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| Titel |
Kalman filter physical retrieval of surface emissivity and temperature from geostationary infrared radiances |
| VerfasserIn |
G. Masiello, C. Serio, I. De Feis, M. Amoroso, S. Venafra, I. F. Trigo, P. Watts |
| 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. 12 ; Nr. 6, no. 12 (2013-12-20), S.3613-3634 |
| Datensatznummer |
250085140
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| Publikation (Nr.) |
 copernicus.org/amt-6-3613-2013.pdf |
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| Zusammenfassung |
| The high temporal resolution of data acquisition by geostationary satellites
and their capability to resolve the diurnal cycle allows for the retrieval of a valuable source of
information about geophysical parameters. In this paper, we implement
a Kalman filter approach to apply temporal constraints on the retrieval
of surface emissivity and temperature from radiance measurements made from
geostationary platforms. Although we consider a case study in which we apply a
strictly temporal constraint alone, the methodology will be presented in its
general four-dimensional, i.e., space-time, setting. The case study we consider
is the retrieval of emissivity and surface temperature from SEVIRI (Spinning
Enhanced Visible and Infrared Imager) observations over a target area
encompassing the Iberian Peninsula and northwestern Africa. The retrievals
are then compared with in situ data and other similar satellite products.
Our findings show that the Kalman filter strategy can simultaneously
retrieve surface emissivity and temperature with an accuracy of ± 0.005
and ± 0.2 K, respectively. |
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