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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
22/02/1999 |
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Data da última atualização: |
30/03/2017 |
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Autoria: |
FLANAGAN, D. C.; LAFLEN, J. M. |
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Título: |
The USDA water erosion prediction project (WEPP)1. |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
Eurasian Soil Science, v.30, n.5, p.524-530, 1997. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Erosion. |
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Thesagro: |
Erosão; Solo. |
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Thesaurus Nal: |
soil. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00429naa a2200169 a 4500
001 1793530
005 2017-03-30
008 1997 bl --- 0-- u #d
100 1 $aFLANAGAN, D. C.
245 $aThe USDA water erosion prediction project (WEPP)1.
260 $c1997
650 $asoil
650 $aErosão
650 $aSolo
653 $aErosion
700 1 $aLAFLEN, J. M.
773 $tEurasian Soil Science$gv.30, n.5, p.524-530, 1997.
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Registro original: |
Embrapa Pantanal (CPAP) |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
23/02/2022 |
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Data da última atualização: |
23/02/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GRIS, D. J.; VENDRUSCULO, L. G.; ZOLIN, C. A. |
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Afiliação: |
DIEGO JOSÉ GRIS, UFSM, Santa-Maria-RS; LAURIMAR GONCALVES VENDRUSCULO, CNPTIA; CORNELIO ALBERTO ZOLIN, CPAMT. |
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Título: |
Evaluation of chirps satellite rainfall data at Mato Grosso, Brazil. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: ENCONTRO DE CIÊNCIA E TECNOLOGIAS AGROSSUSTENTÁVEIS, 2.; JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 7., 2018. Sinop, MT. Resumos... Sinop, MT: Embrapa Agrossilpastoril, 2018. p. 161-164. |
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Idioma: |
Inglês |
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Conteúdo: |
Water is a basic resource for human life and understanding how it cycles in the environment is important for its management. Nevertheless, hydrological models require high quality data in order to accurately reproduce the natural water cycle. Precipitation is one of the most important data required for these models, and it is usually provided by weather stations located across the territory. However, stations tend to be sparsely distributed in developing countries, especially in low populated areas, which is the case of the state of Mato Grosso, Brazil. Mato Grosso has only 36 official weather stations (INMET, 2018) in an area of 903,357 km², resulting in approximately one station for each 25,000 km². Considering this context, satellite-based precipitation products become a useful resource to overcome the lack of a dense weather station network. One of these products is the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS). However, the main issue associated with remote sensed rainfall data is that they are only estimates based on algorithms that compute rainfall amount from satellite measurements, such as cloud temperature (Arkin; Meisner, 1987). Consequently, it is crucial to evaluate the accuracy of these precipitation products before using them in further applications. Therefore, the objective of this study was to compare CHIRPS rainfall data to ground rain gauges in Mato Grosso State, Brazil, and evaluate the satellite estimate accuracy. |
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Palavras-Chave: |
Mato Grosso. |
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Thesagro: |
Análise de Dados; Chuva; Satélite. |
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Thesaurus NAL: |
Accuracy; Data analysis; Rain; Rainfall duration; Satellites. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231808/1/2018-cpamt-caz-evaluation-chirps-satellite-rainfall-data-mato-grosso-p-161-164.pdf
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Marc: |
LEADER 02294nam a2200241 a 4500
001 2140324
005 2022-02-23
008 2018 bl uuuu u00u1 u #d
100 1 $aGRIS, D. J.
245 $aEvaluation of chirps satellite rainfall data at Mato Grosso, Brazil.$h[electronic resource]
260 $aIn: ENCONTRO DE CIÊNCIA E TECNOLOGIAS AGROSSUSTENTÁVEIS, 2.; JORNADA CIENTÍFICA DA EMBRAPA AGROSSILVIPASTORIL, 7., 2018. Sinop, MT. Resumos... Sinop, MT: Embrapa Agrossilpastoril, 2018. p. 161-164.$c2018
520 $aWater is a basic resource for human life and understanding how it cycles in the environment is important for its management. Nevertheless, hydrological models require high quality data in order to accurately reproduce the natural water cycle. Precipitation is one of the most important data required for these models, and it is usually provided by weather stations located across the territory. However, stations tend to be sparsely distributed in developing countries, especially in low populated areas, which is the case of the state of Mato Grosso, Brazil. Mato Grosso has only 36 official weather stations (INMET, 2018) in an area of 903,357 km², resulting in approximately one station for each 25,000 km². Considering this context, satellite-based precipitation products become a useful resource to overcome the lack of a dense weather station network. One of these products is the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS). However, the main issue associated with remote sensed rainfall data is that they are only estimates based on algorithms that compute rainfall amount from satellite measurements, such as cloud temperature (Arkin; Meisner, 1987). Consequently, it is crucial to evaluate the accuracy of these precipitation products before using them in further applications. Therefore, the objective of this study was to compare CHIRPS rainfall data to ground rain gauges in Mato Grosso State, Brazil, and evaluate the satellite estimate accuracy.
650 $aAccuracy
650 $aData analysis
650 $aRain
650 $aRainfall duration
650 $aSatellites
650 $aAnálise de Dados
650 $aChuva
650 $aSatélite
653 $aMato Grosso
700 1 $aVENDRUSCULO, L. G.
700 1 $aZOLIN, C. A.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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