Inside Hurricane Maria in 360°

  • Released Thursday, October 4, 2018
  • Updated Tuesday, September 17, 2019 at 2:40PM
  • ID: 4685



Tour Hurricane Maria in a whole new way! Late on September 17, 2017 (10:08 p.m. EDT) Category 1 Hurricane Maria was strengthening in the Atlantic Ocean when the Global Precipitation Measurement (GPM) mission's Core Observatory flew over it. The Dual Frequency Precipitation Radar, measuring in a narrow band over the storm center, shows 3-D estimates of rain, with snow at higher altitudes. The tall "hot towers" characteristic of deepening hurricanes are actually topped by snow! Surface rainfall rates estimated by the GPM Microwave Imager paint the surface over a wider swath. During the tour, you'll see the radar-observed rain intensities displayed three different ways in various parts of the storm. Then, for the first time you'll see estimates of the precipitation particle sizes, which the GPM DPR is uniquely capable of showing, and which provide important insights into storm processes.

GPM is a joint mission between NASA and the Japanese space agency JAXA.

A set of smoothly animated viewing directions were chosen to show a portion of this 360 movie.

Example of 360 video playback of Hurricane Maria 360. In this example, the view is moved around looking at various locations within the scene. You should try this on your own and choose you own views!



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio


Missions

This visualization is related to the following missions:

Series

This visualization can be found in the following series:

Datasets used in this visualization

GPM Volumetric Precipitation data (A.K.A. Ku) (Collected with the DPR sensor)
Observed Data | JAXA

Credit: Data provided by the joint NASA/JAXA GPM mission.

See more visualizations using this data set
GPM Rain Rates (A.K.A. Surface Precipitation) (Collected with the GMI sensor)

Credit: Data provided by the joint NASA/JAXA GPM mission.

See more visualizations using this data set

Note: While we identify the data sets used in these visualizations, we do not store any further details nor the data sets themselves on our site.



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