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NAMMA Aircraft Flights from Cape Verde

The NASA African Monsoon Multidisciplinary Analysis (NAMMA) campaign was a field research campaign to study African Easterly waves off the western coast of Africa. A DC-8 aircraft was flown out of the island of Sal, Cape Verde, in August and September 2006, and was outfitted with atmospheric sensors that measured data in this region that could be compared with satellite, balloon, and ground-based sensors to build up a comprehensive picture of the atmosphere in this region. This region is important in that it is one of the primary regions of tropical cyclogenesis, where Atlantic hurricanes form. This animation shows all the flight paths of the DC-8 during this campaign along with the corresponding cloud and satellite data from satellites.

An animation of the NAMMA mission aircraft flights out of Sal, Cape Verde with satellite flight tracks indicated.    An animation of the NAMMA mission aircraft flights out of Sal, Cape Verde with satellite flight tracks indicated.
Duration: 1.5 minutes
Available formats:
  960x540 (29.97 fps) MPEG-4   36 MB
  640x360 (29.97 fps) MPEG-4   20 MB
  1280x720 (29.97 fps) MPEG-4   61 MB
  1280x720 (29.97 fps) Frames
  512x288 (29.97 fps) MPEG-1   31 MB
  320x180     PNG           299 KB
  160x80       PNG           69 KB
  80x40         PNG           17 KB
  320x180 (29.97 fps) MPEG-1   11 GB
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Animation Number:3419
Completed:2007-04-23
Animators:Horace Mitchell (NASA/GSFC) (Lead)
 Greg Shirah (NASA/GSFC)
Scientist:Anthony Guillory (NASA/GSFC Wallops)
Platforms/Sensors/Data Sets:Aqua/MODIS
 Terra/MODIS
 CALIPSO/CALIOP
 CloudSat/CPR
 GOES-12/Imager/Visible
 TRMM/PR and TMI/Monthly Average Precipitation
 CloudSat/CPR/Cloud Cover
Data Collected:2006/08/15 - 2006/09/14
Keywords:
SVS >> HDTV
GCMD >> EARTH SCIENCE >> Spectral/Engineering >> Platform Characteristics >> Airspeed/Ground Speed
GCMD >> EARTH SCIENCE >> Spectral/Engineering >> Platform Characteristics >> Orbital Characteristics
 
 
Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio Additional Credits: NCEP Cloud Composite courtesy of NOAA's Climate Prediction Center.


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