日本地球惑星科学連合2021年大会

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セッション記号 A (大気水圏科学) » A-AS 大気科学・気象学・大気環境

[A-AS02] Extreme Events: Observations and Modeling

2021年6月6日(日) 09:00 〜 10:30 Ch.07 (Zoom会場07)

コンビーナ:Sridhara Nayak(Disaster Prevention Research Institute, Kyoto University)、竹見 哲也(京都大学防災研究所)、Satoshi Iizuka(National Research Institute for Earth Science and Disaster Resilience)、座長:Satoshi Iizuka(National Research Institute for Earth Science and Disaster Resilience)、Sridhara Nayak(Disaster Prevention Research Institute, Kyoto University)、竹見 哲也(京都大学防災研究所)

10:00 〜 10:15

[AAS02-05] Simulation of typhoon-induced heavy precipitation over the Philippines using the Multi-scale Kain-Fritsch Cumulus Scheme in WRF

*Jose Angelo Hokson1、Shinjiro Kanae1、Rie Seto1 (1.School of Environment and Society, Tokyo Institute of Technology)

キーワード:typhoon-induced heavy precipitation, multi-scale Kain-Fritsch cumulus scheme, WRF, Typhoon Koppu, Philippines

Cumulus parameterization schemes, which handle convection processes such as those involving moisture and precipitation, have been indispensable in simulations using numerical weather prediction models such as the Weather Research and Forecasting (WRF) model. The Kain-Fritsch (KF) is one of the most-used schemes in WRF. An improved and scale-aware version of this scheme, called Multi-scale KF (MSKF), was produced to address overestimations of precipitation by KF. Studies in the Himalayas and the United States have proven that using MSKF brings improvement to the simulated precipitation values. However, the applicability and performance of MSKF over the Philippines in simulating precipitation, especially heavy precipitation, is yet to be verified. Herein, we examined these by simulating Typhoon Koppu and comparing the hourly and daily results with those of two other cumulus schemes – KF and Grell-Freitas (GF). Six simulations were conducted – three use cumulus schemes in high resolution (5 km, innermost domain), and three do not. Based on the results, the MSKF is applicable for use in simulating precipitations, including heavy precipitations, over the Philippines. It is best used when a typhoon is at its strongest but underperforms when the typhoon is weak and nearing dissipation. However, GF performs best among the three schemes. Additionally, the results show that using cumulus schemes in high resolution (5 km, using nests) does not always improve, sometimes even deteriorate, the performance of simulations in producing accurate precipitation values. Further investigations should be conducted regarding the performance of MSKF in simulating heavy precipitations over the Philippines and neighboring areas.