Sensitivity of Rainfall to Microphysics and Cumulus Parameterization Schemes Over West Kalimantan During Borneo Vortex

The presence of the Borneo vortex can produce anomalies in atmospheric dynamics and rainfall conditions. Weather anomaly conditions need to be considered in making weather predictions. One of the efforts to get good weather predictions is to improve the performance of numerical weather prediction models. In this study, the effort to improve the performance of the WRF model was carried out by the parameterization schemes test. The purpose of this study is to determine the appropriate cumulus and microphysics parameterization schemes on the WRF model in predicting rainfall during the Borneo vortex over West Kalimantan. We combined four cumulus schemes and two microphysics schemes into eight experiments. The data used as model input is GFS data. Meanwhile, the data used for model verification are rainfall data from BMKG and GPM-IMERG satellite data. Experimental and comparative methods were applied in this study. The results showed that the use of Multi-Scale Kain-Fritsch cumulus scheme and Purdue Lin microphysics scheme (MP experiment) was able to provide the best model performance compared to other combinations. MP was consistently the best experimental design in all cases of the Borneo vortex. The results of point-by-point verification, spatial verification, and verification of the dichotomous method show that MP is the most accurate experiment in producing rainfall predictions, especially in the case of the Borneo vortex.