Paper
14 July 2003 The LULC characterization and regional climate simulation
Hanjie Wang, Weilai Shi
Author Affiliations +
Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.465434
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China
Abstract
With a new satellite database that characterizes the significant land use and land cover (LULC) variations induced by the Western Region Development Strategy and the corresponding ecological engineering in China, a regional climate model is used to simulate their impacts on regulating the structure of summer monsoon system in East Asia and the relevant regional climate changes. The simulation shows that the East Asian summer monsoon might be enhanced because of the large scale LULC variations in western China, which is favorable to the water vapor transfer from the adjacent oceanic areas to the continent of China. The humidity increase in China continent can be partly attributed to the vegetation evapotranspiration but mostly to the water vapor transfer of the enhanced monsoon circulation. The integrated impact of LULC variations on temperature, wind speed as well as humidity are not only limited to the west part of China, but to the adjacent areas where the LULC does not vary. Neither is such impact limited to the atmospheric boundary layer; it can reach to a higher level of 850hpa (about 1500m) for humidity and wet hydrostatic energy and much higher for temperature, pressure and wind speed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hanjie Wang and Weilai Shi "The LULC characterization and regional climate simulation", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.465434
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KEYWORDS
Climatology

Humidity

Vegetation

Wind energy

Atmospheric modeling

Databases

Data modeling

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