1. PI: Global Change - Land-Atmosphere Interaction Studies (2006 - 2015) Funded by China Ministry of Education and State Administration for Foreign Experts Affairs for Intellectual Introduction Project for the Discipline Innovation in China University System.
2. PI: The Development of Land Date Assimilation System in Global and Regional Multi-scale Advanced Prediction Model System (GRAPES) (2012 - 2014) Funded by China Meteorological Administration (CMA) for the public sector specific research (meteorology).
3. PI: High-Impact Weather Prediction Technology for Beijing-Tianjing-Hebei Metropolitan Region (2009 - 2012) Funded by National Key Technology R&D Program of China.
4. PI: Coupling the Common Land Model in Global and Regional Multi-scale Advanced Prediction Model System (GRAPES) (2008 - 2012) Funded by China Meteorological Administration (CMA).
5. PI: The development of China atmospheric forcing data for Land Surface Models (2009 - 2011) Funded by National Natural Science Foundation of China (NSFC).
6. PI: Land Modeling Uncertainty induced by the errors of model parameters, numerical schemes and parameterization (2008 - 2010) Funded by National Natural Science Foundation of China (NSFC).
7. PI: The Youth Science Foundation of NSFC - Development of a China dataset of soil hydraulic parameters using pedotransfer function for land surface modeling (2013 - 2015)
8. Co-PI: 973 program - Research of global biogeochemistry model and its element cycling process (2010 - 2014)
9. Co-PI: 863 program - Land surface modeling and assimilation system research (2009 - 2012)
X1. Quantitative Assessment of the Impacts of Land Use/Land Cover Changes on the Water Cycle over Northwestern China (Proposal has been drafted and we invite collaborators) Dramatic land use/land cover changes are expected in the 21st Century in China, especially over West China. The Chinese government recently initiated a giant greenness movement by planting from 2003 to 2010, the investment is over 7,000 billion Chinese money (yuan) in 7 years. The goals of the proposed research are to address the following scientific questions: what are the spatial and temporal variability in the water cycle, and the associated physical processes over northwestern China? what are the changes in land use/land cover over last 20 years over northwestern China? what is the role of the land use/land cover on variability of the regional water cycle? what is the impact of human-induced changes in land use/land cover on variations in the water cycle? do the regional climate variations favor the sustainable growth of vegetations (trees, grasses, crops) over the region? The major objective of this research is to quantify the none-linear interactions between land use/land cover changes and water cycle variability over northwestern China as well as climate variations at various spatial and temporal scales.
X2. Understanding the Terrestrial Water and Energy Cycles across the NEESPI Domain (Proposal has been drafted and we invite collaborators) We will use land surface modeling, with satellite-based land cover data and in-situ data, to assess the impact on the water and energy fluxes across Central Asia. Central Asia represents a large continental land area undergoing potentially dramatic, and irreversible, ecosystem change. Much of this region is arid or semi-arid, both of which are fragile ecosystems. We have poor state of knowledge about the terrestrial water and energy budget across Central Asia, particularly their variability, trends. The overarching science question we will be addressing is "How have changes in climate, land cover and water management in Central Asia over the last half-century affected the land surface hydrology and ecosystem?" To address this question, we will use land surface modeling, with satellite-based landcover data and in-situ data, to assess the impact on the water and energy fluxes across Central Asia. Changes in the surface fluxes could be caused by various processes, such as climate variability and change, landscape variability and change, and anthropogenic effects. Diagnostic studies will be conducted to better understand the coupling of land surface hydrologic processes to atmospheric processes over a range of spatial and temporal scales. Additional experiments will assess the impacts on the water and energy cycle from future changes in climate, land cover, and water management