1 00:00:00,000 --> 00:00:01,900 [MUSIC] 2 00:00:01,900 --> 00:00:04,133 What you’re seeing here is a model, 3 00:00:04,366 --> 00:00:07,933 specifically of carbon dioxide moving through the atmosphere, 4 00:00:08,333 --> 00:00:11,333 driven by wind patterns and circulation. 5 00:00:12,833 --> 00:00:15,666 To create this model, billions of data points, 6 00:00:15,666 --> 00:00:19,466 informed by data collected from satellite and ground-based measurements, 7 00:00:19,733 --> 00:00:22,900 Were run through powerful supercomputers to scale 8 00:00:22,900 --> 00:00:25,900 observed behavior to a global stage. 9 00:00:26,333 --> 00:00:30,933 What makes this model stand out is that it's super high resolution, 10 00:00:31,333 --> 00:00:34,700 128 times higher than a typical weather model 11 00:00:34,766 --> 00:00:39,066 and 500 times higher resolution than a typical climate model. 12 00:00:39,666 --> 00:00:44,500 This means we could focus on individual points like power plants and forest fires, 13 00:00:44,733 --> 00:00:49,766 and see, in extreme detail, how these plumes move and get mixed in the atmosphere. 14 00:00:50,866 --> 00:00:53,333 Now, why is this important? 15 00:00:53,333 --> 00:00:56,433 Because by creating these high resolution models, 16 00:00:56,466 --> 00:01:01,833 NASA scientists are able to better understand the behavior of Earth's interconnected systems, 17 00:01:02,033 --> 00:01:05,900 like how plumes of CO2 interact and spread with weather systems. 18 00:01:07,066 --> 00:01:09,766 For instance, you can clearly see the impact 19 00:01:09,766 --> 00:01:12,766 the day-night cycles have on CO2 emissions. 20 00:01:12,933 --> 00:01:16,366 This is due to daily fluctuations in human activities, 21 00:01:16,466 --> 00:01:21,000 cycles of photosynthesis, and fires flaring up and dying down. 22 00:01:23,033 --> 00:01:25,700 Our ability to run such a simulation 23 00:01:25,700 --> 00:01:30,000 allows us to see how individual data points influence the larger picture, 24 00:01:30,466 --> 00:01:33,966 uncovering previously unknown atmospheric relationships, 25 00:01:34,566 --> 00:01:37,933 and help us better understand the complexities of our atmosphere.