NASA Studies Hurricane Matthew

  • Released Monday, July 31st, 2017
  • Updated Friday, August 25th, 2023 at 12:08AM
  • ID: 4575

This data visualization follows Hurricane Matthew throughout its destructive run in the Caribbean and Southeast U.S. coast. By utilizing different data sets from NOAA's GOES satellite, NASA/JAXA's GPM, MERRA-2 model runs, IMERG, Goddard's soil moisture product, and sea surface temperatures, scientists are able to put together a clearer picture of how this hurricane quickly intensified and eventually weakened.

Hurricane Matthew was the first Category 5 Atlantic hurricane in almost ten years. Its torrential rains and winds caused significant damage and loss of life as it coursed through the Caribbean and up along the southeastern U.S. coast. Researchers use a combination of satellite observations to re-create a multi-dimensional picture of the hurricane in order to study the complex atmospheric interactions.

Animated time stamp to accompany data visualization of Hurricane Matthew. This is provided for video editors who would like to include accurate date and time information while showing the Hurricane Matthew visualization.

Color bar for frozen precipitation rates (ie, snow rates). Shades of cyan represent low amounts of frozen precipitation, whereas shades of purple represent high amounts of precipitation.

Color bar for frozen precipitation rates (ie, snow rates). Shades of cyan represent low amounts of frozen precipitation, whereas shades of purple represent high amounts of precipitation.

Color bar for liquid precipitation rates (ie, rain rates). Shades of green represent low amounts of liquid precipitation, whereas shades of red represent high amounts of precipitation.

Color bar for liquid precipitation rates (ie, rain rates). Shades of green represent low amounts of liquid precipitation, whereas shades of red represent high amounts of precipitation.



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio. GPM data provided by the joint NASA/JAXA GPM mission.


Missions

This visualization is related to the following missions:

Series

This visualization can be found in the following series:

Datasets used in this visualization

GOES (Collected with the IR4 sensor)
IMERG
Data Compilation NASA/GSFC 9/28/2016 - 10/9/2016
GPM Volumetric Precipitation data (A.K.A. Ku) (Collected with the DPR sensor)
Observed Data JAXA 9/28/2016 - 10/9/2016

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

See more visualizations using this data set
MUR SST (A.K.A. Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) Analysis)
Analysis JPL PO DAAC 9/28/2016 - 10/9/2016
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
NASA-USDA-FAS Soil Moisture (A.K.A. Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter)
Data Compilation NASA and USDA 9/28/2016 - 10/9/2016

The surface soil moisture product is corrected by integrating satellite-derived Soil Moisture Ocean Salinity (SMOS) mission surface soil moisture retrievals into the modified Palmer two-layer soil moisture model. The SMOS imagery helps to correct the modified Pal

See more visualizations using this data set
MERRA-2 Winds
Model 9/28/2016 - 10/9/2016

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.