WEBVTT 1 00:00:00.380 --> 00:00:04.390 [ Reporter ] NASA is unveiling a new global portrait of rain and snow. 2 00:00:04.410 --> 00:00:08.980 Here to show us this portrait and tell us a little about it is Dr. Eric Brown de Colstoun. 3 00:00:09.000 --> 00:00:09.980 Thanks for joining us. 4 00:00:10.000 --> 00:00:13.320 [ Dr. Brown de Colstoun ] Thanks for having me. 5 00:00:13.340 --> 00:00:15.290 [ Reporter ] This global view is very compelling. 6 00:00:15.310 --> 00:00:18.210 What makes this map so special? 7 00:00:18.230 --> 00:00:25.270 [ Dr. Brown de Colstoun ] First of all, we don't have a full global picture all the time, 8 00:00:25.290 --> 00:00:28.220 so the data from this joint Japan/US mission, 9 00:00:28.240 --> 00:00:31.290 called the Global Precipitation Measurement Mission, 10 00:00:31.310 --> 00:00:34.730 gives us, really, a global picture from pole to pole 11 00:00:34.750 --> 00:00:36.730 of precipitation every 30 minutes, 12 00:00:36.750 --> 00:00:43.680 and about at the size of about 6 miles across. 13 00:00:43.700 --> 00:00:48.650 So what we're seeing is intense storms across ... 14 00:00:48.670 --> 00:00:53.430 all the way from the eastern Pacific all the way to the southern Atlantic. 15 00:00:53.450 --> 00:00:56.720 [ Reporter ] Can you take us on a tour and show us some of the surprising things you've seen? 16 00:00:56.740 --> 00:00:58.880 [ Dr Brown de Colstoun ] Sure ... sure. 17 00:00:58.900 --> 00:01:02.280 So one of things that we have here is, I think, 18 00:01:02.300 --> 00:01:09.300 a clip of several events in one week in August, so it was a busy time on Earth. 19 00:01:09.320 --> 00:01:14.320 And so you see here, actually, Hurricane Iselle and Tropical Storm Julio 20 00:01:14.340 --> 00:01:17.980 going through Hawaii - it was the first storm to hit Hawaii in 22 years. 21 00:01:18.000 --> 00:01:21.990 You also see what we call this "popcorn" precipitation and clouds 22 00:01:22.010 --> 00:01:24.220 over the Amazon river basin. 23 00:01:24.240 --> 00:01:31.370 And obviously all that rainfall falls into the Amazon and feeds the tropical forest. 24 00:01:31.390 --> 00:01:35.550 You see all these big storm tracks through the southern ocean. 25 00:01:35.570 --> 00:01:40.670 Where you actually see in blue, you see the snow and ice on the top of the clouds. 26 00:01:40.690 --> 00:01:45.720 And then the red and greens are the rainfall. 27 00:01:45.740 --> 00:01:48.750 [ Reporter ] This is the first satellite designed to measure falling snow. 28 00:01:48.770 --> 00:01:51.800 Show us a recent snowstorm. 29 00:01:51.820 --> 00:01:54.850 [ Dr. Brown de Colstoun ] A recent snowstorm. 30 00:01:54.870 --> 00:01:58.960 On the east coast of the US we have a couple examples that we can show you. 31 00:01:58.980 --> 00:02:04.690 So, I think what's interesting here is we can actually see this sort of CAT scan 32 00:02:04.710 --> 00:02:07.120 or three dimensional structure of the storm 33 00:02:07.140 --> 00:02:11.170 which I think is really exciting as well, and scientists do. 34 00:02:11.190 --> 00:02:15.180 What you see is the top of the clouds are blue and purple 35 00:02:15.200 --> 00:02:19.260 which is ice or snow, and then at the bottom is the rain. 36 00:02:19.280 --> 00:02:23.400 Again, the reds and purples are stronger precipitations. 37 00:02:23.420 --> 00:02:28.430 This is a storm in February of this year in the eastern US. 38 00:02:28.450 --> 00:02:31.540 And the other part, as well, is we can track the snow 39 00:02:31.560 --> 00:02:34.580 all the way from top of the atmosphere all the way to the ground. 40 00:02:34.600 --> 00:02:38.730 And so you get this really, pretty cool three dimensional picture 41 00:02:38.750 --> 00:02:42.760 of every storm everywhere on Earth. 42 00:02:42.780 --> 00:02:46.850 [ Reporter ] How will forecasters and emergency managers use this map? 43 00:02:46.870 --> 00:02:51.040 [ Dr. Brown de Colstoun ] This is kind of the step in technology. 44 00:02:51.060 --> 00:02:55.080 We're now able to see the whole globe every 30 minutes 45 00:02:55.100 --> 00:03:00.270 so that's critical for all kinds of forecasts, not only for weather forecasting 46 00:03:00.290 --> 00:03:02.290 and climate forecasting as well. 47 00:03:02.310 --> 00:03:05.490 Here you have an example of Typhoon Haiyan, 48 00:03:05.510 --> 00:03:09.550 Super Typhoon Haiyan hitting Japan. 49 00:03:09.570 --> 00:03:12.630 When we're looking at the accumulation of rainfall, 50 00:03:12.650 --> 00:03:15.700 not only over the oceans, but over land, 51 00:03:15.720 --> 00:03:19.810 obviously you can see the applications for first responders 52 00:03:19.830 --> 00:03:22.830 to know where the areas of flooding could occur, 53 00:03:22.850 --> 00:03:29.020 but any number of different applications for emergency responders. 54 00:03:29.040 --> 00:03:30.560 [ Reporter ] Thanks so much for joining us. 55 00:03:30.580 --> 00:03:36.363 [ Dr. Brown de Colstoun ] Thank you.