WEBVTT 1 00:00:00.820 --> 00:00:21.880 [ Outtake ] 2 00:00:21.900 --> 00:00:26.150 [ Reporter ] NASA is releasing a new global portrait of rain and snow, 3 00:00:26.170 --> 00:00:30.180 and here to show us this portrait and tell us a little more about it is 4 00:00:30.200 --> 00:00:35.850 Dr. Gail Skofronick-Jackson from NASA's Goddard Space Flight Center. 5 00:00:35.870 --> 00:00:36.920 Thanks for joining us. 6 00:00:36.940 --> 00:00:38.100 [ Dr. Skofronick-Jackson ] Thank you. 7 00:00:38.120 --> 00:00:42.140 Typically what you might see are localized rain maps from your ground based radars, 8 00:00:42.160 --> 00:00:45.020 or maybe the white cloud tops from satellites. 9 00:00:45.040 --> 00:00:49.980 With the new joint NASA/Japan Global Precipitation Measurement mission, or GPM, 10 00:00:50.000 --> 00:00:54.450 we're actually able to provide uniform precipitation estimates 11 00:00:54.470 --> 00:00:57.560 using a constellation of about a dozen satellites. 12 00:00:57.580 --> 00:01:01.720 With this data, which is important for science and society, 13 00:01:01.740 --> 00:01:04.880 we are able to see rain and snow globally 14 00:01:04.900 --> 00:01:10.360 every 30 minutes at the scale of a small suburb. 15 00:01:10.380 --> 00:01:15.080 [ Reporter ] Can you take us on a tour and show us some of the surprising things you've seen? 16 00:01:15.100 --> 00:01:19.190 [ Dr. Skofronick-Jackson ] So there's been many impressive features we've seen with this data set. 17 00:01:19.210 --> 00:01:25.280 But first, I want to show you some data from March 24th, 25th, and 26th, 2015. 18 00:01:25.300 --> 00:01:29.300 There's some very severe thunderstorms in the US. 19 00:01:29.320 --> 00:01:32.630 In fact, in Moore, Oklahoma they had a tornado. 20 00:01:32.650 --> 00:01:35.360 So that's some really interesting data. 21 00:01:35.380 --> 00:01:40.460 We also have, looking at the Amazon, you can see these very small, intense features 22 00:01:40.480 --> 00:01:43.600 that kind of pop up and then disappear, 23 00:01:43.620 --> 00:01:47.640 as well as these large features that persist a little bit longer. 24 00:01:47.660 --> 00:01:51.680 These systems provide rain that drain into the Amazon River, 25 00:01:51.700 --> 00:01:53.860 the largest river in the world. 26 00:01:53.880 --> 00:01:57.920 Finally, moving south, you can see these huge systems spiraling 27 00:01:57.940 --> 00:02:03.100 in the southern ocean, an area of the world where we just don't have good ground data, 28 00:02:03.120 --> 00:02:06.310 and we need to be able to measure this data from space to see it. 29 00:02:06.330 --> 00:02:11.240 [ Reporter ] I understand this is the first satellite designed specifically to measure falling snow. 30 00:02:11.260 --> 00:02:13.320 Tell us a little bit about that and why that's important. 31 00:02:13.340 --> 00:02:17.510 [ Dr. Skofronick-Jackson ] Right, so GPM, the core observatory, was specifically designed 32 00:02:17.530 --> 00:02:21.560 to measure falling snow, but it was also designed to see three dimensionally 33 00:02:21.580 --> 00:02:25.670 within the clouds. So we look at Hurricane Arthur from July 2014, 34 00:02:25.690 --> 00:02:29.860 you can see in the greens to reds, the liquid precipitation near the ocean surface, 35 00:02:29.880 --> 00:02:36.920 But high up in the cloud, you can see in blues to purple, frozen precipitation. 36 00:02:36.940 --> 00:02:42.100 All hurricanes have ice in the tops of their clouds, but if it happens to be cold enough 37 00:02:42.120 --> 00:02:46.160 at the Earth's surface, we can see falling snow with this satellite. 38 00:02:46.180 --> 00:02:51.200 In this particular animation, you can see, from February 2015, 39 00:02:51.220 --> 00:02:54.220 you can see the rain-snow transition line. 40 00:02:54.240 --> 00:02:58.290 And so it's really important to measure all these different types of precipitation 41 00:02:58.310 --> 00:03:02.460 because they contribute to Earth's water resources. 42 00:03:02.480 --> 00:03:06.490 [ Reporter ] How will forecasters and emergency managers use these maps? 43 00:03:06.510 --> 00:03:09.520 [ Dr. Skofronick-Jackson ] Yeah, water is essential for all life on Earth, 44 00:03:09.540 --> 00:03:12.550 so knowing where, when, and how much it rains or snows is very important 45 00:03:12.570 --> 00:03:17.730 to help us predict where floods might occur, where droughts might occur, 46 00:03:17.750 --> 00:03:21.770 landslides, or where the hurricanes might be impacting our coastlines. 47 00:03:21.790 --> 00:03:26.800 So GPM provides this data in near real time, so that emergency responders 48 00:03:26.820 --> 00:03:31.920 can get early access to it and to be able to predict or 49 00:03:31.940 --> 00:03:34.940 make decisions about disaster warnings. 50 00:03:34.960 --> 00:03:41.070 And finally, with the GPM data, one of the best uses of it to be able to improve 51 00:03:41.090 --> 00:03:42.990 our weather forecasts and our climate change models 52 00:03:43.010 --> 00:03:46.020 for our everyday lives and our long term future. 53 00:03:46.040 --> 00:03:50.120 [ Reporter ] I understand there was a lot of interesting activity 54 00:03:50.140 --> 00:03:53.240 that happened over the oceans just last week. 55 00:03:53.260 --> 00:03:55.310 Can you tell us a little bit about that? 56 00:03:55.330 --> 00:03:59.320 [ Dr. Skofronick-Jackson ] So, actually, last week there was Typhoon Maysak 57 00:03:59.340 --> 00:04:03.330 which we were able to see, we don't have visualizations of it yet 58 00:04:03.350 --> 00:04:08.490 because it's so new, but we're able to capture events like that in three dimensions 59 00:04:08.510 --> 00:04:10.500 to provide this additional information. 60 00:04:10.520 --> 00:04:14.660 [ Reporter ] And where can we learn more about this mission? 61 00:04:14.680 --> 00:04:17.690 [ Dr. Skofronick-Jackson ] Oh, it's been such an exciting year for NASA 62 00:04:17.710 --> 00:04:21.740 We've had 5 Earth science satellites measuring everything from soil moisture 63 00:04:21.760 --> 00:04:26.920 to the carbon in the atmosphere. And you can get more information at 64 00:04:26.940 --> 00:04:30.100 NASA.gov/earthrightnow 65 00:04:30.120 --> 00:04:37.458 [Reporter] Ok, thanks so much for joining us.