Journal article

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

Z Nicholls, M Meinshausen, J Lewis, MR Corradi, K Dorheim, T Gasser, R Gieseke, AP Hope, NJ Leach, LA McBride, Y Quilcaille, J Rogelj, RJ Salawitch, BH Samset, M Sandstad, A Shiklomanov, RB Skeie, CJ Smith, SJ Smith, X Su Show all

Earth S Future | AMER GEOPHYSICAL UNION | Published : 2021

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 limitations and the structural rigidity of ESMs mean that the full range of uncertainties across multiple domains are difficult to capture with ESMs alone. The tools of choice are instead more computationally efficient reduced complexity models (RCMs), which are structurally flexible and can span the response dynamics across a range of domain-specific models and ESM experiments. Here we present Phase 2 of t..

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Grants

Awarded by U.S. Department of Energy


Funding Acknowledgements

Z. Nicholls benefited from support provided by the ARC Centre of Excellence for Climate Extremes (CE170100023). K. Dorheim's, D. L. Woodard's, A. Shiklomanov's, S. J. Smith's, and B. Vega-Westhoff's participation was supported by the U.S. Department of Energy, Office of Science, as part of research in MultiSector Dynamics, Earth and Environmental System Modeling Program. C. J. Smith was supported by a NERC/IIASA Collaborative Research Fellowship (NE/T009381/1). X. Su and J. Tsutsui supported by the Integrated Research Program for Advancing Climate Models (TOUGOU), Grant Number JPMXD0717935457, from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan. L.A. McBride's, A. P. Hope's, and R. J. Salawitch's participation was supported by the U.S. National Aeronautics and Space Administration Climate Indicators and Data Products for Future National Climate Assessments program (NX16AG34G). OSCAR development and simulations performed by T. Gasser and Y. Quilcaille were supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No 820829 (CONSTRAIN project).