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

      1 , * , 1 , 1

      UCL Open Environment

      UCL Press

      methane, radiative transfer, GOSAT, isotopologue, SWIR, education, outreach

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          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 ( 13CH 4) from space using the Japanese Greenhouse Gases Observing Satellite 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 13CH 4, with detections limited to total column methane enhancements of >6%, assuming a desert surface albedo of >0.3.

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          A global network of ground-based Fourier transform spectrometers has been founded to remotely measure column abundances of CO(2), CO, CH(4), N(2)O and other molecules that absorb in the near-infrared. These measurements are directly comparable with the near-infrared total column measurements from space-based instruments. With stringent requirements on the instrumentation, acquisition procedures, data processing and calibration, the Total Carbon Column Observing Network (TCCON) achieves an accuracy and precision in total column measurements that is unprecedented for remote-sensing observations (better than 0.25% for CO(2)). This has enabled carbon-cycle science investigations using the TCCON dataset, and allows the TCCON to provide a link between satellite measurements and the extensive ground-based in situ network.
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                Author and article information

                UCL Open Environ
                UCL Open Environment
                UCL Open Environ
                UCL Press (UK )
                10 February 2021
                : 2
                [1 ]Formerly at Imaging Group, Mullard Space Science Laboratory, Department of Space and Climate Physics, University College London, Holmbury St. Mary, Dorking, Surrey, RH5 6NT, UK
                Author notes
                *Corresponding author: Email: edward.malina.13@
                © 2021 The Authors.

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

                Page count
                Figures: 11, Tables: 6, References: 64, Pages: 21
                Funded by: National Centre for Earth Observation (NCEO) through the Natural Environment Research Council (NERC) based in the UK
                Award ID: 157550
                This research has been funded under a PhD grant (award number 157550) from the National Centre for Earth Observation (NCEO) through the Natural Environment Research Council (NERC) based in the UK.
                Research Article


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