Faculty & Staff Directory
- Postdoctoral Research Fellow
George Mason University, Fairfax, VA Postdoctoral Training 2017 - current
University of Maryland, College Park, MD Civil & Environmental Engineering Ph.D., 2017
University of Maryland, College Park, MD Civil & Environmental Engineering M.S., 2014
Hohai University, Nanjing, China Hydropower Engineering B.S., 2012
 Jing Wang, Barton A. Forman, and Yuan Xue, “Exploration of synthetic terrestrial snow mass estimation via assimilation of AMSR-E brightness temperature spectral differences using the Catchment land surface model and support vector machine regression.” Water Resources Research, 2021(in press), doi: 10.1029/2020WR027490.
 Yiwen Mei, Viviana Maggioni, Paul R. Houser, Yuan Xue, and Tasnuva Rouf, “A Nonparametric Statistical Technique for Spatial Downscaling of Precipitation Over High Mountain Asia.” Water Resources Research, 2020, doi: 10.1029/2020WR027472.
 Xinxuan Zhang, Viviana Maggioni, Azbina Rahman, Paul R. Houser, Yuan Xue, Timothy Sauer, Sujay Kumar, and David Mocko, “The Influence of Assimilating Leaf Area Index in a Land Surface Model on Global Water Fluxes and Storages.”, Hydrology and Earth System Sciences, 2020, doi: 10.5194/hess-2019-504.
 Yuan Xue, Paul R. Houser, Viviana Maggioni, Yiwen Mei, Sujay V. Kumar, and Yeosang Yoon, “Assimilation of Satellite-based Snow Cover and Freeze/Thaw Observations over High Mountain Asia.”, Frontiers in Earth Sciences, 2019, doi: 10.3389/feart.2019.00115.
 Yuan Xue, Barton A. Forman, and Rolf H. Reichle, “Estimating snow mass in North America through assimilation of AMSR-E brightness temperature observations using the Catchment land surface model and support vector machines." Water Resources Research, 2018, doi: 10.1029/2017WR022219.
 Jing Tao, Rolf H. Reichle, Randal Koster, Barton A. Forman, and Yuan Xue, “Evaluation and enhancement of permafrost modeling with the NASA Catchment Land Surface Model." Journal of Advances in Modeling Earth Systems, 2017, doi: 10.1002/2017MS001019.
 Yuan Xue and Barton A. Forman, “Integration of satellite-based passive microwave brightness temperatures using support vector machines and an ensemble-based land data assimilation framework in order to improve snow estimation in forested regions." in 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 311-314, doi:10.1109/IGARSS.2017.8126958.
 Barton A. Forman and Yuan Xue, “Machine learning predictions of passive microwave brightness temperature over snow-covered land using the Special Sensor Microwave Imager (SSM/I).” Physical Geography, September. Taylor & Francis, 2017, doi:10.1080/02723646.2016.1236606.
 Yuan Xue and Barton A. Forman, “Atmospheric and forest decoupling of passive microwave brightness temperature observations over snow-covered terrain in North America.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, doi: 10.1109/JSTARS.2016.2614158.
 Yuan Xue and Barton A. Forman, “Comparison of passive microwave brightness temperature prediction sensitivities over snow-covered land in North America using machine learning algorithms and the Advanced Microwave Scanning Radiometer.” Remote Sensing of Environment, 2015, doi: 10.1016/j.rse.2015.09.009.
NASA Earth and Space Science Fellowship, 2015-2017; Best Doctoral Research Award, UMD, 2017; Future Faculty Fellow, UMD, 2015-2017; IEEE Geoscience and Remote Sensing Society Travel Grant, 2017; Best Masters Research Award, UMD, Dean's Fellowship, UMD, 2012-2014; National Scholarship, The Ministry of Education, PRC, 2008.