Challenges and technical advances in flood early warning systems (FEWSs)

D Perera, O Seidou, J Agnihotri… - Flood impact …, 2020 - books.google.com
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 …

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 …

[HTML][HTML] Influence of bias correction of meteorological and streamflow forecast on hydrological prediction in India

AD Tiwari, P Mukhopadhyay… - Journal of …, 2022 - journals.ametsoc.org
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 …

Key scientific issues of hydrological forecast in the headwater area of Yellow River

B YONG, J ZHANG, G WANG - Advances in Water Science, 2023 - skxjz.nhri.cn
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 …

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 …

Two novel error-updating model frameworks for short-to-medium range streamflow forecasting using bias-corrected rainfall inputs: Development and comparative …

A Khatun, B Sahoo, C Chatterjee - Journal of Hydrology, 2023 - Elsevier
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 …

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 …

Towards an improved ensemble precipitation forecast: a probabilistic post-processing approach

S Khajehei, H Moradkhani - Journal of Hydrology, 2017 - Elsevier
Recently, ensemble post-processing (EPP) has become a commonly used approach for
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 …

Combining postprocessed ensemble weather forecasts and multiple hydrological models for ensemble streamflow predictions

J Zhang, J Chen, X Li, H Chen, P **e… - Journal of Hydrologic …, 2020 - ascelibrary.org
Ensemble streamflow prediction (ESP), which is generally achieved by combining ensemble
weather forecast (EWF) and hydrological model, has a wide application. However, the EWF …