Atenção: Todas as denúncias são sigilosas e sua identidade será preservada.
Os campos nome e e-mail são de preenchimento opcional
Metadados | Descrição | Idioma |
---|---|---|
Autor(es): dc.creator | Salles, Leandro de Almeida | - |
Autor(es): dc.creator | Satgé, Frédéric | - |
Autor(es): dc.creator | Roig, Henrique Llacer | - |
Autor(es): dc.creator | Almeida, Tati | - |
Autor(es): dc.creator | Olivetti, Diogo | - |
Autor(es): dc.creator | Ferreira, Welber | - |
Data de aceite: dc.date.accessioned | 2024-10-23T15:05:58Z | - |
Data de disponibilização: dc.date.available | 2024-10-23T15:05:58Z | - |
Data de envio: dc.date.issued | 2020-02-18 | - |
Data de envio: dc.date.issued | 2020-02-18 | - |
Data de envio: dc.date.issued | 2019 | - |
Fonte completa do material: dc.identifier | https://repositorio.unb.br/handle/10482/36921 | - |
Fonte completa do material: dc.identifier | https://doi.org/10.3390/w11040668 | - |
Fonte completa do material: dc.identifier | https://orcid.org/0000-0002-6056-7055 | - |
Fonte: dc.identifier.uri | http://educapes.capes.gov.br/handle/capes/874257 | - |
Descrição: dc.description | This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM)-era datasets. To do so, the Integrated Multi-satellitE Retrievals for GPM (IMERG)-v5 and the Global Satellite Mapping of Precipitation (GSMaP)-v7 were evaluated at their original 0.1 spatial resolution and for a 0.25 grid for comparison with TRMM Multi-satellite Precipitation Analysis (TMPA). The assessment was made on an annual, monthly, and daily basis for both wet and dry seasons. Overall, IMERG presents the best annual and monthly results. In both time steps, IMERG’s precipitation estimations present bias with lower magnitudes and smaller root-mean-square error. However, GSMaP performs slightly better for the daily time step based on categorical and quantitative statistical analysis. Both IMERG and GSMaP estimates are seasonally influenced, with the highest difficulty in estimating precipitation occurring during the dry season. Additionally, the study indicates that GPM-based SPEs products are capable of continuing TRMM-based precipitation monitoring with similar or even better accuracy than obtained previously with the widely used TMPA product. | - |
Descrição: dc.description | Instituto de Geociências (IG) | - |
Formato: dc.format | application/pdf | - |
Publicador: dc.publisher | MDPI | - |
Direitos: dc.rights | Acesso Aberto | - |
Direitos: dc.rights | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). | - |
Palavras-chave: dc.subject | Precipitação (Meteorologia) | - |
Palavras-chave: dc.subject | Satélites artificiais | - |
Palavras-chave: dc.subject | Cerrados | - |
Título: dc.title | Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil’s Central Plateau Region | - |
Tipo de arquivo: dc.type | livro digital | - |
Aparece nas coleções: | Repositório Institucional – UNB |
O Portal eduCAPES é oferecido ao usuário, condicionado à aceitação dos termos, condições e avisos contidos aqui e sem modificações. A CAPES poderá modificar o conteúdo ou formato deste site ou acabar com a sua operação ou suas ferramentas a seu critério único e sem aviso prévio. Ao acessar este portal, você, usuário pessoa física ou jurídica, se declara compreender e aceitar as condições aqui estabelecidas, da seguinte forma: