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| Titel |
HDO/H2O ratio retrievals from GOSAT |
| VerfasserIn |
H. Boesch, N. M. Deutscher, T. Warneke, K. Byckling, A. J. Cogan, D. W. T. Griffith, J. Notholt, R. J. Parker, Z. Wang |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1867-1381
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| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 3 ; Nr. 6, no. 3 (2013-03-07), S.599-612 |
| Datensatznummer |
250017834
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| Publikation (Nr.) |
 copernicus.org/amt-6-599-2013.pdf |
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| Zusammenfassung |
| We report a new shortwave infrared (SWIR) retrieval of the column-averaged
HDO/H2O 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. |
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