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1. Identity statement
Reference TypeConference Abstract (Conference Proceedings)
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Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/34UH5PE
Repositorysid.inpe.br/mtc-m18@80/2009/03.19.13.23   (restricted access)
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Metadata Repositorysid.inpe.br/mtc-m18@80/2009/03.19.13.23.51
Metadata Last Update2021:01.02.03.56.10 (UTC) administrator
Secondary KeyINPE--PRE/
Citation KeyMendesMare:2008:SoAmPr
TitleMeasuring projections of climate change skill: South America precipitation using IPCC models
FormatOn-line
Year2008
Access Date2024, Apr. 24
Secondary TypePRE CI
Number of Files1
Size3540 KiB
2. Context
Author1 Mendes, David
2 Marengo, José Antonio
Group1 DMD-CPT-INPE-MCT-BR
2 CST-CST-INPE-MCT-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
Conference NameEGU General Assembly.
Conference LocationVienna, Austria
Date2008
Book TitleAbstracts
Tertiary TypeOral Technical Session
History (UTC)2009-03-19 16:53:05 :: deicy -> administrator ::
2021-01-02 03:56:10 :: administrator -> simone :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsSout America
precipitation
artificial neural network
meteorology
AbstractAs Histoty embraces the beginning of a new millennium, old problem still constitute enormous challenges to the popoulation in general, and to the academic world in particular. It is now widely accepted that General Circulation Models (CCMs) represent the most satisfactory technique to answer these challengs (IPCC, 1996). Numerical models (General Circulation Models or GCMs), representing physical processes in the atmosphere, ocean, cryosphere and land surface, are the most advanced tools currently. avaible for simulating the respose of the global climate system ti increasing greenhouse gas concentrations. This work analyses the performance of the IPCC models (CCma, CCSRNIES, CSIRO, GFDL, HACM3, and others) in simulate the present and future climate pattern of the rainfall over the South America Continent. It general the models get to reproduce the phase of the annual cycle of the rainfall. In this work was used four common metric are reviewed, the Heidke skill score, relative operating characteristic (ROC) skill score, equitable threat score, and the rank analog.
AreaMET
ArrangementMeasuring projections of...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Languageen
Target Filedmendes_egu2008.pdf
User Groupadministrator
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Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Mirror Repositorysid.inpe.br/mtc-m18@80/2008/03.17.15.17.24
Next Higher Units8JMKD3MGPCW/3F3T29H
8JMKD3MGPCW/43SKC35
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor electronicmailaddress isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
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