Identification of sensitive regions to climate change and anticipation of climate events in Brazil (2023)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; CASERI, ANGELICA NARDO - ICMC
- Unidade: ICMC
- DOI: 10.5194/egusphere-egu23-8921
- Subjects: REDES COMPLEXAS; APRENDIZADO COMPUTACIONAL; CLIMA
- Language: Inglês
- Imprenta:
- Publisher: European Geosciences Union
- Publisher place: Vienna
- Date published: 2023
- Source:
- Título: Proceedings of Abstracts
- Conference titles: EGU General Assembly 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CASERI, Angelica e RODRIGUES, Francisco Aparecido. Identification of sensitive regions to climate change and anticipation of climate events in Brazil. 2023, Anais.. Vienna: European Geosciences Union, 2023. Disponível em: https://doi.org/10.5194/egusphere-egu23-8921. Acesso em: 12 fev. 2026. -
APA
Caseri, A., & Rodrigues, F. A. (2023). Identification of sensitive regions to climate change and anticipation of climate events in Brazil. In Proceedings of Abstracts. Vienna: European Geosciences Union. doi:10.5194/egusphere-egu23-8921 -
NLM
Caseri A, Rodrigues FA. Identification of sensitive regions to climate change and anticipation of climate events in Brazil [Internet]. Proceedings of Abstracts. 2023 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.5194/egusphere-egu23-8921 -
Vancouver
Caseri A, Rodrigues FA. Identification of sensitive regions to climate change and anticipation of climate events in Brazil [Internet]. Proceedings of Abstracts. 2023 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.5194/egusphere-egu23-8921 - Machine learning-based hydrological models for flash floods: a systematic literature
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Informações sobre o DOI: 10.5194/egusphere-egu23-8921 (Fonte: oaDOI API)
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