Monitoring Hurricane Matthew

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

This example visualization shows how all of the below data visualizations could be arranged on NASA's 3x3 hyperwall display.

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.

NOAA Climate Prediction Center (CPC) Infrared Cloud Cover of Hurricane Matthew.

Integrated Multi-satellitE Retrievals for GPM (IMERG) precipitation from Hurricane Matthew.

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.

JPL Multi-Scale Ultra-high Resolution (MUR) Sea Surface Temperature data during Hurricane Matthew.

Sea Surface Temperature colorbar.

Sea Surface Temperature colorbar.

Accumulated IMERG precipitation of Hurricane Matthew.

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.

NASA/Goddard Soil Moisture Anomaly from Hurricane Matthew.

Soil Moisture Anomaly colorbar.

Soil Moisture Anomaly colorbar.

Goddard Earth Observing System Model, Version 5 (GEOS-5) Sea Level Pressure during Hurricane Matthew.

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.

GEOS-5 Surface Wind Speeds of Hurricane Matthew.

Surface Wind Speed colorbar.

Surface Wind Speed colorbar.

GEOS-5 winds of Hurricane Matthew.

Wind height colorbar.

Wind height colorbar.



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)
GEOS-5 Cubed-Sphere (A.K.A. GEOS-5 Atmospheric Model on the Cubed-Sphere)
Model | NASA GMAO

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 Data | JAXA

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)
Analysis | JPL PO DAAC
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 Compilation | NASA and USDA

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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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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