Spatial modelling of air temperature and precipitation for Andorra (Pyrenees) from daily circulation patterns |
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Authors: | P. Esteban M. Ninyerola M. Prohom |
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Affiliation: | 1. Snow and Mountain Research Centre, Andorran Research Institute, Av Rocafort 21–23, Edifici Molí, 3r pis, AD600, St. Julià de Lòria, Principality of Andorra 2. Group of Climatology, University of Barcelona, Montalegre 6, Barcelona, 08001, Catalonia, Spain 3. Department of Animal Biology, Plant Biology and Ecology, Autonomous University of Barcelona, Cerdanyola del Vallès, 08193, Catalonia, Spain 4. Area of Climatology, Meteorological Service of Catalonia, C Berlin 28-46, 4rt, Barcelona, 08029, Catalonia, Spain
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Abstract: | Based on the daily sea level pressure (SLP) circulation catalogue obtained by Esteban, Martin-Vide and Mases, Int J Climatol 26:1501–1515, (2006) for Western Europe, high-resolution maps of daily maximum and minimum temperature, mean daily precipitation and daily precipitation probability have been obtained for Andorra (Pyrenees). The 20 daily-circulation patterns cover the period 1960–2001 and were generated using new approaches based on the rotated principal component analysis (PCA) and clustering technique. The final maps of Andorra associated with each circulation pattern have been constructed using altitude, latitude, continentality and solar radiation as multiple regression predictors (Ninyerola, Pons and Roure, Int J Climatol 20:1823–1841, 2000). The daily temperature and rainfall series used from Andorran, French and Catalan/Spanish weather stations have been checked for data quality. The results confirm the complexity of the spatial distribution of meteorological phenomena over mountainous areas such as in Andorra, and show the importance of the Mediterranean and Atlantic influence upon the climate of this country of the Pyrenees. On the other hand, different tests have been made showing that the classification results could improve the resulting interpolated climate maps by the use of the circulation-pattern frequencies. |
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