Assessments of Weather Research and Forecasting Land Surface Models in Precipitation Simulation Over the Tibetan Plateau

Precipitation is a key hydrometeorological variable for understanding surface energy partitioning and water budget over the Tibetan Plateau (TP). A substantial proportion of summer precipitation falls as rain. The effects different land models (LSMs) on TP’s their inner mechanisms remain unclear. Therefore, assessments LSMs coupled with Weather Research Forecasting model in simulation were investigated TP during June 28–29 2008. simulated results evaluated merged Climate Prediction Center (CPC) MORPHing technique (CMORPH) data set developed by China Meteorological Administration. assessment demonstrated that Community Land Model Version 4 (CLM4), Noah-Multiparameterization (Noah-MP), Pleim-Xiu LSM schemes was wider stronger compared CMORPH central western but underestimated eastern southern regions. Generally, both CLM4 Noah-MP exhibited higher forecasting quality accuracy simulating TP. optimal achieved applying scheme, lowest root mean square error 9.53 mm/day, mainly attributed to its corrections overforecasting did not occur. Further mechanism analysis indicated soil moisture-energy flux-precipitation feedback play an important role schemes.