Calculating Low-Atmosphere Profile and Turbulence Information from Meteorological Sensors Fitted to Battlefield Robotics Systems

摘要

This report describes a new data analysis and interpretation algorithm developed for a precision meteorological sensor that has been fitted to one of the Army Research Laboratory's (ARL) prototype robotics vehicles. The new algorithm provides low-atmosphere profile and turbulence information from the retrieval and analysis of wind speeds, wind directions, air pressure, and temperatures (1 Hz data). The algorithm is at first formulated for data collected over flat terrain at some low reference height above ground. We calculate the small interval (<- 4.5 minute) averages and standard deviations for the wind and temperature fields and apply a simple log-law model to extrapolate wind velocity profile information upward through the sensor. Thus we initiate a coupling of meteorology to robotics for future military applications.