Articles | Volume 11, issue 2
https://doi.org/10.5194/amt-11-1159-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-1159-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Feb 2018
Research article |
| 28 Feb 2018
| 28 Feb 2018
Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2
Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey, RH5 6NT, UK
Yukio Yoshida
Center for Global Environmental Research/Satellite Observation Center, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, Japan 305-8506
Tsuneo Matsunaga
Center for Global Environmental Research/Satellite Observation Center, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, Japan 305-8506
Jan-Peter Muller
Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey, RH5 6NT, UK
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Short summary
We present an assessment of the predicted information content and retrieval errors for 13CH4 retrieval from the planned GOSAT-2 satellite, assuming a wide range of land surface conditions. Retrieval of this quantity may allow for estimation of methane source types (e.g. biological or non-biological) based on the δ13C metric. We conclude that GOSAT-2 can be used for this purpose (to an accuracy of 10 ‰) assuming sufficient spatial (regional) and temporal (at least monthly) averaging.
We present an assessment of the predicted information content and retrieval errors for 13CH4...
