{
    "info": {
        "author": "Tracey Holloway, Jacob Oberman, Peidong Wang",
        "author_email": "taholloway@wisc.edu",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Science/Research",
            "Natural Language :: English",
            "Programming Language :: Python"
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        "description": "===========\nWHIPS 3.1.1\n===========\n\n* **Project Title:** WHIPS\n* **Purpose of Project:** Provide a well-documented, easy-to-use general-purpose processing module for processing satellite data\n* **Version:** 3.1.1 (04/21/19)\n* **Authors:** Tracey Holloway, Jacob Oberman, Peidong Wang\n* **Contact:** taholloway@wisc.edu\n\nWisconsin Horizontal Interpolation Program for Satellites (WHIPS)\n=================================================================\n\nACKNOWLEDGEMENT POLICY\n----------------------\nWhenever you publish research or present results generated with WHIPS,\nplease include the following acknowledgement or an appropriate\nequivalent:\n\n\t*We wish to thank the University of Wisconsin-Madison for the* \n\t*use and development of the Wisconsin Horizontal Interpolation*\n\t*Program for Satellites (WHIPS).  WHIPS was developed by Tracey* \n\t*Holloway, Jacob Oberman and Peidong Wang, with funding from* \n\t*the NASA Air Quality Applied Science Team (AQAST) and* \n\t*the NASA Health and Air Quality Applied Sciences Team (HAQAST).*\n\n\nQUICK START\n-----------\n\n\n1. Install the program and run the built-in test module to confirm\nthat it is working properly.  Installation instructions can be found\nin the WHIPS user guide.\n\n\n2. Download whatever data you plan to process.  Currently, the program\nis designed to process OMI NO2 DOMINO level 2 data, OMI NO2 NASA level\n2 data, MOPITT CO data, NASA MODIS AOD level 2 data, and OMI SO2 level 2 data.  See the \ndetailed documentation for the --filelist argument for locations of data.\n\n\n3. Navigate to the folder where whips.py is located (or add it to\nyour path) and invoke it as:\n\n     whips.py --help\n\n\n4. Follow the on-screen instructions, adding each of the required\nparameters.  If you need help with the projection attributes or the\noutput function attributes, invoke the built-in help as:\n\n     whips.py --AttributeHelp <function_name>\n\nFor detailed explanations of all parameters and attributes, see the\n\"Parameter Details\" section below.\n\n\n5. Invoke whips.py once for each output file you'd like to create.\nNote that the software creates output files with only a single\ntimestep, so you'll need to invoke the command once for each timestep\n(IE if you want a month with timesteps every day, you'll probably want\nto write a shell script that calls the command once for each day)\n\n\n6. Additionally, you may create a grid file for your chosen grid by\nincluding the --includeGrid flag followed by the desired filename.\nA file containing the gridcells used by the projection will be written\nto the same directory as the standard output file.\n\n\n7. Concatenate your outputs if desired (the authors recommend the NCO\noperators at http://nco.sourceforge.net/ if you're using a netCDF\noutput format) and carry on!",
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        "home_page": "https://nelson.wisc.edu/sage/data-and-models/software.php",
        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "WHIPS3",
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        "summary": "Scripts for customized regridding of Level-2 data to Level-3 data",
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