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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/47MGJRP
Repositorysid.inpe.br/mtc-m21d/2022/09.26.15.26
Last Update2022:09.26.15.26.02 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2022/09.26.15.26.02
Metadata Last Update2023:01.03.16.46.17 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyBaltazarChouDere:2022:SeFoPe
TitleSeasonal forecast performance of the ETA model driven by INPE's BESM model
Year2022
Access Date2024, Sep. 20
Secondary TypePRE CN
Number of Files1
Size139 KiB
2. Context
Author1 Baltazar, Roberto Leo dos Santos
2 Chou, Sin Chan
3 Dereczynski, Claudine
Group1
2 DIMNT-CGCT-INPE-MCTI-GOV-BR
Affiliation1 Universidade Federal do Rio de Janeiro (UFRJ)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Federal do Rio de Janeiro (UFRJ)
Author e-Mail Address1 balbob97@gmail.com
2 chou.sinchan@gmail.com
3 claudine@acd.ufrj.br
Conference NameWorkshop em Modelagem Numérica de Tempo, Clima e Mudanças Climáticas Usando o Modelo Eta: Aspectos Físicos e Numéricos (WorEta), 7
Conference LocationOnline
Date26-30 set. 2022
PublisherINPE
History (UTC)2022-09-26 15:26:02 :: simone -> administrator ::
2023-01-03 16:46:17 :: administrator -> simone :: 2022
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsSeasonal forecasts
South America
Model evaluation
AbstractGlobal climate models are important tools for weather and climate simulations, but the low resolution of their forecasts provide insufficient information for local-scale planning. The introduction of regional climate models allows for the downscaling and additional detailing of the forecasts produced by global models, enabling forecasts for more limited areas and with more specific purposes. The increase in resolution also allows for a greater ability to predict extreme events, which is important in managing water crises and preventing loss of life in natural disasters. The goal of this study is to evaluate the seasonal climate forecasts of the Eta regional model driven by the BESM forecasts, both models developed by CPTEC/INPE, focusing on extreme events that took place in the Brazil Southeast and the São Francisco River Basin. The Eta regional model provides seasonal climate forecasts for all of Brazil with a resolution of 40km, using the sea surface temperatures (SST) predicted by the BESM model. The evaluation of the models predictions consisted of comparing predicted precipitation anomaly values to those observed by MSWEP for a set of years of extreme drought and flood events in the southeast region, for the trimester of December, January and February from 1987 to 2010. The Eta40km model forecasts were also evaluated for air temperature, 2m temperature, mean sea level pressure, vertical velocity and geopotential height, using the ERA5 Reanalysis values for comparison. The results indicate that the Eta40km-BESM system was able to predict the 3 extreme rainfall events identified in the studied period, failed to predict the most intense dry event and predicted the second most intense dry event. In general, the model underestimated predicted precipitation in years with observed positive anomalies and overestimated in years with observed negative anomalies. The seasonal forecast skill is limited, and current model improvement are ongoing.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Seasonal forecast performance...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/47MGJRP
zipped data URLhttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/47MGJRP
Target FileTO_04_A1_BaltazarR.pdf
User Groupsimone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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