https://github.com/nasa/DualPol

Python Interface to Dual-Pol Radar Algorithms (DualPol)
https://github.com/nasa/DualPol

Last synced: 3 months ago
JSON representation

Python Interface to Dual-Pol Radar Algorithms (DualPol)

• Host: GitHub
• URL: https://github.com/nasa/DualPol
• Owner: nasa
• License: other
• Created: 2015-07-02T03:33:08.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2019-03-07T15:53:26.000Z (over 5 years ago)
• Last Synced: 2024-06-21T18:10:11.421Z (5 months ago)
• Language: Jupyter Notebook
• Size: 4.22 MB
• Stars: 41
• Watchers: 10
• Forks: 38
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • License: LICENSE.md

Awesome Lists containing this project

• awesome-atmos - SingleDop

README

        
DualPol README

--------------

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 Installation

--------------------

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.](https://store.continuum.io/cshop/anaconda/)

- [The Python Atmospheric Radiation Measurement (ARM) Radar Toolkit (Py-ART)](https://github.com/ARM-DOE/pyart)

- [CSU_RadarTools](https://github.com/CSU-Radarmet/CSU_RadarTools)

- [SkewT](https://pypi.python.org/pypi/SkewT) - a Python 3 version can be found [here.](https://github.com/tjlang/SkewT)

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)

```

Using DualPol

-------------

To access everything:

```

import dualpol

```

A demonstration notebook is in the notebooks directory.

Release info:

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2585820.svg)](https://doi.org/10.5281/zenodo.2585820)