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http://hdl.handle.net/20.500.11765/14730
Towards nowcasting in Europe in 2030
Title: | Towards nowcasting in Europe in 2030 |
Authors: | Bojinski, Stephan; Blaauboer, Dick; Calbet, Xavier
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Keywords: | European Weather Cloud; High-resolution NWP; Meteosat Third Generation; Nowcasting; Probabilistic forecasts; Seamless prediction |
Issue Date: | 2023 |
Publisher: | Wiley Open Access; Royal Meteorological Society |
Citation: | Meteorological Applications. 2023, 30(4), e2124 |
Publisher version: | https://doi.org/10.1002/met.2124 |
Abstract: | The increasing impact of severe weather over Europe on lives and weathersensitive economies can be mitigated by accurate 0–6 h forecasts (nowcasts), supporting a vital ‘last line of defence’ for civil protection and many other applications. Recognizing lack of skill in some complex situations, often at convective and local sub-kilometre scales and associated with rare events, we identify seven recommendations with the aim to improve nowcasting in Europe by the national meteorological and hydrological services (NMHSs) by 2030. These recommendations are based on a review of user needs, the state of the observing system, techniques based on observations and high-resolution numerical weather models, as well as tools, data and infrastructure supporting the nowcasting community in Europe. Denser and more accurate observations are necessary particularly in the boundary layer to better characterize the ingredients of severe storms. A key driver for improvement is next-generation European satellite data becoming available as of 2023. Seamless ensemble prediction methods to produce enhanced weather forecasts with 0–24 h lead times and probabilistic products require further development. Such products need to be understood and interpreted by skilled forecasters operating in an evolving forecasting context. |
URI: | http://hdl.handle.net/20.500.11765/14730 |
ISSN: | 1350-4827 1469-8080 |
Appears in Collections: | Artículos científicos 2023-2026 |
Files in This Item:
File | Description | Size | Format | ||
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![]() | MA_Bojinski_2023.pdf | 17,71 MB | Adobe PDF | ![]() View/Open |
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