Results 251 to 260 of about 2,046,347 (299)

Avian influenza risk mapping in India using machine learning. [PDF]

open access: yesFront Vet Sci
Gaikwad SS   +4 more
europepmc   +1 more source

Weather-Enhanced Machine Learning for Time-Resolved Risk Stratification of Clinically Managed Hymenoptera-Related Sting Events in an Urban German Region. [PDF]

open access: yesInt J Environ Res Public Health
Nashtar MA   +7 more
europepmc   +1 more source

Bridging the weather and climate divide with artificial intelligence. [PDF]

open access: yesNat Commun
Camps-Valls G   +19 more
europepmc   +1 more source

Season-to-Season Cyclone Frequency Prediction

Monthly Weather Review, 1982
Abstract Winter and summer half-year cyclone frequencies for eastern North America and the western North Atlantic were tabulated for 2.5° latitude by 5° longitude grid cells for the years 1885–1980. Correlation matrix eigenvectors were calculated for matrices of both the winter and summer data for a dependent set of years (1885–1959).
Bruce P. Hayden, William Smith
openaire   +1 more source

The seasonal predictability of the wet season over Peninsular Florida

International Journal of Climatology, 2021
AbstractIn this study, we examine the seasonal predictability of Peninsular Florida (PF)'s boreal summer season, which is also known as the PF wet season (PFWS) due to the coinciding peak of the robust seasonal cycle of rainfall. The seasonal predictability is examined in the Community Climate System Model, version 4 (CCSM4), which is one of the models
Carly D. Narotsky, Vasubandhu Misra
openaire   +1 more source

Supercomputing the Seasonal Weather Prediction

2019
Most of the WMO Global Producing Centres for Long-Range Forecasts use ensemble prediction systems together with an ensemble re-forecast dataset, also called hindcast. Both ensembles usually come from integrations of a global coupled atmosphere, ocean, land-surface and sea ice model.
Rostislav Fadeev   +5 more
openaire   +2 more sources

Seasonal and Decadal Prediction

2011
Dynamical seasonal prediction has grown rapidly over the last decade or so. At present, a number of operational centres issue routine seasonal forecasts produced with coupled ocean-atmosphere models. These require real-time knowledge of the state of the global ocean since the potential for climate predictability at seasonal time scales resides mostly ...
Oscar Alves   +3 more
openaire   +1 more source

Seasonal predictability of the ensemble seasonal prediction by tier-1 and tier-1.5 models

SPIE Proceedings, 2009
By using a hybrid model tier-1 that is coupled in the Indo-Pacific tropical ocean, we perform a set of 10 ensemble runs with different initial condition for two-season period that starts from November 1st and May 1st respectively in 1982 though 2004.
Li Tao   +3 more
openaire   +1 more source

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