Articles | Volume 15, issue 18
© Author(s) 2022. This work is distributed underthe Creative Commons Attribution 4.0 License.
Introduction of the DISAMAR radiative transfer model: determining instrument specifications and analysing methods for atmospheric retrieval (version 4.1.5)
- Final revised paper (published on 16 Sep 2022)
- Preprint (discussion started on 23 Mar 2022)
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor |
: Report abuse
RC1: 'Comment on gmd-2021-439', Pengwang Zhai, 03 Jun 2022
- AC1: 'Reply on RC1 from Dr. Zhai', Ping Wang, 11 Aug 2022
RC2: 'Comment on gmd-2021-439', Minzheng Duan, 16 Jun 2022
- AC2: 'Reply on RC2 from Dr. Duan', Ping Wang, 11 Aug 2022
RC3: 'Comment on gmd-2021-439', Patrick Stegmann, 20 Jun 2022
- AC3: 'Reply on RC3 from Dr. Stegmann', Ping Wang, 11 Aug 2022
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ping Wang on behalf of the Authors (11 Aug 2022)  Author's response Author's tracked changes Manuscript
ED: Publish as is (12 Aug 2022) by Volker Grewe
This paper describe the Determining Instrument Specifications and Analysing Methods for Atmospheric Retrieval (DISAMAR) computer code, which performs both forward radiative transfer model and inversion simulations for the Earth’s atmosphere with different components, for instance, trace gases, aerosols, and clouds, and properties of the ground surface from passive remote sensing observations of the Earth. The main novelty is that DISAMAR flexibly uses a variety of radiative transfer methods when solving multiple scattering of light in the atmosphere, including the layer-based orders of scattering method, adding and doubling, integration of source function, etc. For weakly gas absorbing spectral region, the DISMAS (DIfferential and SMooth Absorption Separated) method is developed to significantly expedite the simulation time while keeping the accuracy. Jacobian (differential of radiance field with respect to retrieval parameters) can be calculated semi-analytically, which is a great advantage in comparison with the finite difference method. The manuscript is clearly written and organization is logical. I suggest the publication of this paper at Geoscientific Model Development (GMD) with some minor revisions. Specifically:
Numerical results for polarized light scattering in a spherical atmosphere, Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 287, 2022, 108194, ISSN 0022-4073, https://doi.org/10.1016/j.jqsrt.2022.108194.
Peng-Wang Zhai, Yongxiang Hu, An improved pseudo spherical shell algorithm for vector radiative transfer, Journal of Quantitative Spectroscopy and Radiative Transfer,
Volume 282, 2022, 108132, ISSN 0022-4073, https://doi.org/10.1016/j.jqsrt.2022.108132.
Peng-Wang Zhai, Yongxiang Hu, David M. Winker, Bryan A. Franz, and Emmanuel Boss, "Contribution of Raman scattering to polarized radiation field in ocean waters," Opt. Express 23, 23582-23596 (2015)
Peng-Wang Zhai, Yongxiang Hu, David M. Winker, Bryan A. Franz, Jeremy Werdell, and Emmanuel Boss, "Vector radiative transfer model for coupled atmosphere and ocean systems including inelastic sources in ocean waters," Opt. Express 25, A223-A239 (2017)