Reduced Complexity Model Intercomparison Project Phase 2: Synthesizing Earth System Knowledge for Probabilistic Climate Projections

Abstract Over the last decades, climate science has evolved rapidly across multiple expert domains. Our best tools to capture state‐of‐the‐art knowledge in an internally self‐consistent modeling framework are the increasingly complex fully coupled Earth System Models (ESMs). However, computational l...

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Auteurs principaux:	Z. Nicholls, M. Meinshausen, J. Lewis, M. Rojas Corradi, K. Dorheim, T. Gasser, R. Gieseke, A. P. Hope, N. J. Leach, L. A. McBride, Y. Quilcaille, J. Rogelj, R. J. Salawitch, B. H. Samset, M. Sandstad, A. Shiklomanov, R. B. Skeie, C. J. Smith, S. J. Smith, X. Su, J. Tsutsui, B. Vega‐Westhoff, D. L. Woodard
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2021-06-01
Collection:	Earth's Future
Sujets:	climate model intercomparison probabilistic projections RCMIP reduced complexity climate model
Accès en ligne:	https://doi.org/10.1029/2020EF001900
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