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Screen air temperature is an important climatological variable and information on its spatial and temporal distribution is of great interest in various scientific disciplines. The low spatial density of meteorological stations, however, results in relatively large errors during data interpolation and makes it difficult to retrieve the spatial pattern of the temperature field.

This study investigates the possibilities of mapping and monitoring the spatial distribution of daily maximum air temperatures with the help of time-series of NOAA-advanced very high resolution radiometer (AVHRR) images.

Data analysis included 31 meterological stations and 148 AVHRR images covering Andalusia in southern Spain during 1992. Regression analysis between the daily maximum air temperature (Tmax) and the afternoon surface skin temperature (Ts) suggests that Tmax is strongly linked to Ts in the given environment and that Tmax can be retrieved from Ts with a mean error of about 2 K. In a second step, the possibilities of retrieving the spatial pattern of Tmax have been evaluated through a cross-validation approach. Again the results indicate that it was possible to reproduce the daily distribution of Tmax with a mean error of the order of 2 to 2.5 K, using satellite retrieved surface skin temperatures. es.

Additional information

Authors: VOGT J, JRC Ispra (IT);VIAU A A, Université Laval, Centre de Recherche en Géomatique, Québec (CA);PAQUET F, Université Laval, Centre de Recherche en Géomatique, Québec (CA)
Bibliographic Reference: Article: International Journal of Climatology
Record Number: 199611175 / Last updated on: 1996-10-28
Original language: en
Available languages: en
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