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IMPROVING FLOOD FORECASTING USING CONDITIONAL BIAS-AWARE ASSIMILATION OF STREAMFLOW OBSERVATIONS AND DYNAMIC ASSESSMENT OF FLOW-DEPENDENT INFORMATION CONTENT
(2020-12-22)
Accurate forecasting of floods is a long-standing challenge in hydrology and water management. Data assimilation (DA) is a popular technique used to improve forecast accuracy by updating the model states in real time using ...
Conditional Bias-Penalized Kalman Filter for Improved Estimation and Prediction of Extremes
(2017-08-18)
Kalman filter (KF) and its variants are widely used for real-time updating of model states and prediction in environmental sciences and engineering. Whereas in many applications the most important performance criteria may ...