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