Temperature sounding of the atmospheric boundary layer (ABL) and lowertroposphere exhibits multilayered temperature inversions specially in highlatitudes during extreme winters. These temperature inversion layers areoriginated based on the combined forcing of local- and large-scale synopticmeteorology. At the local scale, the thermal inversion layer forms near thesurface and plays a central role in controlling the surface radiativecooling and air pollution dispersion; however, depending upon the large-scale synoptic meteorological forcing, an upper level thermal inversion canalso exist topping the local ABL.In this article a numerical methodology is reported to determine thermalinversion layers present in a given temperature profile and deduce some oftheir thermodynamic properties.The algorithm extracts from the temperature profile the most importanttemperature variations defining thermal inversion layers. This isaccomplished by a linear interpolation function of variable length thatminimizes an error function. The algorithm functionality is demonstrated onactual radiosonde profiles to deduce the multilayered temperature inversionstructure with an error fraction set independently.
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