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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Main Authors: 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
Formato: Artigo
Idioma:Inglês
Publicado em: American Geophysical Union (AGU) 2021-06-01
Colecção:Earth's Future
Assuntos:
climate
model intercomparison
probabilistic projections
RCMIP
reduced complexity climate model
Acesso em linha:https://doi.org/10.1029/2020EF001900
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