 |
| Titel |
Cloud detection for MIPAS using singular vector decomposition |
| VerfasserIn |
J. Hurley, A. Dudhia, R. G. Grainger |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 2, no. 2 ; Nr. 2, no. 2 (2009-09-18), S.533-547 |
| Datensatznummer |
250000567
|
| Publikation (Nr.) |
 copernicus.org/amt-2-533-2009.pdf |
|
|
|
|
|
| Zusammenfassung |
Satellite-borne high-spectral-resolution limb sounders, such as the Michelson
Interferometer for Passive Atmospheric Sounding (MIPAS) onboard ENVISAT,
provide information on clouds, especially optically thin clouds, which have
been difficult to observe in the past. The aim of this work is to develop,
implement and test a reliable cloud detection method for infrared spectra
measured by MIPAS.
Current MIPAS cloud detection methods used operationally have been developed
to detect cloud effective filling more than 30% of the measurement
field-of-view (FOV), under geometric and optical considerations – and hence
are limited to detecting fairly thick cloud, or large physical extents of
thin cloud. In order to resolve thin clouds, a new detection method using
Singular Vector Decomposition (SVD) is formulated and tested. This new SVD
detection method has been applied to a year's worth of MIPAS data, and
qualitatively appears to be more sensitive to thin cloud than the current
operational method. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|