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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 ...
IMPROVING WATER QUALITY FORECASTING USING DATA ASSIMILATION
(2015-12-08)
Population growth increases agricultural, industrial and human activities which threaten the quality of water resources, especially water supply sources such as lakes and reservoirs. In potentially high-impact situations ...