WRF-MODEL PARAMETERIZATION TEST FOR PREDICTING EXTREME HEAVY RAINFALL EVENT OVER KETAPANG REGENCY
DOI:
https://doi.org/10.31172/jmg.v24i1.924Keywords:
WRF model, heavy rain prediction, cumulus and microphysics parameterizationAbstract
Heavy rains that cause floods and landslides in the Ketapang Regency can be predicted by utilizing the weather research and forecast (WRF) model. The WRF model used, of course, needs to be configured to represent the conditions that exist in Ketapang Regency. This study evaluates the combination of cumulus and microphysics parameterization, producing the best prediction of 24-hour accumulated rainfall. The combination of cumulus and microphysics parameterization tested as many as 24 schemes which later will be obtained which combination can produce the best prediction of rainfall accumulation with the comparison of rainfall measured at the Observation Station of the Meteorology, Climatology, and Geophysics Agency (BMKG) in Ketapang Regency. The results show that combining the KF-Scheme cumulus parameterization scheme and the Kessler-Scheme microphysics can better predict 24-hour accumulated rainfall than other tested parameterization schemes. This result is based on the root mean square error (RMSE), which shows that this combination scheme produces the smallest value and large correlation coefficient (CORR). From this research, it can also be seen that cumulus parameterization has a more dominant role than microphysics parameterization.
References
D. Septiadi and Y. N. Septiadi, “Identifikasi Mesoscale Convective Complex (Mcc) Dan Dampaknya Terhadap Curah Hujan Di Benua Maritim Indonesia (Bmi) Sepanjang Tahun 2018,” J. Meteorol. dan Geofis., vol. 20, no. 2, p. 73, 2020, doi: 10.31172/jmg.v20i2.645.
L. W. Sulton Kharisma, “Analisis Hujan Lebat Dengan Menggunakan Data Citra Satelit Di Kabupaten Banjarnegara (Studi Kasus 18 Juni 2016),” J. Chem. Inf. Model., vol. 8, no. 1, pp. 29–35, 2018.
Q. A. Hidayah, A. K. Bimaprawira, N. R. Yulitamora, I. R. Nugraheni, and G. Deranadyan, “IDENTIFIKASI KARAKTERISTIK AWAN PENYEBAB HUJAN LEBAT PADA MUSIM KEMARAU DAN MUSIM HUJAN DI JAMBI (Studi Kasus : Juni dan November 2017),” Pros. Semin. Nas. Geotik 2019., no. November 2017, pp. 185–195, 2019.
R. A. Kumar, J. Dudhia, and S. K. R. Bhowmik, “Evaluation of physics options of the Weather Research and Forecasting (WRF) model to simulate high impact heavy rainfall events over Indian monsoon region,” Geofizika, vol. 27, no. 2, pp. 101–125, 2010.
Z. Wu, C. Jiang, B. Deng, J. Chen, and X. Liu, “Sensitivity of WRF simulated typhoon track and intensity over the South China Sea to horizontal and vertical resolutions,” Acta Oceanol. Sin., vol. 38, no. 7, pp. 74–83, 2019, doi: 10.1007/s13131-019-1459-z.
J. Sun, H. He, X. Hu, D. Wang, C. Gao, and J. Song, “Numerical simulations of typhoon hagupit (2008) using WRF,” Weather Forecast., vol. 34, no. 4, pp. 999–1015, 2019, doi: 10.1175/WAF-D-18-0150.1.
M. A. Hasan and A. K. M. S. Islam, “Evaluation of Microphysics and Cumulus Schemes of WRF for Forecasting of Heavy Monsoon Rainfall over the Southeastern Hilly Region of Bangladesh,” Pure Appl. Geophys., vol. 175, no. 12, pp. 4537–4566, 2018, doi: 10.1007/s00024-018-1876-z.
L. Khadke and S. Pattnaik, “Impact of initial conditions and cloud parameterization on the heavy rainfall event of Kerala (2018),” Model. Earth Syst. Environ., vol. 7, no. 4, pp. 2809–2822, 2021, doi: 10.1007/s40808-020-01073-5.
D. Martínez-Castro et al., “The impact of microphysics parameterization in the simulation of two convective rainfall events over the central Andes of Peru using WRF-ARW,” Atmosphere (Basel)., vol. 10, no. 8, pp. 1–29, 2019, doi: 10.3390/atmos10080442.
S. Budakoti, C. Singh, and P. K. Pal, “Assessment of various cumulus parameterization schemes for the simulation of very heavy rainfall event based on optimal ensemble approach,” Atmos. Res., vol. 218, pp. 195–206, 2019, doi: 10.1016/j.atmosres.2018.12.005.
M. S. Djakaria, “Uji Sensitivitas Skema Parameterisasi Mikrofisik dengan Verifikasi Radar Cuaca untuk Simulasi Fenomena Hujan Es (Studi Kasus: Jakarta, 22 November 2018),” Bul. GAW Bariri, vol. 1, no. 2, pp. 94–100, 2020, [Online]. Available: https://gawpalu.id/bgb/index.php/bgb/article/view/26%0Ahttps://lens.org/001-859-219-752-687.
W. Basuki and M. Sadikin, “BENCANA ALAM DI KABUPATEN KETAPANG KALIMANTAN BARAT DALAM TINJAUAN SEJARAH LISAN,” J. Hist., vol. 2, no. 1, pp. 29–41, 2020.
National Centers for Environmental Prediction, National Weather Service, NOAA, U.S. Department of Commerce, “NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive.” Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Boulder CO, 2015, [Online]. Available: https://doi.org/10.5065/D65D8PWK.
Y. Liu, X. Chen, Q. Li, J. Yang, L. Li, and T. Wang, “Impact of different microphysics and cumulus parameterizations in WRF for heavy rainfall simulations in the central segment of the Tianshan Mountains, China,” Atmos. Res., vol. 244, p. 105052, 2020, doi: 10.1016/j.atmosres.2020.105052.
H. J. Song and B. J. Sohn, “An Evaluation of WRF Microphysics Schemes for Simulating the Warm-Type Heavy Rain over the Korean Peninsula,” Asia-Pacific J. Atmos. Sci., vol. 54, no. 2, pp. 225–236, 2018, doi: 10.1007/s13143-018-0006-2.
Y. Liu et al., “Optimal spin-up time exploration of the WRF model by using various hydrometeor species as the initial conditions,” in AGU Fall Meeting Abstracts, Dec. 2020, vol. 2020, pp. A183-0007.
J. S. Kain, “The Kain–Fritsch Convective Parameterization: An Update,” J. Appl. Meteorol., vol. 43, no. 1, pp. 170–181, Jan. 2004, doi: 10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2.
M. MAHBUB ALAM, “Impact of cloud microphysics and cumulus parameterization on simulation of heavy rainfall event during 7–9 October 2007 over Bangladesh,” J. Earth Syst. Sci., vol. 123, no. 2, pp. 259–279, Mar. 2014, doi: 10.1007/s12040-013-0401-0.
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