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

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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 t...

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Detalles Bibliográficos
Autores principales: Salles, M.A., Canziani, P.O., Compagnucci, R.H.
Formato: JOUR
Materias:
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
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_Salles
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_08998418_v21_n4_p455_Salles
record_format dspace
spelling todo:paper_08998418_v21_n4_p455_Salles2023-10-03T15:44:13Z Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression Salles, M.A. Canziani, P.O. Compagnucci, R.H. 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 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_Salles
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
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
spellingShingle 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
Salles, M.A.
Canziani, P.O.
Compagnucci, R.H.
Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
topic_facet 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
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.
format JOUR
author Salles, M.A.
Canziani, P.O.
Compagnucci, R.H.
author_facet Salles, M.A.
Canziani, P.O.
Compagnucci, R.H.
author_sort Salles, M.A.
title Spatial Variations in the Average Rainfall-Altitude Relationship in Great Britain: An Approach using Geographically Weighted Regression
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
url http://hdl.handle.net/20.500.12110/paper_08998418_v21_n4_p455_Salles
work_keys_str_mv AT sallesma spatialvariationsintheaveragerainfallaltituderelationshipingreatbritainanapproachusinggeographicallyweightedregression
AT canzianipo spatialvariationsintheaveragerainfallaltituderelationshipingreatbritainanapproachusinggeographicallyweightedregression
AT compagnuccirh spatialvariationsintheaveragerainfallaltituderelationshipingreatbritainanapproachusinggeographicallyweightedregression
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