Studies of vertical wind profiles at Cape Kennedy, Florida Final report
Vertical wind profiles spectral analysis and numerical wind forecasts at Cape Kennedy
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Vertical wind profiles spectral analysis and numerical wind forecasts at Cape Kennedy
Small scale motions and numerical wind profiles forecasting for short periods at Cape Kennedy
Tables for predicting maximum wind speed in space vehicular dynamic pressure region over Cape Kennedy
The prediction of the wind profile maximum speed at Cape Kennedy, Florida, is made for any selected calendar data. The prediction is based on a normal probability distribution model with 15 years of smoothed input data and is static in the sense that no dynamic principles of persistence or synoptic features are considered. Comparison with similar predictions based on 6 years of data shows the same general pattern, but the variability decreased with the increase of sample size.
Low level wind profiles for cape kennedy sep. 23 to 25, 1963
Apollo project - data analysis of daily peak surface wind at Cape Kennedy
Empirical analysis of maximum wind speeds in space vehicular dynamic pressure region over Cape Kennedy for Apollo and AAP launches
Statistical technique for estimating climatologic probability of tropical cyclone induced 35-knot sustained winds at Cape Kennedy
Empirical analysis of 10 to 15 km maximum winds to determine Apollo and AAP launch opportunities, Cape Kennedy, Florida
Peak wind probabilities for atmosphere over Cape Kennedy launching base
Wind vector change with respect to time at Cape Kennedy, Florida, is examined according to the theory of multivariate normality. The joint distribution of the four variables represented by the components of the wind vector at an initial time and after a specified elapsed time is hypothesized to be quadravariate normal; the fourteen statistics of this distribution, calculated from fifteen years of twice daily Rawinsonde data are presented by monthly reference periods for each month from 0 to 27 km. The hypotheses that the wind component changes with respect to time is univariate normal, the joint distribution of wind component changes is bivariate normal, and the modulus of vector wind change is Rayleigh, has been tested by comparison with observed distributions. Statistics of the conditional bivariate normal distributions of vector wind at a future time given the vector wind at an initial time are derived. Wind changes over time periods from one to five hours, calculated from Jimsphere data, are presented.
Scalar and component wind correlations between altitude levels for statistical analysis of wind profiles at Cape Kennedy, Florida, and Santa Monica, California
This paper concerns itself with identifying safety problems associated with launch operations conducted during preparations for manned space flights at Cape Kennedy. This includes transportation and assembly of large space vehicles in the Vehicle Assembly Building, rollout to Launch Pad 39, test, checkout, and the launch countdown. Under these broad categories, the risks of fuel and oxidizer loading, installation of pyrotechnics, and similar hazardous operations are discussed. The many aspects for fire and rescue requirements are examined. These encompass the water deluge systems on the Mobile Service Structure and the Mobile Launcher, the insulated fire and rescue tractor, slide wire escape system, fire proximity suits, self-contained breathing apparatus and emergency cutting tools. In addition, written procedures for tests, emergencies, rescue and backout, as well as certification of personnel and TV monitoring of the launch system are detailed.-
Extreme values, median values, and nine percentile values are tabulated for eight meteorological variables at Cape Kennedy, Florida and at Vandenberg Air Force Base, California. The variables are temperature, relative humidity, station pressure, water vapor pressure, water vapor mixing ratio, density, and enthalpy. For each month eight hours are tabulated, namely, 0100, 0400, 0700, 1000, 1300, 1600, 1900, and 2200 local time. These statistics are intended for general use for the space shuttle design trade-off analysis and are not to be used for specific design values.
Recent Jimsphere/Jimsonde measurements of tropospheric temperature profile spectra in the wavelength band from 50 to 2000 meters above the atmospheric boundary layer, taken over Cape Kennedy, Florida, are summarized. The results suggest that the spectra can be represented in the nondimensional form (omega sub g/sigma sub w)phi(k)/sigma sub T squared = S(K), where phi(k) is the temperature profile spectrum at wave number k, omega sub g is the Brunt-Vasala frequency, sigma sub w and sigma sub T denote the standard deviations of the vertical velocity and temperature profiles, and S is a universal function of nondimensional wave number K = k sigma sub w/omega sub g.
Head-, tail-, and cross-wind component speeds for Cape Kennedy are tabulated for all flight azimuths for altitudes from 0 to 70 kilometers by monthly and annual reference periods. Wind speeds are given for 11 selected percentiles ranging from 0.135 percent to 99.865 percent for each reference period.
A Bayesian analysis of the two discrete probability models, the negative binomial and the modified negative binomial distributions, which have been used to describe thunderstorm activity at Cape Kennedy, Florida, is presented. The Bayesian approach with beta prior distributions is compared to the classical approach which uses a moment method of estimation or a maximum-likelihood method. The accuracy and simplicity of the Bayesian method is demonstrated.
The percentage levels of wind speed differences are presented computed from sequential FPS-16 radar/Jimsphere wind profiles. The results are based on monthly profiles obtained from December 1964 to July 1970 at Cape Kennedy, Florida. The profile sequences contain a series of three to ten Jimspheres released at approximately 1.5-hour intervals. The results given are the persistence analysis of wind speed difference at 1.5-hour intervals to a maximum time interval of 12 hours. The monthly percentage of wind speed differences and the annual percentage of wind speed differences are tabulated. The percentage levels are based on the scalar wind speed changes calculated over an altitude interval of approximately 50 meters and printed out every 25 meters as a function of initial wind speed within each five-kilometer layer from near sea level to 20 km. In addition, analyses were made of the wind speed difference for the 0.2 to 1 km layer as an aid for studies associated with take-off and landing of the space shuttle.