Marshall MRMS Mosaic Python Toolkit#
The National Oceanic and Atmospheric Administration (NOAA) regularly produces national 3D radar reflectivity mosaics via its Multi-Radar/Multi-Sensor (MRMS) system. These mosaics are wonderful for storm and precipitation analysis and research, but they are distributed in odd formats that NOAA is ever changing. Sometimes you just want to read a file and make a plot! This is what MMM-Py is for. With it, you can read any version of the MRMS radar mosaics, past or present, and you can analyze, plot, subsection, and output custom mosaics of your own, which MMM-Py can ingest later. MMM-Py is free and open source. It is capable of producing publication-ready figures and analyses, but it also can do quicklook plots so you can check out the cool storm that just happened.
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NASA Open Source 3.0
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For more info about the latest version of MRMS, see: https://docs.google.com/document/d/1LeVcn_taIXZgzZb5JgWqaVr0xVs7GmA6RpHcb8ZGiwk/edit
MMM-Py works under Python 2.x on most Mac/Linux setups. Windows installation is currently untested.
Put mmmpy.py in your PYTHONPATH
You’ll need the following Python packages. Most are easily obtained or already installed with common Python frameworks such as Anaconda (http://continuum.io/downloads): numpy, matplotlib, scipy, netCDF4, os, Basemap, struct, time, calendar, gzip
Get MRMS-modified wgrib2 package from here ftp://ftp.nssl.noaa.gov/projects/MRMS/GRIB2_DECODERS/MRMS_modified_wgrib2_v2.0.1-selectfiles.tgz
Install wgrib2 and note the path to it. Modify the BASE_PATH, TMPDIR, WGRIB2_PATH, and WGRIB2_NAME global variables in mmmpy.py as necessary. TMPDIR is where intermediate netCDFs created by wgrib2 will go.
Without wgrib2 MMM-Py can still read legacy MRMS binaries and netCDFs.
To access everything: import mmmpy
To see MMM-Py in action, check out the IPython notebooks provided in this distribution.
The following conference presentation discusses MMM-Py (among other modules): https://ams.confex.com/ams/95Annual/webprogram/Paper262779.html
MMM-Py was developed at the NASA Marshall Space Flight Center by Timothy Lang (firstname.lastname@example.org)
See LICENSE file for NASA open source license information.
Lang, T. J., Python-based scientific analysis and visualization of precipitation systems at NASA Marshall Space Flight Center. 5th Symposium on Advances in Modeling and Analysis Using Python, American Meteorological Society, Phoenix, AZ. (available online at https://ams.confex.com/ams/95Annual/webprogram/Paper262779.html); 2. Lang, T. J., S. A. Cummer, D. Petersen, L. Flores-Rivera, W. A. Lyons, D. R. MacGorman, and W. Beasley (2015), Large charge moment change lightning in the El Reno tornadic storm system, J. Geophys. Res. Atmos., Accepted.