Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/28313
Title: HDO/H₂O ratio retrievals from GOSAT
Authors: Boesch, H.
Deutscher, N.M.
Warneke, T.
Byckling, K.
Cogan, Austin James
Griffith, D.W.T.
Notholt, J.
Parker, R.J.
Wang, Z.
First Published: 7-Mar-2013
Publisher: Copernicus GmbH (Copernicus Publications) on behalf of the European Geosciences Union (EGU)
Citation: Atmospheric Measurement Techniques, 2013, 6 (3), pp. 599-612
Abstract: We report a new shortwave infrared (SWIR) retrieval of the column-averaged HDO/H[subscript 2]O ratio from the Japanese Greenhouse Gases Observing Satellite (GOSAT). From synthetic simulation studies, we have estimated that the inferred δD values will typically have random errors between 20‰ (desert surface and 30° solar zenith angle) and 120‰ (conifer surface and 60° solar zenith angle). We find that the retrieval will have a small but significant sensitivity to the presence of cirrus clouds, the HDO a priori profile shape and atmospheric temperature, which has the potential of introducing some regional-scale biases in the retrieval. From comparisons to ground-based column observations from the Total Carbon Column Observing Network (TCCON), we find differences between δD from GOSAT and TCCON of around −30‰ for northern hemispheric sites which increase up to −70‰ for Australian sites. The bias for the Australian sites significantly reduces when decreasing the spatial co-location criteria, which shows that spatial averaging contributes to the observed differences over Australia. The GOSAT retrievals allow mapping the global distribution of δD and its variations with season, and we find in our global GOSAT retrievals the expected strong latitudinal gradients with significant enhancements over the tropics. The comparisons to the ground-based TCCON network and the results of the global retrieval are very encouraging, and they show that δD retrieved from GOSAT should be a useful product that can be used to complement datasets from thermal-infrared sounder and ground-based networks and to extend the δD dataset from SWIR retrievals established from the recently ended SCIAMACHY mission.
DOI Link: 10.5194/amt-6-599-2013
ISSN: 1867-1381
eISSN: 1867-8548
Links: http://www.atmos-meas-tech.net/6/599/2013/amt-6-599-2013.html
http://hdl.handle.net/2381/28313
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013 The authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Physics and Astronomy

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