Jp2.5 the Use of Three-dimensional Analyses of Cloud Attributes for Diabatic Initialization of Mesoscale Models
نویسندگان
چکیده
Diabatic initialization of cloud-resolving forecast models such as MM5, RAMS, ARPS, and WRF allows these models to prognose the future of precipitating cloud systems such as snowstorms and thunderstorms that are present at the initial time. This is a solution to one of the most long-standing problems in NWP: the 1to 3-h spin-up of cloud systems caused by the use of traditional dry initialization.
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