1 00:00:01,000 --> 00:00:03,233 What you’re seeing here is a model, 2 00:00:03,500 --> 00:00:07,066 specifically of carbon dioxide moving through the atmosphere, 3 00:00:07,633 --> 00:00:10,633 driven by wind patterns and circulation. 4 00:00:12,133 --> 00:00:14,966 To create this model, billions of data points, 5 00:00:14,966 --> 00:00:18,766 informed by data collected from satellite and ground-based measurements, 6 00:00:19,033 --> 00:00:22,200 were run through powerful supercomputers to scale 7 00:00:22,200 --> 00:00:25,200 observed behavior to a global stage. 8 00:00:25,433 --> 00:00:30,033 What makes this model stand out is that it's super high resolution, 9 00:00:30,633 --> 00:00:34,000 128 times higher than a typical weather model 10 00:00:34,066 --> 00:00:38,366 and 500 times higher resolution than a typical climate model. 11 00:00:38,966 --> 00:00:43,800 This means we could focus on individual points like power plants and forest fires, 12 00:00:44,033 --> 00:00:49,066 and see, in extreme detail, how these plumes move and get mixed in the atmosphere. 13 00:00:50,166 --> 00:00:52,633 Now, why is this important? 14 00:00:52,666 --> 00:00:55,766 Because by creating these high resolution models, 15 00:00:55,766 --> 00:01:01,133 NASA scientists are able to better understand the behavior of Earth's interconnected systems, 16 00:01:01,333 --> 00:01:05,200 like how plumes of CO2 interact and spread with weather systems. 17 00:01:06,366 --> 00:01:09,066 For instance, you can clearly see the impact 18 00:01:09,066 --> 00:01:12,066 the day-night cycles have on CO2 emissions. 19 00:01:12,133 --> 00:01:15,566 This is due to daily fluctuations in human activities, 20 00:01:15,566 --> 00:01:20,100 cycles of photosynthesis, and fires flaring up and dying down. 21 00:01:22,600 --> 00:01:25,266 Our ability to run such a simulation 22 00:01:25,266 --> 00:01:29,433 allows us to see how individual data points influence the larger picture.