Open Access<strong>Improving the efficient and robust uncertainty quantification in real-time flood forecasting using Polynomial chaos expansions and ensemble Kalman filter</strong>
Author(s) -
Jong-Ho Kim,
Trần Quang Vinh
Publication year - 2018
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/ecws-3-05821
Subject(s) - ensemble kalman filter , flood forecasting , kalman filter , hydrological modelling , ensemble forecasting , computer science , data assimilation , flood myth , glue , dual (grammatical number) , data mining , meteorology , machine learning , artificial intelligence , extended kalman filter , engineering , mechanical engineering , art , philosophy , physics , theology , literature , climatology , geology