[HTML][HTML] Forecasting: theory and practice
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
uncertainty that surrounds the future is both exciting and challenging, with individuals and …
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
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 …
research embracing a broad spectrum of operational situations. This work catalogs the …
[HTML][HTML] An overview of approaches for reducing uncertainties in hydrological forecasting: Progress and challenges
Uncertainty plays a key role in hydrological modeling and forecasting, which can have
tremendous environmental, economic, and social impacts. Therefore, it is crucial to …
tremendous environmental, economic, and social impacts. Therefore, it is crucial to …
[PDF][PDF] 贝叶斯概率水文预报研究进展与展望
刘章君， 郭生练， 许新发， 成静清， 钟逸轩， 巴欢欢 - 水利学报, 2019 - jhe.ches.org.cn
水文预报不可避免地存在着输入, 水文模型参数和结构等不确定性, 导致预报结果也具有不确定
性. 因此, 定量估计水文预报的不确定性, 实现概率水文预报, 不仅可得到比确定性预报更高的 …
性. 因此, 定量估计水文预报的不确定性, 实现概率水文预报, 不仅可得到比确定性预报更高的 …
A novel hybrid XAJ-LSTM model for multi-step-ahead flood forecasting
The conceptual hydrologic model has been widely used for flood forecasting, while long
short-term memory (LSTM) neural network has been demonstrated a powerful ability to …
short-term memory (LSTM) neural network has been demonstrated a powerful ability to …
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 …
Effective flood forecasting at higher lead times through hybrid modelling framework
Artificial neural network has been acknowledged as a promising tool for accurately
forecasting the streamflow. However, several constraints limit its application in operational …
forecasting the streamflow. However, several constraints limit its application in operational …
A Monte Carlo simulation and sensitivity analysis framework demonstrating the advantages of probabilistic forecasting over deterministic forecasting in terms of flood …
LF Duque, E O'Connell, G O'Donnell - Journal of Hydrology, 2023 - Elsevier
Despite the significant progress in probabilistic forecasting science in the last two decades,
particularly in the quantification of predictive uncertainty (PU), most operational flood early …
particularly in the quantification of predictive uncertainty (PU), most operational flood early …
A back-fitting algorithm to improve real-time flood forecasting
X Zhang, P Liu, L Cheng, Z Liu, Y Zhao - Journal of Hydrology, 2018 - Elsevier
Real-time flood forecasting is important for decision-making with regards to flood control and
disaster reduction. The conventional approach involves a postprocessor calibration strategy …
disaster reduction. The conventional approach involves a postprocessor calibration strategy …
Comparing hydrological postprocessors including ensemble predictions into full predictive probability distribution of streamflow
D Biondi, E Todini - Water Resources Research, 2018 - Wiley Online Library
Although not matching the formal definition of the predictive probability distribution,
meteorological and hydrological ensembles have been frequently interpreted and directly …
meteorological and hydrological ensembles have been frequently interpreted and directly …