Jun Li

2016- Materials Science and Engineering University of Wisconsin, Madison, Madison, WI 
"Jun Li"
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Di D, Xue Y, Li J, et al. (2020) Effects of CO2 Changes on Hyperspectral Infrared Radiances and Its Implications on Atmospheric Temperature Profile Retrieval and Data Assimilation in NWP Remote Sensing. 12: 2401
Xue Y, Li J, Li Z, et al. (2020) Evaluation of the Diurnal Variation of Upper Tropospheric Humidity in Reanalysis Using Homogenized Observed Radiances from International Geostationary Weather Satellites Remote Sensing. 12: 1628
Zhu W, Zhu L, Li J, et al. (2020) Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data Remote Sensing. 12: 953
Jiang X, Li J, Li Z, et al. (2020) Evaluation of Environmental Moisture from NWP Models with Measurements from Advanced Geostationary Satellite Imager—A Case Study Remote Sensing. 12: 670
Li Z, Menzel WP, Jung J, et al. (2020) Improving the Understanding of CrIS Full Spectral Resolution Nonlocal Thermodynamic Equilibrium Radiances Using Spectral Correlation Journal of Geophysical Research. 125
Min M, Li J, Wang F, et al. (2020) Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms Remote Sensing of Environment. 239: 111616
Gao L, Chen L, Li C, et al. (2020) Evaluation and possible uncertainty source analysis of JAXA Himawari-8 aerosol optical depth product over China Atmospheric Research. 248: 105248
Bai W, Zhang P, Zhang W, et al. (2020) Jacobian matrix for near-infrared remote sensing based on vector radiative transfer model Science China-Earth Sciences. 63: 1353-1365
Min M, Bai C, Guo J, et al. (2019) Estimating Summertime Precipitation from Himawari-8 and Global Forecast System Based on Machine Learning Ieee Transactions On Geoscience and Remote Sensing. 57: 2557-2570
Gao L, Chen L, Li J, et al. (2019) A Long-Term Historical Aerosol Optical Depth Data Record (1982–2011) Over China From AVHRR Ieee Transactions On Geoscience and Remote Sensing. 57: 2467-2480
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