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

Lauer, Axel; Eyring, Veronika; Righi, Mattia; Buchwitz, Michael; Defourny, Pierre; Evaldsson, Martin; Friedlingstein, Pierre; Jeu, Richard de; Leeuw, G. de; Loew, Alexander; Merchant, Christopher J.; Müller, Benjamin; Popp, Thomas; Reuter, Maximilian; Sandven, Stein; Senftleben, Daniel; Stengel, Martin; Roozendaël, Michel Van; Wenzel, Sabrina; Willén, Ulrika

doi:10.1016/j.rse.2017.01.007

Cited by 40 publications

(33 citation statements)

References 130 publications

(102 reference statements)

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“…The code of ESMValTool v2.0 has been completely restructured and now includes an independent Python package (ESMValCore), which features core functionalities such as the task manager, a revised preprocessor, and an improved interface. The set of diagnostic scripts implementing scientific analysis on a wide range of Earth system model variables and realms has also been extended and is described in the companion papers Eyring et al (2019), Lauer et al (2020), and Weigel et al (2020).…”

Section: Discussionmentioning

confidence: 99%

“…This paper is the first in a series of four presenting ESM-ValTool v2.0, and it focuses on the technical aspects, highlights its new features, and analyzes its numerical performance. The new diagnostics and the progress in scientific analyses implemented in ESMValTool v2.0 are discussed in the companion papers: Eyring et al (2019), Lauer et al (2020), and Weigel et al (2020).…”

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confidence: 99%

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Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview

et al. 2020

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Abstract. This paper describes the second major release of the Earth System Model Evaluation Tool (ESMValTool), a community diagnostic and performance metrics tool for the evaluation of Earth system models (ESMs) participating in the Coupled Model Intercomparison Project (CMIP). Compared to version 1.0, released in 2016, ESMValTool version 2.0 (v2.0) features a brand new design, with an improved interface and a revised preprocessor. It also features a significantly enhanced diagnostic part that is described in three companion papers. The new version of ESMValTool has been specifically developed to target the increased data volume of CMIP Phase 6 (CMIP6) and the related challenges posed by the analysis and the evaluation of output from multiple high-resolution or complex ESMs. The new version takes advantage of state-of-the-art computational libraries and methods to deploy an efficient and user-friendly data processing. Common operations on the input data (such as regridding or computation of multi-model statistics) are centralized in a highly optimized preprocessor, which allows applying a series of preprocessing functions before diagnostics scripts are applied for in-depth scientific analysis of the model output. Performance tests conducted on a set of standard diagnostics show that the new version is faster than its predecessor by about a factor of 3. The performance can be further improved, up to a factor of more than 30, when the newly introduced task-based parallelization options are used, which enable the efficient exploitation of much larger computing infrastructures. ESMValTool v2.0 also includes a revised and simplified installation procedure, the setting of user-configurable options based on modern language formats, and high code quality standards following the best practices for software development.

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Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview

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“…intercomparisons (Lauer and Hamilton, 2013). Larger deviations between EMAC and the observations are found in the polar regions, where, however, observational uncertainties are also larger (Lauer et al, 2017). Note that total cloud cover is only Table 2.…”

Section: Total Cloud Cover and Cloud Liquid Watermentioning

confidence: 91%

A new approach to simulate aerosol effects on cirrus clouds in EMAC v2.54

Righi

Hendricks

Lohmann

et al. 2019

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Abstract. A new cloud microphysical scheme including a detailed parameterization for aerosol-driven ice formation in cirrus clouds is implemented in the global chemistry climate model EMAC and coupled to the aerosol submodel MADE3. The new scheme is able to consistently simulate three regimes of stratiform clouds (liquid, mixed- and ice-phase (cirrus) clouds), considering the impact of aerosol on the activation of cloud droplets and the nucleation of ice crystals. In the cirrus regime, it accounts for the competition between homogeneous and heterogeneous freezing for the available supersaturated water vapor, taking into account different types of ice-nucleating particles, whose specific ice-nucleating properties can be flexibly varied in the model setup. The new model configuration was tuned using satellite data to find the optimal set of parameters that reproduces the observations. A detailed evaluation is also performed comparing the model results for standard cloud and radiation variables with a comprehensive set of observations from satellite retrievals and in situ measurements. The performance of EMAC-MADE3 in this new coupled configuration is in line with similar global coupled models and with other global aerosol models featuring ice cloud parameterizations. Some remaining discrepancies, especially with regard to ice crystal number concentrations in cirrus, which are a common problem of this kind of models, need to be the subject of future investigations. To further demonstrate the readiness of the new model system for application studies, an estimate of the global anthropogenic aerosol radiative forcing is provided and discussed in the context of the CMIP5 results for the IPCC.

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“…The diagnostic produces scatter plots of different historical and future sea ice metrics, similar to figure 2 of Massonnet et al (2012) and figures 12.31 a/c of Collins et al (2013) (see Section 3.3.3 for details).4 Summary 440This paper is part of a series of four articles describing the new features and diagnostics of the Earth System Model Evaluation Tool v2.0. Version 2.0 is a major upgrade from the last release v1.1.0(Eyring et al, 2016b;Lauer et al, 2017). Besides many technical improvements including greatly improved performance and userfriendliness(Righi et al, accepted), version 2.0 includes new large-scale diagnostics for evaluation of Earth system models(Eyring et al, in revision) and diagnostics for extreme events, regional model and impact 445 evaluation and analysis of ESM results(Weigel et al, in prep.).…”

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Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP

Lauer¹,

Eyring²,

Bellprat³

et al. 2020

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Abstract. The Earth System Model Evaluation Tool (ESMValTool), a community diagnostics and performance metrics tool for evaluation and analysis of Earth system models (ESMs) is designed to facilitate a more comprehensive and rapid comparison of single or multiple models participating in the coupled model intercomparison project (CMIP). The ESM results can be compared against observations or reanalysis data as well as against other models including predecessor versions of the same model. The updated and extended version 2.0 of the ESMValTool includes several new analysis scripts such as large-scale diagnostics for evaluation of ESMs as well as diagnostics for extreme events, regional model and impact evaluation. In this paper, the newly implemented climate metrics such as effective climate sensitivity (ECS) and transient climate response (TCR) as well as emergent constraints for various climate-relevant feedbacks and diagnostics for future projections from ESMs are described and illustrated with examples using results from the well-established model ensemble CMIP5. The emergent constraints implemented include ECS, snow-albedo effect, climate-carbon cycle feedback, hydrologic cycle intensification, future Indian summer monsoon precipitation, and year of disappearance of summer Arctic sea ice. The diagnostics included in ESMValTool v2.0 to analyze future climate projections from ESMs include analysis scripts to reproduce selected figures of chapter 12 of the Intergovernmental Panel on Climate Change’s (IPCC) Fifth Assessment report (AR5) and various multi-model statistics.

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

Cited by 40 publications

References 130 publications

Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview

Earth System Model Evaluation Tool (ESMValTool) v2.0 – technical overview

A new approach to simulate aerosol effects on cirrus clouds in EMAC v2.54

Earth System Model Evaluation Tool (ESMValTool) v2.0 – diagnostics for emergent constraints and future projections from Earth system models in CMIP

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