Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

This paper proposes a hybrid intelligent model for runoff prediction. The proposed model is
a combination of data preprocessing methods, genetic algorithms and levenberg–marquardt …

A methodology to estimate the discharge along rivers, even poorly gauged ones, taking
advantage of water level measurements derived from satellite altimetry is proposed. The …

The effect of flood waves entering into artificial reservoirs has to be carefully considered for
properly addressing dam management to warrant water resources utilization and to provide …

The forecasted runoff is an important input data for the daily operation of hydropower station,
and the forecast accuracy directly affects its operation efficiency. However, the forecasting …

Short-term power generation operation is an important content in the hydropower station
management. Because of the limitation of forecast accuracy, there is error between the …

The writer thanks all discussers for their great interest in the improved Muskingum model
with variable exponent parameter presented in the original paper. The discussers have …

This paper comparatively assesses the performance of five data assimilation techniques for
three-parameter Muskingum routing with a spatially lumped or distributed model structure …

Accurate forecast stages at river sections is of paramount importance to properly address
Flood Forecasting and Warning Systems (FFWSs) operating in real-time. The forecast …

This work extends the multi-temporal approach of the Model Conditional Processor (MCP-
MT) to the multi-model case and to the four Truncated Normal Distributions (TNDs) …