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:1.8081
- @Article{Islam2012,
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author = "Tanvir Islam and Miguel A. Rico-Ramirez and
Dawei Han",
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title = "Tree-based Genetic Programming Approach to Infer
Microphysical Parameters of the DSDs from the
Polarization Diversity Measurements",
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journal = "Computer \& Geosciences",
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volume = "48",
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pages = "20--30",
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year = "2012",
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ISSN = "0098-3004",
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DOI = "doi:10.1016/j.cageo.2012.05.028",
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URL = "http://www.sciencedirect.com/science/article/pii/S0098300412001847?v=s5",
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keywords = "genetic algorithms, genetic programming, Drop size
distribution (DSD) retrievals, Polarimetric radar, Dual
polarisation radar, Disdrometer raindrop spectra,
Precipitation microphysics, Shape and size parameters",
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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