Oak Ridge National Laboratory - National Center for Computational Sciences - Scientific Computing Group



CCSM3 T341 - TMQ (Water Vapor) / Landscan - JAN and JUL Comparison - Himalayan Watershed Study

The proper simulation of the distribution of water vapor in the climate system is essential to the accurate treatment of the hydrological cycle and the planetary radiation budget. These images show the simulated January and July instantaneous distribution of the total column water vapor from a high-resolution configuration of the CCSM Community Atmospheric Model.

The LandScan Dataset comprises a worldwide population database compiled on a 30" X 30" latitude/longitude grid. LandScan has been developed as part of the Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.

During the winter months, a large amount of snow is deposited on the Himalayan slopes forming the largest water resources in northern India. The continuous melting of this snow feeds the north Indian rivers. During winter, heavy snowfall covers 80 to 90 percent of the Himalayan watershed. During the summer season, only 10 percent of the watershed is covered by snow. Current research is concerned with how climate change may affect heavily populated areas that are dependent on this perennial cycle.



Jamison Daniel
Title:
CCSM3 T341 - TMQ (Water Vapor) / Landscan - JAN and JUL Comparison - Himalayan Watershed Study .
Description: During the winter months, a large amount of snow is deposited on the Himalayan slopes forming the largest water resources in northern India. The continuous melting of this snow feeds the north Indian rivers. During winter, heavy snowfall covers 80 to 90 percent of the Himalayan watershed. During the summer season, only 10 percent of the watershed is covered by snow. Current research is concerned with how climate change may affect heavily populated areas that are dependent on this perennial cycle.
The LandScan Dataset comprises a worldwide population database compiled on a 30" X 30" latitude/longitude grid. LandScan has been developed as part of the Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.
The proper simulation of the distribution of water vapor in the climate system is essential to the accurate treatment of the hydrological cycle and the planetary radiation budget. These images show the simulated January and July instantaneous distribution of the total column water vapor from a high-resolution configuration of the CCSM Community Atmospheric Model.
Visualization Credit: Jamison Daniel, Mike Matheson, and Eddie Bright.
Download Alternative Format: 1920x1080, H.264, MPEG-4, 24 FPS


Jamison Daniel
Title:
ZOOMED - CCSM3 T341 - TMQ (Water Vapor) / Landscan - JAN and JUL Comparison - Himalayan Watershed Study.
Description: During the winter months, a large amount of snow is deposited on the Himalayan slopes forming the largest water resources in northern India. The continuous melting of this snow feeds the north Indian rivers. During winter, heavy snowfall covers 80 to 90 percent of the Himalayan watershed. During the summer season, only 10 percent of the watershed is covered by snow. Current research is concerned with how climate change may affect heavily populated areas that are dependent on this perennial cycle.
The LandScan Dataset comprises a worldwide population database compiled on a 30" X 30" latitude/longitude grid. LandScan has been developed as part of the Oak Ridge National Laboratory (ORNL) Global Population Project for estimating ambient populations at risk.
The proper simulation of the distribution of water vapor in the climate system is essential to the accurate treatment of the hydrological cycle and the planetary radiation budget. These images show the simulated January and July instantaneous distribution of the total column water vapor from a high-resolution configuration of the CCSM Community Atmospheric Model.
Visualization Credit: Jamison Daniel, Mike Matheson, and Eddie Bright.
Download Alternative Format: 1920x1080, H.264, MPEG-4, 24 FPS






Animation
Format: MPEG-1
Resolutions: 1920x1080 (Blu-Ray) (73 MB), 720x480 (DVD) (36 MB)
Length: 60 seconds
Notes: This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water.

The LandScan data resolution is 30 arc seconds. The coordinates are Geographic WGS84. The LandScan dataset shown in the visualization is LandScan 2005.

* This visualization was rendered at a native resolution of 3840x3072. This resolution is suitable for playback on the ORNL EVEREST powerwall. These original uncompressed frames are available upon request.




Animation
Format: MPEG-1
Resolutions: 720x480 (DVD) (6 MB)
Length: 26 seconds
Notes:
JANUARY
This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water.



Animation
Format: MPEG-1
Resolutions: 720x480 (DVD) (6 MB)
Length: 26 seconds
Notes:
JULY
This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water.



Static Image
Format: PNG
Resolutions: 2000x1169 (1.9MB)
Notes: This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water. The LandScan data resolution is 30 arc seconds. The coordinates are Geographic WGS84. The LandScan dataset shown in the visualization is LandScan 2005.





Static Image
Format: PNG
Resolutions: 2000x1169 (1.9MB)
Notes: This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water. The LandScan data resolution is 30 arc seconds. The coordinates are Geographic WGS84. The LandScan dataset shown in the visualization is LandScan 2005.





Static Image
Format: PNG
Resolutions: 1500x1425 (1.8MB)
Notes: This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water. The LandScan data resolution is 30 arc seconds. The coordinates are Geographic WGS84. The LandScan dataset shown in the visualization is LandScan 2005.





Static Image
Format: PNG
Resolutions: 1500x1425 (1.8MB)
Notes: This visualization uses the new 'track 1' configuration of CAM4, tag 3.6.55, for the preindustrial 1850 period, with the T341 truncation spectral dynamic core, which is about a 37km resolution. This configuration is currently under development by climate scientists at ORNL and NCAR in order to better understand the effects of resolution on climate change. The white field represents hourly instantaneous column integrated total precipitable water. The LandScan data resolution is 30 arc seconds. The coordinates are Geographic WGS84. The LandScan dataset shown in the visualization is LandScan 2005.

Visualizations by Jamison Daniel - d65@ornl.gov - 865-576-5823