1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/428HEUP |
Repositório | sid.inpe.br/mtc-m21c/2020/03.30.11.59 |
Última Atualização | 2020:03.30.11.59.33 (UTC) administrator |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/03.30.11.59.33 |
Última Atualização dos Metadados | 2022:01.04.01.35.02 (UTC) administrator |
DOI | 10.1175/WAF-D-19-0106.1 |
ISSN | 0882-8156 |
Chave de Citação | GublerSBACEJMSSS:2020:AsECSE |
Título | Assessment of ECMWF SEAS5 seasonal forecast performance over South America |
Ano | 2020 |
Mês | Apr. |
Data de Acesso | 30 abr. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 5639 KiB |
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2. Contextualização | |
Autor | 1 Gubler, S. 2 Sedlmeier, K. 3 Bhend, J. 4 Avalos, G. 5 Coelho, Caio Augusto dos Santos 6 Escajadillo, Y. 7 Jacques-Coper, M. 8 Martinez, R. 9 Schwierz, C. 10 Skansi, M. de 11 Spirig, C. H. |
Grupo | 1 2 3 4 5 DIDOP-CGCPT-INPE-MCTIC-GOV-BR |
Afiliação | 1 Federal Office of Meteorology and Climatology, MeteoSwiss 2 Federal Office of Meteorology and Climatology, MeteoSwiss 3 Federal Office of Meteorology and Climatology, MeteoSwiss 4 Servicio Nacional de Meteorología e Hidrología del Perú 5 Instituto Nacional de Pesquisas Espaciais (INPE) 6 Servicio Nacional de Meteorología e Hidrología del Perú 7 Universidad de Concepción 8 Centro Internacional para la Investigación del Fenómeno de El Niño 9 Federal Office of Meteorology and Climatology, MeteoSwiss 10 Servicio Meteorológico Nacional, Buenos Aires 11 Federal Office of Meteorology and Climatology, MeteoSwiss |
Endereço de e-Mail do Autor | 1 stefanie.gubler@meteoswiss.ch 2 3 4 5 caio.coelho@inpe.br |
Revista | Weather and Forecasting |
Volume | 35 |
Número | 2 |
Páginas | 561-584 |
Nota Secundária | A2_INTERDISCIPLINAR A2_GEOCIÊNCIAS |
Histórico (UTC) | 2020-03-30 11:59:33 :: simone -> administrator :: 2020-03-30 11:59:34 :: administrator -> simone :: 2020 2020-06-23 22:27:09 :: simone -> administrator :: 2020 2022-01-04 01:35:02 :: administrator -> simone :: 2020 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Resumo | Seasonal predictions have a great socioeconomic potential if they are reliable and skillful. In this study, we assess the prediction performance of SEAS5, version 5 of the seasonal prediction system of the European Centre for Medium-Range Weather Forecasts (ECMWF), over South America against homogenized station data. For temperature, we find the highest prediction performances in the tropics during austral summer, where the probability that the predictions correctly discriminate different observed outcomes is 70%. In regions lying to the east of the Andes, the predictions of maximum and minimum temperature still exhibit considerable performance, while farther to the south in Chile and Argentina the temperature prediction performance is low. Generally, the prediction performance of minimum temperature is slightly lower than for maximum temperature. The prediction performance of precipitation is generally lower and spatially and temporally more variable than for temperature. The highest prediction performance is observed at the coast and over the highlands of Colombia and Ecuador, over the northeastern part of Brazil, and over an isolated region to the north of Uruguay during DJF. In general, Niño-3.4 has a strong influence on both air temperature and precipitation in the regions where ECMWF SEAS5 shows high performance, in some regions through teleconnections (e.g., to the north of Uruguay). However, we show that SEAS5 outperforms a simple empirical prediction based on Niño-3.4 in most regions where the prediction performance of the dynamical model is high, thereby supporting the potential benefit of using a dynamical model instead of statistical relationships for predictions at the seasonal scale. |
Área | MET |
Arranjo | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Assessment of ECMWF... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/428HEUP |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/428HEUP |
Idioma | en |
Arquivo Alvo | gubler_assessment.pdf |
Grupo de Usuários | simone |
Visibilidade | shown |
Política de Arquivamento | denypublisher6 allowfinaldraft |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/43SQKNE |
Lista de Itens Citando | sid.inpe.br/bibdigital/2021/01.02.22.14 1 |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
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6. Notas | |
Campos Vazios | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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