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An Inverse Mapping Table Method for Raindrop Size Distribution Parameters Retrieval Using X-band Dual-Polarization Radar Observations | IEEE Journals & Magazine | IEEE Xplore

An Inverse Mapping Table Method for Raindrop Size Distribution Parameters Retrieval Using X-band Dual-Polarization Radar Observations


Abstract:

An inverse mapping table (IMT) method is proposed in this article to retrieve the raindrop size distribution (RSD) parameters from X-band polarimetric weather radar data....Show More

Abstract:

An inverse mapping table (IMT) method is proposed in this article to retrieve the raindrop size distribution (RSD) parameters from X-band polarimetric weather radar data. In the IMT method, a forward mapping database from three parameters of a gamma-type RSD to polarimetric radar variables is first built based on the scattering simulations under ideal atmospheric conditions, and then an inverse mapping database is derived. In particular, given a fixed shape parameter (μ) of RSD, the intersection of horizontal reflectivity (ZH) and differential reflectivity (ZDR) contour lines is first obtained in the domain of total number concentration (NT) and median volume diameter (MVD) D0; and the inverse mapping relationship between ZH and ZDR to NT and D0 at a fixed μ value is derived to form a single layer of IMT. Then, the monotonic relationship between μ and the specific differential propagation phase shift (KDP) or backscatter differential phase (δC) can aid in determining μ and a single layer of IMT. Thus, the inverse mapping database from polarimetric observations to the three gamma-type RSD parameters μ, NT, and D0 can be established. Demonstration studies during a convective rainfall event and a large-scale rainfall event which occurred in northeastern China are carried out to examine the performance of this IMT method compared to a constrained-gamma (C-G) method that uses empirical relations between RSD parameters. The results show that the IMT method has a better performance in the convective case and similar performance in the large-scale continuous rainfall case.
Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 58, Issue: 11, November 2020)
Page(s): 7611 - 7632
Date of Publication: 10 April 2020

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