Diurnal cycle of precipitation over the tropics and central United States: intercomparison of general circulation models

Cheng Tao, Shaocheng Xie, Hsi Yen Ma, Peter Bechtold, Zeyu Cui, Paul A. Vaillancourt, Kwinten Van Weverberg, Yi Chi Wang, May Wong, Jing Yang, Guang J. Zhang, In Jin Choi, Shuaiqi Tang, Jiangfeng Wei, Wen Ying Wu, Meng Zhang, J. David Neelin, Xubin Zeng

Research output: Contribution to journalArticlepeer-review

Abstract

Diurnal precipitation is a fundamental mode of variability that climate models have difficulty in accurately simulating. Here the diurnal cycle of precipitation (DCP) in participating climate models from the Global Energy and Water Exchanges' DCP project is evaluated over the tropics and central United States. Common model biases such as excessive precipitation over the tropics, too frequent light-to-moderate rain, and the failure to capture propagating convection in the central United States still exist. Over the central United States, the issues of too weak rainfall intensity in climate runs is well improved in their hindcast runs with initial conditions from numerical weather prediction analyses. But the improvement is minimal over the central Amazon. Incorporating the role of the large-scale environment in convective triggering processes helps resolve the phase-locking issue in many models where precipitation often incorrectly peaks near noon due to maximum insolation over land. Allowing air parcels to be lifted above the boundary layer improves the simulation of nocturnal precipitation which is often associated with the propagation of mesoscale systems. Including convective memory in cumulus parameterizations acts to suppress light-to-moderate rain and promote intense rainfall; however, it also weakens the diurnal variability. Simply increasing model resolution (with cumulus parameterizations still used) cannot fully resolve the biases of low-resolution climate models in DCP. The hierarchy modeling framework from this study is useful for identifying the missing physics in models and testing new development of model convective processes over different convective regimes.

Original languageEnglish (US)
Pages (from-to)911-936
Number of pages26
JournalQuarterly Journal of the Royal Meteorological Society
Volume150
Issue number759
DOIs
StatePublished - Jan 1 2024

Keywords

  • climate models
  • diurnal cycle
  • precipitation

ASJC Scopus subject areas

  • Atmospheric Science

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