easily download and plot NEXRAD weather radar reflectivity data
Project description
Nexrad Quick-plot
Easy Python download and plot NEXRAD compositive reflectivity. Uses the RGB high resolution North American PNG images.
tested with pytest
, flake8
and mypy
type checking.
Install
python -m pip install -e .
Usage
Download NEXRAD data
Get NEXRAD reflectivity data with parallel download:
python download-nexrad.py start stop outdir
example: download from 2018-01-01 to 2018-01-02 to ~/data/nexrad
:
python download-nexrad.py 2018-01-01T00 2018-01-03T00 ~/data/nexrad
Plot NEXRAD reflectivity data
(georegistered via Cartopy)
Plot all data in directory:
python plot-nexrad.py ~/data/nexrad/
Plot a specific file (subplots if multiple files specified):
python plot-nexrad.py ~/data/nexrad/2018-01-01T12:35:00.png
Plot via file glob match:
python plot-nexrad.py ~/data/nexrad/ -pat 2018-01-01T12*.png
Keogram (specify lat or lon and value):
python plot-nexrad.py ~/data/2017-08-21/nexrad/ -keo lat 40
Coordinates
EPSG:4326 coordinates (WGS84) are in .wld files, which are generally the same for wide time spans of data. The .wld format is like:
0.005 (size of pixel in x direction)
0.0 (rotation of row) (Typically zero)
0.0 (rotation of column) (Typically zero)
-0.005 (size of pixel in y direction)
-126.0 (x coordinate of centre of upper left pixel in map units--here it's WGS84 longitude)
50.0 (y coordinate of centre of upper left pixel in map units--here it's WGS84 latitude)
Notes
Mass image downscaling
For initial analysis, the original Nexrad image size of 12200 x 5400 pixels may be too high to complete in a reasonable time. I choose to downsize by a factor of 10, which takes a long time, but is a one-time process.
mkdir orig
cp *.png orig
nice mogrify -scale 10% "*.png"
If you have trouble with this being very slow, try:
MAGICK_TEMPORARY_PATH=/run/shm nice mogrify -scale 10% "*.png"
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