A Spatial Distribution Model for Surface Air Temperature Based on Remote Sensing

摘要

To describe the spatial variability of surface air temperature, spatial interpolation and geostatistics based on Geographic Information System (GIS) are widely applied, but they need enough and representative meteorological stations. By analyzing the observed data, a good linear relation was found between surface air temperature and surface temperature. On the basis of this linear relation and incorporating the aerodynamic theory, a spatial distribution model for surface air temperature base on Remote Sensing (RS) was proposed, which mainly depends on the Remote Sensing information with only few non-remote sensing factors. Additionally, a method for simulating the diurnal variation of air temperature was developed based on the observed data at the point scale, and then the values of the instantaneous air temperature estimated by this method were compared with those by the Remote Sensing model. Indicated by the results, the Remote Sensing model can capture the primary spatial variability characteristics of air temperature, and it is valuable for the predictions in ungauged or poorly-gauged regions.