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| Titel |
Global-scale remote sensing of water isotopologues in the troposphere: representation of first-order isotope effects |
| VerfasserIn |
S. J. Sutanto, G. Hoffmann, R. A. Scheepmaker, J. Worden, S. Houweling, K. Yoshimura, I. Aben, T. Röckmann |
| 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 ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-03), S.999-1019 |
| Datensatznummer |
250116197
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| Publikation (Nr.) |
 copernicus.org/amt-8-999-2015.pdf |
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| Zusammenfassung |
| Over the last decade, global-scale data sets of atmospheric water vapor
isotopologues (HDO) have become available from different remote sensing
instruments. Due to the observational geometry and the spectral ranges that
are used, few satellites sample water isotopologues in the lower troposphere,
where the bulk of hydrological processes within the atmosphere take place.
Here, we compare three satellite HDO data sets, two from the Tropospheric
Emission Spectrometer (TES retrieval version 4 and 5) and one from SCIAMACHY
(SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY), with
results from the atmospheric global circulation model ECHAM4 (European Centre
HAMburg 4). We examine a list of known isotopologue effects to qualitatively
benchmark the various observational data sets. TES version 5
(TESV5), TES version 4 (TESV4), SCIAMACHY, ECHAM,
and ECHAM convolved with averaging kernels of TES version 5
(ECHAMAK5) successfully reproduced a number of established
isotopologue effects such as the latitude effect, the amount effect, and the
continental effect. The improvement of TESV5 over
TESV4 is confirmed by the steeper latitudinal gradient at
higher latitudes in agreement with SCIAMACHY. Also the representation of
other features of the water isotopologue cycle, such as the seasonally varying
signal in the tropics due to the movement of the Intertropical Convergence
Zone (ITCZ), is improved in TESV5 and SCIAMACHY compared to
TESV4. A known humidity bias due to the cross correlation of
H2O and HDO measurements, which is of particular importance for
instruments with low sensitivity close to the surface, was analyzed by
applying either a humidity bias correction or a suitable a posteriori
analysis. We suggest that the qualitative and quantitative tests carried out
in this study could become benchmark tests for evaluation of future satellite
isotopologue data sets. |
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