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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3HG7P5F
Repositorysid.inpe.br/plutao/2014/12.01.14.14.46
Last Update2014:12.09.13.41.15 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2014/12.01.14.14.47
Metadata Last Update2021:01.02.03.53.00 (UTC) administrator
DOI10.4236/ajcc.2014.33029
ISSN2167-9495
2167-9509
Labellattes: 4336175279058172 4 ChangDereFreiChan:2014:PrMeAs
Citation KeyChangDereFreiChou:2014:PrMeAs
TitleClimate Change Index: A Proposed Methodology for Assessing Susceptibility to Future Climatic Extremes
Year2014
MonthSept. 2014
Access Date2024, May 26
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size8361 KiB
2. Context
Author1 Chang, Manyu
2 Dereczynski, Claudine
3 Freitas, Marcos A. V.
4 Chou, Sin Chan
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JGRQ
Group1
2
3
4 DMD-CPT-INPE-MCTI-GOV-BR
Affiliation1 International Virtual Institute of Global Change (IVIG), COPPE-UFRJ
2 Department of Meteorology, Federal University of Rio de Janeiro
3 International Virtual Institute of Global Change (IVIG), COPPE-UFRJ
4 Instituto Nacional de Pesquisas Espaciais (INPE)
e-Mail Addressmarcelo.pazos@inpe.br
JournalAmerican Journal of Climate Change
Volume03
Number03
Pages326-337
History (UTC)2014-12-01 14:14:47 :: lattes -> administrator ::
2021-01-02 03:53:00 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsClimate Extremes
Index
Climate Change
AbstractA Climate Change Index (CCI) was designed to assess the degree of susceptibility to the climatic extremes projected for the future. Climate projections for the period 2041-2070 are extracted from the numerical integrations of INPEs Eta-HadCM3 model, using the SRES A1B emissions scenario. Five indicators were chosen to represent the climatic extremes: Total annual precipitation, precipitation on the days of heavy rain, the maximum number of consecutive dry days in the year and the annual mean maximum and mean minimum temperatures. The methodology was applied to the state of Paraná. The results point to a very strong warming in 99% of the municipalities, with temperature increases between 6 and 8 times greater than the variance observed in the present climate. On the other hand, projections of precipitation do not indicate major changes in relation to present behavior.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > Climate Change Index:...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://plutao.sid.inpe.br/ibi/8JMKD3MGP3W/3HG7P5F
zipped data URLhttp://plutao.sid.inpe.br/zip/8JMKD3MGP3W/3HG7P5F
Languageen
User Groupadministrator
lattes
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Reader Groupadministrator
marcelo.pazos@inpe.br
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Mirror Repositoryiconet.com.br/banon/2006/11.26.21.31
Next Higher Units8JMKD3MGPCW/43SKC35
Citing Item Listsid.inpe.br/bibdigital/2021/01.01.17.20 4
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination electronicmailaddress format isbn lineage mark nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject targetfile tertiarytype url
7. Description control
e-Mail (login)marcelo.pazos@inpe.br
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