01683nam 2200433 450 991042464730332120230830164628.01-83968-084-9(CKB)4100000011568899(NjHacI)994100000011568899(oapen)https://directory.doabooks.org/handle/20.500.12854/67730(EXLCZ)99410000001156889920221022d2020 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDynamic Data Assimilation Beating the Uncertainties /edited by Dinesh G. HarkutIntechOpen2020London :IntechOpen,2020.1 online resource (118 pages) illustrations1-83968-083-0 Includes bibliographical references.Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time. This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.Dynamic data assimilationMathematical modelsSimulation methodsApplied mathematicsMathematical models.Simulation methods.511.8Harkut Dinesh G.1988-NjHacINjHaclBOOK9910424647303321Dynamic Data Assimilation2952332UNINA