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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/3SB8P32
Repositóriosid.inpe.br/mtc-m21c/2018/12.04.17.51
Última Atualização2018:12.04.17.51.17 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2018/12.04.17.51.17
Última Atualização dos Metadados2021:01.03.02.11.20 (UTC) administrator
DOI10.3390/rs10111743
ISSN2072-4292
Chave de CitaçãoAmaralBVPVPBSPMGD:2018:AsGrDa
TítuloAssessment of ground-reference data and validation of the H-SAF precipitation products in Brazil
Ano2018
MêsNov.
Data de Acesso08 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho18479 KiB
2. Contextualização
Autor 1 Amaral, Lia Martins Costa do
 2 Barbieri, Stefano
 3 Vila, Daniel Alejandro
 4 Puca, Silvia
 5 Vulpiani, Gianfranco
 6 Panegrossi, Giulia
 7 Biscaro, Thiago Souza
 8 Sanò, Paolo
 9 Petracca, Marco
10 Marra, Anna Cinzia
11 Gosset, Marielle
12 Dietrich, Stefano
ORCID 1 0000-0002-6264-2346
 2
 3 0000-0002-1015-5650
 4
 5
 6
 7
 8 0000-0001-7059-1043
 9
10
11
12 0000-0003-3808-365X
Grupo 1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
 2
 3 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
 4
 5
 6
 7 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Afiliação 1 Instituto Nacional de Pesquisas Espaciais (INPE)
 2 University of L’Aquila
 3 Instituto Nacional de Pesquisas Espaciais (INPE)
 4 Italian Civil Protection Department
 5 Italian Civil Protection Department
 6 Institute of Atmospheric Sciences and Climate (ISAC) National Research Council of Italy (CNR)
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 Institute of Atmospheric Sciences and Climate (ISAC) National Research Council of Italy (CNR)
 9 Italian Civil Protection Department
10 Institute of Atmospheric Sciences and Climate (ISAC) National Research Council of Italy (CNR)
11 Institute of Research for Development (IRD)
12 Institute of Atmospheric Sciences and Climate (ISAC) National Research Council of Italy (CNR)
Endereço de e-Mail do Autor 1 lia.meteorologia@gmail.com
 2 barbieris380@gmail.com
 3 daniel.vila@inpe.br
 4 silvia.puca@protezionecivile.it
 5 gianfranco.vulpiani@protezionecivile.it
 6 giulia.panegrossi@artov.isac.cnr.it
 7 thiago.biscaro@inpe.br
 8 paolo.sano@artov.isac.cnr.it
 9 Marco.Petracca@protezionecivile.it
10 anna.cinzia.marra@gmail.com
11 marielle.gosset@ird.fr
12 s.dietrich@isac.cnr.it
RevistaRemote Sensing
Volume10
Número11
Páginase1743
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2018-12-04 17:51:17 :: simone -> administrator ::
2018-12-04 17:51:17 :: administrator -> simone :: 2018
2018-12-04 17:53:33 :: simone -> administrator :: 2018
2021-01-03 02:11:20 :: administrator -> simone :: 2018
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaverain gauges
radar
quality indexes
satellite rainfall retrievals
validation
ResumoThe uncertainties associated with rainfall estimates comprise various measurement scales: from rain gauges and ground-based radars to the satellite rainfall retrievals. The quality of satellite rainfall products has improved significantly in recent decades; however, such algorithms require validation studies using observational rainfall data. For this reason, this study aims to apply the H-SAF consolidated radar data processing to the X-band radar used in the CHUVA campaigns and apply the well established H-SAF validation procedure to these data and verify the quality of EUMETSAT H-SAF operational passive microwave precipitation products in two regions of Brazil (Vale do Paraíba and Manaus). These products are based on two rainfall retrieval algorithms: the physically based Bayesian Cloud Dynamics and Radiation Database (CDRD algorithm) for SSMI/S sensors and the Passive microwave Neural network Precipitation Retrieval algorithm (PNPR) for cross-track scanning radiometers (AMSU-A/AMSU-B/MHS sensors) and for the ATMS sensor. These algorithms, optimized for Europe, Africa and the Southern Atlantic region, provide estimates for the MSG full disk area. Firstly, the radar data was treated with an overall quality index which includes corrections for different error sources like ground clutter, range distance, rain-induced attenuation, among others. Different polarimetric and non-polarimetric QPE algorithms have been tested and the Vulpiani algorithm (hereafter, Rq2Vu15) presents the best precipitation retrievals when compared with independent rain gauges. Regarding the results from satellite-based algorithms, generally, all rainfall retrievals tend to detect a larger precipitation area than the ground-based radar and overestimate intense rain rates for the Manaus region. Such behavior is related to the fact that the environmental and meteorological conditions of the Amazon region are not well represented in the algorithms. Differently, for the Vale do Paraíba region, the precipitation patterns were well detected and the estimates are in accordance with the reference as indicated by the low mean bias values.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3SB8P32
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3SB8P32
Idiomaen
Arquivo Alvoamaral-assessment.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SRC6S
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.03.02.10 2
DivulgaçãoWEBSCI; PORTALCAPES; MGA; 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 label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
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