Model Intercomparison Project (CMIP), this complicates the application of ESMValTool to non-CMOR-compliant climate model output. In this paper, we describe an extension of ESMValTool introduced in v2.6.0 that allows seamless reading and processing of "native" climate model output, i.e., operational output produced by running the climate model through the standard workflow of the corresponding modeling institute. This is achieved by an extension of ESMValTool's preprocessing pipeline that performs a CMOR-like reformatting of the native model output during runtime. Thus, the rich collection of diagnostics provided by ESMValTool is now fully available for these models. For models that use unstructured grids, a further preprocessing step required to apply many common diagnostics is regridding to a regular latitude–longitude grid. Extensions to ESMValTool's regridding functions described here allow for more flexible interpolation schemes that can be used on unstructured grids. Currently, ESMValTool supports nearest-neighbor, bilinear, and first-order conservative regridding from unstructured grids to regular grids. Example applications of this new native model support are the evaluation of new model setups against predecessor versions, assessing of the performance of different simulations against observations, CMORization of native model data for contributions to model intercomparison projects, and monitoring of running climate model simulations. For the latter, new general-purpose diagnostics have been added to ESMValTool that are able to plot a wide range of variable types. Currently, five climate models are supported: CESM2 (experimental; at the moment, only surface variables are available), EC-Earth3, EMAC, ICON, and IPSL-CM6. As the framework for the CMOR-like reformatting of native model output described here is implemented in a general way, support for other climate models can be easily added.

Item URL in elib:https://elib.dlr.de/193362/
Document Type:Article
Title:Evaluation of native Earth system model output with ESMValTool v2.6.0
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schlund, ManuelDLR, IPAhttps://orcid.org/0000-0001-5251-0158UNSPECIFIED
Lauer, AxelDLR, IPAhttps://orcid.org/0000-0002-9270-1044UNSPECIFIED
Andela, BouweNetherlands eScience Center, Amsterdam, NetherlandsUNSPECIFIEDUNSPECIFIED
Jöckel, PatrickDLR, IPAhttps://orcid.org/0000-0002-8964-1394UNSPECIFIED
Loosveldt Tomas, SaskiaBarcelona Supercomputing Center, Barcelona, SpanienUNSPECIFIEDUNSPECIFIED
Medeiros, BrianClimate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USAUNSPECIFIEDUNSPECIFIED
Sénési, StéphaneStéphane Sénési EIRL, Colomiers, FranceUNSPECIFIEDUNSPECIFIED
Servonnat, JérômeLaboratoire des Sciences du Climat et de l’Environnement, Gif sur Yvette, FranceUNSPECIFIEDUNSPECIFIED
Stacke, TobiasMPI für Meteorologie, HamburgUNSPECIFIEDUNSPECIFIED
Vegas-Regidor, JavierBarcelona Supercomputing Center, Barcelona, SpainUNSPECIFIEDUNSPECIFIED
Zimmermann, KlausSMHI, Norrköping, SchwedenUNSPECIFIEDUNSPECIFIED
Eyring, VeronikaDLR, IPAhttps://orcid.org/0000-0002-6887-4885UNSPECIFIED
Date:11 January 2023
Journal or Publication Title:Geoscientific Model Development
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Page Range:pp. 315-333
Publisher:Copernicus Publications
Keywords:Erdsystemmodell, Klimamodell, ESMValTool
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
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Earth System Model Evaluation and Analysis
Deposited By: Schlund, Manuel
Deposited On:16 Jan 2023 12:44
Last Modified:16 Jan 2023 12:44

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