Earth ID: 4575

NASA Studies Hurricane Matthew

Visualizations by Alex Kekesi Released on July 31, 2017

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

Used Elsewhere In

Visualization Credits

Alex Kekesi (Global Science and Technology, Inc.): Lead Data Visualizer
Greg Shirah (NASA/GSFC): Data Visualizer
Horace Mitchell (NASA/GSFC): Data Visualizer
Trent L. Schindler (USRA): Data Visualizer
Ernie Wright (USRA): Data Visualizer
Gail Skofronick Jackson (NASA/GSFC): Lead Scientist
George Huffman (NASA/GSFC): Lead Scientist
Dalia B Kirschbaum (NASA/GSFC): Lead Scientist
Laurence Schuler (ADNET Systems, Inc.): Technical Support
Ian Jones (ADNET Systems, Inc.): Technical Support
Ryan Fitzgibbons (USRA): Lead Producer

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

Short URL to share this page:
https://svs.gsfc.nasa.gov/4575

Mission:
Global Precipitation Measurement (GPM)

Data Used:

GOES/IR4

9/28/2016 - 10/9/2016

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GPM/GMI/Surface Precipitation also referred to as: Rain Rates

9/28/2016 - 10/9/2016

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

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GPM/DPR/Ku also referred to as: Volumetric Precipitation data

Observed Data - JAXA - 9/28/2016 - 10/9/2016

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

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Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) Analysis also referred to as: MUR SST

Analysis - JPL PO DAAC - 9/28/2016 - 10/9/2016

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also referred to as: IMERG

Data Compilation - NASA/GSFC - 9/28/2016 - 10/9/2016

http://pmm.nasa.gov/sites/default/files/document_files/IMERG_ATBD_V4.4.pdf

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Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter also referred to as: NASA-USDA-FAS Soil Moisture

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

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