+1 Recommend
1 collections
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS

      This is not the latest version for this article. If you want to read the latest version, click here.
        1 , , 1 , 1
      UCL Open: Environment Preprint
      UCL Press
      Methane, Radiative transfer, GOSAT, Isotopologue, SWIR, Education, Outreach, Climate


            Measurements of methane isotopologues can differentiate between different source types, be they biogenic (e.g. marsh lands) or abiogenic (e.g. industry). Global measurements of these isotopologues would greatly benefit the current disconnect between top-down (knowledge from Chemistry Transport Models and satellite measurements) and bottom-up (in situ measurement inventories) methane measurements. However, current measurements of these isotopologues are limited to a small number of in situ studies and airborne studies. In this paper we investigate the potential for detecting the second most common isotopologue of methane ( 13 CH 4 ) from space using the Japanese Greenhouse Gases Observation Satellite (GOSAT) applying a quick and simple residual radiance analysis technique. The method allows for a rapid analysis of spectral regions, and can be used to teach University students or advanced school students about radiative transfer analysis. Using this method we find limited sensitivity to 13 CH 4 , with detections limited to total column methane enhancements of >6%, assuming a desert surface albedo of >0.3.


            Author and article information

            UCL Open: Environment Preprint
            UCL Press
            18 August 2019
            [1 ] Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey, RH5 6NT, UK.

            This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY) 4.0 https://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

            The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
            Education,Earth & Environmental sciences,Physics
            Methane,Radiative transfer,GOSAT,Isotopologue,SWIR,Education,Outreach,Climate


            Decision date: 3/12/2020

            Handling Editor: Christopher Brierley

            The Handling Editor requested revisions; the article has been returned to the authors to make this revision.

            2020-12-08 11:45 UTC

            Date: 29/9/2019

            Handling Editor: Chris Brierly

            This article is a preprint article and has not been peer-reviewed. It is under consideration following submission to UCL Open: Environment Preprint for open peer review.

            2020-09-17 12:54 UTC
            One person recommends this

            Comment on this article