Zobrazeno 1 - 5
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pro vyhledávání: '"Daniel Cattani"'
Machine Learning has a big potential for various tasks along the whole value chain of a national Met-Service. Indeed, many research groups, private and national weather services have started to explore the possibilities and first real-time operationa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ee6d109df8bdfa61657f8baad30165
https://doi.org/10.5194/ems2021-181
https://doi.org/10.5194/ems2021-181
Publikováno v:
MAUSAM. 66:645-656
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a37cbce0db1a50b56c453eba8ea5ca9c
https://doi.org/10.54302/mausam.v66i3.573
https://doi.org/10.54302/mausam.v66i3.573
Publikováno v:
Weather and Forecasting. 19:552-565
The Ensemble Prediction System (EPS) of the European Centre for Medium-Range Weather Forecasts (ECMWF) was used to analyze various aspects of the ensemble-spread forecast-skill relation. It was shown that synoptic-scale upper-air spread measures can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87b60af8b7441d8b92296e8b0c51e18a
https://doi.org/10.1175/1520-0434(2004)019<0552:aotsru>2.0.co
https://doi.org/10.1175/1520-0434(2004)019<0552:aotsru>2.0.co
Publikováno v:
Journal of Applied Meteorology. 43:727-738
This paper evaluates the quality of neural network classifiers for wind speed and wind gust prediction with prediction lead times between +1 and +24 h. The predictions were realized based on local time series and model data. The selection of appropri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09768d4a8adf4644019597b4aba07827
https://doi.org/10.1175/2057.1
https://doi.org/10.1175/2057.1
Conference
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