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- W2914059072 abstract "Recent advancements in precipitation observation technology make it possible to precisely describe the intensity and temporal-spatial distribution of heavy rainfall, which can cause severe floods and inundations. Such technologies have also increased the accuracy of flood forecasting. However, error factors in flood forecasting remain to be solved, originating in not only input data but also model structure and calibration. Thus, this study focused on convergence results of errors in parameter optimization of the PWRI Distributed Hydrological Model and the reproducibility of river discharge. The reliability of ground-gauge and C-band-radar rainfall is compared in terms of flood forecasting under the condition of the minimum error due to calibration. Although the convergence results showed that C-band radar rainfall was superior to ground gauge rainfall, both were equally effective in reproducing river discharge with a high NSE of 0.9 at a station with error assessment. On the other hand, the reproducibility of river discharge with C-band radar data was highly superior to that with ground gauge data at a station without error assessment. This indicates that grid-based high resolution rainfall data is necessary for basin-wide flood forecasting." @default.
- W2914059072 created "2019-02-21" @default.
- W2914059072 creator A5011820683 @default.
- W2914059072 creator A5053714043 @default.
- W2914059072 date "2018-09-20" @default.
- W2914059072 modified "2023-10-16" @default.
- W2914059072 title "Influence of Rainfall Data with Different Spatial Resolutions on Flood Forecasting Reliability" @default.
- W2914059072 cites W2058449886 @default.
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- W2914059072 doi "https://doi.org/10.29007/74bp" @default.
- W2914059072 hasPublicationYear "2018" @default.
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