4.6 Article

Using S-band dual polarized radar for convective/stratiform rain indexing and the correspondence with AMSR-E GSFC profiling algorithm

Journal

ADVANCES IN SPACE RESEARCH
Volume 50, Issue 10, Pages 1383-1390

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.asr.2012.07.011

Keywords

Polarimetric radar; AMSR-E GPROF rain type; Clouds and precipitation types; Separation and classification; Drop size distributions (DSD); Passive microwave sensors

Funding

  1. NERC [cfaarr010001] Funding Source: UKRI
  2. Natural Environment Research Council [cfaarr010001] Funding Source: researchfish

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The separation of rain types in convective and stratiform regimes has long been a goal in microwave remote sensing of precipitation research. In this essence, a dual polarized radar based indexing scheme that provides information on convective and stratiform (C/S) rain regimes has been presented in correspondence with advanced microwave scanning radiometer earth observing system (AMSR-E) GSFC profiling algorithm estimate of convective rain percentage. The dual polarized radar based C/S indexing scheme first retrieves the normalized gamma drop size distribution parameters, median volume drop diameter (D-0) and concentration parameter (N-w), from dual polarized radar measurements Z(H) and Z(DR), representing reflectivity and differential reflectivity respectively, by means of the genetic programming approach. Next, the C/S rain index is calculated based on the formulation of an empirical relation in N-w-D-0 domain. The scheme has been inspected and applied on measurements from the S-band Chilbolton dual polarized radar. A considerable number of coincident cases from the radar and the AMSR-E observations are investigated. It has been revealed that the dual polarized radar based C/S rain indexing is in a similar pattern with the AMSR-E GSFC profiling algorithm estimate of convective rain percentage. Generally, as C/S rain index value increases, which signifies a stratiform to convective trend, the AMSR-E convective rain percentage also increases. (C) 2012 COSPAR. Published by Elsevier Ltd. All rights reserved.

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