Articles | Volume 8, issue 5
https://doi.org/10.5194/amt-8-2051-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-2051-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Department of Atmospheric Sciences, Geophysical Institute and College of Natural Science and Mathematics, University of Alaska Fairbanks, 903 Koyukuk Dr., Fairbanks, Alaska 99775, USA
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32 citations as recorded by crossref.
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- Identification and intercomparison of surface‐based inversions over Antarctica from IASI, ERA‐Interim, and Concordiasi dropsonde data P. Boylan et al. 10.1002/2015JD024724
- Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska, during ALPACA-2022 N. Brett et al. 10.5194/acp-25-1063-2025
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- Autumn and spring observations of PM2.5-bound polycyclic aromatic hydrocarbons and nitro-polycyclic aromatic hydrocarbons in China and Japan L. Zhang et al. 10.1016/j.envpol.2023.123139
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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...
