The primary task that I completed this summer was adding METAR functionality to MetPy. METAR stands for METeorological Aerodrome Report. METARs contain information about surface data including temperature, dew point, wind speed and direction, and several other meteorological variables. Prior to this summer, MetPy did not have the ability to parse METARs. Also, the current parser that is used to generate netCDF files on the Unidata THREDDS server had a substantial amount of missing data. By adding METAR parsing tools, we made additional surface data available to the user, making it easier to make high quality surface maps using MetPy.
Valparaiso University in Valparaiso, Indiana will be hosting a Unidata Regional Software Training Workshop August 12-13, 2019. Unidata software developers will be leading the two-day Python-focused workshop, which will cover the use of the MetPy and Siphon packages in the context of atmospheric science. A basic familiarity with Python is assumed — check out the Unidata Online Python Training site for a refresher.
Unidata holds regional workshops in part to facilitate easy access to software training for those who may not be able to travel to training workshops held at the Unidata Program Center in Boulder, Colorado. Attendance is explicitly not limited to Valparaiso students and staff; we encourage those within easy travel distance to consider attending.
