Avaliação do Desempenho das Estimativas de Precipitação para o Leste da Amazônia Article Swipe
Edmir dos Santos Jesus
,
Douglas Batista da Silva Ferreira
,
Antônio Vasconcelos Nogueira Neto
,
Nilzele de Vilhena Gomes Jesus
,
Rômulo Augusto Jucá Oliveira
,
Pedro Alberto Moura Rolim
,
Cláudia Priscila Wanzeler da Costa
,
Renata Gonçalves Tedeschi
,
Vânia dos Santos Franco
,
Ana Paula Paes dos Santos
,
Naurinete de Jesus da Costa Barreto
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26848/rbgf.v17.6.p3974-3991
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.26848/rbgf.v17.6.p3974-3991
O objetivo deste estudo foi avaliar o desempenho de estimadores de precipitação em relação aos dados observados por pluviômetros no leste da Amazônia, abrangendo os estados do Pará, Tocantins e Maranhão no período de janeiro de 2017 a dezembro de 2021. Como referência, foram utilizados dados de precipitação provenientes da Agência Nacional de Águas, do Instituto Nacional de Meteorologia e do Instituto Tecnológico Vale, compondo ao todo 14 postos de medida. As estimativas de precipitação avaliadas foram provenientes dos produtos CHIRPS, CMORPH-HR, CMORPH-BLD, ERA5 e GSMAP, em uma resolução espacial de 0,25° de latitude e longitude. Foram calculadas as médias diária, mensal e anual para comparação subjetiva; e os coeficientes de Nash-Sutcliffe, coeficiente de exatidão, e correlação de Pearson, índice de desempenho e BIAS, para uma análise objetiva. Os resultados mostraram que a maioria dos estimadores subestimaram a precipitação, exceto o CHIRPS. Foi observado que na média mensal a precipitação apresentou melhores estimativas no período seco. Sendo o CMORPH-BLD entre os produtos que apresentou o melhor desempenho baseado nos índices. As diferenças encontradas entre as estimativas de precipitação mostram a importância de avaliações deste tipo, de forma que podem permitir a escolha das estimativas mais adequadas e de forma mais criteriosa em caso de ausência ou falha no conjunto de dados. A topografia e a proximidade do litoral podem ter sido fatores que influenciaram na acurácia das estimativas de precipitação no leste da Amazônia.
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- Type
- article
- Language
- pt
- Landing Page
- https://doi.org/10.26848/rbgf.v17.6.p3974-3991
- OA Status
- gold
- Cited By
- 1
- OpenAlex ID
- https://openalex.org/W4403222859
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4403222859Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.26848/rbgf.v17.6.p3974-3991Digital Object Identifier
- Title
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Avaliação do Desempenho das Estimativas de Precipitação para o Leste da AmazôniaWork title
- Type
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articleOpenAlex work type
- Language
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ptPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-07Full publication date if available
- Authors
-
Edmir dos Santos Jesus, Douglas Batista da Silva Ferreira, Antônio Vasconcelos Nogueira Neto, Nilzele de Vilhena Gomes Jesus, Rômulo Augusto Jucá Oliveira, Pedro Alberto Moura Rolim, Cláudia Priscila Wanzeler da Costa, Renata Gonçalves Tedeschi, Vânia dos Santos Franco, Ana Paula Paes dos Santos, Naurinete de Jesus da Costa BarretoList of authors in order
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https://doi.org/10.26848/rbgf.v17.6.p3974-3991Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.26848/rbgf.v17.6.p3974-3991Direct OA link when available
- Concepts
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Environmental scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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