AbstractMapping and Animating Air Masses with Python and ArcObjectsTrack: Atmosphere, Climate, and Weather Author This presentation will describe algorithms that are used to produce daily maps and animations of meteorological air masses. The maps are based on the Spatial Synoptic Classification (SSC), an air mass identification scheme which classifies the observations from a weather station into one of seven air mass categories (e.g., Dry Polar, Moist Tropical, etc.). Over 400 stations across the US, Canada and Western Europe are categorized daily. In addition, historical air mass calendars dating back to the 1940s have been created for these stations. A spatial interpolation algorithm (written in Python) is used to generate air mass polygon maps from the raw station designations. Maps of current weather are produced daily and published online. The website also provides access to maps covering the entire period of record. The presentation will also discuss efforts to automate the animation of the air mass maps through 'tweening' using ArcObjects. James Detwiler Penn State University 2217 EES Bldg University Park, Pennsylvania 16802 United States Phone: 8148809258 E-mail: detwiler@ems.psu.edu |