"In this paper, we assess the ability of logistic models to provide a valuable and accurate diagnosis/prediction of persistent contrail occurrence via numerical weather models. Specifically, we evaluate a sample of logistic contrail forecasts based on RUC and ARPS data and observations of contrail occurrence. The value of the contrail prediction models is then discussed in the context of a forecast evaluation theory."
They want us to think that 'persistant contrails' are a normal weather condition as opposed to the truth that they are a man-made experiment for weather control etc.
LINK: http://www-pm.larc.nasa.gov/sass/pub/journals/Duda_Minnis.JAMC.II.09.pdf
Basic Diagnosis and Prediction of Persistent
Contrail Occurrence using High-resolution
Numerical Weather Analyses/Forecasts and
Logistic Regression. Part II: Evaluation of
Sample Models
David P. Duda
National Institute of Aerospace, Hampton, Virginia
National Institute of Aerospace, Hampton, Virginia
Patrick Minnis
Science Directorate, NASA Langley Research Center, Hampton, Virginia
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Science Directorate, NASA Langley Research Center, Hampton, Virginia
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