Articles | Volume 11, issue 12
https://doi.org/10.5194/amt-11-6679-2018
https://doi.org/10.5194/amt-11-6679-2018
Research article
 | 
18 Dec 2018
Research article |  | 18 Dec 2018

A physics-based approach to oversample multi-satellite, multispecies observations to a common grid

Kang Sun, Lei Zhu, Karen Cady-Pereira, Christopher Chan Miller, Kelly Chance, Lieven Clarisse, Pierre-François Coheur, Gonzalo González Abad, Guanyu Huang, Xiong Liu, Martin Van Damme, Kai Yang, and Mark Zondlo

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Kang Sun on behalf of the Authors (14 Nov 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (18 Nov 2018) by Jun Wang
RR by Anonymous Referee #2 (25 Nov 2018)
RR by Anonymous Referee #1 (30 Nov 2018)
ED: Publish subject to minor revisions (review by editor) (03 Dec 2018) by Jun Wang
AR by Kang Sun on behalf of the Authors (03 Dec 2018)  Author's response   Manuscript 
ED: Publish as is (04 Dec 2018) by Jun Wang
AR by Kang Sun on behalf of the Authors (05 Dec 2018)  Manuscript 
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Short summary
An agile, physics-based approach is developed to oversample irregular satellite observations to a high-resolution common grid. Instead of assuming each sounding as a point or a polygon as in previous methods, the proposed physical oversampling represents soundings as distributions of sensitivity on the ground. This sensitivity distribution can be determined by the spatial response function of each satellite sensor, parameterized as generalized 2-D super Gaussian functions.