PyDA: A Hands-On Introduction to Dynamical Data Assimilation with Python

PyDA: A Hands-On Introduction to Dynamical Data Assimilation with Python

Dynamic data assimilation offers a suite of algorithms that merge measurement data with numerical simulations to predict accurate state trajectories. Meteorological centers rely heavily on data assimilation to achieve trustworthy weather forecast. With the advance in measurement systems, as well as...

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Bibliographic Details
Main Authors:	Shady E. Ahmed, Suraj Pawar, Omer San
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Fluids
Subjects:	data assimilation variational and sequential methods Kalman filtering forward sensitivity measurements fusion
Online Access:	https://www.mdpi.com/2311-5521/5/4/225

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