HR: 0800h
AN: H31D-0648    [Abstracts]
TI: Estimation of Land Surface Parameters by LDAS-UT: Model Development and Validation on Tanashi Field Experiment
AU: * lu, h
EM: lu@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AU: koike, t
EM: tkoike@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AU: yang, k
EM: yangk@itpcas.ac.cn
AF: Institute of Tibetan Plateau Research, The Chinese Academy of Sciences, Institute of Tibetan Plateau Research, The Chinese Academy of Sciences, No.18, Shuangqing Road., Beijing, Beijing, 100085, China
AU: li, x
EM: lixin@lzb.ac.cn
AF: Cold and Arid Regions Envi. and Eng. Research Institute, Chinese Academy of Sciences, DongGangXi Road.260, Lanzhou, Lanzhou, 730000, China
AU: graf, t
EM: tgraf@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AU: boussetta, s
EM: souhail6@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AU: tsutsui, h
EM: tsutsui@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AU: kuria, d n
EM: kuria@hydra.t.u-tokyo.ac.jp
AF: The University of Tokyo, River and Envi. Eng. Lab., Dept. of Civil Eng.,The Univ. of Tokyo, Hongu 7-3-1, Bunkyo-ku, Tokyo, Tokyo, 113-8656, Japan
AB: The estimation of soil moisture and surface energy fluxes at various temporal and spatial scales remains to be an outstanding problem in hydrologic and meteorological researches. Remote sensed data retrieval algorithms, land surface models and data assimilation systems are highly expected to provide a solution to this problem. But the parameters required by those algorithms and systems, such as the soil texture, porosity, roughness parameters and so on, are highly variable or unavailable. In this study, a land data assimilation system (LDAS- UT) is employed to inversely estimate the optimal values of those land surface parameters with meteorological forcing data and remote sensed data. And a field experiment is designed to provide a well-controlled data set for the system validation. The Tanashi experiment has been in operation since November, 2006 in the farm of the University of Tokyo. Continuous ground measurements of meteorological variables, soil moisture and temperature profiles and vegetation status have been taken over a plot, in which winter wheat was planted. At the same time, the ground based microwave radiometers (GBMR) are employed to provide accurate field measurements of brightness temperature up-welling from the plot, at the frequencies of 6.925, 10.65, 18.7, 23.8, 36.5 and 89 GHz. The LDAS_UT is then run with using data obtained from this experiment to retrieval parameters for two periods. One is the period from December 2006 to February 2007, the germination period of winter wheat, and during which the vegetation effects are small. The second period is from April to May 2007, during which the winter wheat was developing rapidly. The optimize parameters were compared with the in situ observed ¡®real' ones. It found that, for the first period, the retrieved parameters are close to the ¡®real' values, while for the second period, the gap between the retrieved parameters and the ¡®real' values are much bigger. The difference between the optimized parameters and the observed ¡®real' ones reveals the potential source of uncertainty in the system due to the limitation of current RTM and LSS.
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
DE: 1878 Water/energy interactions (0495)
DE: 3315 Data assimilation
SC: Hydrology [H]
MN: 2007 Fall Meeting