0:00:06.446,0:00:09.026 From 2016 to 2019, 0:00:09.026,0:00:13.321 meteorologists saw record-breaking[br]heat waves around the globe, 0:00:13.321,0:00:16.821 rampant wildfires [br]in California and Australia, 0:00:16.821,0:00:21.801 and the longest run [br]of category 5 tropical cyclones on record. 0:00:21.801,0:00:26.611 The number of extreme weather events[br]has been increasing for the last 40 years, 0:00:26.611,0:00:30.521 and current predictions suggest [br]that trend will continue. 0:00:30.521,0:00:34.021 But are these natural disasters [br]simply bad weather? 0:00:34.021,0:00:37.451 Or are they due to our changing climate? 0:00:37.451,0:00:38.751 To answer this question 0:00:38.751,0:00:42.511 we need to understand the differences[br]between weather and climate— 0:00:42.511,0:00:48.022 what they are, how we predict them,[br]and what those predictions can tell us. 0:00:48.022,0:00:52.078 Meteorologists define weather [br]as the conditions of the atmosphere 0:00:52.078,0:00:54.908 at a particular time and place. 0:00:54.908,0:00:58.318 Currently, researchers can predict [br]a region’s weather for the next week 0:00:58.318,0:01:01.088 with roughly 80% accuracy. 0:01:01.088,0:01:05.485 Climate describes a region’s [br]average atmospheric conditions 0:01:05.485,0:01:08.685 over periods of a month or more. 0:01:08.685,0:01:13.110 Climate predictions can forecast [br]average temperatures for decades to come, 0:01:13.110,0:01:17.719 but they can’t tell us what specific[br]weather events to expect. 0:01:17.719,0:01:21.775 These two types of predictions [br]give us such different information 0:01:21.775,0:01:24.875 because they’re based on different data. 0:01:24.875,0:01:26.275 To forecast weather, 0:01:26.275,0:01:30.415 meteorologists need to measure [br]the atmosphere’s initial conditions. 0:01:30.415,0:01:35.380 These are the current levels [br]of precipitation, air pressure, humidity, 0:01:35.380,0:01:40.282 wind speed and wind direction [br]that determine a region’s weather. 0:01:40.282,0:01:45.063 Twice every day, meteorologists [br]from over 800 stations around the globe 0:01:45.063,0:01:47.983 release balloons into the atmosphere. 0:01:47.983,0:01:51.923 These balloons carry instruments [br]called radiosondes, 0:01:51.923,0:01:53.444 which measure initial conditions 0:01:53.444,0:01:57.284 and transmit their findings [br]to international weather centers. 0:01:57.284,0:02:01.014 Meteorologists then run the data [br]through predictive physics models 0:02:01.014,0:02:03.954 that generate the final weather forecast. 0:02:03.954,0:02:07.394 Unfortunately, there’s something stopping[br]this global web of data 0:02:07.394,0:02:09.804 from producing a perfect prediction: 0:02:09.804,0:02:13.494 weather is a fundamentally [br]chaotic system. 0:02:13.494,0:02:17.807 This means it’s incredibly sensitive [br]and impossible to perfectly forecast 0:02:17.807,0:02:21.807 without absolute knowledge [br]of all the system’s elements. 0:02:21.807,0:02:23.907 In a period of just ten days, 0:02:23.907,0:02:30.015 even incredibly small disturbances can[br]massively impact atmospheric conditions— 0:02:30.015,0:02:35.278 making it impossible to reliably [br]predict weather beyond two weeks. 0:02:35.278,0:02:39.278 Climate prediction, on the other hand,[br]is far less turbulent. 0:02:39.278,0:02:42.498 This is partly because a region’s climate [br]is, by definition, 0:02:42.498,0:02:45.398 the average of all its weather data. 0:02:45.398,0:02:48.378 But also because climate forecasts ignore 0:02:48.378,0:02:50.868 what’s currently happening [br]in the atmosphere, 0:02:50.868,0:02:54.128 and focus on the range [br]of what could happen. 0:02:54.128,0:02:57.748 These parameters are known [br]as boundary conditions, 0:02:57.748,0:03:03.064 and as their name suggests, they act[br]as constraints on climate and weather. 0:03:03.064,0:03:07.186 One example of a boundary condition[br]is solar radiation. 0:03:07.186,0:03:12.450 By analyzing the precise distance [br]and angle between a location and the sun, 0:03:12.450,0:03:16.160 we can determine the amount of heat[br]that area will receive. 0:03:16.160,0:03:19.380 And since we know how the sun [br]behaves throughout the year, 0:03:19.380,0:03:22.820 we can accurately predict [br]its effects on temperature. 0:03:22.820,0:03:25.250 Averaged across years of data, 0:03:25.250,0:03:29.742 this reveals periodic patterns,[br]including seasons. 0:03:29.742,0:03:34.693 Most boundary conditions have well-defined[br]values that change slowly, if at all. 0:03:34.693,0:03:39.401 This allows researchers to reliably [br]predict climate years into the future. 0:03:39.401,0:03:41.741 But here’s where it gets tricky. 0:03:41.741,0:03:44.421 Even the slightest change [br]in these boundary conditions 0:03:44.421,0:03:48.656 represents a much larger shift [br]for the chaotic weather system. 0:03:48.656,0:03:53.436 For example, Earth’s surface temperature[br]has warmed by almost 1 degree Celsius 0:03:53.436,0:03:56.256 over the last 150 years. 0:03:56.256,0:03:58.666 This might seem like a minor shift, 0:03:58.666,0:04:02.226 but this 1-degree change [br]has added the energy equivalent 0:04:02.226,0:04:06.904 of roughly one million [br]nuclear warheads into the atmosphere. 0:04:06.904,0:04:11.545 This massive surge of energy [br]has already led to a dramatic increase 0:04:11.545,0:04:15.722 in the number of heatwaves, [br]droughts, and storm surges. 0:04:15.722,0:04:21.651 So, is the increase in extreme weather[br]due to random chance, or changing climate? 0:04:21.651,0:04:23.001 The answer is that— 0:04:23.001,0:04:26.441 while weather will always [br]be a chaotic system— 0:04:26.441,0:04:31.782 shifts in our climate do increase [br]the likelihood of extreme weather events. 0:04:31.782,0:04:36.820 Scientists are in near universal agreement[br]that our climate is changing 0:04:36.820,0:04:40.490 and that human activity [br]is accelerating those changes. 0:04:40.490,0:04:41.890 But fortunately, 0:04:41.890,0:04:46.253 we can identify what human behaviors[br]are impacting the climate most 0:04:46.253,0:04:49.513 by tracking which boundary conditions [br]are shifting. 0:04:49.513,0:04:53.840 So even though next month’s weather [br]might always be a mystery, 0:04:53.840,0:04:59.120 we can work together to protect[br]the climate for centuries to come.