A Numerical Prediction Experiment Involving Data Paucity and Random Errors

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Jess, Edward O. (2011)

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
  • References (12)
    12 references, page 1 of 2

    BERGGRENR.,, 1957: O n the Accuracy of 500 mb Analysis with Reference to Numerical Forecasting. Tellus, 9, pp. 323-340.

    BERGTHOBSSOP.N,,et. als., 1955: Routine Forecasting with the Barotropic Model, Tellus, 7, pp. 272-274.

    BERGTHORSSPO.,ND, ijos, B., 1955: Numerical Weather Map Analyses, Tellus, 7. pp. 329-340.

    BEST,W . H., 1956: Differencesin Numerical Prognoses Resulting from Differences in Analyses, Tellus, 8, PP. 351-356.

    BOLIN,B., 1955: Numerical Forecasting with the Barotropic Model, Tellus, 7, pp. 27-49.

    CONRADV, ., and POLLAKL,. W., 1950: Methods in Climatology, Cambridge; Harvard University Press, 459.

    Doos, B. R., 1956: Automation of 500 mb Forecasts Through Successive Numerical Map Analyses, Tellus, 8, pp. 76-81.

    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.

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