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

• Main Authors: Lauer, Axel, Eyring, Veronika, Bellprat, Omar, Bock, Lisa, Gier, Bettina K., Hunter, Alasdair, Lorenz, Ruth, Pérez-Zanón, Núria, Righi, Mattia, Schlund, Manuel, Senftleben, Daniel, Weigel, Katja, Zechlau, Sabrina
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus 2020
• Subjects: Arctic; Indian; albedo; Sea ice
• Online Access: https://hdl.handle.net/20.500.11850/444945; https://doi.org/10.3929/ethz-b-000444945

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 (v2.0) 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 constraints on 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 further 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. ISSN:1991-9603 ISSN:1991-959X