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Guifu Zhang
Researcher at University of Oklahoma
Publications - 214
Citations - 6722
Guifu Zhang is an academic researcher from University of Oklahoma. The author has contributed to research in topics: Radar & Phased array. The author has an hindex of 36, co-authored 207 publications receiving 5554 citations. Previous affiliations of Guifu Zhang include National Center for Atmospheric Research & Nanjing University.
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Experiments in Rainfall Estimation with a Polarimetric Radar in a Subtropical Environment
TL;DR: In this paper, a unique dataset consisting of high-resolution polarimetric radar measurements and dense rain gauge and disdrometer observations collected in east-central Florida during the summer of 1998 was examined.
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A method for estimating rain rate and drop size distribution from polarimetric radar measurements
TL;DR: The authors propose and demonstrate a method for retrieving DSD parameters for calculating rain rate and the characteristic particle size and shows improvement over the existing models and techniques because it can retrieve all three parameters of the gamma distribution.
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A Statistical and Physical Description of Hydrometeor Distributions in Colorado Snowstorms Using a Video Disdrometer
TL;DR: In this paper, a two-dimensional video disdrometer was used to determine the form of particle size distributions (PSDs) and search for useful interrelationships among the governing parameters of assumed distribution forms and environmental factors.
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Analysis of Video Disdrometer and Polarimetric Radar Data to Characterize Rain Microphysics in Oklahoma
TL;DR: In this paper, data from three 2D video disdrometers and an S-band polarimetric radar are used to characterize rain microphysics in Oklahoma and a method of sorting and averaging based on two parameters (SATP) is proposed.
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The Shape–Slope Relation in Observed Gamma Raindrop Size Distributions: Statistical Error or Useful Information?
TL;DR: In this article, the error propagation from moment estimators to rain DSD parameter estimators is studied, and the standard errors and correlation coefficient are derived through systematic error analysis using numerical simulations, and errors in estimated DSD parameters are quantified.