Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Steven Phakula"'
Publikováno v:
Meteorological Applications, Vol 31, Iss 1, Pp n/a-n/a (2024)
Abstract Subseasonal‐to‐seasonal (S2S) prediction has gained momentum in the recent past as a need for predictions between the weather forecasting timescale and seasonal timescale exists. The availability of S2S databases makes prediction and pre
Externí odkaz:
https://doaj.org/article/e40caa42389b4768abf7bb794654d253
Publikováno v:
Meteorological Applications, Vol 31, Iss 1, Pp n/a-n/a (2024)
Abstract The probabilistic forecast skill level of statistically downscaled European Centre for Medium‐Range Weather Forecasts (ECMWF) subseasonal‐to‐seasonal (S2S) forecasts is determined in predicting maximum and minimum temperatures for week
Externí odkaz:
https://doaj.org/article/b6bff76741444d0281f6ffac040d5389
Publikováno v:
Earth and Space Science, Vol 7, Iss 2, Pp n/a-n/a (2020)
Abstract Forecast skill of three subseasonal‐to‐seasonal models and their ensemble mean outputs are evaluated in predicting the surface minimum and maximum temperatures at subseasonal timescales over South Africa. Three skill scores (correlation
Externí odkaz:
https://doaj.org/article/15ae85d1fee344748504d21ce156c916
Publikováno v:
Weather and Forecasting. 36:195-205
The NCEP CFSv2 and ECMWF hindcasts are used to explore the deterministic subseasonal predictability of the 850-hPa circulation of a large domain over the Atlantic and Indian Oceans that is relevant to the weather and climate of the southern African r
Publikováno v:
International Journal of Climatology. 38:e889-e900
The Department of Trade and Industry through Applied Centre for Climate and Earth Systems Science (ACCESS) and the South African Weather Service.