Media Information

 
 
 
Collection:
NASA Scientific Visualization Studio Collection
Title:
MODIS Data May Aid EPA Air Quality Predictions (Wide)
Instrument:
Aqua/MODIS
Instrument:
Terra/MODIS
Description:
Air quality from EPA and MODIS on 11 September 2003
Abstract:
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations; however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy.

In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a wide area of the United States.

This animation was inspired by a similar animation created at the Langley Research Center.
Completed:
2004-06-14
Credit:
*Please give credit for this visualization to*
NASA/Goddard Space Flight Center
Scientific Visualization Studio
Studio:
SVS
Animator:
Greg Shirah (Lead)
Animator:
Lori Perkins
Scientist:
Lawrence Friedl (NASA/HQ)
Series:
Air Quality
Data Collected:
MODIS: 2004/09/01 - 2004/09/15, EPA: 2003/09/01-2003/09/1 5
Keywords:
GCMD
Keywords:
EARTH SCIENCE
Keywords:
Atmosphere
Keywords:
Air Quality
facet_where:
Goddard Space Flight Center
facet_where:
Earth
facet_where:
United States
facet_where:
Langley Research Center
facet_when:
September 2003
facet_when:
11 September 2003
facet_what:
Earth
facet_what:
Aqua
facet_what:
Terra
facet_when_year:
2003
Animation Number:
2998
UID:
SPD-SCIVS-http://svs .gsfc.nasa.gov/vis/a 000000/a002900/a0029 98/airQual_wideSTILL .0630-IMAGE
original url:

MODIS Data May Aid EPA Air Quality Predictions (Wide)