![]() Systematic comparison of the station data with preliminary grids permitted the identification of further important relations between temperature and geographical and morphological variables. ![]() An essential advance in comparison with many hitherto existing temperature climatologies consists in the efforts that have been made to account for mesoclimatologic effects. This was done for seven horizontal and vertical subregions. This dataset was subjected to spatial temperature interpolation based on multilinear regression techniques regarding elevation, longitude, latitude and distance from the coast. As a side effect, a large and quality-checked database of 1,726 temperature series was set up and an amount of erroneous data, as well as imprecise station coordinates, were corrected. Remarkable efforts have been devoted to multinational data collection, as well as to correction procedures, especially due to inhomogeneities caused by different methods of means estimation. This necessitated a dense and high-quality temperature dataset. At the aimed spatial resolution of 30 arc-seconds (approximately 1 km), temperature distribution is linked to the physiographical features of the earth's surface. The objective of the ECSN/HRT-GAR project (for details see the English project web page ) was the creation of a high-resolution monthly temperature climatology for the greater Alpine region (GAR, 4-19 E and 43-49 N).
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