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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42U8RKE
Repositóriosid.inpe.br/mtc-m21c/2020/07.29.13.23   (acesso restrito)
Última Atualização2020:07.29.13.23.50 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/07.29.13.23.50
Última Atualização dos Metadados2022:01.04.01.35.16 (UTC) administrator
DOI10.1080/01431161.2020.1763504
ISSN0143-1161
Chave de CitaçãoRozanteRamiFernVila:2020:PePrPr
TítuloPerformance of precipitation products obtained from combinations of satellite and surface observations
Ano2020
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho9125 KiB
2. Contextualização
Autor1 Rozante, José Roberto
2 Ramirez Gutierrez, Enver
3 Fernandes, Alex de Almeida
4 Vila, Daniel Alejandro
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHJH
ORCID1 0000-0002-1105-6988
Grupo1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
3 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
4 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 roberto.rozante@inpe.br
2 enver.ramirez@inpe.br
3 alex.fernandes@inpe.br
4 daniel.vila@inpe.br
RevistaInternational Journal of Remote Sensing
Volume41
Número19
Páginas7585-7604
Nota SecundáriaA1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_INTERDISCIPLINAR A2_GEOGRAFIA A2_ENGENHARIAS_IV A2_ENGENHARIAS_III A2_ENGENHARIAS_I A2_CIÊNCIAS_AMBIENTAIS A2_CIÊNCIA_DA_COMPUTAÇÃO B1_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA B1_GEOCIÊNCIAS B1_ENGENHARIAS_II B1_CIÊNCIAS_AGRÁRIAS_I B1_BIODIVERSIDADE B2_SAÚDE_COLETIVA B2_ODONTOLOGIA B3_CIÊNCIAS_BIOLÓGICAS_I B3_BIOTECNOLOGIA B5_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2020-07-29 13:23:50 :: simone -> administrator ::
2020-07-29 13:23:51 :: administrator -> simone :: 2020
2020-07-29 13:24:33 :: simone -> administrator :: 2020
2022-01-04 01:35:16 :: administrator -> simone :: 2020
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoKnowing the spatiotemporal distribution of precipitation is undoubtedly important for planning various economic/social activities, such as agriculture, livestock, and energy production. The coarse observation density over certain regions may significantly compromise the quality of precipitation products interpolated by only surface observations. To minimize the lack of observations over certain regions, the Centre for Weather Forecast and Climate Studies (CPTEC) of National Institute for Space Research (INPE) developed two types of blended precipitation products, namely, the Combined Scheme (CoSch) and MERGE, which combine observed precipitation data with satellite estimates on a daily scale. To understand how different blending methodologies impact the final results, a comparison of each algorithm with independent rain gauges was performed with a focus over the Brazilian territory. Both products were generated at a 10-km horizontal resolution using input data from the Global Precipitation Measurement (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG-Early) for product (Version 5) in conjunction with surface observations from Surface Synoptic Observations (SYNOP), data collection platforms (DCPs) and data from regional meteorological centres. The cumulative 24-hour precipitation was evaluated for the period from June 2014 to June 2017. The results show that both products reliably characterize the precipitation regimes over most of the study regions, although MERGE and CoSch tend to over- and underestimate the amount of precipitation, respectively. However, the magnitude of the Bias achieved by MERGE is smaller than that achieved by CoSch. Overall, MERGE outperforms CoSch when analysing rain/no rain and light to moderate rainfall (0.5 to 20.0 mm). For heavy precipitation (>35.0 mm), the performance of both products is similar. The most significant differences between the two products occur over the Northeast Region of Brazil (R3 and R4), where CoSch tends to encounter difficulties characterizing the precipitation regime during the northeastern wet period (April November). In R3 and R4, MERGE relies more on surface observations, whereas CoSch relies on GPM-IMERG-Early, which could be associated with the deficiency of GPM-IMERG-Early in estimating the amount of precipitation associated with warm clouds.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Performance of precipitation...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Performance of precipitation...
Arranjo 3urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Performance of precipitation...
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoPerformance of precipitation products obtained from combinations of satellite and surface observations.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 5
sid.inpe.br/bibdigital/2021/01.02.22.14 3
sid.inpe.br/bibdigital/2021/01.01.17.20 3
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository month nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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