2007
DOI: 10.1002/ppp.576
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Permafrost distribution from BTS measurements (Sierra de Telera, Central Pyrenees, Spain): assessing the importance of solar radiation in a mid‐elevation shaded mountainous area

Abstract: Permafrost distribution was predicted from measurements of basal temperatures of the winter snow cover using a GIS‐based empirical–statistical modelling approach in a mid‐elevation mountainous area, the northern slope of the Sierra de Telera (central Pyrenees, Spain). A total of 223 basal temperature of snow (BTS) measurements were made over 3 years and a multiple linear regression analysis was performed to model the relationship between BTS measurements and three predictor variables: May solar radiation, elev… Show more

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Cited by 38 publications
(24 citation statements)
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“…At these altitudes there is high periglacial efficiency in generating landforms derived from the inter‐relationships between diverse processes such as frost‐cracking, nivation, creep and cryoturbation. The geophysical surveys showed evidence of frozen bodies above 2,590 m a.s.l., and sporadic permafrost at exceptionally low altitudes, as in the Telera massif, at around 1,850–2,000 m a.s.l …”
Section: Discussion: Processes and Thermal Distributionmentioning
confidence: 99%
“…At these altitudes there is high periglacial efficiency in generating landforms derived from the inter‐relationships between diverse processes such as frost‐cracking, nivation, creep and cryoturbation. The geophysical surveys showed evidence of frozen bodies above 2,590 m a.s.l., and sporadic permafrost at exceptionally low altitudes, as in the Telera massif, at around 1,850–2,000 m a.s.l …”
Section: Discussion: Processes and Thermal Distributionmentioning
confidence: 99%
“…With the exception of the Wolf Creek study, however, the methodology used to derive permafrost probabilities from the modeled BTS values is quite different. Permafrost prediction using the BTS method in Europe and elsewhere generally employs the ''rules-of-thumb'' developed by Haeberli (1973) to convert modeled BTS values to the three classes of permafrost probable, possible, and improbable (e.g., Julián and Chueca 2007). Validation of the classes is usually done with landforms (such as rock glaciers), borehole temperatures, or various geophysical techniques, which severely limits the number of validation sites (e.g., Gardaz 1997;Gruber and Hoelzle 2001;Isaksen et al 2002;Janke 2005).…”
Section: Discussionmentioning
confidence: 99%
“…A commonly used technique to model mountain permafrost distribution is the Basal Temperature of Snow (BTS) method developed by Haeberli (1973) and subsequently used in many high elevation areas in Europe and elsewhere (e.g., Hoelzle 1992;Ishikawa and Hirakawa 2000;Isaksen et al 2002;Julián and Chueca 2007). This empirical-statistical methodology can be used to generate detailed permafrost predictions within a geographic information system (GIS).…”
Section: Introductionmentioning
confidence: 99%
“…on southern slopes (Serrano et al . 1999; Julián and Chueca 2007). In fact, these limits are schematic and strongly depend upon topographical factors and snow cover discontinuity.…”
Section: Regional Ground Thermal Regimementioning
confidence: 99%