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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br (namespace prefix: upn:3Q3U5H8)
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/436PB32
Repositorysid.inpe.br/mtc-m21c/2020/09.01.14.33   (restricted access)
Last Update2020:09.01.14.33.00 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2020/09.01.14.33.01
Metadata Last Update2022:01.04.01.35.20 (UTC) administrator
DOI10.1007/s11069-020-04011-x
ISSN0921-030X
Citation KeyLoaizaCerónMoRiAnKaCa:2020:PrCoAn
TitleA principal component analysis approach to assess CHIRPS precipitation dataset for the study of climate variability of the La Plata Basin, Southern South America
Year2020
MonthAug.
Access Date2025, Dec. 07
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size6609 KiB
2. Context
Author1 Loaiza Cerón, Wilmar
2 Molina-Carpio, Jorge
3 Rivera, Irma Ayes
4 Andreoli, Rita Valéria
5 Kayano, Mary Toshie
6 Canchala, Teresita
Resume Identifier1
2
3
4
5 8JMKD3MGP5W/3C9JHST
ORCID1 0000-0003-1901-9572
2 0000-0003-4324-5772
3
4
5
6 0000-0002-5208-5515
Group1
2
3
4
5 DIDMD-CGCPT-INPE-MCTIC-GOV-BR
Affiliation1 Universidad del Valle
2 Universidad Mayor de San Andrés
3 Instituto Nacional de Pesquisas da Amazonia (INPA)
4 Universidade do Estado do Amazonas (UEA)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidad del Valle, Cali
Author e-Mail Address1 wilmar.ceron@correounivalle.edu.co
2
3
4
5 mary.kayano@inpe.br
JournalNatural Hazards
Volume103
Number1
Pages767-783
Secondary MarkA1_ENGENHARIAS_I A2_GEOGRAFIA A2_CIÊNCIAS_AGRÁRIAS_I B1_INTERDISCIPLINAR B1_GEOCIÊNCIAS
Host Collectionurlib.net/www/2017/11.22.19.04 upn:3Q3U5H8
History (UTC)2020-09-01 14:33:01 :: simone -> administrator ::
2020-09-01 14:33:01 :: administrator -> simone :: 2020
2020-12-14 14:47:04 :: simone -> administrator :: 2020
2022-01-04 01:35:20 :: administrator -> simone :: 2020
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCHIRPS
Satellite precipitation estimate
Performance metrics
Principal component analysis
La Plata Basin
AbstractThis article assesses the consistency of the satellite precipitation estimate CHIRPS v.2 to describe the spatiotemporal rainfall variability in the La Plata Basin (LPB), the second largest hydrographic basin in South America, by (a) pixel-to-point comparison of CHIRPS data with 167 observed monthly precipitation time series using three pairwise metrics (coefficient of correlation, bias and root mean square error) and (b) principal component analysis (PCA) to evaluate the large-scale coherence between CHIRPS and rain gauge data. The pairwise metrics indicate that CHIRPS better represents the rainfall in the coastal, northeastern and southeastern parts of the basin than in the Andean region to the west. The PCA shows that CHIRPS describes most of the observed rainfall variability in the LPB, but contains more variability, especially during December-February and March-May seasons. The two major modes observed are highly correlated spatially (empirical orthogonal functions-EOFs) and temporally (principal components-PCs) with the corresponding CHIRPS modes. The PCA allows the determination of the main rainfall variability modes and their possible relations with climate variability modes. Besides, the analyses of the precipitation anomaly modes show that the El Nino Southern Oscillation explains the first EOF modes of datasets. The PCA provides an alternative and effective means of assessing the consistency of CHIRPS data in representing spatial and temporal rainfall variability in the LPB.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMD > A principal component...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
Languageen
Target Fileceron_a principal.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/43SKC35
Citing Item Listsid.inpe.br/bibdigital/2021/01.01.17.20 - 16
sid.inpe.br/mtc-m21/2012/07.13.14.56.22 - 13
DisseminationWEBSCI
6. Notes
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