Improvement of riming process parameterization in the WRF model and its advantages in simulating precipitation over the Tibetan Plateau
Year: 2026
Type: article
Abstract: The Tibetan Plateau (TP) is characterized by frequent mixed-phase clouds, in which riming exerts a crucial control on precipitation formation. However, conventional bulk microphysics schemes generally ignore the regulatory impact of sub-grid liquid-ice mixing state on riming processes. This study improves the riming parameterization within the WRF Morrison scheme by adopting constant reduction coefficients and introducing a diagnostic mixing homogeneity parameter χ for snow and graupel, which varies with condensed water content and temperature. Reduced riming coefficients correct simulated precipitation distribution and spatial deviation, while χ -based dynamic regulation further optimizes temporal variation of regional precipitation, reducing RMSE by 23.8%. The modified scheme shows superior performance across all rainfall grades, particularly for heavy and torrential rain. Physically, χ inhibits excessive riming, maintains supercooled liquid droplets, and effectively alleviates the overestimation of surface precipitation. One-month simulations validate that considering liquid-ice mixing homogeneity markedly improves WRF precipitation simulation capability over the TP.
Institutions: China Meteorological Administration, Nanjing University of Information Science and Technology, Chinese Academy of Meteorological Sciences, Nanyang Technological University, National Institute of Education, State Key Laboratory of Severe Weather, Tianjin Meteorological Bureau, Chengdu Institute of Plateau Meteorology, China Meteorological Administration
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,590
Awards: G1063582883, G1306163580, G5307396148
OpenAlex ID: W7203750087
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