1 00:00:00,367 --> 00:00:04,471 The reason that we as humans care about climate change 2 00:00:04,471 --> 00:00:07,040 is that it affects not just the temperature, 3 00:00:07,040 --> 00:00:09,376 but a whole bunch of other things that we care about. 4 00:00:09,376 --> 00:00:11,311 It affects soil moisture, 5 00:00:11,311 --> 00:00:15,148 which in turn affects our ability to grow the things that we eat. 6 00:00:15,415 --> 00:00:17,484 It affects cloud cover. 7 00:00:17,817 --> 00:00:19,586 It affects rainfall patterns. 8 00:00:19,586 --> 00:00:24,657 It increases drought risk in some regions and decreases it in other regions. 9 00:00:24,657 --> 00:00:28,495 Understanding our changing climate on a planet with incredibly complex 10 00:00:28,495 --> 00:00:32,532 and interconnected systems is a massive scientific undertaking. 11 00:00:32,866 --> 00:00:36,503 And climate scientists like Kate Marvel are using the data collected 12 00:00:36,503 --> 00:00:41,441 by satellites from around the world to improve the power of climate models. 13 00:00:41,908 --> 00:00:43,810 If we want to make better decisions about 14 00:00:43,810 --> 00:00:47,347 where we live, understand the changing impacts of hurricanes 15 00:00:47,680 --> 00:00:52,886 or improved predictions of fire seasons, we need evolving climate models. 16 00:00:52,886 --> 00:00:56,823 We don't have any observations from the year 2050, from the year 2100, 17 00:00:57,090 --> 00:01:00,360 but we can use our best knowledge of physics and chemistry 18 00:01:00,360 --> 00:01:04,297 and how the Earth system works in order to look at the impact 19 00:01:04,297 --> 00:01:07,801 of different emissions trajectories, different policy scenarios. 20 00:01:07,801 --> 00:01:12,072 Climate models provide a view into our future from our globe 21 00:01:12,072 --> 00:01:14,307 to our own communities. 22 00:01:14,307 --> 00:01:18,445 As models advance, as they're tasked with predicting the nature of the weather 23 00:01:18,445 --> 00:01:20,647 and the clouds over smaller and smaller scales, 24 00:01:20,747 --> 00:01:22,882 they're being asked tougher questions like, Well, 25 00:01:22,882 --> 00:01:26,586 what kind of clouds are happening over those small scales and how often 26 00:01:26,586 --> 00:01:28,421 and how heavily are they raining? 27 00:01:28,421 --> 00:01:32,392 We expect roughly on really, really large scales 28 00:01:32,392 --> 00:01:36,196 climate change is making wet regions wetter and dry regions drier. 29 00:01:36,329 --> 00:01:40,066 But at the same time, it's shifting the circulation of the atmosphere. 30 00:01:40,100 --> 00:01:41,668 So the locations on a very, 31 00:01:41,668 --> 00:01:45,271 very large scale of those wet and dry regions are changing. 32 00:01:45,738 --> 00:01:49,142 Climate models are composed of lots of different calculations on the 33 00:01:49,142 --> 00:01:53,146 different behaviors of our atmosphere, our land and our oceans. 34 00:01:53,546 --> 00:01:57,283 To accurately represent the natural world they need massive amounts 35 00:01:57,283 --> 00:02:01,121 of satellite data over decades from NASA's Earth observation 36 00:02:01,121 --> 00:02:04,057 fleet and its partners around the world. 37 00:02:04,624 --> 00:02:08,027 Satellites like the Global Precipitation Measurement Mission 38 00:02:08,027 --> 00:02:09,729 provide valuable rainfall data 39 00:02:09,729 --> 00:02:14,100 on daily to seasonal timescales for the past 20 years. 40 00:02:14,100 --> 00:02:16,870 And it's that information, along with a suite of other 41 00:02:16,870 --> 00:02:20,206 data that go into climate model development. 42 00:02:20,206 --> 00:02:25,078 Currently, the GPM microwave imager radiance data are used to generate 43 00:02:25,078 --> 00:02:30,283 initial states of NASA climate models and to guide climate model 44 00:02:30,283 --> 00:02:35,021 solutions to be close to real states by applying data assimilation techniques. 45 00:02:35,221 --> 00:02:39,259 Data assimilation is the process of combining many different sources of 46 00:02:39,259 --> 00:02:44,664 Earth observations into models to improve how we represent the Earth system. 47 00:02:44,797 --> 00:02:48,868 Assimilating GPM microwave imager data 48 00:02:48,868 --> 00:02:53,072 improved intensity and locations of storms 49 00:02:53,072 --> 00:02:56,242 and precipitation calculated by the climate models. 50 00:02:56,643 --> 00:03:01,781 And once a climate model is developed, it's tested over and over because, well... 51 00:03:01,981 --> 00:03:03,483 All models are wrong, 52 00:03:03,483 --> 00:03:06,853 but some models are useful, so they're always going to be incomplete. 53 00:03:06,853 --> 00:03:10,924 They're always going to be a not exact representation of the real world. 54 00:03:10,924 --> 00:03:16,062 But we want to make sure that they are capturing important aspects of the Earth 55 00:03:16,062 --> 00:03:19,432 so that we can treat them as credible going forward. 56 00:03:19,832 --> 00:03:24,103 Typically, what happens is when you modify one part of the climate model, 57 00:03:24,470 --> 00:03:27,106 other parts accidentally change. 58 00:03:27,273 --> 00:03:28,775 It's kind of like the Whack-A-Mole game. 59 00:03:28,775 --> 00:03:32,579 By hitting it down, we're improving it, we're killing the error, we're decreasing 60 00:03:32,579 --> 00:03:36,282 the problem existing in a model, but another area pops up. 61 00:03:36,282 --> 00:03:40,320 And that is why NASA observations of the Earth from space, the air and 62 00:03:40,320 --> 00:03:44,591 the ground are critical to understanding how our Earth system works. 63 00:03:44,591 --> 00:03:48,328 Observations help improve the modeling for our future here on Earth, 64 00:03:48,328 --> 00:03:51,397 with new capabilities to expand our knowledge. 65 00:03:51,731 --> 00:03:56,502 NASA is launching satellites and coordinating missions, like GPM, 66 00:03:56,502 --> 00:04:01,908 giving us that long term, really accurate satellite record of what's been going 67 00:04:01,908 --> 00:04:05,912 on, not just the temperature rising, but of various aspects 68 00:04:05,912 --> 00:04:06,980 of the climate changing. 69 00:04:06,980 --> 00:04:11,451 So precipitation and cloud cover and soil moisture, 70 00:04:11,451 --> 00:04:15,288 and a whole bunch of different climate variables that people care about. 71 00:04:15,455 --> 00:04:18,992 Continuing key observations of the Earth is really important 72 00:04:18,992 --> 00:04:24,264 to see how our atmosphere, land and oceans are changing over time. 73 00:04:24,264 --> 00:04:27,233 A long term record, combined with cutting edge observations 74 00:04:27,233 --> 00:04:30,837 from the new NASA Earth System Observatory, will continue 75 00:04:30,837 --> 00:04:35,174 to push boundaries to better understand our ever changing Earth.