Open access peer-reviewed Edited Volume

Dynamic Data Assimilation - Beating the Uncertainties

Dr. Dinesh G. Harkut

Sant Gadge Baba Amravati University


Ensemble Kalman Filter Machine Learning Data Mining Constraint Variational Methods Markovian Processes Ensemble Filters Convolutional Neural Network Multilayer Perceptrons Interpolation Parameterization Spatial Statistics Bayesian Statistics Probability Distribution Function

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About the book

Data assimilation (DA) is the process of updating model forecasts with information from the observations of complete or incomplete state variables. The objective is to develop an improved model that better represents the dynamical system. Conventional methods for assimilation include Kalman filters and variational approaches which allow for problems with uneven spatial and temporal data distribution and redundancy to be addressed in a way that models can ingest information. However, because these methods rely on Gaussian assumptions, performance is severely degraded when the prior facts are described in terms of complex distributions and based on unrealistic assumptions, particularly linearity, normality. Application of artificial neural networks (ANN) and machine learning (ML) can be exploited to forecast and to some extent, learn the dynamics of a model from its output and to obtain the initial condition precisely.

The book primarily addresses the student's needs in the field of data assimilation. It is intended to provide the reader with a comprehensive overview of the subject, from basic principles to advanced state-of-the-art in the interdisciplinary field of data assimilation. It is compiled in a pedagogical way to become a reference book for researchers interested in the application of advanced analytical tools, deep learning, ANN in data assimilation implementation, data analytics, machine learning, and decision support systems.

Publishing process

Book initiated and editor appointed

Date completed: November 12th 2019

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline Extended: Open for Submissions

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

Approved chapters written in full and submitted

Deadline for full chapters: May 11th 2020

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: July 30th 2020

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: September 28th 2020

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About the editor

Dr. Dinesh G. Harkut

Sant Gadge Baba Amravati University

Dinesh G. Harkut is currently working as an Associate Professor at PRMCEAM, Badnera, India in Computers Science & Engineering department. He has obtained his Bachelors, Masters of Engineering Degree (CSE) and his Ph.D. (CSE) from SGBAU Amravati University, Maharashtra, India. He has also obtained a Masters Degree and Ph.D. in Business Administration. His primary research interests are in computer AI, Big Data, Analytics, Embedded Systems, e-commerce. He supervised around 18 Masters Degree and 24 Bachelors Degree Students. He has published 46 papers in refereed journals and published 05 books and 04 chapters with international publishers. He is having 02 patents filed and published in his name in India and has organized various Workshops, Sessions, Conferences, and Trainings. He is the principal investigator in setting the center of excellence of renowned technological giants like IBM, Oracle, Texas Instrument, and Huawei at PRMCEAM and establishing industry-funded laboratories from ARM, Cypress Semiconductor, Intel FPGA, Wind River, and Xilinx fetched a grant in the tune of Rs. 351.32 lacs. Dr. Harkut is a Fellow member of the Institute of Electronics & Telecommunication Engineering (IETE), New Delhi, a Life member of Indian Society for Technical Education (ISTE), New Delhi, a Senior Member of Universal Association of Computer and Electronics Engineers (UACEE) USA, and a Professional member of the International Association of Engineers (IAENG), Hong Kong.

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Book chapters authored 1

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