2 November 2017 Modified retrieval algorithm for three types of precipitation distribution using x-band synthetic aperture radar
Author Affiliations +
Abstract
The forward-scattering model is introduced to describe the response of normalized radar cross section (NRCS) of precipitation with synthetic aperture radar (SAR). Since the distribution of near-surface rainfall is related to the rate of near-surface rainfall and horizontal distribution factor, a retrieval algorithm called modified regression empirical and model-oriented statistical (M–M) based on the volterra integration theory is proposed. Compared with the model-oriented statistical and volterra integration (MOSVI) algorithm, the biggest difference is that the M–M algorithm is based on the modified regression empirical algorithm rather than the linear regression formula to retrieve the value of near-surface rainfall rate. Half of the empirical parameters are reduced in the weighted integral work and a smaller average relative error is received while the rainfall rate is less than 100    mm / h . Therefore, the algorithm proposed in this paper can obtain high-precision rainfall information.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yanan Xie, Yanan Xie, Mingliang Zhou, Mingliang Zhou, Dengke Pan, Dengke Pan, } "Modified retrieval algorithm for three types of precipitation distribution using x-band synthetic aperture radar," Journal of Applied Remote Sensing 11(4), 046011 (2 November 2017). https://doi.org/10.1117/1.JRS.11.046011 . Submission: Received: 16 July 2017; Accepted: 12 October 2017
Received: 16 July 2017; Accepted: 12 October 2017; Published: 2 November 2017
JOURNAL ARTICLE
13 PAGES


SHARE
Back to Top