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The determination of subjective weather observations through the use of an automated array of weather sensors coupled with a decision tree program was examined through analysis of data gathered at the AFGL Weather Test Facility at Otis AFB, Mass. This report describes the instruments used in the array, the response of the instruments to type of weather observed, and the decision tree programs. Preliminary results indicate that a computer-controlled weather sensor array has potential value in determining objectively those types of weather previously relegated to human responsibility.
A study was performed to determine the feasibility of objectively and automatically determining two key components of an aviation weather observation: present weather and obstruction to vision. The automated system utilized was an instrumented tower and surface array of sensors located at the AFGL Weather Test Facility (WTF), Otis AFB, Massachusetts. The objective method consisted of a decision-tree program (AUTO) based on several uniquely different responses by these weather sensors to the same weather phenomena and on discrimination techniques using tower and surface instrument comparison. The ability of AUTO to monitor rapidly changing weather events and to discriminate different types of weather is demonstrated through selected hourly periods of observations taken at 1-min intervals. Hourly observations generated over a 14-month period, March 1978 through April 1979, are compared with FAA observations to determine the effectiveness of AUTO. Major areas of agreement were found in the discrimination of fog, haze, snow, rain, and no weather. Final results show that the FAA observations of the existence and non-existence of obstructions to vision and present weather were duplicated in 82 and 86% of the cases. Thus the acquisition of real weather for an aviation weather observation, a duty presently performed by a human observer, is obtainable through an objective decision-tree program using an automated sensor array. (Author).
Wind data have been analyzed to produce frequencies of occurrence of slant wind shear with respect to surface wind speed, time of day, vertical temperature gradient and wind shear direction differences. Slant wind shear (SWS) is a measurement that more closely approximates the shear encountered by an aircraft on takeoff or landing. It is computed as the wind shear between a higher level wind (in this study, 60 m) and the surface separated by a horizontal distance equivalent to that which an aircraft would traverse in descending or ascending that height. Additional study was also completed on the specification of slant wind shear along the runway through the use of an offset towersurface site system.