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.
Title/Version
Python AMPR Data Toolkit (PyAMPR) v1.7.1 Last changed 08/07/2019
Lead Author
Timothy Lang
NASA MSFC
timothy.j.lang@nasa.gov
(256) 961-7861
Contributing Authors
Brent Roberts
NASA MSFC
jason.b.roberts@nasa.gov
(256) 961-7477
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).