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dc.contributor.authorCampozano Parra, Lenin Vladimir
dc.contributor.authorFeyen, Jan Jozef Albert
dc.contributor.authorSamaniego Alvarado, Esteban Patricio
dc.contributor.authorSanchez Merchan, Esteban Andrés
dc.contributor.authorTenelanda Patiño, Daniel Orlando
dc.contributor.authorVazquez Patiño, Angel Oswaldo
dc.date.accessioned2018-01-11T16:47:03Z-
dc.date.available2018-01-11T16:47:03Z-
dc.date.issued2017-08-01
dc.identifier.issn8998418
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85013055685&doi=10.1002%2fjoc.5008&partnerID=40&md5=98933b3b602fdb244b0042049cf57d49
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/28984-
dc.description.abstractThe reliability of climate models depends ultimately on their adequacy in relevant real situations. However, climate in mountains, a very sensitive system, is scarcely monitored, making the assessment of global climate models (GCMs) projections problematic. This is even more critical for tropical mountain regions, where complex atmospheric processes acting across scales are specially challenging for GCMs. To help bridge this gap, we evaluated the representation of extreme climate indices by GCMs and reanalysis data in the Andes of Ecuador. This work presents an intercomparison of 11 climate precipitation indices (Climate Change Detection and Indices, ETCCDIs) reconstructed for the period 1 January 1981–31 December 2000 using the data of six climate stations situated in a medium-sized Andean catchment in southern Ecuador, reanalysis data sets (RAD) ERA40, ERA-Interim, NCEP/NCAR Reanalysis 1 (NCEP/NCAR-R1) and NCEP/DOE Reanalysis 2 (NCEP/DOE-R2), and the data sets of 19 and 29 models of the Coupled Model Intercomparison Project, Phases 3 and 5 (CMIP3&5). Temporal and spatial analysis highlights that the values and the variability of ETCCDIs based on reanalysis and CMIP3&5 data overestimate observations, especially in ENSO years. However, frequency-type indices are in general better captured than amount-related indices in RAD. In general, reanalysis data displayed a similar uncertainty as the CMIP model data sets and some indices present lower uncertainty. The uncertainty of ETCCDIs based on CMIP5 remains similar to CMIP3 GCMs, with small variations. The indices using NCEP/NCAR-R1, NCEP/DOE-R2, and ERA-Interim data performed better than those obtained with the ERA40 data sets, with no discernible improvement between both NCEP products. It can be concluded that for the given study region CMIP3&5 models and reanalysis products with respectively good and poor performance, exist, however data should be carefully screened before use. Furthermore, these results confirm that the specificity of the studied region is a key to identify limiting aspects on the GCMs and reanalysis extreme climate representation.
dc.language.isoen_US
dc.publisherJOHN WILEY AND SONS LTD
dc.sourceInternational Journal of Climatology
dc.subjectEtccdi Ecuador
dc.subjectEvaluation Of Gcms And Reanalysis Data
dc.subjectExtreme Climate Indices
dc.subjectMountain Regions
dc.subjectPaute Basin
dc.subjectTropical Regions
dc.titleEvaluating extreme climate indices from CMIP3&5 global climate models and reanalysis data sets: a case study for present climate in the Andes of Ecuador
dc.typeArticle
dc.ucuenca.idautor0102677200
dc.ucuenca.idautorEJ147468
dc.ucuenca.idautor0102052594
dc.ucuenca.idautor0105443220
dc.ucuenca.idautor0104784137
dc.ucuenca.idautor0105725634
dc.identifier.doi10.1002/joc.5008
dc.ucuenca.embargoend2022-01-01 0:00
dc.ucuenca.afiliacioncampozano, l., departamento de recursos hídricos y ciencias ambientales, universidad de cuenca, ecuador, laboratory for climatology and remote sensing (lcrs), faculty of geography, university of marburg, germany, facultad de ingeniería, universidad de cuenca, ecuador
dc.ucuenca.afiliacionfeyen, j., departamento de recursos hídricos y ciencias ambientales, universidad de cuenca, ecuador
dc.ucuenca.afiliacionsamaniego, e., departamento de recursos hídricos y ciencias ambientales, universidad de cuenca, ecuador, facultad de ingeniería, universidad de cuenca, ecuador
dc.ucuenca.afiliacionsánchez, e., facultad de ingeniería, universidad de cuenca, ecuador
dc.ucuenca.afiliaciontenelanda, d., departamento de recursos hídricos y ciencias ambientales, universidad de cuenca, ecuador
dc.ucuenca.afiliacionvázquez-patiño, a., departamento de recursos hídricos y ciencias ambientales, universidad de cuenca, ecuador, facultad de ingeniería, universidad de cuenca, ecuador, departamento de ciencias de la computación, universidad de cuenca, ecuador
dc.ucuenca.correspondenciaCampozano, L.; Departamento de Recursos Hídricos y Ciencias Ambientales, Universidad de CuencaEcuador; email: lenin.campozano@ucuenca.edu.ec
dc.ucuenca.volumen37
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.factorimpacto1.823
dc.ucuenca.cuartilQ1
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