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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

Veronika Eyring, +57 more
- 30 Jul 2020 - 
- Vol. 13, Iss: 7, pp 3383-3438
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TLDR
Large-scale diagnostics of the second major release of the ESMValTool tool, a community diagnostics and performance metrics tool designed to improve comprehensive and routine evaluation of Earth system models participating in the Coupled Model Intercomparison Project (CMIP), are described.
Abstract
This research has been supported by Horizon 2020 (grant nos. 641816, 727862, 641727, and 824084), the Copernicus Climate Change Service (C3S) (Metrics and Access to Global Indices for Climate Projections, MAGIC), the Helmholtz Association (Advanced Earth System Model Evaluation for CMIP, EVal4CMIP), the Deutsche Forschungsgemeinschaft (grant no. 274762653), the Federal Ministry of Education and Research (BMBF) (grant no. CMIP6-DICAD), and the European Space Agency (ESA Climate Change Initiative Climate Model User Group, ESA CCI CMUG).

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Quantifying Progress Across Different CMIP Phases With the ESMValTool

TL;DR: More than 40 model groups worldwide are participating in the Coupled model Intercomparison Project Phase 6 (CMIP6), providing a new and rich source of information to better understand past, present, and future climate change.

Towards improved and more routine Earth system model evaluation in CMIP

TL;DR: It is argued that the CMIP community has reached a critical juncture at which many baseline aspects of model evaluation need to be performed much more efficiently and consistently, and a widely accepted quasi-operational evaluation framework for CMIP6 is proposed.
Journal ArticleDOI

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

TL;DR: A critical look at the information infrastructure that connects ecosystem modeling and measurement efforts is taken, and a roadmap to community cyberinfrastructure development is proposed that can reduce the divisions between empirical research and modeling and accelerate the pace of discovery.
Journal ArticleDOI

Evaluation of the Performance of CMIP6 Models in Reproducing Rainfall Patterns over North Africa

TL;DR: In this paper, the performance of 15 CMIP6 models and their ensemble in simulating rainfall during 1951-2014 was evaluated using robust statistical metrics, such as empirical cumulative distribution function (ECDF), Taylor diagram (TD), and Taylor skill score (TSS).
References
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TL;DR: The NCEP/NCAR 40-yr reanalysis uses a frozen state-of-the-art global data assimilation system and a database as complete as possible, except that the horizontal resolution is T62 (about 210 km) as discussed by the authors.
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An Overview of CMIP5 and the Experiment Design

TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.
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A Pacific interdecadal climate oscillation with impacts on salmon production

TL;DR: In this article, the authors identify a robust, recurring pattern of ocean-atmosphere climate variability centered over the midlatitude North Pacific basin over the past century, the amplitude of this climate pattern has varied irregularly at interannual-to-interdecadal timescales.
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