Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression

Autores
Salles, M.A.; Canziani, P.O.; Compagnucci, R.H.
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The relationship between annual rainfall totals and gauge elevation over Great Britain is re-examined using the recently developed technique of geographically weighted regression (GWR). This enables the spatial drift of regression parameters to be identified, estimated and mapped. It is shown that the rate of increase of precipitation with height, or height coefficient, varies from around 4.5 mm/m in the northwest to almost zero in the southeast. There is a particularly rapid change in this value across the English Midlands. The predicted sea level precipitation varies from 1250 mm to less than 600 mm in much the same way. Copyright © 2001 Royal Meteorological Society.
Fil:Salles, M.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Canziani, P.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Compagnucci, R.H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fuente
Int. J. Climatol. 2001;21(4):455-466
Materia
Altitude
Great Britain
Modelling
Precipitation
Regression
Precipitation (meteorology)
Rain
Regression analysis
Sea level
Spatial variations
Climatology
altitude
rainfall
raingauge
regression analysis
spatial variation
United Kingdom
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/2.5/ar
Repositorio
Biblioteca Digital (UBA-FCEN)
Institución
Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
OAI Identificador
paperaa:paper_08998418_v21_n4_p455_Salles
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network_acronym_str BDUBAFCEN
repository_id_str 1896
network_name_str Biblioteca Digital (UBA-FCEN)
spelling Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted RegressionSalles, M.A.Canziani, P.O.Compagnucci, R.H.AltitudeGreat BritainModellingPrecipitationRegressionPrecipitation (meteorology)RainRegression analysisSea levelSpatial variationsClimatologyaltituderainfallraingaugeregression analysisspatial variationUnited KingdomThe relationship between annual rainfall totals and gauge elevation over Great Britain is re-examined using the recently developed technique of geographically weighted regression (GWR). This enables the spatial drift of regression parameters to be identified, estimated and mapped. It is shown that the rate of increase of precipitation with height, or height coefficient, varies from around 4.5 mm/m in the northwest to almost zero in the southeast. There is a particularly rapid change in this value across the English Midlands. The predicted sea level precipitation varies from 1250 mm to less than 600 mm in much the same way. Copyright © 2001 Royal Meteorological Society.Fil:Salles, M.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Canziani, P.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.Fil:Compagnucci, R.H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_SallesInt. J. Climatol. 2001;21(4):455-466reponame:Biblioteca Digital (UBA-FCEN)instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesinstacron:UBA-FCENenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/2.5/ar2025-10-16T09:30:07Zpaperaa:paper_08998418_v21_n4_p455_SallesInstitucionalhttps://digital.bl.fcen.uba.ar/Universidad públicaNo correspondehttps://digital.bl.fcen.uba.ar/cgi-bin/oaiserver.cgiana@bl.fcen.uba.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:18962025-10-16 09:30:08.712Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturalesfalse
dc.title.none.fl_str_mv Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
title Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
spellingShingle Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
Salles, M.A.
Altitude
Great Britain
Modelling
Precipitation
Regression
Precipitation (meteorology)
Rain
Regression analysis
Sea level
Spatial variations
Climatology
altitude
rainfall
raingauge
regression analysis
spatial variation
United Kingdom
title_short Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
title_full Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
title_fullStr Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
title_full_unstemmed Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
title_sort Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
dc.creator.none.fl_str_mv Salles, M.A.
Canziani, P.O.
Compagnucci, R.H.
author Salles, M.A.
author_facet Salles, M.A.
Canziani, P.O.
Compagnucci, R.H.
author_role author
author2 Canziani, P.O.
Compagnucci, R.H.
author2_role author
author
dc.subject.none.fl_str_mv Altitude
Great Britain
Modelling
Precipitation
Regression
Precipitation (meteorology)
Rain
Regression analysis
Sea level
Spatial variations
Climatology
altitude
rainfall
raingauge
regression analysis
spatial variation
United Kingdom
topic Altitude
Great Britain
Modelling
Precipitation
Regression
Precipitation (meteorology)
Rain
Regression analysis
Sea level
Spatial variations
Climatology
altitude
rainfall
raingauge
regression analysis
spatial variation
United Kingdom
dc.description.none.fl_txt_mv The relationship between annual rainfall totals and gauge elevation over Great Britain is re-examined using the recently developed technique of geographically weighted regression (GWR). This enables the spatial drift of regression parameters to be identified, estimated and mapped. It is shown that the rate of increase of precipitation with height, or height coefficient, varies from around 4.5 mm/m in the northwest to almost zero in the southeast. There is a particularly rapid change in this value across the English Midlands. The predicted sea level precipitation varies from 1250 mm to less than 600 mm in much the same way. Copyright © 2001 Royal Meteorological Society.
Fil:Salles, M.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Canziani, P.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
Fil:Compagnucci, R.H. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.
description The relationship between annual rainfall totals and gauge elevation over Great Britain is re-examined using the recently developed technique of geographically weighted regression (GWR). This enables the spatial drift of regression parameters to be identified, estimated and mapped. It is shown that the rate of increase of precipitation with height, or height coefficient, varies from around 4.5 mm/m in the northwest to almost zero in the southeast. There is a particularly rapid change in this value across the English Midlands. The predicted sea level precipitation varies from 1250 mm to less than 600 mm in much the same way. Copyright © 2001 Royal Meteorological Society.
publishDate 2001
dc.date.none.fl_str_mv 2001
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_Salles
url http://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_Salles
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/2.5/ar
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Int. J. Climatol. 2001;21(4):455-466
reponame:Biblioteca Digital (UBA-FCEN)
instname:Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron:UBA-FCEN
reponame_str Biblioteca Digital (UBA-FCEN)
collection Biblioteca Digital (UBA-FCEN)
instname_str Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
instacron_str UBA-FCEN
institution UBA-FCEN
repository.name.fl_str_mv Biblioteca Digital (UBA-FCEN) - Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales
repository.mail.fl_str_mv ana@bl.fcen.uba.ar
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score 12.712165

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