Zobrazeno 1 - 10
of 130
pro vyhledávání: '"seasonal predictions"'
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:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 10, Pp n/a-n/a (2023)
Abstract It has been widely recognized that tropical cyclone (TC) genesis requires favorable large‐scale environmental conditions. Based on these linkages, numerous efforts have been made to establish an empirical relationship between seasonal TC a
Externí odkaz:
https://doaj.org/article/7f1a1ec776e946eaa920d09161a1c255
Publikováno v:
Environmental Research Letters, Vol 19, Iss 12, p 124023 (2024)
A robust El Niño Southern Oscillation (ENSO) prediction is essential for monitoring the global climate, regional monsoons, and weather extremes. Despite dedicated efforts spanning decades, the precise prediction of ENSO events through numerical mode
Externí odkaz:
https://doaj.org/article/8026318d903e4e32ba5fd424dbd11113
Akademický článek
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Publikováno v:
Frontiers in Climate, Vol 4 (2023)
El Niño-Southern Oscillation (ENSO) is one of the fundamental drivers of the Earth's climate variability. Thus, its skillful prediction at least a few months to years ahead is of utmost importance to society. Using both dynamical and statistical met
Externí odkaz:
https://doaj.org/article/df7085c6893b43e39df48f8dfabe08dd
Akademický článek
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Autor:
T. Kelder, T. I. Marjoribanks, L. J. Slater, C. Prudhomme, R. L. Wilby, J. Wagemann, N. Dunstone
Publikováno v:
Meteorological Applications, Vol 29, Iss 3, Pp n/a-n/a (2022)
Abstract Low‐likelihood weather events can cause dramatic impacts, especially when they are unprecedented. In 2020, amongst other high‐impact weather events, UK floods caused more than £300 million damage, prolonged heat over Siberia led to infr
Externí odkaz:
https://doaj.org/article/c2b0f7a3f3754fc496774e3c2533f35b
Publikováno v:
Climate Services, Vol 26, Iss , Pp 100291- (2022)
We investigate the potential for using seasonal climate predictions for marine risk assessment in the Barents Sea. Marine risk is based on the diagnostic of the probability of extreme climate conditions and their consequences to identify time and reg
Externí odkaz:
https://doaj.org/article/32be035bbf0c4c0fb7116f14e417b3d9
Akademický článek
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Autor:
Iracema F. A. Cavalcanti, Naurinete J. C. Barreto, Mariano S. Alvarez, Marisol Osman, Caio A. S. Coelho
Publikováno v:
Meteorological Applications, Vol 28, Iss 4, Pp n/a-n/a (2021)
Abstract Precipitation predictions in the sub‐seasonal timescale are very important for several sectors such as agriculture and energy in regions of South America that are very much affected by precipitation extremes, both excess and lack of rain.
Externí odkaz:
https://doaj.org/article/4ec6299abf904c22bffa6a7a0e5d1356