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# Weather Satellite Imagery: Dual-frequency Precipitation Radar

Preferred citation (DataCite format):
    Girone, Dylan James (2022): Weather Satellite Imagery: 
    Dual-frequency Precipitation Radar. University of Arizona 
    Research Data Repository. Figure.
    https://doi.org/10.25422/azu.data.19709338


Corresponding Author:
  Dylan James Girone, Hydrology and Atmospheric Science, dgirone@email.arizona.edu


License:
  CC BY 4.0 (visualization)
  MIT (MATLAB code)


DOI:
  https://doi.org/10.25422/azu.data.19709338



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## Summary

Cloud structure and composition can be determined by measuring the
reflectivity of a storm. Liquid water reflects light more than ice crystals or
hail so the region of the storm responsible for the most rainfall can be
diagnosed as the region with highest reflectivity. NASA’s Dual-frequency
Precipitation Radar ( **DPR** ) uses microwave imagery to create a composite
3D image of the cloud’s reflectivity in 5-kmx5-km grids every 125m (about
410.1 ft) vertically. The accompanying animation displays that data for the
Eye of Hurricane Ida just before it made landfall in Louisiana on August 29,
2021.



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## Files and Folders

- girone_visualization.ppt: This is a PowerPoint containing the final animated figures and explanations.  
- data_visualization.m: This is the code used to generate the 3-D plot.



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## Materials and Methods

Jennings, Allen (2022). 
Create Video of Rotating 3D Plot.
MATLAB Central File Exchange.
Code. https://www.mathworks.com/matlabcentral/fileexchange/41093-create-video-of-rotating-3d-plot



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## Additional Notes

This item is part of the University of Arizona Libraries 2022 Data Visualization Challenge, which is available here:
https://doi.org/10.25422/azu.data.c.5963184

Links:
  - https://www.mathworks.com/matlabcentral/fileexchange/41093-create-video-of-rotating-3d-plot
  - https://disc.gsfc.nasa.gov/datasets/GPM_2ADPR_06/summary