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Selective ensemble ...
Selective ensemble mean technique for severe European windstorms
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- Scher, Sebastian (författare)
- Stockholms universitet,Meteorologiska institutionen (MISU)
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- Messori, Gabriele (författare)
- Stockholms universitet,Meteorologiska institutionen (MISU),Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
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(creator_code:org_t)
- 2018-12-09
- 2019
- Engelska.
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Ingår i: Quarterly Journal of the Royal Meteorological Society. - : Wiley. - 0035-9009 .- 1477-870X. ; 145:718, s. 376-385
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Abstract
Ämnesord
Stäng
- We show that ensemble forecasts of extreme European windstorms can be improved up to a lead time of 36–48 hr by sub-selecting ensemble members based on their performance at very short lead times (up to 12 hr). This applies to both the ensemble mean position of the cyclone centre and the ensemble windstorm footprint over the continent. A number of ensemble forecasts, including those from the ECMWF Ensemble Prediction System, are initialised every 12 hr and disseminated several hours after initialisation; therefore our approach has the potential to provide improved forecasts in an operational context. The analysis is performed on GEFS reforecast data.
Ämnesord
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
Nyckelord
- ensemble forecasts
- forecasting (methods)
- mid-latitudes
- severe weather
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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