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Dive into the research topics where Gwo-Jong Huang is active.

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Featured researches published by Gwo-Jong Huang.


Journal of Atmospheric and Oceanic Technology | 2002

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

V. N. Bringi; Gwo-Jong Huang; V. Chandrasekar; E. Gorgucci

Abstract A methodology is proposed for estimating the parameters of a gamma raindrop size distribution model from radar measurements of Zh, Zdr, and Kdp at S band. Previously developed algorithms by Gorgucci et al. are extended to cover low rain-rate events where both Zdr and Kdp are noisy. Polarimetric data from the S-band Dual-Polarization Doppler Radar (S-Pol) during the Tropical Rainfall Measuring Mission (TRMM)/Brazil campaign are analyzed; specifically, the gamma parameters are retrieved for samples of convective and trailing stratiform rain during the 15 February 1999 squall-line event. Histograms of Nw and Do are retrieved from radar for each rain type and compared with related statistics reported in the literature. The functional behavior of Nw and Do versus rain rate retrieved from radar is compared against samples of 2D-video and RD-69 disdrometer data obtained during the campaign. The time variation of Nw, Do, and μ averaged over a 5 km × 5 km area (within which a network of gauges and a profi...


Journal of Atmospheric and Oceanic Technology | 2007

Drop Shapes, Model Comparisons, and Calculations of Polarimetric Radar Parameters in Rain

Merhala Thurai; Gwo-Jong Huang; V. N. Bringi; W. L. Randeu; Michael Schönhuber

Abstract Drop shapes derived from a previously conducted artificial rain experiment using a two-dimensional video disdrometer (2DVD) are presented. The experiment involved drops falling over a distance of 80 m to achieve their terminal velocities as well as steady-state oscillations. The previous study analyzed the measured axis ratios (i.e., ratio of maximum vertical to maximum horizontal chord) as a function of equivolumetric spherical drop diameter (Deq) for over 115 000 drops ranging from 1.5 to 9 mm. In this paper, the actual contoured shapes of the drops are reported, taking into account the finite quantization limits of the instrument. The shapes were derived from the fast line-scanning cameras of the 2DVD. The drops were categorized into Deq intervals of 0.25-mm width and the smoothed contours for each drop category were superimposed on each other to obtain their most probable shapes and their variations due to drop oscillations. The most probable shapes show deviation from oblate spheroids for De...


Journal of Atmospheric and Oceanic Technology | 2010

A Methodology to Derive Radar Reflectivity–Liquid Equivalent Snow Rate Relations Using C-Band Radar and a 2D Video Disdrometer

Gwo-Jong Huang; V. N. Bringi; Robert Cifelli; David Hudak; W. A. Petersen

Abstract The objective of this work is to derive equivalent radar reflectivity factor–liquid equivalent snow rate (Ze–SR) power-law relations for snowfall using the C-band King City operational weather radar and a 2D video disdrometer (2DVD). The 2DVD provides two orthogonal views of each snow particle that falls through its 10 cm × 10 cm virtual sensor area. The “size” parameter used here for describing the size distribution is based on the “apparent” volume computed from the two images, and an equivolume spherical diameter Dapp is defined. The determination of fall speed is based on matching two images corresponding to the same particle as it falls through two light planes separated by a precalibrated separation distance. A new “rematching” algorithm was developed to improve the quality of the fall speed versus Dapp as compared with the original matching algorithm provided by the manufacturer. The snow density is parameterized in the conventional power-law form , where α and β are assumed to be variable...


Journal of Atmospheric and Oceanic Technology | 2008

Orientation Angle Distributions of Drops after an 80-m Fall Using a 2D Video Disdrometer

Gwo-Jong Huang; V. N. Bringi; M. Thurai

Abstract This note reports on the use of a 2D video disdrometer to estimate the orientation of drops (>2 mm) that were generated artificially and allowed to fall 80 m from a bridge with no obstruction and under calm conditions. This experimental setup enabled a large number of drops to be generated, up to 10 mm in horizontal dimension. The distribution of the canting angles for all drops >2 mm was found to be nearly symmetric about 0° with standard deviation between 7° and 8°. From the canting angle distributions derived from the two orthogonal camera view planes, the distributions of the polar (θ) and azimuth (ϕ) angles were deduced; these two angles describe the 2D orientation of the symmetry axis. The azimuthal angle distribution was found to be nearly uniform in the range (0, 2π), whereas the distribution of pΩ(θ) = p(θ) sinθ was similar in shape to a special form of the Fisher distribution that is valid for describing the statistics on a spherical surface. The standard deviation of pΩ(θ) showed that ...


Journal of Atmospheric and Oceanic Technology | 2001

An Areal Rainfall Estimator Using Differential Propagation Phase: Evaluation Using a C-Band Radar and a Dense Gauge Network in the Tropics

V. N. Bringi; Gwo-Jong Huang; V. Chandrasekar; T. D. Keenan

Abstract An areal rainfall estimator based on differential propagation phase is proposed and evaluated using the Bureau of Meteorology Research Centre (BMRC) C-POL radar and a dense gauge network located near Darwin, Northern Territory, Australia. Twelve storm events during the summer rainy season (December 1998–March 1999) are analyzed and radar–gauge comparisons are evaluated in terms of normalized error and normalized bias. The areal rainfall algorithm proposed herein results in normalized error of 14% and normalized bias of 5.6% for storm total accumulation over an area of around 100 km2. Both radar measurement error and gauge sampling error are minimized substantially in the areal accumulation comparisons. The high accuracy of the radar-based method appears to validate the physical assumptions about the rain model used in the algorithm, primarily a gamma form of the drop size distribution model, an axis ratio model that accounts for transverse oscillations for D ≤ 4 mm and equilibrium shapes for D > ...


Bulletin of the American Meteorological Society | 2015

Global Precipitation Measurement Cold Season Precipitation Experiment (GCPEx): For Measurement Sake Let it Snow

Gail Skofronick-Jackson; David Hudak; Walter A. Petersen; Stephen W. Nesbitt; V. Chandrasekar; Stephen L. Durden; Kirstin J. Gleicher; Gwo-Jong Huang; Paul Joe; Pavlos Kollias; Kimberly A. Reed; Mathew R. Schwaller; Ronald E. Stewart; Simone Tanelli; Ali Tokay; James R. Wang; Mengistu Wolde

AbstractAs a component of Earth’s hydrologic cycle, and especially at higher latitudes, falling snow creates snowpack accumulation that in turn provides a large proportion of the freshwater resources required by many communities throughout the world. To assess the relationships between remotely sensed snow measurements with in situ measurements, a winter field project, termed the Global Precipitation Measurement (GPM) Cold Season Precipitation Experiment (GCPEx), was carried out in the winter of 2011/12 in Ontario, Canada. Its goal was to provide information on the precipitation microphysics and processes associated with cold season precipitation to support GPM snowfall retrieval algorithms that make use of a dual-frequency precipitation radar and a passive microwave imager on board the GPM core satellite and radiometers on constellation member satellites. Multiparameter methods are required to be able to relate changes in the microphysical character of the snow to measureable parameters from which precip...


Journal of Atmospheric and Oceanic Technology | 2017

Visual Hull Method for Realistic 3D Particle Shape Reconstruction Based on High-Resolution Photographs of Snowflakes in Free Fall from Multiple Views

C. Kleinkort; Gwo-Jong Huang; V. N. Bringi; Branislav M. Notaros

AbstractA visual hull method for reconstruction of realistic 3D shapes of snowflakes and other hydrometeors based on high-resolution photographs of particles in free fall from multiple views captured by a multiangle snowflake camera (MASC), or another similar instrument, is proposed and presented. The visual hull of an object is the maximal domain that gives the same silhouettes as the object from a certain set of viewpoints. From the measured fall speed and the particle shape reconstruction, the particle density and dielectric constant are estimated. This is the first time 3D shape reconstructions based on multiple high-resolution photographs of real (measured) snowflakes are performed. The results are clearly much better than any similar data in the literature. They demonstrate—in experiments involved in real snowstorm observations and those with simulated and fake 3D-printed snowflakes—sufficient silhouette information from the five cameras of the expanded MASC system and excellent performance of the i...


international symposium on antennas and propagation | 2015

Measurement and characterization of winter precipitation at MASCRAD Snow Field Site

Branislav M. Notaros; V. N. Bringi; Cameron Kleinkort; Gwo-Jong Huang; Elene Chobanyan; Merhala Thurai; Olivera Notaros; Ana B. Manic; Patrick C. Kennedy; Milan M. Ilic; Andrew J. Newman; John Hubbert; Timothy Lim; William O. J. Brown

We present our ongoing studies of winter precipitation using multi-angle snowflake camera (MASC), 2D-video disdrometer, computational electromagnetic scattering methods, and state-of-the-art polarimetric radars. The newly built and established MASCRAD (MASC + Radar) Snow Field Site is one of the currently best instrumented and most sophisticated field sites for winter precipitation measurements and analysis in the nation. We present and discuss MASCRAD measurements for the snow event on Nov 15, 2014 in La Salle, Colorado.


international symposium on antennas and propagation | 2015

Visual hull method based shape reconstruction of snowflakes from MASC photographs

Cameron Kleinkort; Gwo-Jong Huang; Elene Chobanyan; Ana B. Manic; Milan M. Ilic; Ali Pezeshki; V. N. Bringi; Branislav M. Notaros

We present utilization of the visual hull geometrical method for reconstruction of 3D shapes of snowflakes and ice particles based on high-resolution photographs of an object from multiple angles and the corresponding 2D silhouettes, for the purpose of further scattering analysis. The images are obtained by a multi-angle snowflake camera (MASC). Preliminary results appear to be much more accurate than any other available snowflake shape reconstruction examples, and are indicative of a great potential of the proposed approach.


international symposium on antennas and propagation | 2017

MASCRAD events: Observations and analyses of cases with contrasting hydrometeor forms

Branislav M. Notaros; V. N. Bringi; Merhala Thurai; Patrick C. Kennedy; Gwo-Jong Huang; GyuWon Lee; Wonbae Bang; Kwonil Kim; Andrew J. Newman

We present observations and analyses for several cases with contrasting hydrometeor forms, recorded by several ground instruments at the MASCRAD (MASC + Radar) snow field site, radiosondes, and polarimetric radars. The instrumentation includes the multi-angle snowflake camera (MASC) and 2D-video disdrometer. The study focuses on microphysical characteristics analysis and is aimed at improving the radar-based winter-precipitation estimation.

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Dive into the Gwo-Jong Huang's collaboration.

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V. N. Bringi

Colorado State University

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Merhala Thurai

Colorado State University

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Andrew J. Newman

National Center for Atmospheric Research

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Elene Chobanyan

Colorado State University

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GyuWon Lee

Kyungpook National University

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Ana B. Manic

Colorado State University

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Sanja B. Manic

Colorado State University

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