A New Halocarbon Absorption Model Based on HITRAN Cross-Section Data and New Estimates of Halocarbon Instantaneous Clear-Sky Radiative Forcing
Journal article, 2022

The article describes a new practical model for the infrared absorption of chlorofluorocarbons and other gases with dense spectra, based on high-resolution transmission molecular absorption database (HITRAN) absorption cross-sections. The model is very simple, consisting of frequency-dependent polynomial coefficients describing the pressure and temperature dependence of absorption. Currently it is implemented for the halocarbon species required by the Radiative Forcing Model Intercomparison Project. In cases where cross-section data is available at a range of different temperatures and pressures, this approach offers practical advantages compared to previously available options, and is traceable, since the polynomial coefficients follow directly from the laboratory spectra. The new model is freely available and has several important applications, notably in remote sensing and in developing advanced radiation schemes for global circulation models that include halocarbon absorption. For demonstration, the model is applied to the problem of computing instantaneous clear-sky halocarbon radiative efficiencies and present day radiative forcing. Results are in reasonable agreement with earlier assessments that were carried out with the less explicit Pinnock method, and thus broadly validate that method. Plain Language Summary Chlorofluorocarbons and other related gases have dense and complicated absorption spectra that can be measured in the laboratory. We bring such measurements to a form that can be used for simulations of the transfer of radiation through the atmosphere. Then we use the new model to calculate new estimates of the climate impact of these man-made gases. The results broadly validate earlier calculations that were done with a less explicit method.

radiative forcing

radiative efficiency

halocarbons

absorption cross-section

polynomial model

atmospheric radiative transfer simulator

Author

S.A. Buehler

University of Hamburg

M. Brath

University of Hamburg

O Lemke

University of Hamburg

O. Hodnebrog

Cicero Senter for klimaforskning

Robert Pincus

Lamont-Doherty Earth Observatory

Patrick Eriksson

Chalmers, Space, Earth and Environment, Geoscience and Remote Sensing

Iouli Gordon

Harvard-Smithsonian Center for Astrophysics

Richard Larsson

University of Hamburg

Journal of Advances in Modeling Earth Systems

19422466 (eISSN)

Vol. 14 11 e2022MS003239

Subject Categories

Applied Mechanics

Other Physics Topics

Bioinformatics (Computational Biology)

DOI

10.1029/2022MS003239

More information

Latest update

10/27/2023