WEBVTT FILE 1 00:00:00.020 --> 00:00:04.020 The data gathered by GPM and its international 2 00:00:04.040 --> 00:00:08.070 constellation of satellites has generated an unprecedented global 3 00:00:08.090 --> 00:00:12.100 view of rain and snow. We can see 4 00:00:12.120 --> 00:00:16.140 daily patterns, seasonal movements, the rain in our own backyard, 5 00:00:16.160 --> 00:00:20.220 and weather sweeping the continent. We can analyze regional hazards, 6 00:00:20.240 --> 00:00:24.240 and precipitation that connects the globe. 7 00:00:24.260 --> 00:00:28.250 We can build up months of data, to years, 8 00:00:28.270 --> 00:00:32.280 and decades to look at how precipitation will change in a changing climate. 9 00:00:32.300 --> 00:00:36.340 And we can explore precipitation, from pole to pole, 10 00:00:36.360 --> 00:00:40.390 in a snapshot of a single week. 11 00:00:40.410 --> 00:00:44.420 Daily rainstorms are a constant near the Equator. 12 00:00:44.440 --> 00:00:48.460 George: The interesting thing you see when you look at this is the daily pulse in convection, 13 00:00:48.480 --> 00:00:52.490 what you might call the "popcorn." So for example over Africa, 14 00:00:52.510 --> 00:00:56.530 you see this regular pulsation of convection and 15 00:00:56.550 --> 00:01:00.540 then there are the longer lived events, which are squall lines. Because this happens to be during 16 00:01:00.560 --> 00:01:04.560 August, what we can see is the squall lines, which move across the continent 17 00:01:04.580 --> 00:01:08.600 starting in Ethiopia, and when they come off the coast, they're known as easterly waves. 18 00:01:08.620 --> 00:01:12.640 These are the precursors for some of the hurricanes that we see in the United States. 19 00:01:12.660 --> 00:01:16.690 As you follow them across, the same kind of "popcorn" is taking place in 20 00:01:16.710 --> 00:01:20.740 South America. And if you watch carefully you can see that 21 00:01:20.760 --> 00:01:24.770 line of convection starts along the coast in the afternoon and starts 22 00:01:24.790 --> 00:01:28.810 propogating in. And if you watch the pulsing, what you see is it takes about two days 23 00:01:28.830 --> 00:01:32.870 for those squall lines in South America over the Amazon to reach 24 00:01:32.890 --> 00:01:36.890 the Andes Mountains, at which point they sort of die out because they interact 25 00:01:36.910 --> 00:01:40.940 with this very steep topography. The Atlantic hurricane season was relatively 26 00:01:40.960 --> 00:01:44.950 quiet in 2014, but GPM was able to track storms into 27 00:01:44.970 --> 00:01:48.960 higher latitudes that nevertheless had unexpected impacts. 28 00:01:48.980 --> 00:01:53.010 Dalia: One of the things we can observe with the 2014 hurricane season is actually Hurricane 29 00:01:53.030 --> 00:01:57.050 Bertha, which you see here. Now it was kind of an unimpressive storm, but as you track it across 30 00:01:57.070 --> 00:02:01.090 the Atlantic, what you can see is that it caused massive flooding and wind damage 31 00:02:01.110 --> 00:02:05.130 in the UK. And so be being able to observe tropical cyclones in their 32 00:02:05.150 --> 00:02:09.150 infancy in the tropics and see how they move all the way to the high latitudes 33 00:02:09.170 --> 00:02:13.180 it gives us really important clues into how storms develop and intensify, 34 00:02:13.200 --> 00:02:17.190 all the way into the higher latitudes as extratropical systems. 35 00:02:17.210 --> 00:02:21.220 Gail: And it's really important to know what is happening in those high latitudes because 36 00:02:21.240 --> 00:02:25.250 that's where the majority of people live; it's where the populations are. And so being able 37 00:02:25.270 --> 00:02:29.270 to measure everything from the very light rain, which tends to occur at these 38 00:02:29.290 --> 00:02:33.320 high latitudes, and the falling snow, as well as the very heavy precipitation 39 00:02:33.340 --> 00:02:37.360 that occurs throughout the world, we have this data from the Global Precipitation 40 00:02:37.380 --> 00:02:41.380 Measurement mission. Meanwhile the Pacific Ocean saw a steady 41 00:02:41.400 --> 00:02:45.440 barrage of tropical cyclones, slamming into Hawaii, the Philippines, and 42 00:02:45.460 --> 00:02:49.460 Japan. Gail: Here you can see the different cyclones and 43 00:02:49.480 --> 00:02:53.510 typhoons as they move in the Pacific Ocean, one after another. 44 00:02:53.530 --> 00:02:57.560 What's also important about these is knowing where they are over the vast 45 00:02:57.580 --> 00:03:01.570 ocean so that once they get closer to land, operational users can make 46 00:03:01.590 --> 00:03:05.590 decisions about whether to evacuate people or not. 47 00:03:05.610 --> 00:03:09.620 George: For example we see Supertyphoon Halong, which recurved 48 00:03:09.640 --> 00:03:13.650 and then crossed Japan and started to interact with a mid-latitude cold front. 49 00:03:13.670 --> 00:03:17.700 Once it did that it went, as we say, extratropical 50 00:03:17.720 --> 00:03:21.730 and we can trace it all the way into the Northern Pacific Ocean. 51 00:03:21.750 --> 00:03:25.760 As we head south through Asia, seasonal 52 00:03:25.780 --> 00:03:29.810 rains drench India and its surrounding areas. 53 00:03:29.830 --> 00:03:33.830 Dalia: One of the things we can observe about this dataset is where and when rain is happening. 54 00:03:33.850 --> 00:03:37.880 And by being able to see, for example, this huge cluster of storms from the 55 00:03:37.900 --> 00:03:41.930 monsoons, we can understand where we might get heavy rainfall that leads to 56 00:03:41.950 --> 00:03:45.980 landslides and flooding. In fact what we observed during this time is actually a landslide 57 00:03:46.000 --> 00:03:50.020 that caused 150 fatalities. You can actually see 58 00:03:50.040 --> 00:03:54.050 what's happening just four hours after it occurred. And that near real time 59 00:03:54.070 --> 00:03:58.090 capability is critical for different disaster 60 00:03:58.110 --> 00:04:02.120 managers, understanding where we're getting floods and landslides around the world, 61 00:04:02.140 --> 00:04:06.130 and when we look at the longer term, where we're getting the absence of rain, where we have 62 00:04:06.150 --> 00:04:10.160 droughts, and understanding how those drought conditions are continuing or, 63 00:04:10.180 --> 00:04:14.200 you know, maybe, improved because of rainfall that's coming. 64 00:04:14.220 --> 00:04:18.240 With GPM we can look at how precipitation impacts very large populations, 65 00:04:18.260 --> 00:04:22.290 and shed new light on the area where almost no one lives. 66 00:04:22.310 --> 00:04:26.340 George: From South America, if we look to the south, we see the ocean that runs nearly around 67 00:04:26.360 --> 00:04:30.360 the entire globe, which we call the Southern Ocean. This is really sort of 68 00:04:30.380 --> 00:04:34.400 the terra incognita of precipitation, as far as I'm 69 00:04:34.420 --> 00:04:38.450 concerned. The Southern Ocean has almost no land and very few ships. 70 00:04:38.470 --> 00:04:42.470 It's a really challenging place; you don't go there unless you have to. As a result, 71 00:04:42.490 --> 00:04:46.500 we know very little about the meteorology and the precipitation. When you look at that zone 72 00:04:46.520 --> 00:04:50.530 what you see is the blue and darker purpley colors 73 00:04:50.550 --> 00:04:54.580 which represent snow. Because this is the Southern Hemisphere winter, 74 00:04:54.600 --> 00:04:58.640 there's some snow that we see. We've known about these storms for a long time, 75 00:04:58.660 --> 00:05:02.680 in terms of the cloud patterns but this is the first time we have a really great 76 00:05:02.700 --> 00:05:06.710 visualization of the rain, which is underneath. This is one of the features of these 77 00:05:06.730 --> 00:05:10.740 datasets is that it's like an X-ray that looks through the clouds and actually sees the rain. 78 00:05:10.760 --> 00:05:14.780 Gail: When you take a step back and look at this dataset 79 00:05:14.800 --> 00:05:18.820 from a global perspective, you can see the precipitation at the tropics, that looks like these 80 00:05:18.840 --> 00:05:22.840 "popcorn" convective events. As well as these long-lasting 81 00:05:22.860 --> 00:05:26.890 frontal systems in the high latitudes. And it's with this data 82 00:05:26.910 --> 00:05:30.950 that we can start to understand precipitation globally 83 00:05:30.970 --> 00:05:34.990 and see how it interacts with humans and with the science in understanding it better. 84 00:05:35.010 --> 00:05:39.030 85 00:05:39.050 --> 00:05:42.055