GeoInterpolations

Last night I posted an entry to Google’s KML in Research competition.  The entry features several spatial-temporal datasets related to tracking CO2 that were generated by researchers from NOAA’s ESRL Carbon Cycle Greenhouse Gases group and the University of Michigan’s PUORG group.  The entry showcases how Google Earth can be used to increase understanding of complex datasets that vary in both space and time.

The following screenshot shows a few of the datasets. The LEF Tall Tower located in Wisconsin samples air the has traveled over a wide region, and is sensitive to CO2 release and uptake in regions that the air was beneath the atmospheric boundary layer (green lines).

Update:

A few days after the original deadline (Dec 1, 2008) the contest deadline was moved to February 1, 2009.