System Maintenance:
There may be intermittent impact on performance while updates are in progress. We apologize for the inconvenience.
By Topic

Rainfall profile retrieval through spaceborne rain radars utilising a sea surface NRCS model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Capolino, F. ; Dept. of Electron. Eng., Florence Univ., Italy ; Facheris, L. ; Giuli, D. ; Sottili, F.

Vertical rainfall profile retrieval over the sea surface, based on reflectivity data collected by spaceborne radars, can be improved through existing algorithms that exploit estimates of the power backscattered from that surface. However, prediction errors of the sea surface normalised radar cross-section (NRCS) may significantly affect the performance of such algorithms. This is the first point highlighted in the paper, referring to the Ku band. Consequently, the authors propose the utilisation of an electromagnetic model able to predict with acceptable accuracy the sea surface NRCS under the joint effect of wind- and rainfall-induced corrugation. The core of the paper is the description of an improved algorithm for rainfall rate vertical profile retrieval over the sea surface in the case of a single frequency, nadir-looking radars and the discussion of some simulation results

Published in:

Radar, Sonar and Navigation, IEE Proceedings -  (Volume:145 ,  Issue: 4 )