ECMWF Activities for Improved Hurricane ForecastsSource: Bulletin of the American Meteorological Society:;2018:;volume 100:;issue 003::page 445Author:Magnusson, L.
,
Bidlot, J.-R.
,
Bonavita, M.
,
Brown, A. R.
,
Browne, P. A.
,
De Chiara, G.
,
Dahoui, M.
,
Lang, S. T. K.
,
McNally, T.
,
Mogensen, K. S.
,
Pappenberger, F.
,
Prates, F.
,
Rabier, F.
,
Richardson, D. S.
,
Vitart, F.
,
Malardel, S.
DOI: 10.1175/BAMS-D-18-0044.1Publisher: American Meteorological Society
Abstract: AbstractTropical 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.
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contributor author | Magnusson, L. | |
contributor author | Bidlot, J.-R. | |
contributor author | Bonavita, M. | |
contributor author | Brown, A. R. | |
contributor author | Browne, P. A. | |
contributor author | De Chiara, G. | |
contributor author | Dahoui, M. | |
contributor author | Lang, S. T. K. | |
contributor author | McNally, T. | |
contributor author | Mogensen, K. S. | |
contributor author | Pappenberger, F. | |
contributor author | Prates, F. | |
contributor author | Rabier, F. | |
contributor author | Richardson, D. S. | |
contributor author | Vitart, F. | |
contributor author | Malardel, S. | |
date accessioned | 2019-10-05T06:53:08Z | |
date available | 2019-10-05T06:53:08Z | |
date copyright | 10/9/2018 12:00:00 AM | |
date issued | 2018 | |
identifier other | BAMS-D-18-0044.1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4263732 | |
description abstract | AbstractTropical 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. | |
publisher | American Meteorological Society | |
title | ECMWF Activities for Improved Hurricane Forecasts | |
type | Journal Paper | |
journal volume | 100 | |
journal issue | 3 | |
journal title | Bulletin of the American Meteorological Society | |
identifier doi | 10.1175/BAMS-D-18-0044.1 | |
journal fristpage | 445 | |
journal lastpage | 458 | |
tree | Bulletin of the American Meteorological Society:;2018:;volume 100:;issue 003 | |
contenttype | Fulltext |