利用香港天文台的大面积WRF模式预测热带气旋路径

IF 2.4 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Tropical Cyclone Research and Review Pub Date : 2020-03-01 DOI:10.1016/j.tcrr.2020.03.002
Kai-Kwong Hon
{"title":"利用香港天文台的大面积WRF模式预测热带气旋路径","authors":"Kai-Kwong Hon","doi":"10.1016/j.tcrr.2020.03.002","DOIUrl":null,"url":null,"abstract":"<div><p>Tropical cyclone (TC) track predictions of the 10-km resolution WRF (provisionally named \"AAMC-WRF\") of the Hong Kong Observatory (HKO), spanning (20⁰S - 60⁰N, 45⁰E − 160⁰E) 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.</p></div>","PeriodicalId":44442,"journal":{"name":"Tropical Cyclone Research and Review","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.tcrr.2020.03.002","citationCount":"15","resultStr":"{\"title\":\"Tropical cyclone track prediction using a large-area WRF model at the Hong Kong Observatory\",\"authors\":\"Kai-Kwong Hon\",\"doi\":\"10.1016/j.tcrr.2020.03.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Tropical cyclone (TC) track predictions of the 10-km resolution WRF (provisionally named \\\"AAMC-WRF\\\") of the Hong Kong Observatory (HKO), spanning (20⁰S - 60⁰N, 45⁰E − 160⁰E) 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.</p></div>\",\"PeriodicalId\":44442,\"journal\":{\"name\":\"Tropical Cyclone Research and Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.tcrr.2020.03.002\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tropical Cyclone Research and Review\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2225603220300126\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"METEOROLOGY & ATMOSPHERIC SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tropical Cyclone Research and Review","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2225603220300126","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 15

摘要

研究了香港天文台(HKO) 10公里分辨率WRF(暂时命名为“AAMC-WRF”)的热带气旋(TC)路径预测,跨度为(20⁰S - 60⁰N, 45⁰E - 160⁰E),为期1年,从2018年4月到2019年3月。根据香港天文台对南海及西北太平洋风暴的业务分析位置,验证每日最多4次及提前T+48小时的实时预报;以及新德里区域专业气象中心(RSMC)关于北印度洋盆地(NIO)风暴的预报;包括孟加拉湾)。在SCS和WNP上的21个命名tc中,AAMC-WRF基于209、178和142次预报的平均位置误差分别为33 km (T+0)、63 km (T+24)和107 km (T+48)。AAMC-WRF优于同样在香港天文台实时运行的Meso-NHM,平均误差减少了34公里或24%。基于183、131和85次预报,13次NIO风暴的平均定位误差分别为38 km (T+0)、69 km (T+24)和107 km (T+48)。这是第一次通过实时实验同时对区域模式的TC预测在SCS、WNP和NIO盆地进行检验的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Tropical cyclone track prediction using a large-area WRF model at the Hong Kong Observatory

Tropical cyclone (TC) track predictions of the 10-km resolution WRF (provisionally named "AAMC-WRF") of the Hong Kong Observatory (HKO), spanning (20⁰S - 60⁰N, 45⁰E − 160⁰E) 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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Tropical Cyclone Research and Review
Tropical Cyclone Research and Review METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.60
自引率
3.40%
发文量
184
审稿时长
30 weeks
期刊介绍: Tropical Cyclone Research and Review is an international journal focusing on tropical cyclone monitoring, forecasting, and research as well as associated hydrological effects and disaster risk reduction. This journal is edited and published by the ESCAP/WMO Typhoon Committee (TC) and the Shanghai Typhoon Institute of the China Meteorology Administration (STI/CMA). Contributions from all tropical cyclone basins are welcome. Scope of the journal includes: • Reviews of tropical cyclones exhibiting unusual characteristics or behavior or resulting in disastrous impacts on Typhoon Committee Members and other regional WMO bodies • Advances in applied and basic tropical cyclone research or technology to improve tropical cyclone forecasts and warnings • Basic theoretical studies of tropical cyclones • Event reports, compelling images, and topic review reports of tropical cyclones • Impacts, risk assessments, and risk management techniques related to tropical cyclones
期刊最新文献
Discussion on the enhancement of Typhoon Committee activities for UN EW4All initiative Analyzing coherent structures in the tropical cyclone boundary layer using large eddy simulations Analysis of characteristics and evaluation of forecast accuracy for Super Typhoon Doksuri (2023) Case study of high waves in the South Pacific generated by Tropical Cyclone Harold in 2020 A theoretical method to characterize the resistance effects of nonflat terrain on wind fields in a parametric wind field model for tropical cyclones
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1