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![Using the WSR-88D to Forecast Downburst Winds at Cape Canaveral Air Station and the Kennedy Space Center]( "Using the WSR-88D to Forecast Downburst Winds at Cape Canaveral Air Station and the Kennedy Space Center")
Using the WSR-88D to Forecast Downburst Winds at Cape Canaveral Air Station and the Kennedy Space Center60,99 €![An Evaluation of Microburst Prediction Indices for the Kennedy Space Center and Cape Canaveral Air Station]( "An Evaluation of Microburst Prediction Indices for the Kennedy Space Center and Cape Canaveral Air Station")
An Evaluation of Microburst Prediction Indices for the Kennedy Space Center and Cape Canaveral Air Station60,99 €![Techniques for Forecasting the Cessation of Lightning at Cape Canaveral Air Station and the Kennedy Space Center]( "Techniques for Forecasting the Cessation of Lightning at Cape Canaveral Air Station and the Kennedy Space Center")
Techniques for Forecasting the Cessation of Lightning at Cape Canaveral Air Station and the Kennedy Space Center61,99 €![The Horizontal Extent of Cloud-to-Ground Lightning over the Kennedy Space Center]( "The Horizontal Extent of Cloud-to-Ground Lightning over the Kennedy Space Center")
The Horizontal Extent of Cloud-to-Ground Lightning over the Kennedy Space Center61,99 €![Forecasting Downdraft Wind Speeds Associated with Airmass Thunderstorms for Peterson Air Force Base, Colorado, Using the Wsr-88d]( "Forecasting Downdraft Wind Speeds Associated with Airmass Thunderstorms for Peterson Air Force Base, Colorado, Using the Wsr-88d")
Forecasting Downdraft Wind Speeds Associated with Airmass Thunderstorms for Peterson Air Force Base, Colorado, Using the Wsr-88d60,99 €![A Neural Network Solution to Predicting Wind Speed at Cape Canaveral's Atlas Launch]( "A Neural Network Solution to Predicting Wind Speed at Cape Canaveral's Atlas Launch")
A Neural Network Solution to Predicting Wind Speed at Cape Canaveral's Atlas Launch63,99 €![Predicting Launch Pad Winds at the Kennedy Space Center with a Neural Network Model]( "Predicting Launch Pad Winds at the Kennedy Space Center with a Neural Network Model")
Predicting Launch Pad Winds at the Kennedy Space Center with a Neural Network Model60,99 €
This thesis uses statistical analysis to forecast the probability of meeting or exceeding the maximum allowable wind speeds for each of the launch pads at the Kennedy Space Center (KSC) and Cape Canaveral Air Station (CCAS). Wind data were collected from the Weather Information Network Display System (WINDS), a collection of 47 meteorological towers located throughout KSC and CCAS, over a period of five winters. A Fortran program was written to calculate conditional probabilities of meeting or exceeding a given threshold speed during eight consecutive one-hour periods, using the current wind direction and peak wind speed as inputs. Forecast probabilities were displayed in a table according to time period and wind direction. Accuracy was measured by constructing contingency tables and calculating various measures of accuracy. Results were tested for significance by calculating p-values for the chi-square test. This method was found to have very little skill in forecasting maximum wind speeds. It is not recommended for operational use.
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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.