Simulated Tropical Precipitation Assessed across Three Major Phases of the Coupled Model Intercomparison Project (CMIP)

Author:

Fiedler Stephanie1,Crueger Traute2,D’Agostino Roberta2,Peters Karsten3,Becker Tobias2,Leutwyler David2,Paccini Laura2,Burdanowitz Jörg4,Buehler Stefan A.4,Cortes Alejandro Uribe5,Dauhut Thibaut2,Dommenget Dietmar6,Fraedrich Klaus2,Jungandreas Leonore2,Maher Nicola2,Naumann Ann Kristin2,Rugenstein Maria2,Sakradzija Mirjana2,Schmidt Hauke2,Sielmann Frank4,Stephan Claudia2,Timmreck Claudia2,Zhu Xiuhua2,Stevens Bjorn2

Affiliation:

1. a University of Cologne, Institute of Geophysics and Meteorology, Cologne, Germany

2. b Max Planck Institute for Meteorology, Hamburg, Germany

3. c Deutsches Klimarechenzentrum (DKRZ), Hamburg, Germany

4. d Universität Hamburg, Hamburg, Germany

5. e MISU, Stockholm University, Stockholm, Sweden

6. f ARC Centre of Excellence for Climate Extremes, Monash University, Melbourne, Australia

Abstract

Abstract The representation of tropical precipitation is evaluated across three generations of models participating in phases 3, 5, and 6 of the Coupled Model Intercomparison Project (CMIP). Compared to state-of-the-art observations, improvements in tropical precipitation in the CMIP6 models are identified for some metrics, but we find no general improvement in tropical precipitation on different temporal and spatial scales. Our results indicate overall little changes across the CMIP phases for the summer monsoons, the double-ITCZ bias, and the diurnal cycle of tropical precipitation. We find a reduced amount of drizzle events in CMIP6, but tropical precipitation occurs still too frequently. Continuous improvements across the CMIP phases are identified for the number of consecutive dry days, for the representation of modes of variability, namely, the Madden–Julian oscillation and El Niño–Southern Oscillation, and for the trends in dry months in the twentieth century. The observed positive trend in extreme wet months is, however, not captured by any of the CMIP phases, which simulate negative trends for extremely wet months in the twentieth century. The regional biases are larger than a climate change signal one hopes to use the models to identify. Given the pace of climate change as compared to the pace of model improvements to simulate tropical precipitation, we question the past strategy of the development of the present class of global climate models as the mainstay of the scientific response to climate change. We suggest the exploration of alternative approaches such as high-resolution storm-resolving models that can offer better prospects to inform us about how tropical precipitation might change with anthropogenic warming.

Funder

Max-Planck-Gesellschaft

Horizon 2020 Framework Programme

Deutsche Forschungsgemeinschaft

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Bundesministerium für Verkehr und Digitale Infrastruktur

Publisher

American Meteorological Society

Subject

Atmospheric Science

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