Hua SuResearch Engineering/ Scientist Associate III, Department of Geological Sciences, Jackson School of Geosciences
My research interests include soil moisture-precipitation (S-P) feedback in observation and regional climate model, drought simulation and attribution in transitional zones, snow-climate interaction in cold region, and continental-scale snow data assimilation using Ensemble Kalman Filter (EnKF), land surface model (LSM) and satellite datasets.
Specifically, my research focuses on understanding and characterizing the thermodynamic and dynamical connections between land hydrological (e.g., the soil moisture or snow) anomalies and the atmospheric responses (e.g., precipitation), as well as the processes that can control or modulate these connections. An important application of the above study is to improve global (with coarser spatial resolution) or regional (with higher spatial resolution) climate model predication at various temporal scales by applying the gained knowledge about land-atmosphere interaction.
Areas of Expertise
Land-atmosphere interaction, Snow-climate interaction, Soil moisture-precipitation feedback in observation and regional climate model, Drought simulation and predication in semi-arid/semi-humid areas, Snow data assimilation using Ensemble Kalman Filter (EnKF)