Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence

This paper proposes an interpolation model for monthly rainfall in large areas of complex orography. It has been implemented in the Iberian Peninsula (continental territories of Spain and Portugal), Balearic and Canary Islands covering a territory of almost 600.000 km2. To do this a data set that co...

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Detalles Bibliográficos
Autores: Álvarez-Rodríguez, Javier, Llasat Botija, María del Carmen, Estrela, Teodoro
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/131445
Acceso en línea:https://hdl.handle.net/2445/131445
Access Level:acceso abierto
Palabra clave:Precipitacions (Meteorologia)
Espanya
Interpolació (Matemàtica)
Precipitations (Meteorology)
Spain
Interpolation
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spelling Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influenceÁlvarez-Rodríguez, JavierLlasat Botija, María del CarmenEstrela, TeodoroPrecipitacions (Meteorologia)EspanyaInterpolació (Matemàtica)Precipitations (Meteorology)SpainInterpolationThis paper proposes an interpolation model for monthly rainfall in large areas of complex orography. It has been implemented in the Iberian Peninsula (continental territories of Spain and Portugal), Balearic and Canary Islands covering a territory of almost 600.000 km2. To do this a data set that comprises a total number of 11,822 monthly precipitation series has been created (11,042 provided by the Spanish Meteorological Agency and 780 provided by the National Water Resources Information System of the Portuguese Water Institute). The data set covers the period from October 1940 until September 2005. The interpolation model has been based on the assumption of two different components on monthly precipitation. The first component reflects local and seasonal characteristics and 24 different mean monthly precipitation maps (12) and SDs maps (12) compose it. It considers the varying influence of physiographic variables such as altitude and orientation. The second precipitation component reflects the synoptic pattern that dominated each month of the series and it is composed by series of anomalies of monthly precipitation (780). Anomalies have been interpolated by means of ordinary kriging once local spatial continuity was assumed. Gridded maps of each variable have been developed at 200 m resolution following a hybrid methodology that implements two different interpolation techniques. The first technique applies a regression analysis to derive maps depending on altitude and orientation; the second one is a weighting technique to consider the non‐linearity of the precipitation/altitude dependence. Cross validation has been applied to estimate the goodness of both techniques. Results show an average annual precipitation of 655 mm/year. Although this figure is only 4% less than the estimate of MAGRAMA (2004), regional and local differences are highlighted when the spatial distribution is considered. The model constitutes a comprehensive implementation considering the availability of historical records and the need of avoiding slow calculations in large territories.Wiley2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/131445Articles publicats en revistes (Física Aplicada)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1002/joc.6051International Journal of Climatology, 2019, vol. 2019, p. 1-14https://doi.org/10.1002/joc.6051(c) Royal Meteorological Society, 2019info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1314452026-05-27T06:46:51Z
dc.title.none.fl_str_mv Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
title Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
spellingShingle Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
Álvarez-Rodríguez, Javier
Precipitacions (Meteorologia)
Espanya
Interpolació (Matemàtica)
Precipitations (Meteorology)
Spain
Interpolation
title_short Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
title_full Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
title_fullStr Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
title_full_unstemmed Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
title_sort Development of a hybrid model to interpolate monthly precipitation maps incorporating the orographic influence
dc.creator.none.fl_str_mv Álvarez-Rodríguez, Javier
Llasat Botija, María del Carmen
Estrela, Teodoro
author Álvarez-Rodríguez, Javier
author_facet Álvarez-Rodríguez, Javier
Llasat Botija, María del Carmen
Estrela, Teodoro
author_role author
author2 Llasat Botija, María del Carmen
Estrela, Teodoro
author2_role author
author
dc.subject.none.fl_str_mv Precipitacions (Meteorologia)
Espanya
Interpolació (Matemàtica)
Precipitations (Meteorology)
Spain
Interpolation
topic Precipitacions (Meteorologia)
Espanya
Interpolació (Matemàtica)
Precipitations (Meteorology)
Spain
Interpolation
description This paper proposes an interpolation model for monthly rainfall in large areas of complex orography. It has been implemented in the Iberian Peninsula (continental territories of Spain and Portugal), Balearic and Canary Islands covering a territory of almost 600.000 km2. To do this a data set that comprises a total number of 11,822 monthly precipitation series has been created (11,042 provided by the Spanish Meteorological Agency and 780 provided by the National Water Resources Information System of the Portuguese Water Institute). The data set covers the period from October 1940 until September 2005. The interpolation model has been based on the assumption of two different components on monthly precipitation. The first component reflects local and seasonal characteristics and 24 different mean monthly precipitation maps (12) and SDs maps (12) compose it. It considers the varying influence of physiographic variables such as altitude and orientation. The second precipitation component reflects the synoptic pattern that dominated each month of the series and it is composed by series of anomalies of monthly precipitation (780). Anomalies have been interpolated by means of ordinary kriging once local spatial continuity was assumed. Gridded maps of each variable have been developed at 200 m resolution following a hybrid methodology that implements two different interpolation techniques. The first technique applies a regression analysis to derive maps depending on altitude and orientation; the second one is a weighting technique to consider the non‐linearity of the precipitation/altitude dependence. Cross validation has been applied to estimate the goodness of both techniques. Results show an average annual precipitation of 655 mm/year. Although this figure is only 4% less than the estimate of MAGRAMA (2004), regional and local differences are highlighted when the spatial distribution is considered. The model constitutes a comprehensive implementation considering the availability of historical records and the need of avoiding slow calculations in large territories.
publishDate 2019
dc.date.none.fl_str_mv 2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/131445
url https://hdl.handle.net/2445/131445
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1002/joc.6051
International Journal of Climatology, 2019, vol. 2019, p. 1-14
https://doi.org/10.1002/joc.6051
dc.rights.none.fl_str_mv (c) Royal Meteorological Society, 2019
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Royal Meteorological Society, 2019
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Articles publicats en revistes (Física Aplicada)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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