TY - GEN
T1 - Sensitivity of Rainfall to Microphysics and Cumulus Parameterization Schemes Over West Kalimantan During Borneo Vortex
AU - Purnama, Dendi Rona
AU - Haryanto, Yosafat Donni
AU - Qomariyatuzzamzami, Latifah Nurul
AU - Zakir, Achmad
AU - Sosaidi, Dedi Sucahyono
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Borneo vortex
KW - Cumulus schemes
KW - Microphysics schemes
KW - Rainfall
KW - West Kalimantan
KW - WRF model
U2 - 10.1007/978-981-97-0740-9_17
DO - 10.1007/978-981-97-0740-9_17
M3 - Conference contribution
AN - SCOPUS:85196668740
SN - 9789819707393
T3 - Springer Proceedings in Physics
SP - 179
EP - 191
BT - Proceedings of the International Conference on Radioscience, Equatorial Atmospheric Science and Environment and Humanosphere Science - INCREASE 2023
A2 - Lestari, Sopia
A2 - Santoso, Heru
A2 - Hendrizan, Marfasran
A2 - Trismidianto, null
A2 - Nugroho, Ginaldi Ari
A2 - Budiyono, Afif
A2 - Ekawati, Sri
PB - Springer
T2 - 3rd International Conference on Radioscience, Equatorial Atmospheric Science and Environment, INCREASE 2023
Y2 - 21 November 2023 through 22 November 2023
ER -