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| Titel |
Non-Gaussian Bayesian retrieval of tropical upper tropospheric cloud ice and water vapour from Odin-SMR measurements |
| VerfasserIn |
B. Rydberg, P. Eriksson, S. A. Buehler, D. P. Murtagh |
| 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 ; 2, no. 2 ; Nr. 2, no. 2 (2009-10-28), S.621-637 |
| Datensatznummer |
250000573
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| Publikation (Nr.) |
 copernicus.org/amt-2-621-2009.pdf |
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| Zusammenfassung |
| Improved Odin-SMR retrievals of upper tropospheric water are
presented. The new retrieval algorithm retrieves humidity and cloud
ice mass simultaneously and takes into account of cloud
inhomogeneities. Both these aspects are introduced for
microwave limb sounding inversions for the first time.
A Bayesian methodology is applied allowing for a formally
correct treatment of non-unique retrieval problems
involving non-Gaussian statistics. Cloud structure
information from CloudSat is incorporated into the
retrieval algorithm. This removes a
major limitation of earlier inversion methods where uniform cloud layers
were assumed and caused a systematic retrieval error.
The core part of the retrieval technique is the generation of a
database that must closely represent real conditions.
Good agreement with Odin-SMR observations indicates that this requirement
is met. The retrieval precision is determined to be about 5–17% RHi and
65% for humidity and cloud ice mass, respectively. For both
quantities, the vertical resolution is about 5 km and the best
retrieval performance is found between 11 and 15 km. New data show a
significantly improved agreement with CloudSat cloud ice mass
retrievals, at the same time consistency with the Aura MLS humidity
results is maintained. The basics of the approach presented can
be applied for all passive cloud observations and should be of broad
interest. The results can also be taken as a demonstration of the
potential of down-looking sub-mm radiometry for global measurements
of cloud ice properties. |
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