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Hui Lu ( Tsinghua University )

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 )

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Hui Lu ( Tsinghua University )

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  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: • Shuffled Complex Evolution (SCE) IGARSS 2011, Jul. 26, Vancouver

  5. Microwave Mv Tbobs LSM Tbsim Surface radiation Vegetation emission Tg, Tc, Mv RTM Vegetation layer Surface TMI/AMSR/AMSR-E (6.9/10.6 and 18.7 GHz) Optimization + Assimilation LDAS SiB2/New SiB Minimization scheme F(Tbobs-Tbsim) Shuffled Complex Evolution DMRT-AIEM IGARSS 2011, Jul. 26, Vancouver

  6. Semi-dynamic Vegetation information: MODIS, LAI VWC MODIS, NDVIVegetation Fractional coverage: Observation: Microwave TB TMI/AMSR/AMSR-E Introduction of LDAS-UT: Input and Output LDAS-UT Output Status Variables: Energy fluxes Soil Moisture profile Soil Temp. profile Canopy Temperature …… Default Parameters: Land Cover Type, Soil Type, …… ISLSCP Meteorological Forcing: Wind, Temp., Humidity, Pressure, Precipitation, Radiation In situ observation, Satellite Products, model outputs, IGARSS 2011, Jul. 26, Vancouver

  7. Application Region • Domain: • Lat: 25-40N • Lon: 70-105E • Simulated Period • May. - Sep., 2008 • Two local sites • West: Gaize • East: Naqu IGARSS 2011, Jul. 26, Vancouver

  8. Used Data • In situ observation • Soil moisture at two sites • AWS observation • Energy fluxes derived from AWS observation by Bowen Ratio • Reanalysis data from NCEP • Meteorological forcing for region simulation • Biases in radiation and precipitation, but not corrected for regional application. • Satellite remote sensing data • Soil moisture retrieval from AMSR-E (JAXA) • Brightness temperature from AMSR-E IGARSS 2011, Jul. 26, Vancouver

  9. ResultsSoil Moisture IGARSS 2011, Jul. 26, Vancouver

  10. Result: Soil moisture at Gaize IGARSS 2011, Jul. 26, Vancouver

  11. Result: Soil moisture at Naqu IGARSS 2011, Jul. 26, Vancouver

  12. Result: Energy flux:Bowen Ratio Clean wet/dry division is showed by LDAS result, while NCEP failed to represent such a feature. IGARSS 2011, Jul. 26, Vancouver

  13. Result: energy fluxes at Gaize IGARSS 2011, Jul. 26, Vancouver

  14. Result: energy fluxes at Naqu IGARSS 2011, Jul. 26, Vancouver

  15. Result: Dynamic variation NCEP LDAS-UT Cyclonic brings moisture from the Bay of Bengal to the SE of T-P, and brings dry air mass from Taklamagan desert LDAS-UT is able to provide more realistic land surface status for research in other principles IGARSS 2011, Jul. 26, Vancouver

  16. Remark • Land-atmosphere interaction in T-P is very important for Asian monsoon development. • Combining MW remote sensing and LSM, LDAS could improve the land surface fluxes simulation. • LDAS produce more realistic land surface status, which is in good agreement with monsoon development. • Feeding LDAS fluxes into atmosphere model is expected IGARSS 2011, Jul. 26, Vancouver

  17. Acknowledgments • The data is get from “Japan-China JICA project”. Colleges contribute to this project are: • UT: T. Koike, K. Tamagawa, H. Tutsui, L. Wang • Tsukuba U.: K. Ueno • ITP: K. Yang, Y.M. Mao • CAREERI: X. Li, Z.Y. Hu, W.Q. Ma, M.S.Li • CAMS: X.D. Xu, H. Peng IGARSS 2011, Jul. 26, Vancouver

  18. Thank you for your attention! IGARSS 2011, Jul. 26, Vancouver

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