Auto-calibration System Developed to Assimilate AMSR-E Data into a Land Surface Model for Estimating Soil Moisture and the Surface Energy Budget(<Special Issue>Coordinated Enhanced Observing Period(CEOP))
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概要
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Low-frequency microwave brightness temperature is strongly affected by near-surface soil moisture; therefore, it can be assimilated into a land surface model to improve modeling of soil moisture and the surface energy budget. This study presents a new variational land system used to assimilate AMSR-E brightness temperature of vertical polarization of 6.9 GHz and 18.7 GHz. The system consists of a land surface model (LSM) used to calculate surface fluxes and soil moisture, a radiative transfer model (RTM) to estimate the microwave brightness temperature, and an optimization scheme to search for optimal values of soil moisture by minimizing the difference between modeled and observed brightness temperature. The LSM is an improved simple biosphere model for sparse vegetation modeling and the RTM is a Q-h model that can account for the effects of surface roughness and vegetation. Several parameters in the LSM and RTM can significantly affect the outputs of the land data assimilation system but their values are either highly variable or unavailable. To solve this problem, we developed a dual-pass assimilation technique. Pass 1 inversely estimates the optimal values of the model parameters with long-term (〜months) forcing data and brightness temperature data, while Pass 2 estimates the near-surface soil moisture in a daily assimilation cycle. This system is driven by well-established reanalysis data and global data sets of leaf area index, precipitation, and surface radiation, and was tested at a CEOP (Coordinate Enhanced Observing Period) reference site on the Tibetan Plateau. The system not only detected the effect of precipitation events that were missing in the forcing data, but also led to a significant improvement in modeling of the surface energy budget.
- 社団法人日本気象学会の論文
- 2007-02-28
著者
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小池 俊雄
東京大学工学系
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Ishikawa Hirohiko
Disaster Prevention Research Institute, Kyoto University
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Yang Kun
Department Of Civil Engineering The University Of Tokyo
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Ma Yaoming
Institute of Tibetan Plateau
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KOIKE Toshio
Department of Civil Engineering, The University of Tokyo
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FUJII Hideyuki
Department of Civil Engineering, The University of Tokyo
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Ma Yaoming
Institute Of Tibetan Plateau Research
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TAMAGAWA Katsunori
Department of Civil Engineering, University of Tokyo
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Koike Toshio
Dep. Of Civil Engineering The Univ. Of Tokyo
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Koike Toshio
Department Of Civil Engineering The University Of Tokyo
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YANG Run
Department of Civil Engineering, University of Tokyo
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WATANABE Takahiro
Department of Civil Engineering, The University of Tokyo
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v Xin
Cold and Arid Regions Environmental and Engineering Research Institute
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Ishikawa Hirohiko
Disaster Prevention Research Institute Kyoto University
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Yang Run
Department Of Civil Engineering The University Of Tokyo
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Fujii Hideyuki
Department Of Civil Engineering The University Of Tokyo
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Ishikawa H
Disaster Prevention Research Institute Kyoto University
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Tamagawa Katsunori
Department Of Civil Engineering The University Of Tokyo
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Watanabe Takahiro
Department Of Civil Engineering The University Of Tokyo
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Fujii Hideyuki
Univ. Tokyo Tokyo Jpn
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YANG Kun
Department of Chemistry & Biochemistry, University of Delaware
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