Monitoring Hurricane Matthew

  • Released Monday, January 23, 2017
  • Updated Wednesday, July 17, 2019 at 3:29PM
  • ID: 4543

Hurricane Matthew ravaged the Caribbean and United States from late September to early October 2016. Earth observing satellites provide insights into Matthew's rapid intensification and fast decline. This show was designed for the NASA Hyperwall to be shown at the 2017 American Meteorlogical Society (AMS) Conference. The show highlight's NASA's GPM Core System that works hand-in-hand with numerous other datasets, including model runs.

Global Precipitation Mission (GPM) Goddard PROFiling (GPROF) and Dual-Frequency Precipitation Radar (DPR) data of Hurricane Matthew.

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.

Accumulated IMERG colorbar. Low amounts of accumulated rain are in shades of blue. The highest amounts of rainfall are in yellow and red.

Accumulated IMERG colorbar. Low amounts of accumulated rain are in shades of blue. The highest amounts of rainfall are in yellow and red.

Sea Level Pressure colorbar. The darkest colors represents very low pressure which coincides with the eye of Hurricane Matthew.

Sea Level Pressure colorbar. The darkest colors represents very low pressure which coincides with the eye of Hurricane Matthew.



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio Data provided by the joint NASA/JAXA GPM mission. 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 CompilationNASA/GSFC9/28/2016 - 10/9/2016
GEOS-5 Cubed-Sphere (A.K.A. GEOS-5 Atmospheric Model on the Cubed-Sphere)
ModelNASA GMAO9/28/2016 - 10/9/2016

The model is the GEOS-5 atmospheric model on the cubed-sphere, run at 14-km global resolution for 30-days. GEOS-5 is described here http://gmao.gsfc.nasa.gov/systems/geos5/ and the cubed-sphere work is described here http://sivo.gsfc.nasa.gov/cubedsphere_overview.html.

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GPM Volumetric Precipitation data (A.K.A. Ku) (Collected with the DPR sensor)
Observed DataJAXA9/28/2016 - 10/9/2016

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

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MUR SST (A.K.A. Multi-scale Ultra-high Resolution (MUR) Sea Surface Temperature (SST) Analysis)
AnalysisJPL PO DAAC9/28/2016 - 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.

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NASA-USDA-FAS Soil Moisture (A.K.A. Surface Soil Moisture corrected with SMOS imagery and assimilated by the Ensemble Kalman Filter)
Data CompilationNASA and USDA9/28/2016 - 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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MERRA-2 Winds
Model9/28/2016 - 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.



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