This week join us to learn about pandas datetime indexes and how to leverage them!
19 August 2019
16 August 2019
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.[Read More]
12 August 2019
This week we learn how to turn human readable place names into lat/lon values with geocoding and how to plot these on maps with SPC storm reports!
05 August 2019