Litcius/Paper detail

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

Di Chen, Aiguo Dai, Alex Hall

2021Journal of Geophysical Research Atmospheres128 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Coupled model intercomparison projectPrecipitationClimate modelLatitudeEnvironmental scienceConvectionClimatologyAtmospheric sciencesClimate changeMeteorologyGeologyPhysicsOceanographyGeodesyClimate variability and modelsMeteorological Phenomena and SimulationsClimate change impacts on agriculture
The Convective‐To‐Total Precipitation Ratio and the “Drizzling” Bias in Climate Models | Litcius