GEOS-5 Nature Run Collection

  • Released Thursday, March 7, 2013
  • Updated Monday, May 1, 2017 at 4:37PM
  • ID: 30017

Through numerical experiments that simulate the dynamical and physical processes governing weather and climate variability of Earth's atmosphere, models create a dynamic portrait of our planet. This 10-kilometer global mesoscale simulation (Nature Run) using the NASA Goddard Earth Observing System Model (GEOS-5) explores the evolution of surface temperatures as the sun heats the Earth and fuels cloud formation in the tropics and along baroclinic zones; the presence of water vapor and precipitation within these global weather patterns; the dispersion of global aerosols from dust, biomass burning, fossil fuel emissions, and volcanoes; and the winds that transport these aerosols from the surface to upper-levels.

The full GEOS-5 simulation covered 2 years—from May 2005 to May 2007. It ran on 3,750 processors of the Discover supercomputer at the NASA Center for Climate Simulation, consuming 3 million processor hours and producing over 400 terabytes of data.

GEOS-5 development is funded by NASA's Modeling, Analysis, and Prediction Program.

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Please give credit for this item to:
NASA/Goddard Space Flight Center

Model data processing provided by Discover supercomputer, NASA Center for Climate Simulation


This visualization is related to the following missions:


This visualization can be found in the following series:

Datasets used in this visualization

Terra and Aqua (Collected with the MODIS sensor)
GEOS-5 Cubed-Sphere (A.K.A. GEOS-5 Atmospheric Model on the Cubed-Sphere)
ModelNASA GMAO05/01/2005 04/30/2007

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 and the cubed-sphere work is described here

See more visualizations using this data set
GOCART (A.K.A. Goddard Chemistry Aerosol and Transport (GOCART) )
ModelNASA/GSFC08/17/2006 04/10/2007

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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