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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifierx6e6X3pFwXQZ3DUS8rS5/Dbgij
Repositorycptec.inpe.br/walmeida/2004/08.16.16.10
Last Update2004:12.03.02.00.00 (UTC) administrator
Metadata Repositorycptec.inpe.br/walmeida/2004/08.16.16.10.15
Metadata Last Update2021:02.10.19.21.26 (UTC) administrator
Secondary KeyINPE-11377-PRE/6814
ISSN0882-8156
Citation KeySauloSeluCampFerr:2001:ErEvNC
TitleError evaluation of NCEP and LAHM Regional Model Daily Forecasts over Southern South America
Year2001
Monthdec.
Access Date2024, May 18
Secondary TypePRE PI
Number of Files1
Size759 KiB
2. Context
Author1 Saulo, Celeste
2 Seluchi, Marcelo Enrique
3 Campetella, Claudia
4 Ferreira, Lorena
Resume Identifier1
2 8JMKD3MGP5W/3C9JHP2
Group1 DOP-INPE-MCT-BR
Affiliation1 CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil
e-Mail Addressfabia@cptec.inpe.br
JournalWeather and Forecasting
Volume16
Number6
Pages697-712
History (UTC)2004-12-03 17:51:43 :: Fabia -> administrator ::
2008-06-10 19:50:53 :: administrator -> estagiario ::
2010-05-11 16:54:25 :: estagiario -> administrator ::
2021-02-10 19:21:26 :: administrator -> marciana :: 2001
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordsmodelagem numerica
avaliacao
comparacao
AbstractNCEP short-range operational forecast and Limited Area HIBU (Federal Hydrometeorological Institute and Belgrade University) Model (LAHM) regional model performance during a 2-month period over the southern part of South America are evaluated through the analysis of bias and rmse's. While spatial structure of errors could be only examined using gridded operational analyses as the “ground truth,” observed data have been used at two radiosonde stations to have an independent control of forecast and analysis quality. LAHM precipitation forecast error has been also determined using observed 24-h accumulated precipitation over a subregion of interest. Bias and rmse are, in general, lower for Medium-Range Forecast Model (MRF) 24-h forecasts than for the regional model, though MRF errors appear to be larger than those reported by other studies carried out over the whole Southern Hemisphere, suggesting the necessity to perform regional verification analysis whenever gridded analyses and/or forecasts are being used. This recommendation particularly holds over data-void regions like South America. While geopotential and wind biases do not exhibit a particular pattern in either forecast, there is a clear tendency to cold biases over the whole troposphere, and for the MRF in particular, growing with height. The results obtained from LAHM evaluation suggest that continuous development is needed to keep this regional forecast system as a plausible counterpart of available global model products for fulfillment of local requirements
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDOP > Error evaluation of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://mtc-m16b.sid.inpe.br/ibi/x6e6X3pFwXQZ3DUS8rS5/Dbgij
zipped data URLhttp://mtc-m16b.sid.inpe.br/zip/x6e6X3pFwXQZ3DUS8rS5/Dbgij
Languageen
Target FileSaulo_Error evaluation.pdf
User GroupFabia
administrator
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher6 allowfinaldraft
Read Permissionallow from all
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SQKNE
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.54.36 1
sid.inpe.br/bibdigital/2021/01.02.22.14 1
DisseminationWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Host Collectioncptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
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7. Description control
e-Mail (login)marciana
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