In:
Geoscientific Model Development, Copernicus GmbH, Vol. 13, No. 7 ( 2020-07-30), p. 3383-3438
Abstract:
Abstract. 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 Project (CMIP). It has undergone rapid
development since the first release in 2016 and is now a well-tested tool
that provides end-to-end provenance tracking to ensure reproducibility. It
consists of (1) an easy-to-install, well-documented Python package providing the
core functionalities (ESMValCore) that performs common preprocessing
operations and (2) a diagnostic part that includes tailored diagnostics and
performance metrics for specific scientific applications. Here we describe
large-scale diagnostics of the second major release of the tool that
supports the evaluation of ESMs participating in CMIP Phase 6 (CMIP6).
ESMValTool v2.0 includes a large collection of diagnostics and performance
metrics for atmospheric, oceanic, and terrestrial variables for the mean
state, trends, and variability. ESMValTool v2.0 also successfully reproduces
figures from the evaluation and projections chapters of the
Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report
(AR5) and incorporates updates from targeted analysis packages, such as the
NCAR Climate Variability Diagnostics Package for the evaluation of modes of
variability, the Thermodynamic Diagnostic Tool (TheDiaTo) to evaluate the
energetics of the climate system, as well as parts of AutoAssess that
contains a mix of top–down performance metrics. The tool has been fully
integrated into the Earth System Grid Federation (ESGF) infrastructure at
the Deutsches Klimarechenzentrum (DKRZ) to provide evaluation results from
CMIP6 model simulations shortly after the output is published to the CMIP
archive. A result browser has been implemented that enables advanced
monitoring of the evaluation results by a broad user community at much
faster timescales than what was possible in CMIP5.
Type of Medium:
Online Resource
ISSN:
1991-9603
DOI:
10.5194/gmd-13-3383-2020
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2020
detail.hit.zdb_id:
2456725-5
