Title: Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction: June 1982 (Classic Reprint)
Publisher: Forgotten Books
Publication Date: 2019
Language: English
ISBN 10: 0267854781
ISBN 13: 9780267854783
Binding: HRD
Condition: New
Weight: 495 grams

About this title

Synopsis

Improve weather forecasts by blending observations with models to create slowly evolving initial data.

This work applies estimation theory to numerical weather prediction, focusing on how to initialize forecasts so they evolve gradually. It compares standard data assimilation methods with a modified Kalman-Bucy approach that restricts updates to a slow-wave subspace, reducing fast, spurious disturbances.

Readers will see how projection techniques and careful weighting affect the assimilation process, and how different choices influence forecast quality over land and sea. The material blends theory with practical experiments on simple linear models to illustrate initialization and data assimilation in a clear, accessible way.

Discover the basics of data assimilation, initialization, and the role of stochastic dynamics in weather models.
Understand how the Kalman-Bucy filter works and why a modified version can yield slower, more stable forecasts.
Learn about projection onto slow-wave subspaces and how this shapes update rules at observation times.
Explore how different weighting choices impact the balance between model.run forecasts and observations.

Ideal for readers of introductory data assimilation and numerical weather prediction, or anyone seeking a practical look at initialization methods in atmospheric science.

"About this title" may belong to another edition of this title.

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