tjlang / pyampr

Python Advanced Microwave Precipitation Radiometer Data Toolkit (PyAMPR)

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IF YOU ARE USING PYAMPR FOR IPHEX DATA, GO BACK TO THE GHRC SERVER AND GET THE LATEST VERSION OF THE DATASET, AS WE HAVE FIXED THE 37 GHZ CHANNEL A AND B SWAP ISSUE.

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Title/Version

Python AMPR Data Toolkit (PyAMPR) v1.7.1 Last changed 08/07/2019

Lead Author

Timothy Lang
NASA MSFC
[email protected]
[phone]

Contributing Authors

Brent Roberts
NASA MSFC
[email protected]
[phone]

Overview

The Advanced Microwave Precipitation Radiometer (AMPR) is an airborne passive microwave radiometer managed by NASA Marshall Space Flight Center. Download AMPR data from http://ghrc.nsstc.nasa.gov. AMPR brightness temperature data from NASA field projects are in ASCII or netCDF format. This python script defines a class that will read in single file from an individual aircraft flight and pull out timing, brightness temperatures from each channel, geolocation, and other information and store them as attributes using numpy arrays of the appropriate type. The file is read and the data are populated when the class is instantiated with the full path and name of an AMPR file. Numerous visualization methods are provided, including track plots, strip charts, and Google Earth KMZs. In addition, polarization deconvolution is available.

Installation and Use

Dependencies: Python 2.7 thru 3.7, numpy, matplotlib, cartopy, os, time, simplekml, datetime, calendar, codecs, gzip, netCDF4 Most of these are provided with standard Python distributions. You may need to install cartopy via your Python distribution's package manager. The simplekml package can be found here.

In the same directory as this README is setup.py, to install this package enter the following command at the prompt:

python setup.py install

Then to import, in your python program include:

import pyampr

To read an AMPR TB file type:

ampr_data = pyampr.AmprTb('FILE_NAME_HERE', project='PROJECT_NAME_HERE')

Then the ampr_data object will have access to all the plotting and analysis methods. Use help(pyampr.AmprTb) to find out more.

In particular, help(pyampr.AmprTb.read_ampr_tb_level2b) will give a full rundown on the data structure.

A demonstration IPython notebook can be found in the notebooks directory.

A simple interactive testing notebook is available in the test directory.

This conference presentation describes PyAMPR (among other modules).