• Title/Summary/Keyword: AWS rain gage

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Estimation of Quantitative Precipitation Rate Using an Optimal Weighting Method with RADAR Estimated Rainrate and AWS Rainrate (RADAR 추정 강수량과 AWS 강수량의 최적 결합 방법을 이용한 정량적 강수량 산출)

  • Oh, Hyun-Mi;Heo, Ki-Young;Ha, Kyung-Ja
    • Korean Journal of Remote Sensing
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    • v.22 no.6
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    • pp.485-493
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    • 2006
  • This study is to combine precipitation data with different spatial-temporal characteristics using an optimal weighting method. This optimal weighting method is designed for combination of AWS rain gage data and S-band RADAR-estimated rain data with weighting function in inverse proportion to own mean square error for the previous time step. To decide the optimal weight coefficient for optimized precipitation according to different training time, the method has been performed on Changma case with a long spell of rainy hour for the training time from 1 hour to 10 hours. Horizontal field of optimized precipitation tends to be smoothed after 2 hours training time, and then optimized precipitation has a good agreement with synoptic station rainfall assumed as true value. This result suggests that this optimal weighting method can be used for production of high-resolution quantitative precipitation rate using various data sets.

Urban Hydrologic Monitoring due to Internet Hydrologic Monitoring System (인터넷 수문관측시스템을 이용한 도시수문 모니터링)

  • Seo, Kyu Woo;Kim, Nam Gil;Na, Hyun Woo;Lee, In Rock
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1321-1325
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    • 2004
  • The continuous monitoring of the runoff in the small-scaled urban watershed and easily accessible experiment catchment is necessary to investigate the overall status of the development in the urban catchment and the varying aspects of the discharge characteristics due to the urbanization. However, the research on the management and the characteristics of the small-scaled model basin for discharge tests has not been actively performed up to now. This study selects the Dong-Eui university basin, which locates at Gaya-dong in Busan, as the experiment catchment to monitor the discharge rate in the urban watershed. EMS(DEMS, DATA-PCS EMS, mini rain gage & AWS(AWS-DEU, DATA-PCS AWS) monitoring system installed for the collection of hydrological data such as the rainfall and the waterlevel. This experiment catchment is the typical urban catchment and is under development, and it is possible to analyze the varying aspects of the discharge rate during and after the development.

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