dai_group

	• Regional Climate-Hydrology Modelling System Project, National Natural Science Foundation of China (NSFC) prestigious young scientist Award which is a singular recognition of extraordinary accomplishment for a young scientist who shows great promise for the future, funded by NSFC for the period January 2003 - December 2006. The main objectives of the project are: 1) A state-of-art dynamic vegetation model. 2) A finer-scale (1km - 10km) hydrologic model, is used to help improve the land surface processes in regional climate modelling, with particular emphasis on runoff. 3) A new dynamic-statistical parameterization of snow-free land surface albedo using the Moderate Resolution Imaging Spectroradiometer (MODIS) products of broadband black-sky and white-sky reflectance and vegetation and the North American and Global Land Data Assimilation System (LDAS) outputs of soil moisture during 2000 - 2003 . 4) The construction and implementation of the surface boundary conditions SBCs), specifically designed for the mesoscale modeling applications. The primary SBCs include surface topography (mean elevation, slope, curvature, and their standard deviations); bedrock, lakebed or seafloor depth; soil sand and clay fraction profile; surface albedo localization factor; bottom soil temperature; surface characteristic identification; land cover category; fractional vegetation cover; leaf and stem area index; sea surface temperature, salinity and current; and sea temperature and salinity profile. 5) Common Land Model with (1) (2) (3) (4) coupled with the Climate version of Weather Reaserch and Forcasting Model (CWRF). 6) CWRF evaluation, specially, for China and US regions. • Applications of Remotely Sensed Data in Hydrometeorological Models Project, Beijing Normal University excellent research group Award, funded by Beijing Normal University for the period of January 2004 - December 2006. The logistical and economic difficulties associated with obtaining continuous in situ measurements of hydrometeorological variables across the globe or regions, particularly in remote regions, are simply insurmountable. Only in recent years, with the advent of satellite remote sensing, have the required global data seemed within reach. The remotely sensed data should be valuable for global hydrological studies and even for regional hydrometeorological modeling and operations, but few currently use these data. For one thing, most lack the necessary technical background to use the data comfortably. For another, remote sensing data take the form of emitted and reflected radiances and thus are not the type of data traditionally used to run and calibrate models. Algorithms for converting these reflectances into physical quantities are often empirical in nature and are subject to noise in the calibration data, which can lead to potentially significant errors. The main objectives of the project is to develop the tools and algorithms of the utility of remote sensing in modeling large-scale hydrologic and atmospheric processes. • Climate System Modelling Project, funded by Ministry of Education of China (Project of “985 Science Innovative Platform ) for the period of January 2004 - December 2008. • Quantitative Assessment of the Impacts of Land Use/Land Cover Changes on the Water Cycle over Northwestern China , funded by NSFC (pending). 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.

• Regional Climate-Hydrology Modelling System Project, National Natural Science Foundation of China (NSFC) prestigious young scientist Award which is a singular recognition of extraordinary accomplishment for a young scientist who shows great promise for the future, funded by NSFC for the period January 2003 - December 2006. The main objectives of the project are:

1) A state-of-art dynamic vegetation model.

2) A finer-scale (1km - 10km) hydrologic model, is used to help improve the land surface processes in regional climate modelling, with particular emphasis on runoff.

3) A new dynamic-statistical parameterization of snow-free land surface albedo using the Moderate Resolution Imaging Spectroradiometer (MODIS) products of broadband black-sky and white-sky reflectance and vegetation and the North American and Global Land Data Assimilation System (LDAS) outputs of soil moisture during 2000 - 2003 .

4) The construction and implementation of the surface boundary conditions SBCs), specifically designed for the mesoscale modeling applications. The primary SBCs include surface topography (mean elevation, slope, curvature, and their standard deviations); bedrock, lakebed or seafloor depth; soil sand and clay fraction profile; surface albedo localization factor; bottom soil temperature; surface characteristic identification; land cover category; fractional vegetation cover; leaf and stem area index; sea surface temperature, salinity and current; and sea temperature and salinity profile.

5) Common Land Model with (1) (2) (3) (4) coupled with the Climate version of Weather Reaserch and Forcasting Model (CWRF).

6) CWRF evaluation, specially, for China and US regions.

• Applications of Remotely Sensed Data in Hydrometeorological Models Project, Beijing Normal University excellent research group Award, funded by Beijing Normal University for the period of January 2004 - December 2006. The logistical and economic difficulties associated with obtaining continuous in situ measurements of hydrometeorological variables across the globe or regions, particularly in remote regions, are simply insurmountable. Only in recent years, with the advent of satellite remote sensing, have the required global data seemed within reach. The remotely sensed data should be valuable for global hydrological studies and even for regional hydrometeorological modeling and operations, but few currently use these data. For one thing, most lack the necessary technical background to use the data comfortably. For another, remote sensing data take the form of emitted and reflected radiances and thus are not the type of data traditionally used to run and calibrate models. Algorithms for converting these reflectances into physical quantities are often empirical in nature and are subject to noise in the calibration data, which can lead to potentially significant errors. The main objectives of the project is to develop the tools and algorithms of the utility of remote sensing in modeling large-scale hydrologic and atmospheric processes.

• Climate System Modelling Project, funded by Ministry of Education of China (Project of “985 Science Innovative Platform ) for the period of January 2004 - December 2008.

• Quantitative Assessment of the Impacts of Land Use/Land Cover Changes on the Water Cycle over Northwestern China , funded by NSFC (pending). 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.