Provenance in streamflow forecasting
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- Provenance in streamflow forecasting
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Optimal Filtering Techniques for Analytical Streamflow Forecasting
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Short-term streamflow forecasting: ARIMA vs neural networks
MATH'08: Proceedings of the American Conference on Applied MathematicsStreamflow forecasting is very important for water resources management and flood defence. In this paper two forecasting methods are compared: ARIMA versus a multilayer perceptron neural network. This comparison is done by forecasting a streamflow of a ...
Calibrating hourly rainfall-runoff models with daily forcings for streamflow forecasting applications in meso-scale catchments
The absence of long sub-daily rainfall records can hamper development of continuous streamflow forecasting systems run at sub-daily time steps. We test the hypothesis that simple disaggregation of daily rainfall data to hourly data, combined with hourly ...
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Association for Computing Machinery
New York, NY, United States
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