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contributor authorMagnusson, L.
contributor authorBidlot, J.-R.
contributor authorBonavita, M.
contributor authorBrown, A. R.
contributor authorBrowne, P. A.
contributor authorDe Chiara, G.
contributor authorDahoui, M.
contributor authorLang, S. T. K.
contributor authorMcNally, T.
contributor authorMogensen, K. S.
contributor authorPappenberger, F.
contributor authorPrates, F.
contributor authorRabier, F.
contributor authorRichardson, D. S.
contributor authorVitart, F.
contributor authorMalardel, S.
date accessioned2019-10-05T06:53:08Z
date available2019-10-05T06:53:08Z
date copyright10/9/2018 12:00:00 AM
date issued2018
identifier otherBAMS-D-18-0044.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4263732
description abstractAbstractTropical cyclones are some of the most devastating natural hazards and the ?three beasts??Harvey, Irma, and Maria?during 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.
publisherAmerican Meteorological Society
titleECMWF Activities for Improved Hurricane Forecasts
typeJournal Paper
journal volume100
journal issue3
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-18-0044.1
journal fristpage445
journal lastpage458
treeBulletin of the American Meteorological Society:;2018:;volume 100:;issue 003
contenttypeFulltext


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