Open AccessMethane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms
Author(s) -
Schepers D.,
Guerlet S.,
Butz A.,
Landgraf J.,
Frankenberg C.,
Hasekamp O.,
Blavier J.F.,
Deutscher N. M.,
Griffith D. W. T.,
Hase F.,
Kyro E.,
Morino I.,
Sherlock V.,
Sussmann R.,
Aben I.
Publication year - 2012
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2012jd017549
Subject(s) - environmental science , shortwave , methane , remote sensing , satellite , standard deviation , greenhouse gas , meteorology , cirrus , atmospheric sciences , computer science , radiative transfer , physics , mathematics , chemistry , optics , geology , statistics , oceanography , organic chemistry , astronomy
We compare two conceptually different methods for determining methane column‐averaged mixing ratios from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared (SWIR) measurements. These methods account differently for light scattering by aerosol and cirrus. The proxy method retrieves a CO 2 column which, in conjunction with prior knowledge on CO 2 acts as a proxy for scattering effects. The physics‐based method accounts for scattering by retrieving three effective parameters of a scattering layer. Both retrievals are validated on a 19‐month data set using ground‐based at 12 stations of the Total Carbon Column Observing Network (TCCON), showing comparable performance: for the proxy retrieval we find station‐dependent retrieval biases from −0.312% to 0.421% of a standard deviation of 0.22% and a typical precision of 17 ppb. The physics method shows biases between −0.836% and −0.081% with a standard deviation of 0.24% and a precision similar to the proxy method. Complementing this validation we compared both retrievals with simulated methane fields from a global chemistry‐transport model. This identified shortcomings of both retrievals causing biases of up to 1ings and provide a satisfying validation of any methane retrieval from space‐borne SWIR measurements, in our opinion it is essential to further expand the network of TCCON stations.