Hydrological forecasting is an important instrument for more effective water management, such as warning and protection against water-related hazards, real-time operation of water infrastructure, improved water allocation, and environmental monitoring. Recent advances within radar rainfall estimation and nowcasting, ensemble-based numerical weather prediction (NWP), in-situ and satellite monitoring, and hydrological data assimilation are opening up new opportunities in real-time hydrological forecasting. NWP ensemble products can be used as input to hydrological forecast models to produce probabilistic forecasts and estimation of forecast uncertainty of the hydrological variables of interest. In this regard, key scientific challenges are u...
This study presents a methodology to apply Ensemble Transform Kalman Filer (ETKF) in an operational ...
We investigate the effects of noise specification on the quality of hydrological forecasts via an ad...
Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorolo...
Hydrological forecasting is an important instrument for more effective water management, such as war...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Ideally, real-time flood management decisions must be based on an understanding of the uncertaintie...
The National Water Center (NWC) started using the National Water Model (NWM) in 2016. The NWM delive...
Accurate real-time forecasting of river water level is an important issue that has to be addressed i...
Real-time flood management decisions including flood warning must be based on an understanding of th...
Hydrological forecasts are a useful and cost-effective tool to aid decision making. Hydrological for...
The need for accurate estimation of hydrodynamic and water quality model variables arises from the U...
One of the key success factor for hydrological forecasts is the establishment of initial conditions ...
Ensemble hydrometeorological forecasting has great potential for improving flood predictions and use...
This study presents a methodology to apply Ensemble Transform Kalman Filer (ETKF) in an operational ...
We investigate the effects of noise specification on the quality of hydrological forecasts via an ad...
Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorolo...
Hydrological forecasting is an important instrument for more effective water management, such as war...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstr...
Ideally, real-time flood management decisions must be based on an understanding of the uncertaintie...
The National Water Center (NWC) started using the National Water Model (NWM) in 2016. The NWM delive...
Accurate real-time forecasting of river water level is an important issue that has to be addressed i...
Real-time flood management decisions including flood warning must be based on an understanding of th...
Hydrological forecasts are a useful and cost-effective tool to aid decision making. Hydrological for...
The need for accurate estimation of hydrodynamic and water quality model variables arises from the U...
One of the key success factor for hydrological forecasts is the establishment of initial conditions ...
Ensemble hydrometeorological forecasting has great potential for improving flood predictions and use...
This study presents a methodology to apply Ensemble Transform Kalman Filer (ETKF) in an operational ...
We investigate the effects of noise specification on the quality of hydrological forecasts via an ad...
Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorolo...