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Spatial Modeling of Climatic Parameter Fluctuation Mapping Temperature Variation in the Bermejo Basin from 1901 to 2000


Conclusions
The major aim of this study, the development of a method for mapping and analyzing the temporary variations of climatic parameters linked to the global climate change, is achieved. This method focuses on the use of geographic information systems (GIS) and was used to produce temperature variation maps of the Bermejo Basin, in northwest Argentina.

The application of this method has led to the procurement of the following products: 1) a digital long-term climatic database of the Bermejo Basin; 2) annual mean air temperature maps for different periods; 3) maps showing annual mean temperature temporal variation between two consecutive periods; 4) thermal zones maps for different periods; 5) maps showing thermal zones shift between two consecutive periods; 6) combined maps presenting land-use and/or vegetation types together with temperature temporal variations between two consecutive periods; 7) the geo-database of Bermejo Basin, built up using dependency links among objects.

The implementation of dependency links among objects in the geo-database developed during this mapping process, consisting of tables, formulae, maps and their relationships, allows the automated recalculation of any dependent output maps and/or tables when input source maps, tables or formulae are improved. This ability facilitates the use of this geo-database for spatial model testing and other analytical purposes, what will lead to further improvement on the results and on the production of maps representing variations of other climatic parameters.

The method presented allowed the visual assessment of temperature variations within different land cover types, what led to the identification of areas most likely affected by temperature variations within different cartographic units, to quantify the magnitude of these variations within each unit, to report them statistically, and to relate these magnitudes to the degrees of the occurred impacts within each unit.

This method is regarded as a contribution to the study of climate change, to be also used at smaller scales together with general circulation models (GCM), as a complementary approach for simulating the distribution of present and potential climate change.

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