Summer internship poster presentation showcasing contributions to MetPy, a python library for meteorology

1. MetPy can be used to convert ugly
text into beautiful surface maps
What is a METAR?
• METAR is an abbreviation for:
• METeorological
• Aerodrome
• Reports
What information do METARs
contain?
What does the parser do?
Converts the string of text above into
individual values which can be plotted on a
station plot, as shown below.
Maxwell Grover1, Ryan May2, Zachary Bruick2
1 Department of Meteorology, Valparaiso University, Valparaiso, Indiana
2 Unidata, University Corporation for Atmospheric Research, Boulder, Colorado
METAR to Surface
Station Plots:
Transforming Ugly Text into a
Beautiful Map
Special thanks to Unidata, the National
Science Foundation, and the University
Corporation for Atmospheric Research
MMETETPY
KVPZ 262156Z AUTO 17010KT
10SM TSRA CLR 28/16 A3019
RMK AO2 SLP218 T02830161
Station ID: KVPZ
Date: 26th
Time: 2156 Z
Wind Direction/Speed:
10 knots from 170°
Cloud Cover:
Clear
Temperature: 28 °C
Dew Point:: 16 °C
Altimeter Setting:
30.19” Hg
Sample METAR Text
561
SAUS70 KWBC 150000
METAR
KIPJ 142350Z AUTO 25006KT 10SM CLR 31/21
A3008 RMK AO2 T03070210
10334 20307=
Github PageLinkedInMetPy DocumentationExample Notebook
METAR Text File
Taken from the NOAA Port
system, converted to a
single text file
1
Parse METARs
Using a parser generated
from a grammar file,
extract the desired values
3
Format Text and
Convert Units
Convert altimeter value to
sea-level pressure, etc.
5
Generate a Map
Using StationPlot function
in MetPy, create surface
map
7
Text Extraction
Extract METARs from file
and merge METARs that
span multiple lines
2
Generate Dataframe
Collect all information from
METARs and store in a
Pandas Dataframe
4
Filter METARS by
Location
Specify which region (ex.
Louisiana) and spacing
6