WEBVTT FILE 1 00:00:03.003 --> 00:00:04.371 In the United States, 2 00:00:04.371 --> 00:00:07.941 a not-so-silent spring marks the arrival of several billion 3 00:00:07.941 --> 00:00:11.311 birds migrating northward from Central and South America. 4 00:00:12.879 --> 00:00:14.748 But curiously enough, the exact 5 00:00:14.748 --> 00:00:16.950 timing of this journey varies each year. 6 00:00:18.551 --> 00:00:20.420 So why is that? 7 00:00:20.420 --> 00:00:24.691 The key to this mystery may not lie in looking at the traditional flyways, 8 00:00:25.091 --> 00:00:29.029 but instead in radar, climate models, and a little bit of math. 9 00:00:29.996 --> 00:00:32.499 At the Global Modeling and Assimilation Office, 10 00:00:32.866 --> 00:00:35.702 we routinely produce a comprehensive 11 00:00:35.969 --> 00:00:40.006 climate data set by combining observations and models, 12 00:00:40.340 --> 00:00:42.942 and these are freely available to the public. 13 00:00:43.843 --> 00:00:46.312 This data can be used to explain the characteristics 14 00:00:46.312 --> 00:00:48.948 of ecosystems, like bird migration patterns. 15 00:00:49.582 --> 00:00:52.585 In fact, by using a network of 143 16 00:00:52.852 --> 00:00:56.022 NOAA radar stations across the continental United States, 17 00:00:56.456 --> 00:01:00.894 the team analyzed 23 years of data to see if they could group stations 18 00:01:00.894 --> 00:01:04.998 that had similar year-to-year variability in migration observations. 19 00:01:05.565 --> 00:01:08.334 And this is different from the concept of flyways. 20 00:01:08.368 --> 00:01:13.206 This is specifically looking at which radar stations across the United States, 21 00:01:13.973 --> 00:01:16.376 in what regions have a similar 22 00:01:16.876 --> 00:01:19.446 variability in bird migration timing. 23 00:01:20.680 --> 00:01:22.248 What they found is that the U.S. 24 00:01:22.248 --> 00:01:26.386 can be divided into two regions - east and west, each with its own 25 00:01:26.386 --> 00:01:29.789 specific pattern of variability of migratory bird arrival times. 26 00:01:30.657 --> 00:01:33.960 So now that we have divided the continental United States 27 00:01:33.960 --> 00:01:37.897 into two regions, we can look at each region specifically 28 00:01:38.198 --> 00:01:41.901 and understand the climatic drivers of this region. 29 00:01:43.236 --> 00:01:46.039 The team found that the behavior of Rossby Waves, 30 00:01:46.406 --> 00:01:51.177 huge waves of high-latitude westerly winds, was a major influence 31 00:01:51.177 --> 00:01:54.214 for bird migrations in the East. As Rossby Waves 32 00:01:54.214 --> 00:01:57.150 are triggered, particularly those in the tropical Pacific, 33 00:01:57.517 --> 00:02:01.287 they influence climate patterns and bring warm temperatures to the eastern 34 00:02:01.287 --> 00:02:05.625 United States, which in turn correlates with earlier arrivals of migratory birds 35 00:02:05.625 --> 00:02:07.127 in that region. 36 00:02:07.260 --> 00:02:10.463 Cold temperatures have the opposite effect. 37 00:02:10.463 --> 00:02:14.334 Variations in the West, however, seem to be linked to more regional 38 00:02:14.334 --> 00:02:18.338 climate conditions, such as sea surface temperatures of adjacent waters. 39 00:02:19.172 --> 00:02:24.177 In this study, we tried to highlight the fact that we can use our data 40 00:02:24.177 --> 00:02:27.947 for applications that would bridge climate science with other disciplines. 41 00:02:28.681 --> 00:02:31.985 The team hopes that future research will build upon this study 42 00:02:32.252 --> 00:02:36.422 to help us better understand how changes in the climate impacts specific 43 00:02:36.422 --> 00:02:39.993 migratory bird species.