Fechar

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 Acesso03 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/mtc-m21/2012/07.13.14.50.18 1
sid.inpe.br/bibdigital/2021/01.01.17.20 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 


Fechar