Resultado da Pesquisa
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2 referências similares encontradas (inclusive a original) buscando em 22 dentre 22 Arquivos.
Data e hora local de busca: 16/05/2024 00:56.
1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3JL4EBS
Repositóriosid.inpe.br/mtc-m21b/2015/06.09.12.22
Última Atualização2018:08.27.16.40.52 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2015/06.09.12.22.28
Última Atualização dos Metadados2021:01.02.03.56.39 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoBlacuttHerd:2015:PrCoFo
TítuloPrecipitation comparison of four datasets over complex topography region
Ano2015
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho5162 KiB
2. Contextualização
Autor1 Blacutt, Luis Alberto
2 Herdies, Dirceu Luis
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGTU
Grupo1
2 DMD-CPT-INPE-MCTI-GOV-BR
Afiliação1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 lblacutt@flumsa.edu.bo
2 dirceu.herdies@cptec.inpe.br
Nome do EventoJoin Assembly
Localização do EventoMontreal, Canada
Data3-7 may
Histórico (UTC)2015-06-09 12:22:28 :: simone -> administrator ::
2018-06-04 02:55:26 :: administrator -> simone :: 2015
2018-08-27 16:40:53 :: simone -> administrator :: 2015
2021-01-02 03:56:39 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoAn overwhelming number of applications depend on reliable precipitation estimations. However, over complex terrain in regions such as the Andes or the southwestern Amazon, the spatial coverage of rain gauges is scarce. Two reanalysis datasets, a satellite algorithm and a scheme that combines surface observations with satellite estimations were selected for studying rainfall Bolivia. The selected reanalyses were the Modern-Era Retrospective Analysis for Research and Applications, which has a horizontal resolution conducive for studying rainfall in relatively small precipitation systems, and the Climate Forecast System Reanalysis and Reforecast, which features an improved horizontal resolution. The third dataset was the seventh version of the Tropical Rainfall Measurement Mission 3B42 algorithm. The fourth dataset utilizes a new technique known as the Combined Scheme, which successfully removes satellite bias. All four of these datasets were interpolated to a coarser resolution. This research aimed to describe and compare precipitation in the two reanalysis datasets, the satellite-algorithm dataset, and the Combined Scheme with ground observations. Two seasons were selected for studying the precipitation estimates: the rainy season (DecemberFebruary) and the dry season (JuneAugust). The average, bias, standard deviation, correlation coefficient, and root mean square error were calculated. Moreover, a contingency table was generated to calculate the accuracy, bias frequency, POD, FAR, and ETS. All four datasets correctly depicted the spatial rainfall pattern. However, CFSR and MERRA overestimated precipitation along the Andes' easternfacing slopes and exhibited a dry bias over the eastern Amazon; TRMM3B42 and the Combined Scheme depicted a more realistic rainfall distribution over both the Amazon and the Andes. When separating the precipitation into classes, MERRA and CFSR overestimated light to moderate precipitation (120 mm/day) and underestimated very heavy precipitation (>50 mm/day). TRMM3B42 and CoSch depicted behaviors similar to the surface observations; however, CoSch underestimated the precipitation in very intense systems (>50 mm/day) The statistical variables indicated that CoSch's correlation coefficient was highest for every season and basin.
ÁreaMET
ArranjoPrecipitation comparison of...
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agreement.html 09/06/2015 09:22 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21b.sid.inpe.br/ibi/8JMKD3MGP3W34P/3JL4EBS
URL dos dados zipadoshttp://mtc-m21b.sid.inpe.br/zip/8JMKD3MGP3W34P/3JL4EBS
Idiomaen
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
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5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/43SKC35
Lista de Itens Citandosid.inpe.br/mtc-m21/2012/07.13.14.44.41 1
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarymark tertiarytype type url volume
7. Controle da descrição
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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3T4GKA5
Repositóriosid.inpe.br/mtc-m21c/2019/04.08.13.17
Última Atualização2019:06.13.15.33.54 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/04.08.13.17.53
Última Atualização dos Metadados2021:01.03.02.12.09 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoPalhariniBiscAmarVila:2019:InPaMi
TítuloIntercomparison between passive microwave precipitation estimates and ground-based radar over Brazil using SOS-CHUVA campaign dataset
Ano2019
Data de Acesso16 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho34 KiB
2. Contextualização
Autor1 Palharini, Rayana Santos Araújo
2 Biscaro, Thiago Souza
3 Amaral, Lia Martins Costa do
4 Vila, Daniel Alejandro
Grupo1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
3 MET-MET-SESPG-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 rayana.palharini@gmail.com
2 thiago.biscaro@inpe.br
3 lia.meteorologia@gmail.com
4 daniel.vila@inpe.br
Nome do EventoEGU General Assembly
Localização do EventoVienna, Austria
Data07-12 apr.
Histórico (UTC)2019-04-08 13:17:53 :: simone -> administrator ::
2019-04-10 07:13:51 :: administrator -> simone :: 2019
2019-06-13 15:33:54 :: simone -> administrator :: 2019
2021-01-03 02:12:09 :: administrator -> simone :: 2019
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe accurate measurement of precipitation is important to understand some meteorological systems. Weather systems are complex and evolve rapidly and to measure rain, snow and other types of precipitation on the ground is challenging. However, satellite sensors can provide observations from which precipitation estimates can be generated. In this work, the level 2 instantaneous swath based precipitation products generated by the Goddard Profiling algorithm GPROF2014 scheme are evaluated using standard descriptive and statistical scores against SOS-CHUVA surface radar dataset, over the southeast of Brazil. It was used the passive microwave sensors such as Special Sensor Microwave Imager/Sounder (SSMIS), Microwave Humidity Sounder (MHS), Advanced Technology Microwave Sounder (ATMS), Global Microwave Imager (GMI), Advanced Scanning Microwave Radiometer (AMSR2) which are products of satellites F16, F17, F18, NOAA18, METOPA, METOPB, NPP, GPM, GCOMW, respectively. Preliminary results show that the current GPROF retrieval technique tends to overestimate the occurrence of light precipitation, leading to an overestimation of the volumetric contribution by light precipitation intensities, while it underestimates moderate to heavy precipitation.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > MET > Intercomparison between passive...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Intercomparison between passive...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 08/04/2019 10:17 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3T4GKA5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3T4GKA5
Idiomaen
Arquivo AlvoEGU2019-9072.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
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
sid.inpe.br/bibdigital/2013/10.15.01.34 1
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
e-Mail (login)simone
atualizar