Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction: June 1982 (Classic Reprint) - Tapa blanda
Sinopsis
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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This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Reseña del editor
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.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
Reseña del editor
Excerpt from Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction: June 1982
Numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations, in which Initial values are known Incompletely and inaccurately. Observational data available at the Initial time must therefore be supplemented by data available prior to the initial time, a problem known as meteorological data assimilation.
A further complication in NWP is that solutions of the governing equations evolve on two different time scales, a fast one and a slow one, whereas fast scale motions in the atmosphere are not reliably observed. This leads to the so-called initialization problem: initial values must be constrained to result in a slowly evolving forecast.
The theory of estimation of stochastic-dynamic systems provides a natural approach to such problems. For linear stochastic-dynamic models, the Kalman-Bucy (KB) sequential filter is the optimal data assimilation method. We show that, for linear models, the optimal combined data assimilation-initialization method is a modified version of the Kb filter. This modified Kb filter combines the standard Kb filter with a projection onto the slow solution subspace.
The shallow-water equations are a simple system whose solutions exhibit many features of large-scale atmospheric flow important in NWP.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
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Methods of Sequential Estimation for Determining Initial Data in Numerical
Impresión bajo demandaLibrería: Forgotten Books, London, Reino Unido
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Paperback. Condición: 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. Nº de ref. del artículo: 9781332157105_0
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Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction June 1982 Classic Reprint
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332157105
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Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction June 1982 Classic Reprint
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000. Nº de ref. del artículo: LW-9781332157105
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