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| Titel |
Maximization of information content extracted from GOSAT thermal infrared measurements on δHDO in the atmosphere using ground based WS-CRDS and FTIR measurements together with ECHAM5-wiso simulations |
| VerfasserIn |
Konstantin Gribanov, Jean Jouzel, Vladislav Bastrikov, Jean-Louis Bonne, François-Marie Bréon, Martin Butzin, Olivier Cattani, Marina Kolyasnikova, Valérie Masson-Delmotte, Nikita Rokotyan, Martin Werner, Vyacheslav Zakharov |
| Konferenz |
EGU General Assembly 2013
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 15 (2013) |
| Datensatznummer |
250077893
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| Zusammenfassung |
| Water stable isotopologues provide integrated tracers of the atmospheric water cycle, affected
by changes in air mass origin, non-convective and convective processes and continental
recycling. In spite of the presence of distinct spectral features of HDO molecule in
TANSO-FTS/GOSAT thermal infrared spectra, the retrieval of vertical profiles of δHDO
value in the atmosphere remains very difficult task. It is caused, first, by the lack of
sufficiently representative set of simultaneously and directly measured vertical profiles
of HDO and H216O, secondly, by high variability of the concentration of main
water isotopologue in the atmosphere, and, finally, by low signal to noise ratio for
northern latitudes of Western Siberia (target region of the study). In this study, in
situ WS-CRDS measurements (Picarro L2130-i), FTIR measurements (Bruker
Optics IFS125M) of columnar values, and model simulations (ECHAM5-wiso
in nudged mode) were applied for obtaining the extra constraints in the δHDO
retrieval from GOSAT data. Adjustable parameters of retrieval algorithm were used for
maximization of information content on δHDO value in GOSAT thermal infrared
measurements. The retrieval of δHDO for Western Siberia and intercomparison
of retrieved, measured, and simulated data are represented for several months of
2012.
This research is supported by the grant of Ministry of Education and Science of Russian
Federation under the contract No. 11.G34.31.0064. |
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