Identification of Atmospheric Gravity Waves with Emphasis on Classification and Characterization

Abstract:

Gravity waves are an important factor in weather and climatological predictions. Studying gravity waves and their physical mechanisms allows for improved weather and climate predictions. In order to better understand both sources and behavior of gravity waves, radiosondes are utilized. Launched from Oklahoma State University Unmanned Aircraft Flight Station, balloon mounted radiosondes collect thermodynamic and kinematic data that can be used to observe the gravity wave phenomena. Data is collected every two seconds and is transmitted to the ground station. Recorded data includes wind direction, wind speed, temperature, pressure, and humidity allowing for a clear atmospheric weather profile while gaining altitude. Using the wind data, algorithms are used to find and categorize gravity waves and their origins from balloon soundings. This study aims at identifying specific formation of gravity wave types to assist in simplifying the detection and categorization process. When gravity waves are detected in the data set, the next action is to determine their cause. Possible sources stemming from the local geography are observed and include, changes in wind due to the jet stream or inclement weather, and temperature variance from twilight or cloud coverage. Additional investigation will be performed to explore the ideal conditions for detecting specific gravity wave types, and to expand resources to include the potential use of solar balloons for prolonged flight through the atmosphere for gravity wave detection and data collection.