"We can't yet tell if the number of cyclones is increasing or decreasing, because that would take a multi-decade view. We do know that, since 2000, there have been a lot of rapid changes in the Arctic Greenland ice melting, tundra thawing so we can say that we're capturing a good view of what's happening in the Arctic during the current time of rapid changes," Bromwich said.
Bromwich leads the Arctic System Reanalysis (ASR) collaboration, which uses statistics and computer algorithms to combine and re-examine diverse sources of historical weather information, such as satellite imagery, weather balloons, buoys and weather stations on the ground. ASR provides researchers with high-resolution information against which researchers can validate climate prediction tools.
"There is actually so much information, it's hard to know what to do with it all. Each piece of data tells a different part of the story temperature, air pressure, wind and we try to take all of these data and blend them together in a coherent way," Bromwich said.
To generate the complex visualizations, the ASR group accessed thousands of cores on OSC's HP-Intel Xeon "Oakley Cluster" and IBM 1350 Opteron "Glenn Cluster" over the last few years to run the complex Polar Weather Research and Forecasting model (Polar WRF). Polar WRF was created by the Polar Meteorology Group of the Byrd Polar Research Center at Ohio State and is a modification of the Weather Research and Forecasting model widely used by researchers and most federal agencies.
The ASR group analyzed 17 surface variables, 71 forecast surface variables, 13 forecast upper air variables and 3 soil variables. The data accumulated for and generated by the model filled hundreds of terabytes of d
|Contact: Jamie Abel|
Ohio Supercomputer Center