NDLI: Runoff estimation using radar and rain gage data.

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Runoff estimation using radar and rain gage data.

Content Provider	CiteSeerX
Author	Sharma, A. Chumchean, S. Sriwongsitanon, N.
Abstract	Radar rainfall is an alternative input data to a rainfall-runoff model and potentially can improve the accuracy in runoff estimates. This study used daily gage rainfall (DGR) and 3 types of radar rainfall as the input data to the selected rainfall-runoff model (URBS) to find out the most appropriate rainfall dataset for the most accurate runoff hydrographs at 4 runoff stations in the upper Ping river basin, Northern Thailand. The DGR was approximated for each sub-catchment using the Thiessen polygon technique. The calibrated daily Z-R relationship for the Omkoi radar (Z=74R1.6) and the mean field bias correction technique were applied to calculate the daily radar rainfall (DRR). The hourly radar rainfall (HRR) was estimated using the update daily Z-R relationship which was changed daily depending upon the mean field bias values. The scaling transformation equation ( 24 055.0)24/ ( AtAt = ) was applied to update the daily Z-R relationship for an estimation of hourly radar rainfall (HRRS). The results show that all radar rainfall input data tend to produce more accurate runoff hydrographs than the DGR. The HRRS dominates other rainfall datasets for producing the most accurate results in runoff estimation. The weather radar is therefore an effective measurement to estimate rainfall for improving runoff estimates especially in regions where continuous gage rainfall measurements are not available and rain gages are sparsely distributed.
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Access Restriction	Open
Subject Keyword	Runoff Estimation Rain Gage Data Hourly Radar Rainfall Accurate Runoff Hydrographs Radar Rainfall Rainfall-runoff Model Runoff Estimate Omkoi Radar Update Daily Z-r Relationship Input Data Mean Field Bias Correction Technique Northern Thailand Calibrated Daily Z-r Relationship Daily Radar Rainfall Weather Radar Rain Gage Daily Gage Rainfall Scaling Transformation Equation Appropriate Rainfall Dataset Daily Z-r Relationship Mean Field Bias Value Alternative Input Data Effective Measurement Continuous Gage Rainfall Measurement Upper Ping River Basin Accurate Result Rainfall Datasets Thiessen Polygon Technique Runoff Station Radar Rainfall Input Data
Content Type	Text

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