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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3UHCDPL
Repositóriosid.inpe.br/mtc-m21c/2019/12.09.15.12
Última Atualização2019:12.09.15.12.45 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/12.09.15.12.45
Última Atualização dos Metadados2021:01.03.02.11.26 (UTC) administrator
DOI10.3390/rs11192240
ISSN2072-4292
Chave de CitaçãoSantekDNWBGGNCNSOLCDB:2019:20AtMo
Título2018 Atmospheric Motion Vector (AMV) intercomparison study
Ano2019
MêsOct.
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho5200 KiB
2. Contextualização
Autor 1 Santek, David
 2 Dworak, Richard
 3 Nebuda, Sharon
 4 Wanzong, Steve
 5 Borde, Régis
 6 Genkova, Iliana
 7 García-Pereda, Javier
 8 Negri, Renato Galante
 9 Carranza, Manuel
10 Nonaka, Kenichi
11 Shimoji, Kazuki
12 Oh, Soo Min
13 Lee, Byung-Il
14 Chung, Sung-Rae
15 Daniels, Jaime
16 Bresky, Wayne
ORCID 1
 2
 3
 4 0000-0001-8493-1221
 5
 6
 7
 8
 9
10
11
12 0000-0003-2186-1232
13
14
15 0000-0002-9438-6631
Grupo 1
 2
 3
 4
 5
 6
 7
 8 DIDSA-CGCPT-INPE-MCTIC-GOV-BR
Afiliação 1 University of Wisconsin-Madison
 2 University of Wisconsin-Madison
 3 University of Wisconsin-Madison
 4 University of Wisconsin-Madison
 5 EUMETSAT
 6 National Oceanic and Atmospheric Administration (NOAA)
 7 Agencia Estatal de Meteorología (AEMET)
 8 Instituto Nacional de Pesquisas Espaciais (INPE)
 9 EUMETSAT
10 Japan Meteorological Agency
11 Japan Meteorological Agency
12 Seoul National University
13 Korea Meteorological Administration (KMA)
14 Korea Meteorological Administration (KMA)
15 National Oceanic and Atmospheric Administration (NOAA)
16 National Oceanic and Atmospheric Administration (NOAA)
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8 renato.galante@inpe.br
RevistaRemote Sensing
Volume11
Número19
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2019-12-09 15:12:45 :: simone -> administrator ::
2019-12-09 15:12:46 :: administrator -> simone :: 2019
2019-12-09 15:14:58 :: simone -> administrator :: 2019
2021-01-03 02:11:26 :: 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
Palavras-ChaveAtmospheric Motion Vectors (AMVs)
Intercomparison
Himawari
CPTEC
INPE
EUMETSAT
JMA
KMA
NOAA
NWCSAF
ResumoAtmospheric Motion Vectors (AMVs) calculated by six different institutions (Brazil Center for Weather Prediction and Climate Studies/CPTEC/INPE, European Organization for the Exploitation of Meteorological Satellites/EUMETSAT, Japan Meteorological Agency/JMA, Korea Meteorological Administration/KMA, Unites States National Oceanic and Atmospheric Administration/NOAA, and the Satellite Application Facility on Support to Nowcasting and Very short range forecasting/NWCSAF) with JMA's Himawari-8 satellite data and other common input data are here compared. The comparison is based on two different AMV input datasets, calculated with two different image triplets for 21 July 2016, and the use of a prescribed and a specific configuration. The main results of the study are summarized as follows: (1) the differences in the AMV datasets depend very much on the 'AMV height assignment' used and much less on the use of a prescribed or specific configuration; (2) the use of the 'Common Quality Indicator (CQI)' has a quantified skill in filtering collocated AMVs for an improved statistical agreement between centers; (3) Among the six AMV operational algorithms verified by this AMV Intercomparison, JMA AMV algorithm has the best overall performance considering all validation metrics, mainly due to its new height assignment method: 'Optimal estimation method considering the observed infrared radiances, the vertical profile of the Numerical Weather Prediction wind, and the estimated brightness temperature using a radiative transfer model'.
ÁreaMET
Arranjourlib.net > Fonds > Produção anterior à 2021 > DIDSA > 2018 Atmospheric Motion...
Conteúdo da Pasta docacessar
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Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/3UHCDPL
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/3UHCDPL
Idiomaen
Arquivo Alvosantek_2018.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/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 pages parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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