WEBVTT FILE 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.