Tropical cyclone track prediction using a large-area WRF model at the Hong Kong Observatory

被引:20
作者
Hon, Kai-Kwong [1 ]
机构
[1] Hong Kong Observ, Hong Kong, Peoples R China
关键词
RESOLUTION; WEATHER; IMPACT; PREDICTABILITY; ASSIMILATION; HIMAWARI-8; DYNAMICS; SEA; BAY;
D O I
10.1016/j.tcrr.2020.03.002
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Tropical cyclone (TC) track predictions of the 10-km resolution WRF (provisionally named "AAMC-WRF") of the Hong Kong Observatory (HKO), spanning (20 degrees S - 60 degrees N, 45 degrees E - 160 degrees E) is studied for a 1-year period from April 2018 to Mar 2019. Real-time predictions, up to 4 times a day and T+48 h ahead, are verified against operational analysis positions of HKO for storms over the South China Sea (SCS) and Western North Pacific (WNP); and of the New Delhi Regional Specialised Meteorological Centre (RSMC) for storms over the North Indian Ocean basin (NIO; including the Bay of Bengal). Out of 21 named TCs over SCS and WNP, mean positional errors of the AAMC-WRF are 33 km (T+0), 63 km (T+24), and 107 km (T+48) based on 209, 178 and 142 forecasts. The AAMC-WRF outperformed Meso-NHM, also run in real-time at HKO, with mean error reduction up to 34 km or 24%. Mean positional errors for 13 NIO storms are 38 km (T+0), 69 km (T+24) and 107 km (T+48) based on 183, 131 and 85 forecasts. This is the first study in which TC predictions of a regional model are simultaneously examined over the SCS, WNP and NIO basins through real-time experiments. (C) 2020 The Shanghai Typhoon Institute of China Meteorological Administration. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
引用
收藏
页码:67 / 74
页数:8
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