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Dive into the research topics where Guanglin Tang is active.

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Featured researches published by Guanglin Tang.


Applied Optics | 2010

Application of a discontinuous Galerkin time domain method to simulation of optical properties of dielectric particles

Guanglin Tang; R. Lee Panetta; Ping Yang

We applied a discontinuous Galerkin time domain (DGTD) method, using a fourth-order Runga-Kutta time stepping of the Maxwell equations, to the simulation of the optical properties of dielectric particles in two-dimensional (2D) geometry. As examples of the numerical implementation of this method, the single-scattering properties of 2D circular and hexagonal particles are presented. In the case of circular particles, the scattering phase matrix was computed using the DGTD method and compared with the exact solution. For hexagonal particles, the DGTD method was used to compute single-scattering properties of randomly oriented 2D hexagonal ice crystals, and results were compared with those calculated using a geometric optics method. We consider both shortwave (visible) and longwave (infrared) cases, with particle size parameters 50 and 100. In the hexagonal case, scattering results are also presented as a function of both incident and scattering angles, revealing a structure apparently not reported before. Using the geometric optics method, we are able to interpret this structure in terms of contributions from varying numbers of internal reflections within the crystal.


IEEE Transactions on Geoscience and Remote Sensing | 2017

Effect of Particle Shape, Density, and Inhomogeneity on the Microwave Optical Properties of Graupel and Hailstones

Guanglin Tang; Ping Yang; Patrick G. Stegmann; R. Lee Panetta; Leung Tsang; Benjamin T. Johnson

Atmospheric ice particles can be rimed and contaminated (e.g., by soot attachments). Previous optical property calculations usually assume rimed particles such as graupel and hailstones to be homogeneous spheres with fixed densities. The relevant dielectric constants are estimated with the effective medium approximation (EMA), although such particles are predominately nonspherical, porous, and contain small interior grains. This paper assesses the effects of nonsphericity, density, and inhomogeneity of graupel and hailstones on their optical properties. The bicontinuous medium approximation (BMA) is employed to simulate the particle internal structure. Conical shapes are compared with spherical and spheroidal shapes to assess the effect of nonsphericity. At frequencies lower than 89 GHz, the optical properties are more sensitive to particle’s mass density than to overall particle shape, and the internal structure plays an insignificant role when the particle effective diameter (a quantity involving the particle size distribution) is smaller than approximately 10 mm, and the internal grain size is smaller than 0.2 mm. With a small grain size, the BMA phase function converges to the EMA phase function with an effective refractive index calculated with the Bruggeman formulation. Simulated top of atmosphere radiances at three microwave frequencies, 18.7, 36.5, and 89 GHz, are quite sensitive to ice particle effective diameter between 1 and 5 mm, ice fraction between 0.1 and 0.9, and ice water path between 1 and 5 kg/


Journal of Geophysical Research | 2017

Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP–IIR measurements†

Masanori Saito; Hironobu Iwabuchi; Ping Yang; Guanglin Tang; Michael D. King; Miho Sekiguchi

\text{m}^{2}


Journal of Climate | 2017

Impact of Ice Cloud Microphysics on Satellite Cloud Retrievals and Broadband Flux Radiative Transfer Model Calculations

Norman G. Loeb; Ping Yang; Fred G. Rose; Gang Hong; Sunny Sun-Mack; Patrick Minnis; Seiji Kato; Seung-Hee Ham; William L. Smith; Souichiro Hioki; Guanglin Tang

. Thus, these frequencies are suitable for retrieving the microphysical properties.


Journal of the Atmospheric Sciences | 2018

Improvement of the Simulation of Cloud Longwave Scattering in Broadband Radiative Transfer Models

Guanglin Tang; Ping Yang; George W. Kattawar; Xianglei Huang; Eli J. Mlawer; Bryan A. Baum; Michael D. King

Ice particle morphology and microphysical properties of cirrus clouds are essential for assessing radiative forcing associated with these clouds. We develop an optimal estimation-based algorithm to infer cirrus cloud optical thickness (COT), cloud effective radius (CER), plate fraction including quasi-horizontally oriented plates (HOPs) and the degree of surface roughness from the Cloud Aerosol Lidar with Orthogonal Polarization (CALIOP) and the Infrared Imaging Radiometer (IIR) on the CALIPSO platform. A simple but realistic ice particle model is used, and the relevant bulk optical properties are computed using state-of-the-art light-scattering computational capabilities. Rigorous estimation of uncertainties related to surface properties, atmospheric gases and cloud heterogeneity is performed. The results based on the present method show that COTs are quite consistent with other satellite products, and CERs essentially agree with the other counterparts. A one-month global analysis for April 2007, in which CALIPSO off-nadir angle is 0.3∘, shows that the HOP has significant temperature-dependence and is critical to the lidar ratio when cloud temperature is warmer than −40∘C. The lidar ratio is calculated from the bulk optical properties based on the inferred parameters, showing robust temperature dependence. The median lidar ratio of cirrus clouds is 27–31 sr over the globe.


Aerosol Science and Technology | 2018

Laboratory measurements of light scattering properties of kaolinite dust at 532 nm

Ron Li; Guanglin Tang; Jiachen Ding; Timothy Logan; Sarah D. Brooks; Don R. Collins; Ping Yang; George W. Kattawar

AbstractIce cloud particles exhibit a range of shapes and sizes affecting a cloud’s single-scattering properties. Because they cannot be inferred from passive visible/infrared imager measurements, assumptions about the bulk single-scattering properties of ice clouds are fundamental to satellite cloud retrievals and broadband radiative flux calculations. To examine the sensitivity to ice particle model assumptions, three sets of models are used in satellite imager retrievals of ice cloud fraction, thermodynamic phase, optical depth, effective height and particle size, and in top-of-atmosphere and surface broadband radiative flux calculations. The three ice particle models include smooth hexagonal ice columns (SMOOTH), roughened hexagonal ice columns, and a two-habit model (THM) comprised of an ensemble of hexagonal columns and 20-element aggregates. While the choice of ice particle model has a negligible impact on daytime cloud fraction and thermodynamic phase, the global mean ice cloud optical depth retri...


progress in electromagnetic research symposium | 2016

Constraints on the optical properties of ice Clouds and Airborne dust based on passive and active remote sensing observations

Ping Yang; Michael D. King; Guanglin Tang; Souichiro Hioki; Jiachen Ding

AbstractCloud longwave scattering is generally neglected in general circulation models (GCMs), but it plays a significant and highly uncertain role in the atmospheric energy budget as demonstrated in recent studies. To reduce the errors due to neglecting cloud longwave scattering, two new radiance adjustment methods are developed that retain the computational efficiency of broadband radiative transfer simulations. In particular, two existing scaling methods and the two new adjustment methods are implemented in the Rapid Radiative Transfer Model (RRTM). The results are then compared with those based on the Discrete Ordinates Radiative Transfer (DISORT) method that explicitly accounts for multiple scattering by clouds. The two scaling methods are shown to improve the accuracy of radiative transfer simulations for optically thin clouds but not effectively for optically thick clouds. However, the adjustment methods reduce computational errors over a wide range from optically thin to thick clouds. With the adj...


Journal of Quantitative Spectroscopy & Radiative Transfer | 2016

Sensitivity study of ice crystal optical properties in the 874 GHz submillimeter band

Guanglin Tang; Ping Yang; Dong L. Wu

ABSTRACT Light scattering by kaolinite dust samples at 532 nm is studied using a newly developed laboratory apparatus. During the experiments, dust samples are suspended in water, aerosolized by a nebulizer, and then injected into the scattering zone, with or without going through a diffusion drier, to generate either dried dust particles or water droplets with dust inclusions. The light source is a dual wavelength (532 and 1064 nm) diode-pumped solid state laser. Light scattered by an ensemble of particles is collected by a charge-coupled device (CCD) camera, which is mounted on the rotating arm of a stepper motor. The stepper motor rotates the CCD to cover the scattering angle range from 3° to 177°. Polarized scattering light is measured for the horizontally and vertically polarized incident light. The apparatus is calibrated, using pure water droplets as the scattering media. The response function with respect to the scattering angle is obtained by comparing the measurements with Lorenz–Mie calculations and then used in the later data analysis. Measurements show that the backward scattering features of the water droplets are smoothened due to their dust inclusions. Numerical simulations and measurements are extensively compared and discussed. It is found that the Lorenz–Mie theory is inadequate to reproduce the scattering phase functions of either dust particles or water droplets with dust inclusions. A nonspherical aggregate model is applied to simulate the scattering phase functions. The simulation is able to reproduce the overall scattering features; however, substantial discrepancies still exist due to uncertainties in particle shape and refractive index. Copyright


Journal of Quantitative Spectroscopy & Radiative Transfer | 2017

Effects of ice crystal surface roughness and air bubble inclusions on cirrus cloud radiative properties from remote sensing perspective

Guanglin Tang; R. Lee Panetta; Ping Yang; George W. Kattawar; Peng-Wang Zhai

Summary form only given. Ice clouds and dust aerosols are two important atmospheric constituents. To reliably assess the radiativeforcings and to accurately infer the microphysical and optical properties of these two atmospheric components, it is necessary to use appropriate optical properties of ice crystals and dust particles. In this talk we will discuss the use of remote sensing techniques based on observations by passive and active sensors to constrain the optical properties. Specifically, we will use the MODIS (Moderate Resolution Imaging Spectroradiometer), POLDER (POLarization and Directionality of the Earths Reflectances), MISR (Multi-angle Imaging SpectroRadiometer), and CALIOP/CALIPSO (Cloud-Aerosol Lidar with Orthogonal Polarization on the Cloud-Aerosol Lidar with Orthogonal Polarization) measurements in combination of theoretical light scattering simulations to identify the optimal single-scattering properties (extinction coefficient, single-scattering albedo, and phase matrix) of nonspherical/inhomogeneous ice crystals and dust particles.


Journal of Quantitative Spectroscopy & Radiative Transfer | 2016

Enhancement of the computational efficiency of the near-to-far field mapping in the finite-difference method and ray-by-ray method with the fast multi-pole plane wave expansion approach

Guanglin Tang; Ping Yang; Bingqiang Sun; R. Lee Panetta; George W. Kattawar

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Michael D. King

University of Colorado Boulder

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Miho Sekiguchi

Tokyo University of Marine Science and Technology

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Benjamin T. Johnson

National Oceanic and Atmospheric Administration

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