ECMWF Activities for Improved Hurricane Forecasts

被引:62
作者
Magnusson, L. [1 ]
Bidlot, J-R [1 ]
Bonavita, M. [1 ]
Brown, A. R. [1 ]
Browne, P. A. [1 ]
De Chiara, G. [1 ]
Dahoui, M. [1 ]
Lang, S. T. K. [1 ]
Mcnally, T. [1 ]
Mogensen, K. S. [1 ]
Pappenberger, F. [1 ]
Prates, F. [1 ]
Rabier, F. [1 ]
Richardson, D. S. [1 ]
Vitart, F. [1 ]
Malardel, S. [1 ,2 ]
机构
[1] European Ctr Medium Range Weather Forecasts, Reading, Berks, England
[2] Meteo France, Lab Atmosphere & Cyclones, St Denis, Reunion, France
关键词
JULIAN OSCILLATION; PREDICTABILITY; ASSIMILATION; ENSEMBLE; MODEL; TELECONNECTIONS; SENSITIVITY; PREDICTION; IMPACT; MADDEN;
D O I
10.1175/BAMS-D-18-0044.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Tropical cyclones are some of the most devastating natural hazards and the three beastsHarvey, Irma, and Mariaduring the Atlantic hurricane season 2017 are recent examples. The European Centre for Medium-Range Weather Forecasts (ECMWF) is working on fulfilling its 2016-25 strategy in which early warnings for extreme events will be made possible by a high-resolution Earth system ensemble forecasting system. Several verification reports acknowledge deterministic and probabilistic tropical cyclone tracks from ECMWF as world leading. However, producing reliable intensity forecasts is still a difficult task for the ECMWF global forecasting model, especially regarding maximum wind speed. This article will put the ECMWF strategy into a tropical cyclone perspective and highlight some key research activities, using Harvey, Irma, and Maria as examples. We describe the observation usage around tropical cyclones in data assimilation and give examples of their impact. From a model perspective, we show the impact of running at 5-km resolution and also the impact of applying ocean coupling. Finally, we discuss the future challenges to tackle the errors in intensity forecasts for tropical cyclones.
引用
收藏
页码:445 / 458
页数:14
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