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README
NAME:
Neumann et al. 2021
PURPOSE:
Repository of the code used in the academic paper Neumann et al. 2021
REFERENCES:
Blumberg, W. G., K. T. Halbert, T. A. Supinie, P. T. Marsh, R. L. Thompson,
and J. A. Hart, 2017: "SHARPpy: An Open Source Sounding Analysis Toolkit for
the Atmospheric Sciences." Bull. Amer. Meteor. Soc. doi:10.1175/BAMS-D-15-00309.1.
If using the ADPAA in publications, please cite:
Delene, D. J., Airborne Data Processing and Analysis Software Package,
Earth Science Informatics, 4(1), 29-44, 2011,
URL: http://dx.doi.org/10.1007/s12145-010-0061-4, DOI: 10.1007/s12145-010-0061-4.
You are using the Python ARM Radar Toolkit (Py-ART), an open source library for
working with weather radar data. Py-ART is partly supported by the U.S.
Department of Energy as part of the Atmospheric Radiation Measurement (ARM)
Climate Research Facility, an Office of Science user facility.
If you use this software to prepare a publication, please cite:
JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119
DEPENDENCIES:
Python 2.7 and Python 3+
Built-in Python modules: datetime, math, matplotlib, Numpy, os, pylab, sys, time
External Python modules: ADPAA, Basemap, netCDF4, Py-ART, Scipy, SHARPpy
IDL 8.5
NOTES:
The Basemap package is being depreciated in favor of the Cartopy project. See
https://matplotlib.org/basemap/users/intro.html#deprecation-notice for more details.
SUB-DIRECTORIES:
citation_track
Purpose: To create a Python Basemap figure with Citation flight tracks.
macrophysics
Purpose: To plot winds and RH on a horizontal vs height plot.
microphysics
create_boxplots
Purpose: To read in a *.mc3ef.* file and create boxplot images.
fit_gammadist2spectra
Purpose: To read in a spectra distribution from a given file and fit gamma
distributions to the average spectra.
sample_uni_bimodal_spectra
Purpose: Create a sample spectrum plot at 60502 seconds from midnight (sfm) and at
60792 sfm to showcase the difference between unimodal and bimodal spectra
found within the data on 11 May 2011 Citation in-situ flight.
multi_Doppler
Purpose: To read in multi-Doppler analysis files (in NetCDF format) and to plot both a
vertical storm cross-section and a horizontal cross-section in either a one-panel
plot or a three-panel plot, depending on given inputs.
npol
Purpose: Uses the Py-ART module to plot velocity data along the 270 degree azimuth
from NPOL RHI scans taken on 11 May 2011. The script overlays storm-relative
u- wind components using arrows (pyplot's quiver function). Images are saved
to an output file.
radar
Purpose: To use the PyART routine to read in and plot base radar data from multiple radars.
sounding
Purpose: To plot soundings from the SGP site.
surface
Purpose: To objectively analyze irregular surface data and plot the data using a contour
function onto a map of Oklahoma, mask out data that lies outside of the borders
of Oklahoma, and make a 6-panel plot of the data.
