This is an object-oriented Python module that facilitates precipitation retrievals (e.g., hydrometeor type, precipitation rate, precipitation mass, particle size distribution information) from polarimetric radar data. It leverages existing open source radar software packages to perform all-in-one QC and retrievals that are then easily visualized or saved using existing software.

DualPol works under Python 2.7 and 3.4-3.6 on most Mac/Linux setups. Windows installation and other Python versions are currently untested.

In the main source directory:
python setup.py install

The following dependencies need to be installed first:

• A robust version of Python 2.7 or 3.4-3.6 w/ most standard scientific packages (e.g., numpy, matplotlib, pandas, etc.) - Get one for free here.
• The Python Atmospheric Radiation Measurement (ARM) Radar Toolkit (Py-ART)
• CSU_RadarTools
• SkewT - a Python 3 version can be found here.

Specific import calls in the DualPol source code:

from __future__ import print_function
import numpy as np
import warnings
import time
import pyart
import matplotlib.colors as colors
from pyart.io.common import radar_coords_to_cart
from skewt import SkewT
from csu_radartools import (csu_fhc, csu_liquid_ice_mass, csu_blended_rain,
                            csu_dsd, csu_kdp)

To access everything:

import dualpol

A demonstration notebook is in the notebooks directory.

Release info: