Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 3.668
IF3.668
IF 5-year value: 3.707
IF 5-year
3.707
CiteScore value: 6.3
CiteScore
6.3
SNIP value: 1.383
SNIP1.383
IPP value: 3.75
IPP3.75
SJR value: 1.525
SJR1.525
Scimago H <br class='widget-line-break'>index value: 77
Scimago H
index
77
h5-index value: 49
h5-index49
Volume 8, issue 5
Atmos. Meas. Tech., 8, 2051–2060, 2015
https://doi.org/10.5194/amt-8-2051-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 8, 2051–2060, 2015
https://doi.org/10.5194/amt-8-2051-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 11 May 2015

Research article | 11 May 2015

Methodology for determining multilayered temperature inversions

G. J. Fochesatto G. J. Fochesatto
  • Department of Atmospheric Sciences, Geophysical Institute and College of Natural Science and Mathematics, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, Alaska 99775, USA

Abstract. Temperature sounding of the atmospheric boundary layer (ABL) and lower troposphere exhibits multilayered temperature inversions specially in high latitudes during extreme winters. These temperature inversion layers are originated based on the combined forcing of local- and large-scale synoptic meteorology. At the local scale, the thermal inversion layer forms near the surface and plays a central role in controlling the surface radiative cooling and air pollution dispersion; however, depending upon the large-scale synoptic meteorological forcing, an upper level thermal inversion can also exist topping the local ABL.

In this article a numerical methodology is reported to determine thermal inversion layers present in a given temperature profile and deduce some of their thermodynamic properties.

The algorithm extracts from the temperature profile the most important temperature variations defining thermal inversion layers. This is accomplished by a linear interpolation function of variable length that minimizes an error function. The algorithm functionality is demonstrated on actual radiosonde profiles to deduce the multilayered temperature inversion structure with an error fraction set independently.

Publications Copernicus
Download
Short summary
Temperature inversion layers originate based on the combined forcing of local- and large-scale synoptic meteorology. A numerical procedure based on a linear interpolation function of variable length that minimizes an error function set a priori is proposed to extract thermodynamic information of the multilayered thermal structure. The method is demonstrated to detect surface-based inversion and multilayered elevated inversions present often in high-latitude atmospheres.
Temperature inversion layers originate based on the combined forcing of local- and large-scale...
Citation