Challenges and technical advances in flood early warning systems (FEWSs)
Flood early warning systems (FEWSs)—one of the most common flood-impact mitigation
measures—are currently in operation globally. The UN Office for Disaster Risk Reduction …
measures—are currently in operation globally. The UN Office for Disaster Risk Reduction …
Forecasting daily runoff by extreme learning machine based on quantum-behaved particle swarm optimization
W Niu, Z Feng, C Cheng, J Zhou - Journal of Hydrologic …, 2018 - ascelibrary.org
Accurate hydrologic time-series prediction plays an important role in modern water resource
planning, water supply management, environmental protection, and power system …
planning, water supply management, environmental protection, and power system …
[HTML][HTML] Influence of bias correction of meteorological and streamflow forecast on hydrological prediction in India
The efforts to develop a hydrologic model-based operational streamflow forecast in India are
limited. We evaluate the role of bias correction of meteorological forecasts and streamflow …
limited. We evaluate the role of bias correction of meteorological forecasts and streamflow …
Key scientific issues of hydrological forecast in the headwater area of Yellow River
The hydrological forecast for the headwater area of Yellow River is of vital importance to the
flood water resources utilization through optimal operation of cascade reservoirs over the …
flood water resources utilization through optimal operation of cascade reservoirs over the …
Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill
C Yang, H Yuan, X Su - Journal of Hydrology, 2020 - Elsevier
In recent years, ensemble precipitation forecasting has been able to provide more
uncertainty information and plays an increasingly important role in basin-scale hydrologic …
uncertainty information and plays an increasingly important role in basin-scale hydrologic …
Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative …
Accurate inflow forecasts with sufficient lead-time are highly crucial for efficient reservoir
operation, for which, this study advocates the popular MIKE11-NAM-HD (MIKE) standalone …
operation, for which, this study advocates the popular MIKE11-NAM-HD (MIKE) standalone …
A stacking ensemble model for hydrological post-processing to improve streamflow forecasts at medium-range timescales over South Korea
DG Lee, KH Ahn - Journal of Hydrology, 2021 - Elsevier
This study presents the potential of hydrological ensemble forecasts over South Korea for
medium-range forecast lead times (1–7 days). To generate hydrological forecasts, this study …
medium-range forecast lead times (1–7 days). To generate hydrological forecasts, this study …
Towards an improved ensemble precipitation forecast: a probabilistic post-processing approach
Recently, ensemble post-processing (EPP) has become a commonly used approach for
reducing the uncertainty in forcing data and hence hydrologic simulation. The procedure …
reducing the uncertainty in forcing data and hence hydrologic simulation. The procedure …
Spatiotemporal variations in precipitation forecasting skill of three global subseasonal prediction products over China
S Liu, W Li, Q Duan - Journal of Hydrometeorology, 2023 - journals.ametsoc.org
Subseasonal to seasonal (S2S) predictions, which bridge the gap between weather
forecasts and climate outlooks, have the great societal benefits of improving water resource …
forecasts and climate outlooks, have the great societal benefits of improving water resource …
Combining postprocessed ensemble weather forecasts and multiple hydrological models for ensemble streamflow predictions
Ensemble streamflow prediction (ESP), which is generally achieved by combining ensemble
weather forecast (EWF) and hydrological model, has a wide application. However, the EWF …
weather forecast (EWF) and hydrological model, has a wide application. However, the EWF …