1 00:00:00,000 --> 00:00:03,480 From above, you can see that South Korea’s Pyeongchang region 2 00:00:03,500 --> 00:00:06,510 is nestled in a complex and rugged mountain range. 3 00:00:06,530 --> 00:00:09,750 Up close, professional athletes and spectators 4 00:00:09,770 --> 00:00:14,040 are dotted in the mountain’s crevasses for the 2018 Winter Olympics. 5 00:00:14,060 --> 00:00:16,090 The area has vast vertical drops 6 00:00:16,110 --> 00:00:19,490 and an average high of around 40 degrees Fahrenheit in February 7 00:00:19,510 --> 00:00:22,140 making it an ideal location for the games. 8 00:00:22,160 --> 00:00:25,670 As it turns out, the mountain range is also an ideal place 9 00:00:25,690 --> 00:00:28,570 for NASA scientists and engineers to study snow. 10 00:00:28,590 --> 00:00:30,870 So we’re here on the roof at the radar. 11 00:00:30,890 --> 00:00:35,240 All the games will be happening about 5 kilometers away from where the radar site is. 12 00:00:35,260 --> 00:00:40,020 This is Manuel Vega, an engineer that’s part of a NASA team at the Winter Olympics 13 00:00:40,040 --> 00:00:45,390 studying how well they can measure snow from the ground and space to better predict snowstorms. 14 00:00:45,410 --> 00:00:48,750 NASA is one of 20 agencies from 11 countries 15 00:00:48,770 --> 00:00:52,170 working together in a project called ICE-POP, 16 00:00:52,190 --> 00:00:54,800 the International Collaborative Experiments for Pyeongchang 17 00:00:54,820 --> 00:00:57,770 2018 Olympic and Paralympic Winter Games. 18 00:00:57,790 --> 00:01:01,180 Around 70 instruments have been deployed for ICE-POP 19 00:01:01,200 --> 00:01:05,910 across Pyeongchang’s diverse landscape to monitor the characteristics of snow. 20 00:01:05,930 --> 00:01:09,400 Factors such as temperature, altitude, and winds affect 21 00:01:09,420 --> 00:01:13,650 what types of snow forms and how much water is stored in snow. 22 00:01:13,670 --> 00:01:18,430 More than one-sixth of the world’s population relies on seasonal snow for water, 23 00:01:18,450 --> 00:01:22,240 yet it remains as one of the biggest gaps of knowledge in the water cycle. 24 00:01:22,260 --> 00:01:24,800 To understand snow’s role in the water cycle, 25 00:01:24,820 --> 00:01:27,970 it helps to monitor snowfall patterns around the world. 26 00:01:27,990 --> 00:01:32,030 With NASA’s Global Precipitation Measurement Mission, or GPM, 27 00:01:32,050 --> 00:01:35,940 scientists can see global maps of rain and snow every 30 minutes. 28 00:01:35,960 --> 00:01:39,850 But complex terrains with mountains and fast-changing clouds 29 00:01:39,870 --> 00:01:42,370 can be difficult to decipher from space. 30 00:01:42,390 --> 00:01:46,290 ICE-POP gives scientists an opportunity to use the ground instruments 31 00:01:46,310 --> 00:01:50,960 to check that what GPM is seeing from space is close to what they’re seeing on the ground. 32 00:01:50,980 --> 00:01:56,730 Scientists call this ground validation, which is key to understanding snow on a global scale. 33 00:01:56,750 --> 00:02:01,640 Another aspect of understanding snow is predicting when snowstorms occur. 34 00:02:01,660 --> 00:02:06,470 NASA is providing ICE-POP with one of five real-time research forecast models 35 00:02:06,490 --> 00:02:09,940 to experiment with predictions in a real-world setting. 36 00:02:09,960 --> 00:02:13,810 NASA’s model provides forecasts over 16 different Olympic venues 37 00:02:13,830 --> 00:02:16,290 every six hours to Olympic officials. 38 00:02:16,310 --> 00:02:19,690 And with ground instruments scattered across the region, 39 00:02:19,710 --> 00:02:22,600 they can test how accurate the forecasts are. 40 00:02:22,620 --> 00:02:25,390 The most satisfying thing is contributing to scientific knowledge. 41 00:02:25,410 --> 00:02:28,000 In short, the science community hopes for what 42 00:02:28,020 --> 00:02:30,430 a lot of Olympic athletes want in Pyeongchang: 43 00:02:30,450 --> 00:02:32,330 precipitation and perfection. 44 00:02:32,350 --> 00:02:37,204