Modified retrieval algorithm for three types of precipitation distribution using x-band synthetic aperture radar

Yanan Xie; Mingliang Zhou; Dengke Pan

doi:10.1117/1.JRS.11.046011

2 November 2017 Modified retrieval algorithm for three types of precipitation distribution using x-band synthetic aperture radar

Yanan Xie, Mingliang Zhou, Dengke Pan

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 4, 046011 (November 2017). https://doi.org/10.1117/1.JRS.11.046011

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.

Citation Download Citation

Yanan Xie, Mingliang Zhou, and 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

Received: 16 July 2017; Accepted: 12 October 2017; Published: 2 November 2017

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