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The Convective-To-Total Precipitation Ratio and the “Drizzling” Bias in Climate Models

  • Di Chen
  • , Aiguo Dai
  • , Alex Hall
    • University of California at Los Angeles
    • SUNY Albany

    Research output: Contribution to journalArticlepeer-review

    96 Scopus citations

    Abstract

    Overestimation of precipitation frequency and duration while underestimating intensity, that is, the “drizzling” bias, has been a long-standing problem of global climate models. Here we explore this issue from the perspective of precipitation partitioning. We found that most models in the Climate Model Intercomparison Project Phase 5 (CMIP5) have high convective-to-total precipitation (PC/PR) ratios in low latitudes. Convective precipitation has higher frequency and longer duration but lower intensity than non-convective precipitation in many models. As a result, the high PC/PR ratio contributes to the “drizzling” bias over low latitudes. The PC/PR ratio and associated “drizzling” bias increase as model resolution coarsens from 0.5° to 2.0°, but the resolution's effect weakens as the grid spacing increases from 2.0° to 3.0°. Some of the CMIP6 models show reduced “drizzling” bias associated with decreased PC/PR ratio. Thus, more reasonable precipitation partitioning, along with finer model resolution should alleviate the “drizzling” bias within current climate models.

    Original languageEnglish
    Article numbere2020JD034198
    JournalJournal of Geophysical Research: Atmospheres
    Volume126
    Issue number16
    DOIs
    StatePublished - Aug 2021

    Keywords

    • CMIP
    • model bias
    • model resolution
    • parameterizations
    • precipitation

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