Excerpt from Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction: June 1982
Improperly chosen initial data lead to spurious fast waves which appearas large, transient errors in the forecast of every meteorological variable. Forecasts of vertical motion, and therefore precipitation forecasts, are particularly affected by the spurious waves.
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Paperback. Condition: New. Print on Demand. This book explores data assimilation and initialization methods in numerical weather prediction. The author begins by detailing estimation theory and its role in assimilation before delving into the two-time-scale behavior of atmospheric solutions and how this behavior affects data assimilation. The book incorporates the mathematical theory of estimation into initialization theory and offers a novel assimilation method that combines the standard Kalman-Bucy filter with a projection onto the model's slow solution subspace. This method is statistically optimal for linear stochastic-dynamic models, making it a valuable tool for data assimilation and initialization in numerical simulations of the atmosphere. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332157105_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332157105
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332157105
Quantity: 15 available