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.
In this study the dependence between the frequency and intensity of extratropical and intensity results in large biases in the variance and the extremes of the aggregate risk, especially over Scandinavia. Therefore including frequency intensity dependence in extratropical cyclone loss models is necessary to model the risk of extreme losses.
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 an easy-to-install, well documented Python package providing the core functionalities (ESMValCore) that performs common pre-processing operations and 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 Klima Rechenzentrum (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.
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