AWOT provides a toolkit of utilities to read and visualize weather observation files collected via aircraft platforms.
Package Structure
(Documentation to follow soon!)
io
Input and output of specific data files
In-Situ Flight Data:
* NetCDF
* NASA AMES FFI 1001 format
Remote Sensing:
* Univ. Wyoming Cloud Radar (W-band) Level 2 NetCDF files.
* Univ. of Wyoming Cloud Lidar.
* NOAA P-3/G-IV tail Doppler and lower fuselage radar native radar coordinates.
* NOAA P-3 tail Doppler and lower fuselage radar gridded coordinates produced by the windysn program.
* LATMOS/SAFIRE Falcon NetCDF files which contain both W-band radar and flight information.
* Any surface-based radar file readable with Py-ART.
graph
Produce horizontal or vertical plots. Horizontal plots are overlaid on a Basemap instance and vertical plots are regular 2D plots. Experimental 3D plotting is also provided.
utility
Routines for matching flight track to points in a volume of data, creating radar CFAD diagrams. In addition, a number of helper/conversion routines can be found here.
src
Processing software for NOAA P-3 tail radar data. Work in progress, not operational yet.
How-to
Many examples Jupyter notebooks are provided to familiarize yourself with AWOT.
Installation
The latest source code for AWOT can be obtained from the GitHub repository, https://github.com/nguy/AWOT.
Either download and unpack the zip file of the source code or use git to checkout the repository
git clone https://github.com/nguy/AWOT
To install in your home directory, use:
python setup.py install --user
To install for all users on Unix/Linux:
python setup.py build
sudo python setup.py install
Dependencies are listed in the README at the code repository
AWOT is developed on MacOSX 10.9 - 10.10.5 using Python 2.7, though it should be Python 3 compliant.
Contributors
Nick Guy
Timothy Lang
Andrew Lyons