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Damping properties of the implicit- backward integration method
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    "In recent years, considerable attention has been given to the problem of devising optimum methods of utilizing the potentially enormous flow of data from meteorological satellites in operational numerical weather prediction. The unique characteristic of these data is its asynopticity; that is, observations are made not at the standard synoptic times but as the orbiting satellite passes over a particular area of the earth. Such observations are thus distributed both in space and time. Methods for treating data distributed in space have been utilized for many years and are commonly called "objective analysis" methods. With the necessity for incorporating the time dimension, a new phrase has been coined: "four-dimensional data assimilation""--Introduction

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