WEBVTT FILE 1 00:00:01.060 --> 00:00:05.000 [music] 2 00:00:05.000 --> 00:00:09.000 VO: This is rain and snow. Not just a day. 3 00:00:09.000 --> 00:00:13.000 Or even a year. This is the culmination of 4 00:00:13.000 --> 00:00:17.000 almost twenty years of precipitation, all at once. 5 00:00:17.000 --> 00:00:21.000 Led by the Global 6 00:00:21.000 --> 00:00:25.000 Precipitation Measurement mission, the newest version of the NASA product 7 00:00:25.000 --> 00:00:29.060 called the Integrated Multi-satellitE Retrievals for GPM, 8 00:00:29.060 --> 00:00:33.000 or IMERG analysis, has remastered almost twenty 9 00:00:33.000 --> 00:00:37.060 years of rain and snow, creating a crisper, clearer 10 00:00:37.060 --> 00:00:41.000 and more complete picture than ever before. This marks 11 00:00:41.000 --> 00:00:45.060 a major milestone in the effort to generate a long-term record of 12 00:00:45.060 --> 00:00:49.060 global precipitation. With this two-decade long record 13 00:00:49.060 --> 00:00:53.060 you can see regional and global patterns in unprecedented 14 00:00:53.060 --> 00:00:57.060 detail. Seasons pulse. 15 00:00:57.060 --> 00:01:01.060 Over India and Southeast Asia, 16 00:01:01.060 --> 00:01:05.060 massive monsoon rains shift. 17 00:01:05.060 --> 00:01:09.060 Storm tracks march along in higher latitudes. 18 00:01:09.060 --> 00:01:13.060 The seas bubble in the Southern Ocean, which scientists consider 19 00:01:13.060 --> 00:01:17.060 one of our planet’s last great unknowns. If we look a little 20 00:01:17.060 --> 00:01:21.060 closer, we can see the wettest and driest places on Earth. 21 00:01:21.060 --> 00:01:25.060 Huffman: Extreme high events tend to be very concentrated and very 22 00:01:25.060 --> 00:01:29.060 localized. Whereas, the opposite, what we would call droughts, tend 23 00:01:29.060 --> 00:01:33.060 to be very widespread and sort of diffuse-looking. 24 00:01:33.060 --> 00:01:37.060 VO: The wettest places on the globe occur over oceans, particular in places where 25 00:01:37.060 --> 00:01:41.060 the surrounding land forces air into a converging pattern over 26 00:01:41.060 --> 00:01:45.060 warm waters that provide a lot of evaporation. 27 00:01:45.060 --> 00:01:49.060 For example, off the coast of Indonesia. 28 00:01:49.060 --> 00:01:53.060 As well as off the northwest coast of Colombia. 29 00:01:53.060 --> 00:01:57.000 And just two thousand miles to the south is one of the driest 30 00:01:57.000 --> 00:02:01.000 areas, the Atacama Desert in Chile. 31 00:02:01.000 --> 00:02:05.000 Across the Atlantic, Namibia experiences some of the least rain as well. 32 00:02:05.000 --> 00:02:09.000 Huffman: The interesting thing of the the last two is that they're 33 00:02:09.000 --> 00:02:13.060 next to the ocean, they’re next to cold ocean. And so in fact those dry zones 34 00:02:13.060 --> 00:02:17.000 actually extend over the ocean. We tend not to think of 35 00:02:17.000 --> 00:02:21.000 ocean deserts but, in fact, that’s what’s going on. VO: Over the past two 36 00:02:21.000 --> 00:02:25.060 decades, precipitation has been changing. 37 00:02:25.060 --> 00:02:29.060 What we’re seeing isn’t a change in the overall amount of rainfall, 38 00:02:29.060 --> 00:02:33.000 but rather how that rainfall is distributed. 39 00:02:33.000 --> 00:02:37.000 Huffman: What seems to be happening—and this is still subject to some interpretation—is 40 00:02:37.000 --> 00:02:41.000 that the regions that get more precipitation are getting even more, 41 00:02:41.000 --> 00:02:45.060 and the areas that get less precipitation are getting even less. 42 00:02:45.060 --> 00:02:49.060 You perhaps heard the phrase “The wet get wetter and the dry get drier.” 43 00:02:49.060 --> 00:02:53.060 VO: This long record allows researchers to better test climate models, 44 00:02:53.060 --> 00:02:57.000 by comparing the model’s virtual scenario with decades of real 45 00:02:57.000 --> 00:03:01.000 precipitation. We’re able to go back in time and reanalyze 46 00:03:01.000 --> 00:03:05.060 large-scale events, like El Niño. Huffman: By making these revised 47 00:03:05.060 --> 00:03:09.060 estimates in the past, it gives us better insight into 48 00:03:09.060 --> 00:03:13.060 the behavior of the atmosphere, and it allows people who are doing, say, model 49 00:03:13.060 --> 00:03:17.060 verification to do a more accurate job of verifying their models for that 50 00:03:17.060 --> 00:03:21.060 particular event, which happened in the past, than they could have done at the time. 51 00:03:21.060 --> 00:03:25.000 VO: Improving the models with the past will help predict the future. 52 00:03:25.000 --> 00:03:29.060 And that doesn’t stop with weather forecasts. A long 53 00:03:29.060 --> 00:03:33.060 precipitation record is a vital tool for researchers modeling floods 54 00:03:33.060 --> 00:03:37.060 and landslides, disease outbreaks, 55 00:03:37.060 --> 00:03:41.060 agricultural forecasts. Tracking our main 56 00:03:41.060 --> 00:03:45.060 source of freshwater. All of these applications need 57 00:03:45.060 --> 00:03:49.060 lots of data over many decades to fine tune the 58 00:03:49.060 --> 00:03:53.060 statistics and models that agencies rely upon for making decisions 59 00:03:53.060 --> 00:03:57.060 around the globe. 60 00:03:57.060 --> 00:04:00.260 [music] 61 00:04:00.260 --> 00:04:01.260 62 00:04:01.260 --> 00:04:00.256