The Python scripts are for ingesting converted West Texas Mesonet data into useable DataFram objects and for investigating the data either through individual station meteorgrams or through basic surface plotting.

Note that the surface plotting functions are still in a form using basemap v1.0.7, so they will either need to be customized for more current packages or the basemap init may be editted for Python 3 compatability.

West Texas Mesonet

Current West Texas Mesonet data and more information can be found at www.mesonet.ttu.edu

Testing Notebook

The function_tests notebook contains many of the functions in other scripts for dependency testing which can be utilized for python notebook functionality.

Data

The mesonet_sftp.py script can be used to get the raw data for a month from the West Texas Mesonet site after entering your username and password into the script along with the month of interest.

Meteograms

The meso_meteogram.py script plots a single day and station's meteogram including soil temperature and moisture (if soil measurements were taken) when run from the terminal as: python meso_meteogram.py [4 letter station identifier] yymmdd

Surface Plotting

For surface plotting there are two scripts:

*single_meso_surface.py is setup to create only one quick plot as specified in the file for trouble-shooting or plot manipulation.

*meso_surface.py is setup to create single-variable surface plots with wind barbs for a range of times at 5-minute intervals (the most common sampling freqency of the stations) saved in varible-specific folders. The plotted variable and time range are specified in the file.

Configuration and Dependencies

The scripts assume that the mesonet data is stored in a 'raw_data/' folder in the working directory in the original [Station]YYMM.txt file format.

These surface-plotting scripts also use a location.txt file in the working directory downloaded from: http://www.mesonet.ttu.edu/stationfile.htm

They are also currently setup to plot county boundaries which can be found in mpl_toolkits/basemap/data in the basemap package or downloaded from an external source. The current configuration uses the county data in a local UScounties directory.

Original Data Formats

Array 1 (the meteorological array)

Array ID, Julian Day, Time (CST), Station ID, 10 m Scalar Wind Speed (m/s, 5 min (or 1 min) ave of 3 sec samples), 10 m Vector Wind Speed (m/s), 10 m Wind Direction (degrees), 10 m Wind Direction Std (degrees), 10 m Wind Speed Std (m/s), 10 m Gust Wind Speed (m/s), 1.5 m Temperature (C), 9 m Temperature (heat flux), 2 m Temperature (heat flux), 1.5 m Relative Humidity, Station Pressure (in mb minus 600 mb), Rainfall (in), Dewpoint (C), 2 m Wind Speed (m/s), Solar Radiation (W/m^2)

Array 2 (does not exist for all stations)

Array ID, Julian Day, Time (CST), Station ID, 5 cm Natural Soil Temperature (C), 10 cm Natural Soil Temperature (C), 20 cm Natural Soil Temperature (C), 5 cm Bare Soil Temperature (C), 20 cm Bare Soil Temperature (C), 5 cm Water Content (considered %), 20 cm Water Content (considered %), 60 cm Water Content (considered %), 75 cm Water Content (considered %), Leaf Wetness (%), Battery Voltage (V), Program Signature (random)

Old Reese Array (array 3 pre-2006)

Array ID (pre-2006), Julian Day, Time (CST), Station ID, Total Radiation (W/m^2), SPLite Accumulated Radiation (W/m^2), Licor Accumulated Radiation (W/m^2), CM21 Accumulated Radiation (W/m^2), CM3 Accumulated Radiation (W/m^2)

New Reese Array (array 3 post-2009)

Array ID, Julian Day, Time (CST), Station ID, 10 m Scalar Wind Speed 2 (m/s), 10 m Vector Wind Speed 2 (m/s), 10 m Wind Direction 2 (degrees), 10 m Wind Direction Std 2 (degrees), 10 m Wind Speed Std 2 (m/s), 10 m Peak Wind Speed 2 (m/s), 20 ft Wind Speed (m/s), 2 m Wind Speed 2 (m/s)