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1. Identity statement
Reference TypeJournal Article
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifierx6e6X3pFwXQZ3DUS8rS5/EccJc
Repositorycptec.inpe.br/walmeida/2004/11.17.14.34   (restricted access)
Last Update2005:10.21.11.01.00 (UTC) administrator
Metadata Repositorycptec.inpe.br/walmeida/2004/11.17.14.34.42
Metadata Last Update2021:02.10.23.11.31 (UTC) administrator
Secondary KeyINPE-13475-PRE/8688
ISSN0899-8418
Citation KeyCeballosSouzDant:2001:CoFiSo
TitleCorrelation fields for solar radiation in northeast Brazil
Year2001
Monthjun.
Access Date2024, May 06
Secondary TypePRE PI
Number of Files1
Size817 KiB
2. Context
Author1 Ceballos, Juan Carlos
2 De Souza, J. M.
3 Dantas, A. C. T.
Group1 DSA-INPE-MCT-BR
Affiliation1 CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil
e-Mail Addressatus@cptec.inpe.br
JournalInternational Journal of Climatology
Volume21
Number7
Pages887-902
History (UTC)2006-02-08 15:23:00 :: fabia -> administrator ::
2008-06-10 19:51:20 :: administrator -> estagiario ::
2010-05-11 16:55:23 :: estagiario -> administrator ::
2021-02-10 23:11:31 :: administrator -> marciana :: 2001
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Keywordscorrelation coefficients
factor analysis
northeast Brazil
solar irradiation
energy
AbstractDaily data of solar irradiation were used for analysing spatial decrease of correlation coefficients within northeast Brazil (a region extending over more than 1.5 million km(2)). Available data of the regional climatological network correspond to typical distances between stations of 150 km and more. Two 3-month periods were chosen: March - April May (MAM) and August-September-October (ASO) 1975. It was found that spatial distribution of correlation for daily irradiations does not allow linear interpolations based on network data. However, factor analysis of 5-day means (particularly useful for agricultural pur-poses) allowed identification of four regions with internal similarity of time series behaviour, which is induced by the influence of typical meteorological systems. For this time-scale, correlation coefficients may be 0.7 and higher at rather long distances (in some cases, more than 600 km), so that the climatological network can provide data for a detailed description of the regional distribution of mean irradiation. For shorter time and space scales, a too dense solarimetric network would be necessary, and the use of modem techniques using satellite monitoring over the region may be more appropriate. Copyright (C) 2001 Royal Meteorological Society.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Correlation fields for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileCeballos_Correlation.pdf
User Groupadministrator
fabia
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SRC6S
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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