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| Titel |
Satellite radiometric remote sensing of rainfall fields: multi-sensor retrieval techniques at geostationary scale |
| VerfasserIn |
F. S. Marzano, D. Cimini, E. Coppola, M. Verdecchia, V. Levizzani, F. Tapiador, J. F. Turk |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: 6th Plinius Conference on Mediterranean Storms (2004) ; Nr. 2 (2005-07-22), S.267-272 |
| Datensatznummer |
250000331
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| Publikation (Nr.) |
 copernicus.org/adgeo-2-267-2005.pdf |
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| Zusammenfassung |
| The Microwave Infrared Combined Rainfall Algorithm
(MICRA) consists in a statistical integration method using the satellite
microwave-based rain-rate estimates, assumed to be accurate enough, to
calibrate spaceborne infrared measurements on limited sub-regions and time
windows. Rainfall retrieval is pursued at the space-time scale of typical
geostationary observations, that is at a spatial resolution of few
kilometers and a repetition period of few tens of minutes. The actual
implementation is explained, although the basic concepts of MICRA are very
general and the method is easy to be extended for considering innovative
statistical techniques or measurements from additional space-borne
platforms. In order to demonstrate the potentiality of MICRA, case studies
over central Italy are also discussed. Finally, preliminary results of MICRA
validation by ground based remote and in situ measurements are shown and a
comparison with a Neural Network (NN) based technique is briefly
illustrated. |
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