This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description
  • Project Title: WHIPS 2.0.0
  • Purpose of Project: Provide a well-documented, easy-to-use general-purpose processing module for processing satellite data
  • Version: 2.0.0 (11/21/14)
  • Authors: oberman, maki, strom, jin, holloway
  • Contact:

Wisconsin Horizontal Interpolation Program for Satellites (WHIPS)


Whenever you publish research or present results generated with WHIPS, please include the following acknowledgement or an appropriate equivalent:

We wish to thank the University of Wisconsin–Madison for the use and development of the Wisconsin Horizontal Interpolation Program for Satellites (WHIPS). WHIPS was developed by Jacob Oberman, Erica Scotty, Keith Maki, Xiaomeng Jin and Tracey Holloway, with funding from the NASA Air Quality Applied Science Team (AQAST) and the Wisconsin Space Grant Consortium Undergraduate Award.


1. Install the program and run the built-in test module to confirm that it is working properly. Installation instructions can be found in the file INSTALL.txt

2. Download whatever data you plan to process. Currently, the program is designed to process OMI NO2 DOMINO level 2 data, OMI NO2 NASA level 2 data, OMI HCHO level 2 data MOPITT CO data, and NASA MODIS AOD level 2 data. See the detailed documentation for the –filelist argument for locations of data.

3. Navigate to the folder where is located (or add it to your path) and invoke it as: –help

4. Follow the on-screen instructions, adding each of the required parameters. If you need help with the projection attributes or the output function attributes, invoke the built-in help as: –AttributeHelp <function_name>

For detailed explanations of all parameters and attributes, see the “Parameter Details” section below.

5. Invoke once for each output file you’d like to create. Note that the software creates output files with only a single timestep, so you’ll need to invoke the command once for each timestep (IE if you want a month with timesteps every day, you’ll probably want to write a shell script that calls the command once for each day)

6. Additionally, you may create a grid file for your chosen grid by including the –includeGrid flag followed by the desired filename. A file containing the gridcells used by the projection will be written to the same directory as the standard output file.

7. Concatenate your outputs if desired (the authors recommend the NCO operators at if you’re using a netCDF output format) and carry on!

Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
WHIPS2-2.0.0-py2.7.egg (218.5 kB) Copy SHA256 Checksum SHA256 2.7 Egg Nov 21, 2014
WHIPS2-2.0.0.tar.gz (89.6 kB) Copy SHA256 Checksum SHA256 Source Nov 21, 2014

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