A convolutional recurrent neural network for strong convective rainfall nowcasting using weather radar data in Southeastern Brazil

Autor: Caseri, Angelica N., Lima Santos, Leonardo Bacelar, Stephany, Stephan

Publikováno v: In Artificial Intelligence in Geosciences December 2022 3:8-13

Statistical Variability of Severe Rainfall Events in Southeastern Brazil

Autor: Caseri, Angelica, Angelis, Carlos, Caseri, Angelica Nardo, Angelis, Carlos Frederico, Banda Sperling, Vinícius, Leblois, Etienne

Publikováno v: Anuário do Instituto de Geociências; Vol 43, No 4 (2020); 470_478
Anuário do Instituto de Geociências
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Anuário do Instituto de Geociências, Universidade Federal do Rio de Janeiro, 2020, 43 (4), pp.470-478. ⟨10.11137/2020_4_470_478⟩

International audience; Extreme rainfall events are one of the natural phenomena that cause more damages. These events are known to be well localized, especially in tropical and subtropical climate regions such as southeastern Brazil. These events ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4389e805b69f69849d45cfa126d8f7a1
https://revistas.ufrj.br/index.php/aigeo/article/view/38051

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.