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.

Highlights

  • The representation of tropical precipitation has never been a strength of global climate models

  • In reviewing progress over past phases of the Coupled Model Intercomparison Project (CMIP), Stouffer et al (2017), identify six ‘‘ important and long-standing biases’’ that the authors hope will be reduced in CMIP’s sixth phase (CMIP6). First among these is related to the misrepresentation of tropical precipitation, in the form of tropical rainbands being too hemispherically symmetric, something known as the double intertropical convergence zone (ITCZ) bias

  • Our assessment of tropical precipitation as measured across a wide range of metrics, and over three generations of CMIP models, shows that the simulations are improving in some respects, but the improvements are uneven

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Summary

Introduction

The representation of tropical precipitation has never been a strength of global climate models. In the Southern Hemisphere, the rainfall maximum in CMIP6 and CMIP5 is, overestimated compared to both TRMM and CMIP3 This is likely related to the toopronounced double ITCZ in the models (e.g., Li and Xie 2014) and possibly explains the mean differences in tropical precipitation in the central Pacific (Fig. 1). Compared to the observational estimates of I 5 1.5 (CMORPH) and I 5 1.7 (TRMM), the median of I is too large by more than a factor of 2 in all CMIP phases This means that the tropical precipitation over the Pacific Ocean is overestimated (cf Fig. 1c). Paired with the different spatial representation of gauge measurements and the gridded data, it explains why CMIP and TRMM produce slopes that are more similar to one another than compared to Jennings (1950), with CMIP6 following the observations better than the previous phases of CMIP. For stronger rain rates ( p . 100 mm day21) substantial divergence between the observational datasets make an evaluation of the models difficult, but CMIP3 clearly lies outside of the observational range, whereas CMIP5 and CMIP6 are closer to the observations

Solar radiative effects
Modes of internal variability
Climate change
Opportunities for future advancements
Findings
Conclusions
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