Patrick G. Stegmann
Texas A&M University
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Featured researches published by Patrick G. Stegmann.
IEEE Transactions on Geoscience and Remote Sensing | 2017
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/
Optics Express | 2017
Guanglang Xu; Patrick G. Stegmann; Sarah D. Brooks; Ping Yang
\text{m}^{2}
Hyperspectral Imaging and Sounding of the Environment | 2016
Ping Yang; Jiachen Ding; Patrick G. Stegmann; Bingqiang Sun; George W. Kattawar; Steven Platnick; Kerry Meyer; Chenxi Wang
. Thus, these frequencies are suitable for retrieving the microphysical properties.
Hyperspectral Imaging and Sounding of the Environment | 2016
Patrick G. Stegmann; Ping Yang
Fractal particle morphologies are employed to study the light scattering properties of soot-laden mineral dust aerosols. The applicability of these models is assessed in comparison with measurements and other numerical studies. To quantify the dust-soot mixing effects on the single and multiple scattering properties, a parameterization of the effective bulk properties is developed. Based on the parameterized bulk properties, polarized one-dimensional radiative transfer simulations are performed. The results indicate that small uncertainties in conjunction with soot contamination parameters may lead to large uncertainties in both forward and inverse modeling involving mineral dust contaminated with soot.
Fourier Transform Spectroscopy | 2016
Patrick G. Stegmann; Ping Yang
We develop a fast absorption calculation method used in the hyperspectral radiative transfer model for the PACE mission. The model will serve as a TOA radiance and reflectance simulator for remote sensing applications of PACE.
Journal of Aerosol Science | 2017
Patrick G. Stegmann; Ping Yang
The present work uses the Community Radiative Transfer Model to assess the influence of complex particle shapes, including snowflakes, in hyper-spectral calculations. Also considered will be the temperature-dependence of the refractive-index of ice.
Journal of Quantitative Spectroscopy & Radiative Transfer | 2018
Patrick G. Stegmann; Guanglin Tang; Ping Yang; Benjamin T. Johnson
The present work discusses the progress made in the development of a Discontinuous Galerkin (DG) solver in the time domain on a staggered grid specifically tailored towards the scattering of electromagnetic radiation by nonspherical particles.
98th American Meteorological Society Annual Meeting | 2018
Patrick G. Stegmann
97th American Meteorological Society Annual Meeting | 2017
Patrick G. Stegmann
97th American Meteorological Society Annual Meeting | 2017
Patrick G. Stegmann