Earth  ID: 12702

Slicing Through Hurricane Matthew

Hurricane Matthew was the most devastating hurricane of the 2016 season and the first Category 5 hurricane in the Atlantic since 2007. The storm swept through the Caribbean and up the southeastern coast of the United States, making landfall in South Carolina on Oct. 8 as a Category 1 storm. The combination of strong storm surge and a foot of rainfall led to widespread and devastating flooding in North and South Carolina. Since the storm, scientists have revisted the data to better understand how hurricanes like Matthew react to different conditions in the ocean and atmosphere. They combined rainfall and rainfall accumulation data from the joint NASA-Japan Global Precipitation Measurement mission satellite with high-resolution sea surface temperature data from NASA's Jet Propulsion Laboratory, soil moisture data from NASA's Soil Moisture Active Passive mission, and wind speeds and a sea surface pressures simulated by computer models. Watch the videos to learn how combining multiple data set lead scientists to a more meaningful picture of Hurricane Matthew.

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Story Credits

Lead Visualizer/Animator:
Alex Kekesi (GST)

Greg Shirah (NASA/GSFC)
Horace Mitchell (NASA/GSFC)
Trent L. Schindler (USRA)
Ernie Wright (USRA)

Lead Producer:
Ryan Fitzgibbons (USRA)

Gail Skofronick Jackson (NASA/GSFC)
Dalia B Kirschbaum (NASA/GSFC)

Lead Scientist:
George Huffman (NASA/GSFC)

Lead Writer:
Ryan Fitzgibbons (USRA)

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

Data provided by the joint NASA/JAXA GPM mission.

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Global Precipitation Measurement (GPM)

Data Used:
Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter
Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) Analysis
GPM/GMI/Surface Precipitation
GEOS-5 Atmospheric Model on the Cubed-Sphere
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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