Zobrazeno 1 - 10
of 1 994
pro vyhledávání: '"Climate prediction"'
Autor:
Nicky Stringer, Adam A. Scaife, Chris Bulmer, Paul Davies, Nick Dunstone, Margaret Gordon, Sarah Ineson, Jeff Knight, Joseph Mancell, Peter McLean, Doug Smith, Brent Walker, Christopher Walsh
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 12, Pp n/a-n/a (2024)
Abstract The boreal winter of 2022/23 was notable as a third consecutive winter in which La Niña had an influence on the European weather. The GloSea6 seasonal forecast system predicted a blocked circulation pattern in the North Atlantic in early wi
Externí odkaz:
https://doaj.org/article/111ca48fb8864ca7a3aa945916000e2e
Publikováno v:
Atmospheric Science Letters, Vol 25, Iss 12, Pp n/a-n/a (2024)
Abstract Wildfires are significant contributors to atmospheric gases and aerosols, impacting air quality and composition. This pollution from fires also affects radiative forcing, influencing short‐term weather patterns and climate dynamics. Our re
Externí odkaz:
https://doaj.org/article/6b2d8dec7d9b4f649eff114fa2ccf1e0
Autor:
Zixiong Shen, Qiming Sun, Xinyu Lu, Fenghua Ling, Yue Li, Jiye Wu, Jing-Jia Luo, Chaoxia Yuan
Publikováno v:
Applied Computing and Geosciences, Vol 24, Iss , Pp 100201- (2024)
The application of machine learning (ML) techniques to climate science has received significant attention, particularly in the field of climate predictions, ranging from sub-seasonal to decadal time scales. This paper reviews recent progress of ML te
Externí odkaz:
https://doaj.org/article/f825d5664425451ea991cd2cc7ad0189
Autor:
E. Sanchez‐Gomez, R. Séférian, L. Batté, S. Berthet, C. Cassou, B. Dewitte, M. P. Moine M, R. Msadek, C. Prodhomme, Y. Santana‐Falcón, L. Terray, A. Voldoire
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 10, Pp n/a-n/a (2024)
Abstract The CNRM‐Cerfacs Climate Prediction System (C3PS) is a new research modeling tool for performing climate reanalyzes and seasonal‐to‐multiannual predictions for a wide array of Earth system variables. C3PS is based on the CNRM‐ESM2‐
Externí odkaz:
https://doaj.org/article/559c7b1c67ca40cca82e8ce6169f1d63
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 17, Pp n/a-n/a (2024)
Abstract The capability to anticipate the exceptionally rapid warming of the Northwest Atlantic Shelf and its evolution over the next decade could enable effective mitigation for coastal communities and marine resources. However, global climate model
Externí odkaz:
https://doaj.org/article/726162db5da440ea8165df20b10a9e69
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Canonical understanding based on general circulation models (GCMs) is that the atmospheric circulation response to midlatitude sea‐surface temperature (SST) anomalies is weak compared to the larger influence of tropical SST anomalies. Howe
Externí odkaz:
https://doaj.org/article/c2c662f12d53404caeb27f1eef303942
Publikováno v:
Geoscience Letters, Vol 11, Iss 1, Pp 1-16 (2024)
Abstract The rainy season in South China is divided into two phases, the pre- and postrainy seasons, according to the seasonal progression of the East Asian summer monsoon. The precipitation prediction skills for the two rainy seasons are investigate
Externí odkaz:
https://doaj.org/article/c0835b85c0674c9d97d6996bb08fa334
Autor:
Xiao Liu, Qianqian Zhang
Publikováno v:
IEEE Access, Vol 12, Pp 85275-85290 (2024)
Temperature, as a key indicator of climate change, is a constant object of research focus due to its importance in accurate forecasting. Traditional meteorological models have limitations in handling complex temperature data, and deep recurrent netwo
Externí odkaz:
https://doaj.org/article/8e8287c84dfb4cf7a7442543948e606d
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4118 (2024)
Surface heat source (SHS) is a crucial factor affecting local weather systems. Particularly SHS on the Tibetan Plateau (TP) significantly influences East Asian atmospheric circulation and global climate. Accurate prediction of summer SHS on the TP is
Externí odkaz:
https://doaj.org/article/6b6835fc8e664592a9784c1f433d3991
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 12, Pp n/a-n/a (2024)
Abstract The El Niño‐Southern Oscillation (ENSO) phenomenon—the dominant source of climate variability on seasonal to multi‐year timescales—is predictable a few seasons in advance. Forecast skill at longer multi‐year timescales has been fo
Externí odkaz:
https://doaj.org/article/48dd67988bb043b891277d80ad15d7ad