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dc.contributor.author
Doyle, Moira Evelina

dc.date.available
2020-12-22T13:21:23Z
dc.date.issued
2019-08
dc.identifier.citation
Doyle, Moira Evelina; Observed and Simulated Changes in Precipitation Seasonality in Argentina; John Wiley & Sons Ltd; International Journal of Climatology; 40; 3; 8-2019; 1716-1737
dc.identifier.issn
0899-8418
dc.identifier.uri
http://hdl.handle.net/11336/121019
dc.description.abstract
Seasonality in Argentina is examined using precipitation observations from 56 weather stations north of 42°S and CRU gridded precipitation. The Walsh and Lawler Seasonality Index (SI) and Precipitation Concentration Index (PCI) are calculated to determine the different seasonality regimes. The main characteristic is an eastwest gradient, where precipitation tends to be more evenly distributed throughout the different months of the year in the east while rainfall in the west is concentrated in 3 months or less. High replicability values indicate that the wettest month generally occurs during a same period of months in central and northern Argentina. Several stations in eastern humid Argentina have significant positive changes in the mean of seasonality indices between 1961 and 1985 and 1986 and 2010, and increasing trend. In most cases this leads to a change in the regime from rather seasonal with a short dry season to a seasonal regime. Through a PAM Clustering technique a new regionalization of precipitation seasonality is obtained. The mean series in each cluster show a tendency towards more seasonal and highly seasonal regimes in all regions. The SI and PCI indices were calculated using the precipitation outputs of 18 global climate models (GCMs) from the Coupled Model Inter-comparison Project Phase 5 (CMIP5) to examine the ability of these models to represent seasonality spatial distribution and changes in Argentina. To some extent the spatial distribution of seasonality is captured by models; however, there are considerable discrepancies in the location and extension of the eastwest gradient. The sign and location of trends and changes in the mean SI and PCI are adequately reproduced in only a few models. The low ability of GCMs to represent seasonality and its changes is a consequence of the difficulties GCMs have simulating precipitation characteristics in Argentina reported by different authors.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
John Wiley & Sons Ltd

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARGENTINA
dc.subject
CMIP5
dc.subject
PRECIPITATION CONCENTRATION
dc.subject
PRECIPITATION SEASONALITY
dc.subject
TRENDS
dc.subject.classification
Investigación Climatológica

dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Observed and Simulated Changes in Precipitation Seasonality in Argentina
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-13T20:44:02Z
dc.journal.volume
40
dc.journal.number
3
dc.journal.pagination
1716-1737
dc.journal.pais
Reino Unido

dc.journal.ciudad
Londres
dc.description.fil
Fil: Doyle, Moira Evelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.journal.title
International Journal of Climatology

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.6297
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/joc.6297
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