Precipitation forecasting: from geophysical aspects to machine learning applications

Intense precipitation events pose a significant threat to human life. Mathematical and computational models have been developed to simulate atmospheric dynamics to predict and understand these climates and weather events. However, recent advancements in artificial intelligence (AI) algorithms, parti...

Szczegółowa specyfikacja

Opis bibliograficzny

Główni autorzy:	Ewerton Cristhian Lima de Oliveira, Antonio Vasconcelos Nogueira Neto, Ana Paula Paes dos Santos, Claudia Priscila Wanzeler da Costa, Julio Cezar Gonçalves de Freitas, Pedro Walfir Martins Souza-Filho, Rafael de Lima Rocha, Ronnie Cley Alves, Vânia dos Santos Franco, Eduardo Costa de Carvalho, Renata Gonçalves Tedeschi
Format:	Artigo
Język:	Inglês
Wydane:	Frontiers Media S.A. 2023-10-01
Seria:	Frontiers in Climate
Hasła przedmiotowe:	precipitation prediction dynamic models precipitation formation machine learning artificial intelligence
Dostęp online:	https://www.frontiersin.org/articles/10.3389/fclim.2023.1250201/full
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!