Data Assimilation: Methods, Modeling and Applications - by Brad Scott (Hardcover)
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About this item
Highlights
- Data assimilation is a process where observations from various sources are combined with mathematical models to enhance predictions of a system's behaviour.
- Author(s): Brad Scott
- 232 Pages
- Mathematics, Probability & Statistics
Description
About the Book
Data assimilation is a process where observations from various sources are combined with mathematical models to enhance predictions of a system's behaviour. It integrates real-time data into computer simulations to improve accuracy and reliability. This method is crucial in fields like meteorology and oceanography, where predicting complex systems requires adjusting model states based on actual observations. By blending observational data with model outputs using statistical techniques, data assimilation refines initial conditions and reduces prediction errors. It enables continuous updates of model parameters, enhancing forecasting precision and lead times. In essence, data assimilation bridges the gap between theoretical models and real-world data, ensuring that predictions reflect current conditions more accurately. This book outlines the processes and applications of data assimilation in detail. The topics included in this book on data assimilation are of utmost significance and bound to provide incredible insights to readers. This book is a complete source of knowledge on the present status of this important field.Book Synopsis
Data assimilation is a process where observations from various sources are combined with mathematical models to enhance predictions of a system's behaviour. It integrates real-time data into computer simulations to improve accuracy and reliability. This method is crucial in fields like meteorology and oceanography, where predicting complex systems requires adjusting model states based on actual observations. By blending observational data with model outputs using statistical techniques, data assimilation refines initial conditions and reduces prediction errors. It enables continuous updates of model parameters, enhancing forecasting precision and lead times. In essence, data assimilation bridges the gap between theoretical models and real-world data, ensuring that predictions reflect current conditions more accurately. This book outlines the processes and applications of data assimilation in detail. The topics included in this book on data assimilation are of utmost significance and bound to provide incredible insights to readers. This book is a complete source of knowledge on the present status of this important field.Dimensions (Overall): 9.0 Inches (H) x 6.0 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 232
Genre: Mathematics
Sub-Genre: Probability & Statistics
Publisher: NY Research Press
Theme: General
Format: Hardcover
Author: Brad Scott
Language: English
Street Date: August 25, 2025
TCIN: 1004856850
UPC: 9781647256562
Item Number (DPCI): 247-09-5823
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1 inches length x 6 inches width x 9 inches height
Estimated ship weight: 1 pounds
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