Session 11A Multiprocesses Analysis, Modeling, and Product Application in Arid and Semiarid Regions

Thursday, 11 January 2018: 10:30 AM-12:00 PM
Room 18A (ACC) (Austin, Texas)
Host: 32nd Conference on Hydrology
Yaohui Li, China Meteorological Administration, Institute of Arid Meteorology, Lanzhou; Xing Yuan, Institute of Atmospheric Physics, Chinese Academy of Sciences, RCE-TEA, Beijing and Youlong Xia, NOAA/NWS/NCEP/EMC, College Park, MD

This session focuses on multiple processes analysis and simulation including but not limited to land–atmosphere water and energy cycles in arid and semiarid regions, where water resources and ecosystems are vulnerable to climate change. To investigate the water and energy cycle over arid and semiarid regions, the impact of irrigation and ground water (pumping) dynamics, and vegetation dynamics are tested, analyzed, and compared from offline land surface modeling and coupled NWP model to those based on reanalysis product, remote sensing, and in situ observations. Furthermore, accuracy, uncertainty, and error analysis for each individual energy and water component is useful for physical processes understanding and data product application. The temporal scale covers from hourly to interannual and spatial scale covers from local, watershed, regional and global scale. In addition, application of these data and products to drought/flood formation mechanism, monitoring and prediction, agricultural and water resource management, and long-term trend analysis are also welcome.

10:30 AM
MetOp ASCAT Observations of the Soil–Vegetation Continuum in the North American Prairies (Invited Presentation)
Susan C. Steele-Dunne, Delft Univ. of Technology, Delft, Netherlands; and S. Hahn and W. Wagner

10:45 AM
Contributions of Radiative Factors to Enhanced Dryland Warming (Invited Presentation)
Xiaodan Guan, College of Atmospheric Sciences, Lanzhou Univ., Lanzhou, China; and Y. Zhang and Z. Gan

11:00 AM
11:30 AM
11:45 AM
Merging of Microwave Remote Sensing and Land Surface Modeling of Soil Moisture for Regional and Global Drought Analysis
Xing Yuan, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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