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REVIEW OF RECENT PROGRESS IN TROPICAL CYCLONE TRACK FORECASTING AND EXPRESSION OF UNCERTAINTIES 被引量:5
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作者 Julian T.Heming Fernando Prates +21 位作者 Morris A.Bender Rebecca Bowyer John Cangialosi Phillippe Caroff Thomas Coleman james d.doyle Anumeha Dube Ghislain Faure Jim Fraser Brian C.Howell Yohko Igarashi Ron McTaggart-Cowan M.Mohapatra Jonathan R.Moskaitis Jim Murtha Rabi Rivett M.Sharma Chris J.Short Amit A.Singh Vijay Tallapragada Helen A.Titley Yi Xiao 《Tropical Cyclone Research and Review》 2019年第4期181-218,共38页
The Ninth International Workshop on Tropical Cyclones(IWTC-9) took place in Hawaii, USA in December 2018. This review paper was presented at the Workshop under the Tropical Cyclone Track topic.The forecasting of tropi... The Ninth International Workshop on Tropical Cyclones(IWTC-9) took place in Hawaii, USA in December 2018. This review paper was presented at the Workshop under the Tropical Cyclone Track topic.The forecasting of tropical cyclone(TC) track has seen significant improvements in recent decades both by numerical weather prediction models and by regional warning centres who issue forecasts having made use of these models and other forecasting techniques. Heming and Goerss(2010) gave an overview of forecasting techniques and models available for TC forecasting, including evidence of the improvement in performance over the years. However, the models and techniques used for TC forecasting have continued to develop in the last decade. This presentation gives an updated overview of many of the numerical weather prediction models and other techniques used for TC track prediction. It includes recent performance statistics both by the models and the regional warning centres. 展开更多
关键词 TROPICAL CYCLONE World METEOROLOGICAL ORGANIZATION WORKSHOP Numerical Models Track Forecasting
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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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ADVANCES IN UNDERSTANDING DIFFICULT CASES OF TROPICAL CYCLONE TRACK FORECASTS 被引量:1
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作者 Linus Magnusson james d.doyle +5 位作者 William A.Komaromi Ryan D.Torn Chi Kit Tang Johnny C.L.Chan Munehiko Yamaguchi Fuqing Zhang 《Tropical Cyclone Research and Review》 2019年第3期109-122,共14页
Although tropical cyclone track forecast errors have substantially decreased in recent decades,there are still cases each season with large uncertainties in the forecasts and/or very large track errors.As such cases a... Although tropical cyclone track forecast errors have substantially decreased in recent decades,there are still cases each season with large uncertainties in the forecasts and/or very large track errors.As such cases are challenging for forecasters,it is important to understand the mechanisms behind the low predictability.For this purpose the research community has developed a number of tools.These tools include ensemble and adjoint sensitivity models,ensemble perturbation experiments and nudging experiments.In this report we discuss definitions of difficult cases for tropical cyclone track forecasts,diagnostic techniques to understand sources of errors,lessons learnt in recent years and recommendations for future work. 展开更多
关键词 TROPICAL CYCLONES FORECAST busts PREDICTABILITY ENSEMBLE sensitivity ADJOINT modelling
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