4.5 Article

Validation of MODTRAN®6 and its line-by-line algorithm

Journal

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jqsrt.2017.03.004

Keywords

Radiative transfer; Line-by-line; Voigt function; Band model; Correlated-k; Spectral transmittance

Funding

  1. Air Force Research Laboratory [FA9453-12-C-0262]
  2. Spectral Sciences, Inc.

Ask authors/readers for more resources

A new line-by-line (LBL) algorithm has been developed for use within the MODTRAN (R) 6(1) atmospheric radiative transfer model. The model computes both emitted and scattered line-of-sight radiances utilizing a spherical refractive geometry package and the DISORT discrete ordinate model to solve the 1-D scattering problem. The MODTRAN6 LBL method distinguishes itself from most other monochromatic models in that the radiative transfer problem is solved at arbitrarily fine spectral resolution within disjoint and contiguous 0.1 cm(-1) steps, marching through the user-specified band pass. The advantage of this approach is that the predominantly Lorentzian, temperature and pressure dependent contributions to each 0.1 cm-1 spectral bin from molecular transitions centered more than 0.05 cm-1 from the bin can be summed off-line and fit to a simple analytic form. The line-shape of each molecular transition is explicitly modeled on-the-fly only over a narrow 0.2 cm(-1) sub-region. The challenge of this approach is to ensure that spectral discontinuities do not arise at spectral bin edges, where the method for modeling absorption from individual molecular lines changes abruptly. Interpolations based on the radiative transfer physics of the pre-computed line tail data are introduced to produce a smooth transition across these edges. Spectral validations against LBLRTM verify the fidelity of the approach. The new MODTRAN LBL algorithm is used to quantify the accuracy of the MODTRAN band model and correlated-k statistical approaches under varying conditions. Future upgrades to the MODTRAN band model, correlated-k and LBL methods are also discussed. (C) 2017 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available