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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositóriocptec.inpe.br/adm_conf/2005/10.31.21.10
Última Atualização2006:04.15.19.07.00 (UTC) administrator
Repositório de Metadadoscptec.inpe.br/adm_conf/2005/10.31.21.10.52
Última Atualização dos Metadados2018:06.05.03.43.02 (UTC) administrator
Chave de CitaçãoRuizSaulKaln:2006:PrAs
TítuloA regional ensemble forecast system for Southeastern South America: preliminary assessment
FormatoCD-ROM, On-line.
Ano2006
Data de Acesso15 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho314 KiB
2. Contextualização
Autor1 Ruiz, Juan José
2 Saulo, A. Celeste
3 Kalnay, Eugenia
Afiliação1 Centro de Investigaciones del Mar y de la Atmósfera (CONICET/UBA) Intendente Guiraldes 2160 - Ciudad Universitaria Pabellón II - 2do. piso (C1428EGA) Buenos Aires - Argentina (Ruiz
2 Saulo)
3 University of Maryland, College Park, MD 20742, USA 301.405.1000 (Kalnay)
Endereço de e-Mail do Autor1 jruiz@cima.fcen.uba.ar
2 saulo@cima.fcen.uba.ar
3 ekalnay@atmos.umd.edu
EditorVera, Carolina
Nobre, Carlos
Endereço de e-Mailjruiz@cima.fcen.uba.ar
Nome do EventoInternational Conference on Southern Hemisphere Meteorology and Oceanography, 8 (ICSHMO).
Localização do EventoFoz do Iguaçu
Data24-28 Apr. 2006
Editora (Publisher)American Meteorological Society (AMS)
Cidade da Editora45 Beacon Hill Road, Boston, MA, USA
Páginas1977-1984
Título do LivroProceedings
Tipo TerciárioOral
OrganizaçãoAmerican Meteorological Society (AMS)
Histórico (UTC)2005-10-31 21:10:52 :: jruiz@cima.fcen.uba.ar -> administrator ::
2005-11-11 21:54:31 :: administrator -> adm_conf ::
2005-12-16 00:06:38 :: adm_conf -> jruiz@cima.fcen.uba.ar ::
2006-03-29 16:13:15 :: jruiz@cima.fcen.uba.ar -> administrator ::
2006-04-18 21:16:04 :: administrator -> lise@dpi.inpe.br ::
2010-12-28 12:36:45 :: lise@dpi.inpe.br -> administrator ::
2010-12-29 15:58:35 :: administrator -> lise@dpi.inpe.br :: 2006
2010-12-29 16:06:10 :: lise@dpi.inpe.br -> administrator :: 2006
2010-12-29 18:54:20 :: administrator -> banon :: 2006
2011-01-02 17:15:10 :: banon -> administrator :: 2006
2018-06-05 03:43:02 :: administrator -> :: 2006
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Palavras-Chaveensemble forecasting
predictability
South America
forecast skill
ResumoThe main objective of this study is to asses the skill of a short range regional ensemble forecast system over Southeastern South America. The proposed regional ensemble forecast system consists of 9 members: 4 pairs of perturbed forecasts plus a control forecast. The initial and boundary conditions are perturbed using scaled lagged forecasts from the GFS operational runs (up to 96-hr lenght) at 00 and 12 UTC. This technique was applied for the first time to regional forecasting during the SAMEX'98 (Storm and Mesoscale Ensemble Experiment) as described in Hou et. al. (2001).The methodology selected for the initial perturbations generation is of particular interest because it provides consistent perturbed boundary conditions and only requires a set of global operational forecasts. The amplitude of the perturbations is rescaled using the geopotential heights at 200 hPa. so that they have near the same amplitude among them. This has been done to avoid spurious amplitude growth due to the inclusion of older forecasts. These perturbed initial and boundary conditions are used to run a 9-regional forecast ensemble, using WRF V2.0 mesoscale model. The regional domain encompasses South Eastern South America with a horizontal resolution of 50 km, 31 vertical levels and the forecast length is 48 hours. This experiment is performed over a month of the 2005 Southern Hemisphere spring season, so as to analize the importance of the ensemble forecast system over a critical period, characterized by heavy precipitation generally organized in huge mesoscale convective systems. The skill of the ensemble mean is compared against the skill of the control forecast. Also, in order to investigate if the ensemble dispersion could be used to forecast the magnitude and distribution of the control forecast errors, the relationship between these variables is measured over the region. The relationship is explored trough the computation of the spatial correlation between both fields and the temporal correlation of dispersion and error averaged over the entire domain. The root mean-square error (RMSE) between the forecasted fields and the analysis is computed as a function of the forecast time in order to asses the skill of both the ensemble and the control forecast. When available, upper air observations are also used in a similar way. Preliminary results suggest the benefit of adopting an ensemble technique to improve regional forecasts. Still, it remains a critical issue the lack of enough observational data to quantitatively assess the impact in precipitation forecasts.
ÁreaMET
TipoWeather analysis and forecasting
Conteúdo da Pasta docacessar
Conteúdo da Pasta source
ruizetal.doc 29/03/2006 13:13 125.5 KiB 
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m16b.sid.inpe.br/ibi/cptec.inpe.br/adm_conf/2005/10.31.21.10
URL dos dados zipadoshttp://mtc-m16b.sid.inpe.br/zip/cptec.inpe.br/adm_conf/2005/10.31.21.10
Idiomaen
Arquivo Alvo1977-1984.pdf
Grupo de Usuáriosjruiz@cima.fcen.uba.ar
administrator
Visibilidadeshown
5. Fontes relacionadas
Acervo Hospedeirocptec.inpe.br/nobre/2005/06.02.21.14
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notas
Nota1
Campos Vaziosarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier isbn issn label lineage mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume


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