Gang Hong
Organization:
Texas A&M University
Email:
Business Address:
Department of Atmospheric Sciences
College Station, TX 77843
United StatesFirst Author Publications:
- Hong, G., and P. Minnis (2015), Effects of spherical inclusions on scattering properties of small ice cloud particles, J. Geophys. Res., 120, 2951-2969, doi:10.1002/2014JD022494.
- Hong, G., et al. (2012), Estimating effective particle size of tropical deep convective clouds with a look-up table method using satellite measurements of brightness temperature differences, J. Geophys. Res., 117, D06207, doi:10.1029/2011JD016652.
- Hong, G., et al. (2010), Detecting opaque and nonopaque tropical upper tropospheric ice clouds: A trispectral technique based on the MODIS 8–12 micron window bands, J. Geophys. Res., 115, D20214, doi:10.1029/2010JD014004.
- Hong, G., et al. (2009), Parameterization of Shortwave and Longwave Radiative Properties of Ice Clouds for Use in Climate Models, J. Climate, 22, 6287-6312, doi:10.1175/2009JCLI2844.1.
- Hong, G., et al. (2008), Relationship between ice water content and equivalent radar reflectivity for clouds consisting of nonspherical ice particles, J. Geophys. Res., 113, D20205, doi:10.1029/2008JD009890.
- Hong, G., et al. (2008), Optical properties of ice particles in young contrails, J. Quant. Spectrosc. Radiat. Transfer, 109, 2635-2647, doi:10.1016/j.jqsrt.2008.06.005.
- Hong, G., et al. (2008), Do contrails significantly reduce daily temperature range?, Geophys. Res. Lett., 35, L23815, doi:10.1029/2008GL036108.
- Hong, G., et al. (2007), High cloud properties from three years of MODIS Terra and Aqua collection 4 data over the tropics, J. Appl. Meteor. Climat., 46, 1840-1856, doi:10.1175/2007JAMC1583.1.
Co-Authored Publications:
- Sun-Mack, S., et al. (2024), Identification of ice-over-water multilayer clouds using multispectral satellite data in an artificial neural network, Atmos. Meas. Tech., 17, 3323-3346, doi:10.5194/amt-17-3323-2024.
- Minnis, P., et al. (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes, IEEE Trans. Geosci. Remote Sens., 59, 2744-2780, doi:10.1109/TGRS.2020.3008866.
- Minnis, P., et al. (2019), Advances in neural network detection and retrieval of multilayer clouds for CERES using multispectral satellite data, Proc. SPIE Remote Sens. Clouds and Atmospheric., XXIV, 1-12, doi:10.1117/12.2532931.
- Trepte, Q. Z., et al. (2019), Global Cloud Detection for CERES Edition 4 Using Terra and Aqua MODIS Data, IEEE Trans. Geosci. Remote Sens., 57, 9410-9449, doi:10.1109/TGRS.2019.2926620.
- Loeb, N., et al. (2018), Impact of Ice Cloud Microphysics on Satellite Cloud Retrievals and Broadband Flux Radiative Transfer Model Calculations, J. Climate, 31, 1851-1864, doi:10.1175/JCLI-D-17-0426.1.
- Minnis, P., et al. (2012), Simulations of Infrared Radiances over a Deep Convective Cloud System Observed during TC4: Potential for Enhancing Nocturnal Ice Cloud Retrievals, Remote Sens., 4, 3022-3054, doi:10.3390/rs4103022.
- Yang, P., et al. (2010), Contrails And Induced Cirrus: Optics and Radiation, Bull. Am. Meteorol. Soc., 473-478.
- Yang, P., et al. (2008), Uncertainties associated with the surface texture of ice particles in satellite-based retrieval of cirrus clouds: Part I. Single-scattering properties of ice crystals with surface roughness, IEEE Trans. Geosci. Remote Sens., 46, 1940-1947, doi:10.1109/TGRS.2008.916471.
- Yang, P., et al. (2008), Uncertainties associated with the surface texture of ice particles in satellite-based retrieval of cirrus clouds: Part II. Effect of particle surface roughness on retrieved cloud optical thickness and effective particle size, IEEE Trans. Geosci. Remote Sens., 46, 1948-1957, doi:10.1109/TGRS.2008.916472.
- Yang, P., et al. (2007), Differences Between Collection 4 and 5 MODIS Ice Cloud Optical/Microphysical Products and Their Impact on Radiative Forcing Simulations, IEEE Trans. Geosci. Remote Sens., 45, 2886-2899, doi:10.1109/TGRS.2007.898276.