JpGU-AGU Joint Meeting 2017

Presentation information

[JJ] Oral

A (Atmospheric and Hydrospheric Sciences) » A-AS Atmospheric Sciences, Meteorology & Atmospheric Environment

[A-AS11] [JJ] Atmospheric Chemistry

Tue. May 23, 2017 3:30 PM - 5:00 PM 301B (International Conference Hall 3F)

convener:Hitoshi Irie(Center for Environmental Remote Sensing, Chiba University), Toshinobu Machida(National Institute for Environmental Studies), Hiroshi Tanimoto(National Institute for Environmental Studies), Yoko Iwamoto(Graduate School of Biosphere Science, Hiroshima University), Chairperson:Naoko Saitoh(Center for Environmental Remote Sensing)

4:45 PM - 5:00 PM

[AAS11-12] Theoretical Studies of Spectroscopic Line Mixing in Remote Sensing Applications

*Qiancheng Ma1, Christian Boulet2, Richard Tipping3 (1.Columbia University of New York City, USA, 2.Institut des Sciences Moleculaires Orsay (ISMO), CNRS (UMR8214) and Universite Paris-Sud Bat 350, Campus dOrsay F-91405, FRANCE, 3.Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487-0324, USA)

Keywords:Line mixing, relaxation matrix, line shape parameters, pressure broadened half-widths and shifts

The phenomenon of collisional transfer of intensity due to line mixing has an increasing importance for atmospheric monitoring. From a theoretical point of view, all relevant information about the collisional effect on line shapes is contained in the relaxation matrix whose diagonal elements are the half-widths and shifts of individual lines while the off-diagonal elements correspond to line interferences. For simple systems such as those consisting of diatom-atom or diatom-diatom, accurate fully quantum calculations based on sophisticated and realistic interaction potentials are feasible. However, fully quantum calculations become unrealistic for more complex systems. Meanwhile, due to relaying on the isolated line approximation, the semi-classical Robert-Bonamy formalism, which has been widely used to calculate half-widths and shifts for decades, fails in calculating the off-diagonal matrix elements. As a result, in order to simulate atmospheric spectra where effects from line mixing are important, semi-empirical fitting or scaling laws such as the energy corrected sudden (ECS) and infinite order sudden (IOS) models are commonly used. Recently, we have found that in developing semi-classical line shape theories, to rely on the isolated line approximation is not necessary [1]. By eliminating this assumption, we have developed a more capable formalism that enables one not only to reduce uncertainties of calculated half-widths and shifts, but also to calculate the whole relaxation matrix. Thanks to this progress, one can address the line mixing based on interaction potentials between two interacting molecules. We have applied this formalism for Raman and infrared spectra of linear molecules [1-4], asymmetric-top molecule [5], and symmetric tops with inversion symmetry such as the NH3 molecule [6-8]. Our calculated half-widths of NH3 lines in the parallel and perpendicular bands match measurements very well. Furthermore, the method has been applied to the calculation of the shape of the Q branch and of some R manifolds in the nu1 band of NH3, for which an obvious signature of line mixing effects has been experimentally demonstrated. Similarly, the formalism very well reproduces off diagonal elements measured in some of pP doublets in the nu4 band. In summary, comparisons with measurements show that predictions from the new formalism accurately match the experimental line shapes.
[1] Q. Ma, C. Boulet and R.H. Tipping, J. Chem. Phys. 139, 034305 (2013).
[2] C. Boulet, Q. Ma and F. Thibault, J. Chem. Phys. 140, 084310 (2014).
[3] Q. Ma, C. Boulet and R.H. Tipping, J. Chem. Phys. 140, 104304 (2014).
[4] C. Boulet, Q. Ma and R.H. Tipping, J. Chem. Phys. 143, 124313 (2015).
[5] Q. Ma, C. Boulet and R.H. Tipping, J. Chem. Phys. 140, 244301 (2014).
[6] Q. Ma and C. Boulet, J. Chem. Phys. 144, 224303 (2016).
[7] C. Boulet and Q. Ma, J. Chem. Phys. 144, 224303 (2016).
[8] Q. Ma, C. Boulet and R.H. Tipping, JQSRT. (2017).