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Jess, Edward O. (2011)
Publisher: Co-Action Publishing
Journal: Tellus A
Languages: English
Types: Article
500-mb prognoses computed with a barotropic model from progressively lessening amounts of data, showed increasing statistical differences. These differences also grew with the passage of time. With increasing paucity of data, the smaller meteorological features disappeared, while larger features were smoothed and suffered a change in speed of motion. Random errors, which simulated a natural error source, were added to the data. This appeared to intensify and decelerate the features on the prognostic charts.DOI: 10.1111/j.2153-3490.1960.tb01280.x
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

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    • ELLSAESSEHR. ,W., 1956: Errors in Upper Level Wind Forecasts, AWS Technical Report, No. IOS-140/1, Washington, U.S.A.F., p. 17.
    • FJ0RTOFT, R., 1953: O n the Changes in the Spectral Distribution of Kinetic Energy for Two-Dimensional, Non-Divergent Flow, Tellus, 5, pp. 225-230.
    • PETTEASESN.,, 1957: A Note on Verification of Prognostic Charts, Tellus, 9, pp. 313-31s.
    • PHILLIPSN,. A., 1958: An Example of Non-Linear Computational Instability. To be published in Rossby Memorial Volume.
    • THOMPSONP., D., 1957: Uncertainty of Initial State as a Factor in the Predictability of Large Scale Atmospheric Flow Patterns, Tellus, 9 , pp. 275-295.
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