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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 04:28.
1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/3TCFB28
Repositóriosid.inpe.br/mtc-m21c/2019/05.27.11.07   (acesso restrito)
Última Atualização2019:05.27.11.07.21 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2019/05.27.11.07.21
Última Atualização dos Metadados2021:01.02.22.16.31 (UTC) administrator
DOI10.1007/s00382-018-4457-z
ISSN0930-7575
Chave de CitaçãoAndradeCoelCava:2019:GlPrHi
TítuloGlobal precipitation hindcast quality assessment of the Subseasonal to Seasonal (S2S) prediction project models
Ano2019
MêsMay
Data de Acesso16 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho11858 KiB
2. Contextualização
Autor1 Andrade, Felipe Marques de
2 Coelho, Caio Augusto dos Santos
3 Cavalcanti, Iracema Fonseca de Albuquerque
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JHDE
Grupo1 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
3 DIDMD-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)
Endereço de e-Mail do Autor1 felipestratus@gmail.com
2 caio.coelho@inpe.br
3 iracema.cavalcanti@inpe.br
RevistaClimate Dynamics
Volume52
Número9/10
Páginas5451-5475
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A2_ENGENHARIAS_I A2_ASTRONOMIA_/_FÍSICA B1_CIÊNCIA_DA_COMPUTAÇÃO
Histórico (UTC)2019-05-27 11:07:21 :: simone -> administrator ::
2019-05-27 11:07:22 :: administrator -> simone :: 2019
2019-06-18 17:01:38 :: simone -> administrator :: 2019
2019-07-02 19:02:04 :: administrator -> simone :: 2019
2019-12-06 16:52:49 :: simone -> administrator :: 2019
2021-01-02 22:16:31 :: 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-ChaveSubseasonal prediction
S2S prediction project models
Hindcast quality
Precipitation
Teleconnections
ResumoThis study assessed subseasonal global precipitation hindcast quality from all Subseasonal to Seasonal (S2S) prediction project models. Deterministic forecast quality of weekly accumulated precipitation was verified using different metrics and hindcast data considering lead times up to 4weeks. The correlation scores were found to be higher during the first week and dropped as lead time increased, confining meaningful signals in the tropics mostly due to El Nino-Southern Oscillation and Madden-Julian Oscillation-related effects. The contribution of these two phenomena to hindcast quality was assessed by removing their regressed precipitation patterns from predicted fields. The model's rank showed ECMWF, UKMO, and KMA as the top scoring models even when using a single control member instead of the mean of all ensemble members. The lowest correlation was shared by CMA, ISAC, and HMCR for most weeks. Models with larger ensemble sizes presented noticeable reduction in correlation when subsampled to fewer perturbed members, showing the value of ensemble prediction. Systematic errors were measured through bias and variance ratio revealing in general large positive (negative) biases and variance overestimation (underestimation) over the tropical oceans (continents and/or extratropics). The atmospheric circulation hindcast quality was also examined suggesting the importance of using a relatively finer spatial resolution and a coupled model for resolving the tropical circulation dynamics, particularly for simulating tropical precipitation variability. The extratropical circulation hindcast quality was found to be low after the second week likely due to the inherent unpredictability of the extratropical variability and errors associated with model deficiencies in representing teleconnections.
ÁreaMET
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Global precipitation hindcast...
Arranjo 2urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Global precipitation hindcast...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 27/05/2019 08:07 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoAndrade2019_Article_GlobalPrecipitationHindcastQua.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
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.01.17.20 2
sid.inpe.br/mtc-m21/2012/07.13.14.50.18 1
DivulgaçãoWEBSCI; PORTALCAPES; AGU; 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 orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)simone
atualizar 

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/42JGB6H
Repositóriosid.inpe.br/mtc-m21c/2020/05.30.17.58   (acesso restrito)
Última Atualização2020:11.03.10.48.48 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/05.30.17.58.08
Última Atualização dos Metadados2022:01.04.01.35.10 (UTC) administrator
DOI10.1002/qj.3725
ISSN0035-9009
Chave de CitaçãoGuimarãesCWKBFBS:2020:CoHiQu
TítuloConfiguration and hindcast quality assessment of a Brazilian global sub-seasonal prediction system
Ano2020
MêsApr.
Data de Acesso16 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho7976 KiB
2. Contextualização
Autor1 Guimarães, Bruno dos Santos
2 Coelho, Caio Augusto dos Santos
3 Woolnough, Steven J.
4 Kubota, Paulo Yoshio
5 Bastarz, Carlos Frederico
6 Figueroa, Silvio NIlo
7 Bonatti, José Paulo
8 Souza, Dayana Castilho de
Identificador de Curriculo1
2
3
4
5
6
7 8JMKD3MGP5W/3C9JHJ7
ORCID1 0000-0003-3855-5362
2
3
4 0000-0003-4858-1337
Grupo1 MET-MET-SESPG-INPE-MCTIC-GOV-BR
2 DIDOP-CGCPT-INPE-MCTIC-GOV-BR
3
4 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
6
7 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
8 YYY-CGCPT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 University of Reading
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6
7 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2 caio.coelho@cptec.inpe.br
3
4 paulo.kubota@inpe.br
5 carlos.bastarz@inpe.br
6 silvio.figueroa@inpe.br
RevistaQuarterly Journal of the Royal Meteorological Society
Volume146
Número728
Páginas1067-1084
Nota SecundáriaA1_GEOCIÊNCIAS A2_ENGENHARIAS_I
Histórico (UTC)2020-05-30 18:03:25 :: simone -> administrator :: 2020
2020-06-01 21:02:30 :: administrator -> simone :: 2020
2020-06-19 13:45:40 :: simone -> administrator :: 2020
2020-07-08 17:10:56 :: administrator -> simone :: 2020
2020-11-03 10:48:48 :: simone -> administrator :: 2020
2022-01-04 01:35:10 :: 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
Palavras-Chaveforecast verification
intraseasonal variability
MJO
ResumoThis article presents the Centre for Weather Forecast and Climate Studies (CPTEC) developments for configuring a global sub-seasonal prediction system and assessing its ability in producing retrospective predictions (hindcasts) for meteorological conditions of the following 4 weeks. Six Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) configurations were tested in terms of vertical resolution, deep convection and boundary-layer parametrizations, as well as soil moisture initialization. The aim was to identify the configuration with best performance when predicting weekly accumulated precipitation, weekly mean 2 m temperature (T2M) and the Madden-Julian Oscillation (MJO) daily evolution. Hindcasts assessment was performed for 12 extended austral summers (November-March, 1999/2000- 2010/2011) with two start dates for each month for the six configurations and two ensemble approaches. The first approach, referred to as Multiple Configurations Ensemble (MCEN), was formed of one ensemble member from each of the six configurations. The second, referred to as Initial Condition Ensemble (ICEN), was composed of six ensemble members produced with the chosen configuration as the best using an empirical orthogonal function (EOF) perturbation methodology. The chosen configuration presented high correlation and low root-mean-squared error (RMSE) for precipitation and T2M anomaly predictions at the first week and these indices degraded as lead time increased, maintaining moderate performance up to week-4 over the tropical Pacific and northern South America. For MJO predictions, this configuration crossed the 0.5 bivariate correlation threshold in 18 days. The ensemble approaches improved the correlation and RMSE of precipitation and T2M anomalies. ICEN improved precipitation and T2M predictions performance over eastern South America at week-3 and over northern South America at week-4. Improvements were also noticed for MJO predictions. The time to cross the above-mentioned threshold increased to 21 days for MCEN and to 20 days for ICEN.
ÁreaMET
Arranjo 1urlib.net > DIDOP > Configuration and hindcast...
Arranjo 2Configuration and hindcast...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 30/05/2020 14:58 1.0 KiB 
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoguimaraes_configuration2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3F35TRS
8JMKD3MGPCW/43SKC35
8JMKD3MGPCW/43SQKNE
8JMKD3MGPCW/445QBLE
Lista de Itens Citandosid.inpe.br/bibdigital/2021/01.02.22.14 2
sid.inpe.br/bibdigital/2021/01.01.17.20 2
sid.inpe.br/bibdigital/2021/02.08.18.20 1
DivulgaçãoWEBSCI
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 rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar