Tree-based Genetic Programming Approach to Infer Microphysical Parameters of the DSDs from the Polarization Diversity Measurements

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Islam2012,
  author =       "Tanvir Islam and Miguel A. Rico-Ramirez and 
                 Dawei Han",
  title =        "Tree-based Genetic Programming Approach to Infer
                 Microphysical Parameters of the DSDs from the
                 Polarization Diversity Measurements",
  journal =      "Computer \& Geosciences",
  volume =       "48",
  pages =        "20--30",
  year =         "2012",
  ISSN =         "0098-3004",
  DOI =          "doi:10.1016/j.cageo.2012.05.028",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0098300412001847?v=s5",
  keywords =     "genetic algorithms, genetic programming, Drop size
                 distribution (DSD) retrievals, Polarimetric radar, Dual
                 polarisation radar, Disdrometer raindrop spectra,
                 Precipitation microphysics, Shape and size parameters",
  abstract =     "The use of polarisation diversity measurements to
                 infer the microphysical parametrisation has remained an
                 active goal in the radar remote sensing community. In
                 view of this, the tree-based genetic programming (GP)
                 as a novel approach has been presented for retrieving
                 the governing microphysical parameters of a normalised
                 gamma drop size distribution model- D0 (median drop
                 diameter), Nw (concentration parameter), and ?\mu
                 (shape parameter) from the polarisation diversity
                 measurements. A large number of raindrop spectra
                 acquired from a Joss-Waldvogel disdrometer has been
                 used to develop the GP models, relating the
                 microphysical parameters to the T-matrix scattering
                 simulated polarization measurements. Several functional
                 formulations retrieving the microphysical parameters-D0
                 [f(ZDR), f(ZH, ZDR)], log10Nw [f(ZH, D0), f(ZH, ZDR,
                 D0), and ?\mu f(ZDR, D0), f(ZH, ZDR, D0)], where ZH
                 represents reflectivity and ZDR represents differential
                 reflectivity, have been investigated, and applied to a
                 S-band polarimetric radar (CAMRA) for evaluation. It
                 has been shown that the GP model retrieved
                 microphysical parameters from the polarisation
                 measurements are in a reasonable agreement with
                 disdrometer observations. The calculated root mean
                 squared errors (RMSE) are noted as 0.23-0.25 mm for D0,
                 0.74-0.85 for log10Nw (Nw in mm-1 mm-3), and 3.30-3.36
                 for ?. The GP model based microphysical retrieval
                 procedure is further compared with a physically based
                 constrained gamma model for D0 and log10Nw estimates.
                 The close agreement of the retrieval results between
                 the GP and the constrained gamma models support the
                 suitability of the proposed genetic programming
                 approach to infer microphysical parametrisation.",
}

Genetic Programming entries for Tanvir Islam Miguel A Rico-Ramirez Dawei Han

Citations