The Rain Profiling Algorithm Applied to Polarimetric Weather Radar

By Jacques Testud, E. Le Bouar, E. Obligis, M. Ali-Mehenni. 2000

513 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/29c70e4fca9ee1002690b7c5cc98a4d8297394cf

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Citations in the corpus

The Concept of “Normalized” Distribution to Describe Raindrop Spectra: A Tool for Cloud Physics and Cloud Remote Sensing (2001, methodology): “The concept of normalization of the particle size distribution developed in this paper is similar to those of Sekhon and Srivastava (1971), Willis (1984), Sempere Torres et al. (1998), Dou et al. (1999), Testud et al. (2000), and Uijlenhoet (1999).”
A Methodology for Estimating the Parameters of a Gamma Raindrop Size Distribution Model from Polarimetric Radar Data: Application to a Squall-Line Event from the TRMM/Brazil Campaign (2002, methodology): “Techniques to correct for attenuation are now available (Testud et al. 2000; Bringi et al. 2001b; Smyth and Illingworth 1998).”
Influence of the zero-rainfall on the assessment of the multifractal parameters (2012, unknown): “5 mm/h [21].”
Weather radar and hydrology (2009, methodology): “In the recent years, a breakthrough has been achieved in radar QPE at X-band through the use of polarimetry and range-profiling algorithms [70,2,40,51,53].”
Evaluation of a New Polarimetrically Based Z–R Relation (2004, methodology): “The Z h data are corrected for rain attenuation using Testud et al. (2000) adapted for S-band, while Z dr is corrected for differential attenuation using a self-consistent, constraint-based algorithm described by Bringi et al. (2001b).”
Quantification of Path-Integrated Attenuation for X- and C-Band Weather Radar Systems Operating in Mediterranean Heavy Rainfall (2000, background): “As an alternative to standard schemes based on reflectivity data only, polarimetric techniques offer interesting perspectives for improved rain estimation at attenuating wavelengths (e.g., Sauvageot 1996; Testud et al. 2000).”
Estimation of Raindrop Size Distribution Parameters from Polarimetric Radar Measurements (2002, methodology): “In order to compare the pdf of D [or, f D ( )] in the presence of varying water contents, the concept of scaling the DSD has been used by several authors (Sekhon and Srivastava 1971; Willis 1984; Testud et al. 2000).”
The relationship between lightning activity and ice fluxes in thunderstorms (2008, methodology): “Thus the reflectivity and the differential reflectivity fields measured by ARMOR were corrected for attenuation and differential attenuation, respectively, using a self-consistent constrained ‘‘ZPHI’’ approach [Testud et al., 2000; Bringi et al., 2001; Petersen et al., 2005b].”
A Variational Scheme for Retrieving Rainfall Rate and Hail Reflectivity Fraction from Polarization Radar (2007, methodology): “Attenuation correction is possible by making use of φdp (e.g. Testud et al. 2000), or differential attenuation leading to negative Zdr at the far side of heavy rain (Smyth and Illingworth 1998a).”
Correction of Radar Reflectivity and Differential Reflectivity for Rain Attenuation at X Band. Part I: Theoretical and Empirical Basis (2005, methodology): “This concept, based on a simple linear relation, has been adapted and modified for correction of attenuation at S and C bands by many researchers (Ryzhkov and Zrnic 1995; Smyth and Illingworth 1998; Carey et al. 2000; Testud et al. 2000; Bringi et al. 2001).”
Comparison of Advanced Radar Polarimetric Techniques for Operational Attenuation Correction at C Band (2008, methodology): “In Testud et al. (2000), the authors assumed a nonlinear relationship between dp and hh, with the multiplicative factor being related to the intercept parameter Nw of an assumed gamma drop size distribution.”
Long‐term monitoring of French polarimetric radar data quality and evaluation of several polarimetric quantitative precipitation estimators in ideal conditions for operational implementation at C‐band (2012, methodology): “The ZPHI algorithm from Testud et al. (2000) retrieves Nw over a segment [r0; r1] by using the profiles of dp and (attenuated) Zh over [r0; r1].”
Rainfall spatial variability observed by X-band weather radar and its implication for the accuracy of rainfall estimates (2009, methodology): “The first part is dedicated to the algorithm ZPHI [14,1] used to extract the rainfall from the polarimetric radar measurements.”