A study of precipitation variability in the Duero Basin (Iberian Peninsula)

Abstract Spatial and temporal average behaviour of winter precipitation in the Duero basin (DB) were analysed for 1958–1993. Monthly observed data (observed data) from 34 weather stations and a subset of daily precipitation data from the NCEP/NCAR reanalysis project (reanalysis data) were used. The...

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Published in:International Journal of Climatology
Main Authors: Caramelo, Liliana, Orgaz, M. Dolores Manso
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2006
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Online Access:http://dx.doi.org/10.1002/joc.1403
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spelling crwiley:10.1002/joc.1403 2024-06-02T08:11:41+00:00 A study of precipitation variability in the Duero Basin (Iberian Peninsula) Caramelo, Liliana Orgaz, M. Dolores Manso 2006 http://dx.doi.org/10.1002/joc.1403 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1403 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1403 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 27, issue 3, page 327-339 ISSN 0899-8418 1097-0088 journal-article 2006 crwiley https://doi.org/10.1002/joc.1403 2024-05-03T11:41:38Z Abstract Spatial and temporal average behaviour of winter precipitation in the Duero basin (DB) were analysed for 1958–1993. Monthly observed data (observed data) from 34 weather stations and a subset of daily precipitation data from the NCEP/NCAR reanalysis project (reanalysis data) were used. The spatial variability of winter precipitation was examined using principal component analysis (PCA) for both types of data. The winter precipitation fields are well represented by the first three principal components (PC), which describe 81% and 87% of the total variance for the observed and reanalysis data, respectively. The relationship between the three leading PCs and circulation patterns was also investigated. The PC1 is related to the North Atlantic Pattern (NAO), East Atlantic Pattern (EA) and Pacific North American Pattern (PNA). The PC2 is related to the East Atlantic/West Russia Pattern (EAWR), while the PC3 depends mainly on Scandinavia Pattern (SCAND) influences. The reanalysis data were used to calculate a 10‐day period to study the intra‐annual variation (S‐mode of PCA) and the spatial distribution of those precipitation amounts during the year (T‐mode of PCA). For the intra‐annual variation of precipitation, two modes statistically significant were obtained. The first mode was characterized by a broad maximum that extended from mid October to early April, and a minimum that extended from early May to September. The second mode exhibited two maxima and a minimum. The first maximum occurred in late February and the second maximum extended from early April to June. The minimum extended from mid July to early February. For the spatial distribution of precipitation, we obtained three patterns. The ‘winter’ pattern, which showed a maximum over the western area, the ‘spring’ pattern with a maximum over the eastern area, and the ‘autumn’ with a maximum over the easternmost edge of the basin. Copyright © 2006 Royal Meteorological Society. Article in Journal/Newspaper North Atlantic Wiley Online Library Pacific International Journal of Climatology 27 3 327 339
institution Open Polar
collection Wiley Online Library
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language English
description Abstract Spatial and temporal average behaviour of winter precipitation in the Duero basin (DB) were analysed for 1958–1993. Monthly observed data (observed data) from 34 weather stations and a subset of daily precipitation data from the NCEP/NCAR reanalysis project (reanalysis data) were used. The spatial variability of winter precipitation was examined using principal component analysis (PCA) for both types of data. The winter precipitation fields are well represented by the first three principal components (PC), which describe 81% and 87% of the total variance for the observed and reanalysis data, respectively. The relationship between the three leading PCs and circulation patterns was also investigated. The PC1 is related to the North Atlantic Pattern (NAO), East Atlantic Pattern (EA) and Pacific North American Pattern (PNA). The PC2 is related to the East Atlantic/West Russia Pattern (EAWR), while the PC3 depends mainly on Scandinavia Pattern (SCAND) influences. The reanalysis data were used to calculate a 10‐day period to study the intra‐annual variation (S‐mode of PCA) and the spatial distribution of those precipitation amounts during the year (T‐mode of PCA). For the intra‐annual variation of precipitation, two modes statistically significant were obtained. The first mode was characterized by a broad maximum that extended from mid October to early April, and a minimum that extended from early May to September. The second mode exhibited two maxima and a minimum. The first maximum occurred in late February and the second maximum extended from early April to June. The minimum extended from mid July to early February. For the spatial distribution of precipitation, we obtained three patterns. The ‘winter’ pattern, which showed a maximum over the western area, the ‘spring’ pattern with a maximum over the eastern area, and the ‘autumn’ with a maximum over the easternmost edge of the basin. Copyright © 2006 Royal Meteorological Society.
format Article in Journal/Newspaper
author Caramelo, Liliana
Orgaz, M. Dolores Manso
spellingShingle Caramelo, Liliana
Orgaz, M. Dolores Manso
A study of precipitation variability in the Duero Basin (Iberian Peninsula)
author_facet Caramelo, Liliana
Orgaz, M. Dolores Manso
author_sort Caramelo, Liliana
title A study of precipitation variability in the Duero Basin (Iberian Peninsula)
title_short A study of precipitation variability in the Duero Basin (Iberian Peninsula)
title_full A study of precipitation variability in the Duero Basin (Iberian Peninsula)
title_fullStr A study of precipitation variability in the Duero Basin (Iberian Peninsula)
title_full_unstemmed A study of precipitation variability in the Duero Basin (Iberian Peninsula)
title_sort study of precipitation variability in the duero basin (iberian peninsula)
publisher Wiley
publishDate 2006
url http://dx.doi.org/10.1002/joc.1403
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1403
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1403
geographic Pacific
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genre North Atlantic
genre_facet North Atlantic
op_source International Journal of Climatology
volume 27, issue 3, page 327-339
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.1403
container_title International Journal of Climatology
container_volume 27
container_issue 3
container_start_page 327
op_container_end_page 339
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