IGARSS 2011, Jul. 26, Vancouver 1 Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation System Hui Lu (Tsinghua University) Toshio Koike, Hiroyuki Tsutsui, Katsunori Tamagawa (The University of Tokyo) Kun Yang, Xin Li (Chinese Academy of Science) Xiangde Xu (Chinese Meteorological Admistration)
Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land Data Assimilation System. Hui Lu ( Tsinghua University ) Toshio Koike, Hiroyuki Tsutsui, Katsunori Tamagawa ( The University of Tokyo ) Kun Yang, Xin Li ( Chinese Academy of Science ) - PowerPoint PPT Presentation
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IGARSS 2011, Jul. 26, Vancouver 1
Improving Land Surface Energy and Water Fluxes Simulation over the Tibetan Plateau with Using a Land
Data Assimilation System
Hui Lu (Tsinghua University)
Toshio Koike, Hiroyuki Tsutsui, Katsunori Tamagawa (The University of Tokyo)
Kun Yang, Xin Li (Chinese Academy of Science)
Xiangde Xu (Chinese Meteorological Admistration)
IGARSS 2011, Jul. 26, Vancouver 2
Contents
• Background and Objective• Land Data Assimilation System• Application Region and Data
– Simulation domain and ground sites– Used Data
• Results– Surface soil moisture– Land surface energy fluxes
• Remarks
IGARSS 2011, Jul. 26, Vancouver 3
Background and objective• Tibetan Plateau is important in the progress of the
Asian summer monsoon – land surface processes – direct Orographic and thermal effects
• Land-atmosphere interaction in T-P is the key to– improve the understanding of Asian monsoon – improve the accuracy of numerical weather prediction in
east Asia – mitigate weather disaster in this region
• Objectives of this research– To identify the potential of LDAS to improve the modeling
of land surface fluxes.– To generate reliable regional distribution of soil moisture
and energy fluxes
IGARSS 2011, Jul. 26, Vancouver 4
Land Data Assimilation System• Why LDAS
– Shortage of model• Maybe biased, can not correct errors from forcing, parameter setting and
model physics – Shortage of satellite remote sensing
• Limited information, both temporal and spatial
• Structure of LDAS: three parts of a variational system – Dynamic model: Land surface scheme :
• SiB2– TB observation:
• RTM: Advanced Integral Equation Method (AIEM)– Optimization scheme: