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A review of recent advances(2018–2021)on tropical cyclone intensity change from operational perspectives,part 1:Dynamical model guidance 被引量:3
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作者 Zhan Zhang Weiguo Wang +19 位作者 James D.Doyle Jonathan Moskaitis William A.Komaromi Julian Heming Linus Magnusson John P.Cangialosi Levi Cowan Michael Brennan Suhong Ma ananda kumar das Hosomi Takuya Peter Clegg Thomas Birchard John A.Knaff John Kaplan Mrutyunjay Mohapatra Monica Sharma Ikegami Masaaki Liguang Wu Eric Blake 《Tropical Cyclone Research and Review》 2023年第1期30-49,共20页
This review summarizes the rapporteur report on tropical cyclone(TC)intensity change from the operational perspective,as presented to the 10th International Workshop on TCs(IWTC-10)held in Bali,Indonesia,from Dec.5–9... This review summarizes the rapporteur report on tropical cyclone(TC)intensity change from the operational perspective,as presented to the 10th International Workshop on TCs(IWTC-10)held in Bali,Indonesia,from Dec.5–9,2022.The accuracy of TC intensity forecasts issued by operational forecast centers depends on three aspects:real-time observations,TC dynamical model forecast guidance,and techniques and methods used by forecasters.The rapporteur report covers the progress made over the past four years(2018–2021)in all three aspects.This review focuses on the progress of dynamical model forecast guidance.The companion paper(Part II)summarizes the advance from operational centers.The dynamical model forecast guidance continues to be the main factor leading to the improvement of operational TC intensity forecasts.Here,we describe recent advances and developments of major operational regional dynamical TC models and their intensity forecast performance,including HWRF,HMON,COAMPS-TC,Met Office Regional Model,CMA-TYM,and newly developed HAFS.The performance of global dynamical models,including NOAA's GFS,Met Office Global Model(MOGM),JMA's GSM,and IFS(ECMWF),has also been improved in recent years due to their increased horizontal and vertical resolution as well as improved data assimilation systems.Recent challenging cases of rapid intensification are presented and discussed. 展开更多
关键词 Dynamical models Intensity forecast Operational forecasts Tropical cyclone
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A review of recent advances(2018–2021)on tropical cyclone intensity change from operational perspectives,part 2:Forecasts by operational centers 被引量:2
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作者 Weiguo Wang Zhan Zhang +18 位作者 John P.Cangialosi Michael Brennan Levi Cowan Peter Clegg Hosomi Takuya Ikegami Masaaki ananda kumar das Mrutyunjay Mohapatra Monica Sharma John A.Knaff John Kaplan Thomas Birchard James D.Doyle Julian Heming Jonathan Moskaitis Suhong Ma Charles Sampson Liguang Wu Eric Blake 《Tropical Cyclone Research and Review》 2023年第1期50-63,共14页
This paper summarizes the progress and activities of tropical cyclone(TC)operational forecast centers during the last four years(2018–2021).It is part II of the review on TC intensity change from the operational pers... This paper summarizes the progress and activities of tropical cyclone(TC)operational forecast centers during the last four years(2018–2021).It is part II of the review on TC intensity change from the operational perspective in the rapporteur report presented to the 10th International Workshop on TCs(IWTC)held in Bali,Indonesia,from Dec.5–9,2022.Part I of the review has focused on the progress of dynamical model forecast guidance.This part discusses the performance of TC intensity and rapid intensification forecasts from several operational centers.It is shown that the TC intensity forecast errors have continued to decrease since the 9th IWTC held in 2018.In particular,the improvement of rapid intensification forecasts has accelerated,compared with years before 2018.Consensus models,operational procedures,tools and techniques,as well as recent challenging cases from 2018 to 2021 identified by operational forecast centers are described.Research needs and recommendations are also discussed.©2023 The Shanghai Typhoon Institute of China Meteorological Administration.Publishing services by Elsevier B.V.on behalf of KeAi Communication Co.Ltd.This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/). 展开更多
关键词 Forecast error Intensity forecast Operational forecasts Tropical cyclone
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A HWRF-POM-TC coupled model forecast performance over North Indian Ocean: VSCS TITLI & VSCS LUBAN
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作者 Akhil Srivastava V.S.Prasad +1 位作者 ananda kumar das Arun Sharma 《Tropical Cyclone Research and Review》 2021年第1期54-70,共17页
The HWRF-POM-TC coupled model is run operationally at India Meteorological Department(IMD).This study is first attempt to assess the IMD’s operational HWRF-POM-TC(Atmosphere-Ocean)coupled model forecast performance o... The HWRF-POM-TC coupled model is run operationally at India Meteorological Department(IMD).This study is first attempt to assess the IMD’s operational HWRF-POM-TC(Atmosphere-Ocean)coupled model forecast performance over North Indian Ocean(NIO).The two cyclonic storms one each in Arabian Sea and Bay of Bengal were examined.Among them,VSCS LUBAN formed over Arabian Sea(AS)and was followed by the formation of VSCS TITLI over Bay of Bengal(Bo B).It constituted a rare case whereby two VSCS have formed in the north Indian Ocean(NIO)simultaneously.The HWRF-POM-TC modeling system,which was developed at National Centers for Environmental Prediction(NCEP)based on Nonhydrostatic Mesoscale Model(NMM)dynamic core,was customized for NIO conditions.For the two storms,VSCS LUBAN&VSCS TITLI,28 and 15 consecutive 6-hourly HWRF model runs were performed.The HWRF-POM-TC coupled model showed great skill in forecasting of Track and Intensity for examined cyclones.The result shows that the model predicted the intensification and landfall of VSCS Luban&Titli in agreement with the best track data as made available by Cyclone Warning Division(CWD),India Meteorological Department which is also recognized as Regional Specialized Meteorological Center(RSMC)by WMO for NIO. 展开更多
关键词 Ocean coupled hurricane WRF POM-TC HWRF-POM-TC
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