WEBVTT FILE 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