Abstracts for the 5th International GAME Conf.
3-5 October 2001
Aichi Trade Center
Nagoya Japan
Energy and Water Budget Estimation Based on the GAME-Tropics Datasets and ALMA-compliant LSP Experiments
AGATA, Yasushi (1), KIM, Wonsik (1), KANAE, Shinjiro (1), OKI, Taikan (1), MUSIAKE, Katumi (1)
(1) Institute of Industrial Science, University of Tokyo, Japan
One of the main aims of GEWEX/GAME is to collect datasets of both routine observations and intensive measurements such as those during IOP. As one of GAME-data centers, GAME-T DataCenter, which includes both records of routine hydrometeorological measurements by local government of southeast Asian countries and intensive observations carried out by participants of GAME-Tropics was opened to scientific community by WWW (http://hydro.iis.u-tokyo.ac.jp/GAME-T/GAIN-T/index.html). The authors mainly maintain this dataset.
The authors created a grid-based atmospheric forcing data for Indochina Peninsula for GAME-IOP. It was made from above-mentioned GAME-T dataset with both spatiotemporal interpolation of surface observation result and satellite remote sensing records. Such datasets have been made by other GAME activities such as GAME-HUBEX and GAME-Tibet. The grid dataset for GAME-T followed the regulation of ALMA (the information technology basis for next LSP intercomparison project), which allows us to easily apply this dataset to the LSPs which are ALMA-compliant.
The authors carried out LSPs and river routine model experiment for Chao Phraya River Basin, Thailand(Thailand, 15-20N, 98-101E. Drainage Area is about 110,000km2). The atmospheric forcing data was the above-mentioned GAME-Tropics dataset, and LSPs used are SiB2, SiB2 incorporating paddy-field-scheme (Kim et al., 2000) and bucket model. The results of each experiment were checked with both the surface observational results and the routine and remote sensing record especially river runoff amount, both of which are included in the GAME-T dataset.
The preliminary results showed that [1] SiB2 with paddy-field scheme can well simulate the diurnal cycle of water budget on paddy field but original SiB2 cannot do so [2] SiB2- paddy can also simulate daily change in river runoff well [3] The impact of operation of two major dams is markedly large but appropriate routing method can estimate this artificial effect on river runoff [4] Amount of transpiration in dry season is almost the same to that in wet season, which is consistent with the some results surface flux observation in GAME-T. Investigating the motion of LSP variables revealed the reason of this phenomenon from physiological viewpoint. [5] Land use change may bring strong impact on the water balance in this region. For example, altering short vegetaion/C4 grassland to paddy field will increase the amount of evaporation during wet season due to higher soil moisture and existence of surface water body, which is basically bad situation for water resources conservation.
Submittal Information
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Hydrology and Water Resources Lab., Institute of Industrial Science, University of Tokyo | |
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4-6-1 Komaba, Meguro-ku, Tokyo 153-8505 | |
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