DocumentCode
2497129
Title
Estimating RCS of the sea surface perturbed by rain for rainfall rate retrieval
Author
Capolino, F. ; Giuli, D. ; Facheris, L. ; Sottili, F.
Author_Institution
Dipartimento di Ingegneria Elettron., Florence Univ., Italy
Volume
1
fYear
1996
fDate
27-31 May 1996
Firstpage
13
Abstract
The problem of improving estimates of rainfall intensity over the sea surface through spaceborne rain radars is addressed. The backscattered signal is composed of volumetric contribution due to rainfall and of the sea surface contribution. When trying to estimate the NRCS of the sea surface, one of the major difficulties is that different scale of roughness of the sea surface should be accounted for in the same e.m. model: the larger due to wind and the smaller due to the raindrop splashes. While in the first case several models are available in the literature, in the second case only a few experimental results or theoretical studies are available. In this paper, a model which accounts for the additional roughness due to the effects of the raindrop splashes is analysed. Furthermore, an enhanced algorithm is proposed for retrieving rainfall rate profiles, which utilises the relationship between sea NRCS and rainfall rate
Keywords
atmospheric electromagnetic wave propagation; atmospheric techniques; backscatter; electromagnetic wave scattering; meteorological radar; microwave propagation; radar cross-sections; radar theory; rain; remote sensing by radar; spaceborne radar; tropospheric electromagnetic wave propagation; NRCS; RCS; backscatter; enhanced algorithm; marine atmosphere; measurement technique; meteorological radar; microwave radar remote sensing; model; radar remote sensing; radar scattering; rain rate; raindrop splash; rainfall; rainfall rate retrieval; roughness; sea surface; spaceborne radar; volumetric contribution; Art; Backscatter; Corrugated surfaces; Rain; Random processes; Rough surfaces; Sea surface; Surface roughness; Surface waves; Wind forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location
Lincoln, NE
Print_ISBN
0-7803-3068-4
Type
conf
DOI
10.1109/IGARSS.1996.516229
Filename
516229
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