Abstract
This article proposes a QGIS plug-in called TempMap, to obtain near surface air temperature maps from an urban meteorological network, the topography description and three parameters describing the urbanized surface fraction. The objective being to facilitate the communication and consideration of local climate in French urban planning practices, some methodological choices were done related to the meteorological situation robustness, the choice of the mapped indicator and the availability of the surface data description. The plug-in allows to apply spatial analytical modelling based on a hybrid interpolation and is here applied to the CAPITOUL atmospheric database of Toulouse (France), the MApUCE urban database and the topographical information from the French National Geographical Institute to obtain air temperature maps for four Local Weather Types. The plug-in can be download from GitHub, is compatible with all QGIS versions since 2.14.12. The evaluation of the model results shows an accuracy comparable to the state-of-the-art with a maximum delta between predicted and observed values of ~1 °C. Here French datasets are used but alternative datasets can be used being also possible to modify the output resolution in order to fit the input data resolution and the needs of the study.
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