1 00:00:00,320 --> 00:00:04,480 Speaker 1: Welcome to zero. I am Kshatrati. This week global warming 2 00:00:05,040 --> 00:00:19,919 Speaker 1: or global weirding. So here in London it's been raining 3 00:00:20,040 --> 00:00:22,919 Speaker 1: for what feels like months, which is maybe what you 4 00:00:23,040 --> 00:00:26,200 Speaker 1: think London should be like, but let me tell you 5 00:00:26,400 --> 00:00:29,680 Speaker 1: this is next level. England has had one of the 6 00:00:29,760 --> 00:00:33,240 Speaker 1: wettest years since people started keeping track of such things 7 00:00:33,720 --> 00:00:37,160 Speaker 1: back in eighteen thirty six, and all around the world 8 00:00:37,360 --> 00:00:42,080 Speaker 1: the weather has been anomalous and disruptive. We are, after all, 9 00:00:42,240 --> 00:00:45,800 Speaker 1: living through the hottest year there has ever been on record. 10 00:00:46,960 --> 00:00:51,320 Speaker 1: There's been flooding in Dubai, Haile in Texas, extreme heat 11 00:00:51,360 --> 00:00:54,400 Speaker 1: in India. In Delhi, where my in laws live, it's 12 00:00:54,400 --> 00:00:57,639 Speaker 1: been forty four degrees celsius one hundred and eleven fahrenheit 13 00:00:57,720 --> 00:01:00,959 Speaker 1: this week. I'm sure you can go into some examples 14 00:01:01,000 --> 00:01:04,800 Speaker 1: of crazy weather where you live. As the summer gets 15 00:01:04,880 --> 00:01:08,080 Speaker 1: underway in the northern Hemisphere, all of us at Bloomergreen 16 00:01:08,600 --> 00:01:12,920 Speaker 1: are bracing for new extreme weather events. My colleague Eric 17 00:01:13,000 --> 00:01:15,920 Speaker 1: Rosston has covered climate change for more than two decades 18 00:01:16,200 --> 00:01:20,319 Speaker 1: and he's had many, many conversations with climate scientists about 19 00:01:20,360 --> 00:01:24,280 Speaker 1: the unprecedented times we live in. Today, we're going to 20 00:01:24,280 --> 00:01:28,040 Speaker 1: bring you a conversation he recently had with Catherine Heho, 21 00:01:28,440 --> 00:01:32,400 Speaker 1: a climate scientist at Texas Tech University. She focuses on 22 00:01:32,480 --> 00:01:35,880 Speaker 1: assessing the regional impacts of climate change on people and 23 00:01:35,920 --> 00:01:40,080 Speaker 1: the environment. We'll hear Eric's conversation with her in a moment, 24 00:01:40,520 --> 00:01:42,880 Speaker 1: but first I wanted to catch up with him to 25 00:01:42,920 --> 00:01:45,720 Speaker 1: find out how he is thinking about this moment. 26 00:01:55,840 --> 00:01:57,760 Speaker 2: Welcome Eric, Hi, Thanks for having me. 27 00:01:58,880 --> 00:02:01,360 Speaker 1: Now, you've been writing about climate change for a long time. 28 00:02:02,480 --> 00:02:06,920 Speaker 1: How do you convey to somebody now the true weight 29 00:02:07,240 --> 00:02:10,079 Speaker 1: of all that is happening in the hottest year? 30 00:02:11,520 --> 00:02:14,280 Speaker 2: So, in the time that I've been doing this since 31 00:02:14,320 --> 00:02:18,600 Speaker 2: like two thousand and one, all but one of the 32 00:02:18,720 --> 00:02:22,120 Speaker 2: years of this century or is one of the hottest 33 00:02:22,200 --> 00:02:25,040 Speaker 2: years ever. The way you ask the question is sort 34 00:02:25,040 --> 00:02:28,640 Speaker 2: of overwhelming. It's like, how do you explain the scale 35 00:02:28,680 --> 00:02:32,160 Speaker 2: of things that are going on? And I think I don't. 36 00:02:32,800 --> 00:02:35,760 Speaker 1: You talk to climate scientists often, and you've been doing 37 00:02:35,800 --> 00:02:39,919 Speaker 1: that for years as part of the job, but they 38 00:02:40,320 --> 00:02:45,600 Speaker 1: see things getting worse and they understand it better than 39 00:02:45,680 --> 00:02:49,360 Speaker 1: anybody else because they kind of see it coming and 40 00:02:49,400 --> 00:02:53,760 Speaker 1: it becomes true. So, in doing these interviews over the years, 41 00:02:53,880 --> 00:02:57,200 Speaker 1: have you seen a change in their attitude on how 42 00:02:57,360 --> 00:02:59,120 Speaker 1: they think about climate impacts. 43 00:03:00,080 --> 00:03:03,359 Speaker 2: I think you in the last two or three years 44 00:03:03,440 --> 00:03:07,240 Speaker 2: when one of the big UN climate reports came out, 45 00:03:07,800 --> 00:03:12,520 Speaker 2: did a column on the evolving language that scientists have 46 00:03:12,639 --> 00:03:17,040 Speaker 2: used since the nineteen nineties, and scientists are very conservative 47 00:03:17,040 --> 00:03:19,480 Speaker 2: in the way they speak, and these UN climate reports 48 00:03:19,520 --> 00:03:23,520 Speaker 2: are the most conservative statements that scientists make about climate change, 49 00:03:23,760 --> 00:03:26,400 Speaker 2: because not only all the scientists, but two hundred different 50 00:03:26,440 --> 00:03:29,600 Speaker 2: countries have to agree agree to it. And so if 51 00:03:29,600 --> 00:03:33,079 Speaker 2: you just look at the top line statements, they evolve 52 00:03:33,320 --> 00:03:37,920 Speaker 2: from the early nineteen nineties from well we're looking at it, 53 00:03:38,800 --> 00:03:42,520 Speaker 2: you know, to like a famous mid nineties statement, we 54 00:03:42,520 --> 00:03:47,160 Speaker 2: can detect a human discernible human impact on the climate, 55 00:03:47,520 --> 00:03:50,080 Speaker 2: you know, to these days, which to like translate it 56 00:03:50,080 --> 00:03:55,200 Speaker 2: into conversational speech is it's here, and it's nuts in 57 00:03:55,200 --> 00:03:58,240 Speaker 2: some ways, it's worse than we thought, and what is 58 00:03:58,280 --> 00:04:01,040 Speaker 2: anybody doing about it? I think in two thousand and 59 00:04:01,120 --> 00:04:07,720 Speaker 2: seven they called warming it's unequivocal. This time what's unequivocal 60 00:04:07,960 --> 00:04:14,600 Speaker 2: was human contribution to the warming, which Catherine Heho, you know, 61 00:04:14,640 --> 00:04:17,799 Speaker 2: has described as more than one hundred percent. The reason 62 00:04:17,839 --> 00:04:20,080 Speaker 2: it's possible that we're responsible for more than one hundred 63 00:04:20,080 --> 00:04:23,039 Speaker 2: percent of warming. Is that we put up all the 64 00:04:23,080 --> 00:04:27,479 Speaker 2: warming gases, but then some of our pollution has a 65 00:04:27,520 --> 00:04:30,320 Speaker 2: cooling effect on the atmosphere, so we actually net out 66 00:04:30,720 --> 00:04:32,800 Speaker 2: a certain amount of our warming, and that's how we're 67 00:04:32,839 --> 00:04:34,680 Speaker 2: responsible for that much of it. 68 00:04:38,880 --> 00:04:41,760 Speaker 1: This is the part that terrifies me. It's humans running 69 00:04:41,760 --> 00:04:44,680 Speaker 1: an experiment on the planet and we don't really know 70 00:04:45,240 --> 00:04:48,880 Speaker 1: what will happen. Fortunately, we have climate scientists like Catherine 71 00:04:48,880 --> 00:04:52,080 Speaker 1: and Haho who can explain what the hell is happening, 72 00:04:52,440 --> 00:04:53,760 Speaker 1: so let's hear from her. 73 00:04:55,080 --> 00:04:58,560 Speaker 3: We often refer to climate change as global warming, but 74 00:04:58,640 --> 00:05:01,080 Speaker 3: these days I think it's much more appropriate to call 75 00:05:01,120 --> 00:05:05,120 Speaker 3: it global weirding, because wherever we live, our weather is 76 00:05:05,160 --> 00:05:08,479 Speaker 3: getting weirder. So think of it like this. We all 77 00:05:08,520 --> 00:05:10,720 Speaker 3: have a pair of weather dice, and we have a 78 00:05:10,800 --> 00:05:14,160 Speaker 3: chance of rolling a double six, a heat wave, a storm, 79 00:05:14,320 --> 00:05:17,479 Speaker 3: a flood, a wildfire, or more at any given time. 80 00:05:18,360 --> 00:05:20,680 Speaker 3: And if we live in Texas, where I live, we 81 00:05:20,720 --> 00:05:24,200 Speaker 3: already have three sixes on our dice because Texas naturally 82 00:05:24,200 --> 00:05:29,600 Speaker 3: gets more extreme weather than any other state. As climate changes, 83 00:05:30,360 --> 00:05:34,440 Speaker 3: as the ocean and the atmosphere are heating up, it's 84 00:05:34,760 --> 00:05:40,840 Speaker 3: supercharging our climate system essentially adding more sixes and even 85 00:05:41,360 --> 00:05:45,080 Speaker 3: nowadays some sevens and even an eight to our dice. 86 00:05:45,600 --> 00:05:49,120 Speaker 3: Events we've never seen before that are stronger, more deadly, 87 00:05:49,200 --> 00:05:52,360 Speaker 3: more dangerous than anything we've experienced. And so all around 88 00:05:52,400 --> 00:05:54,520 Speaker 3: the world we have these weather dice, and we still 89 00:05:54,600 --> 00:05:57,320 Speaker 3: can roll a one or two or three, but the 90 00:05:57,440 --> 00:05:59,800 Speaker 3: chances of rolling a six or a seven or an 91 00:05:59,839 --> 00:06:03,960 Speaker 3: eight eight are increasing year by year the more heat 92 00:06:03,960 --> 00:06:06,800 Speaker 3: trapping gases we produce. And so when we get a 93 00:06:06,839 --> 00:06:08,960 Speaker 3: year like we had last year and the year that 94 00:06:08,960 --> 00:06:11,159 Speaker 3: we're looking at like we're going to have today, when 95 00:06:11,279 --> 00:06:13,640 Speaker 3: every single time you open your news up there is 96 00:06:13,720 --> 00:06:17,440 Speaker 3: a new disaster, a killer heat wave in Southeast Asia, 97 00:06:17,760 --> 00:06:21,960 Speaker 3: record breaking floods in Brazil, biggest wildfire and record in Texas, 98 00:06:22,279 --> 00:06:25,600 Speaker 3: biggest hurricane season predicted in the North Atlantic this summer, 99 00:06:25,880 --> 00:06:28,640 Speaker 3: we think what's happening, Well, that's climate change loading the 100 00:06:28,680 --> 00:06:32,479 Speaker 3: weather dice against us, and again, our future is in 101 00:06:32,520 --> 00:06:35,760 Speaker 3: our hands. The more carbon pollution we produce, the thicker 102 00:06:35,800 --> 00:06:38,560 Speaker 3: the blanket we wrap around our planet, the more high 103 00:06:38,640 --> 00:06:41,200 Speaker 3: numbers are going to start showing up on our dice. 104 00:06:41,960 --> 00:06:46,480 Speaker 2: And are there events that have occurred in the last year, 105 00:06:46,680 --> 00:06:50,480 Speaker 2: I mean near or far from you that have struck 106 00:06:50,520 --> 00:06:53,400 Speaker 2: you as particularly novel or concerning. 107 00:06:54,400 --> 00:07:00,280 Speaker 3: So because of Texas's geographic location, and because it has 108 00:07:00,360 --> 00:07:04,599 Speaker 3: high population density and high infrastructure density, it already gets 109 00:07:04,640 --> 00:07:06,960 Speaker 3: more billion dollar weather in climate disasters than any other 110 00:07:07,000 --> 00:07:10,239 Speaker 3: state in the country. As I said, Texas already has 111 00:07:10,640 --> 00:07:14,760 Speaker 3: three sixes on its weather dice. So as climate changes 112 00:07:14,800 --> 00:07:16,920 Speaker 3: loading the weather dice against us, what do you expect 113 00:07:16,960 --> 00:07:19,640 Speaker 3: to happen to Texas? We expect it to be the 114 00:07:19,640 --> 00:07:23,119 Speaker 3: poster child of how extreme weather is affecting us today. 115 00:07:23,160 --> 00:07:27,360 Speaker 3: And that's exactly what's happening. We are seeing record breaking hurricanes. 116 00:07:27,760 --> 00:07:32,040 Speaker 3: We are seeing massive increases in extreme precipitation. It's more 117 00:07:32,080 --> 00:07:34,280 Speaker 3: often to flood than not these days when it rains, 118 00:07:34,720 --> 00:07:36,560 Speaker 3: we are seeing that. We saw the biggest wildfe on 119 00:07:36,640 --> 00:07:41,240 Speaker 3: record in January. We are seeing incredible extreme heat. I 120 00:07:41,280 --> 00:07:43,000 Speaker 3: was just talking about my newsletter the other day. I've 121 00:07:43,040 --> 00:07:46,920 Speaker 3: lived here for seventeen years, and the last two summers 122 00:07:47,480 --> 00:07:50,600 Speaker 3: we have all in my family gotten heatstroke, some multiple times, 123 00:07:50,760 --> 00:07:53,440 Speaker 3: and we've been drinking more. We've been cutting our time outside. 124 00:07:54,000 --> 00:07:57,480 Speaker 3: I mean, the heat is different. I can feel it, 125 00:07:57,760 --> 00:07:59,480 Speaker 3: and if you look at the stats, you can tell 126 00:07:59,520 --> 00:08:02,720 Speaker 3: it's different at the cutting edge of climate science as 127 00:08:02,720 --> 00:08:07,200 Speaker 3: a field called attribution, where as scientists we can now 128 00:08:07,280 --> 00:08:11,800 Speaker 3: put a number on how much more likely climate change 129 00:08:11,840 --> 00:08:14,880 Speaker 3: made a given event or how much worse it made it. 130 00:08:15,560 --> 00:08:19,320 Speaker 3: So with Hurricane Harvey, for example, which hit Texas in 131 00:08:19,360 --> 00:08:22,880 Speaker 3: twenty seventeen, we now know not only how much more 132 00:08:23,040 --> 00:08:26,400 Speaker 3: rain fell because of climate change supersizing that hurricane, we 133 00:08:26,480 --> 00:08:29,880 Speaker 3: can even draw a map and show which houses flooded 134 00:08:30,280 --> 00:08:32,400 Speaker 3: that would not have flooded if the same hurricane it 135 00:08:32,400 --> 00:08:35,360 Speaker 3: happened one hundred years ago, and put a price tag 136 00:08:35,920 --> 00:08:39,600 Speaker 3: on how much more expensive the damages were. So Hurricane Harvey, 137 00:08:39,679 --> 00:08:42,280 Speaker 3: even though it happened now over six years ago, was 138 00:08:42,360 --> 00:08:46,720 Speaker 3: really a game changer in understanding and quantifying the direct 139 00:08:46,760 --> 00:08:50,720 Speaker 3: impacts of human activities on these extreme events. So since then, 140 00:08:50,880 --> 00:08:54,720 Speaker 3: World Weather Attribution, led by freddie Otto, has turned into 141 00:08:54,760 --> 00:08:58,320 Speaker 3: a rapid response unit where you could have the Brazilian 142 00:08:58,360 --> 00:09:00,720 Speaker 3: floods you know, just the other week, and they've already 143 00:09:00,720 --> 00:09:04,439 Speaker 3: published the attribution study showing that those specific floods were 144 00:09:04,480 --> 00:09:07,360 Speaker 3: at least twice as likely due to climate change. But 145 00:09:07,400 --> 00:09:09,160 Speaker 3: if I had to pick one event so far that 146 00:09:09,200 --> 00:09:11,520 Speaker 3: has really showed how far off the charts we are. 147 00:09:12,320 --> 00:09:15,800 Speaker 3: It would be the massive heat wave and associated wildfires 148 00:09:15,800 --> 00:09:18,360 Speaker 3: that occurred along the western coast of North America from 149 00:09:18,400 --> 00:09:21,560 Speaker 3: British Columbia down into Washington and Oregon State in the 150 00:09:21,600 --> 00:09:25,400 Speaker 3: summer of twenty twenty one. It happened in June, and 151 00:09:25,640 --> 00:09:29,360 Speaker 3: according to attribution studies, it was so far off the 152 00:09:29,400 --> 00:09:32,679 Speaker 3: tail of the distribution that it was at least one 153 00:09:32,840 --> 00:09:36,000 Speaker 3: hundred and fifty times more likely. That is a lot 154 00:09:36,040 --> 00:09:39,080 Speaker 3: of dice waiting. We're talking about. Those dice were weighted 155 00:09:39,400 --> 00:09:42,640 Speaker 3: to basically balance on the tip of the dice. That 156 00:09:42,760 --> 00:09:45,360 Speaker 3: heat wave was like throwing two dice and having both 157 00:09:45,400 --> 00:09:49,400 Speaker 3: of them balanced on the corner, not even falling. That's 158 00:09:49,440 --> 00:09:52,600 Speaker 3: how rare that event was. And the impacts were stunning, 159 00:09:52,880 --> 00:09:56,000 Speaker 3: you know, millions of marine creatures literally boiled to death 160 00:09:56,040 --> 00:09:58,760 Speaker 3: in the ocean. The town of Lytton and British Columbia 161 00:09:59,080 --> 00:10:01,720 Speaker 3: set the all time I'M high temperature record for Canada 162 00:10:01,840 --> 00:10:05,160 Speaker 3: one day, the second day, the third day, and then 163 00:10:05,200 --> 00:10:08,160 Speaker 3: on the fourth day, a wildfire, which of course was 164 00:10:08,200 --> 00:10:11,319 Speaker 3: exacerbated by the record hot and dry conditions, swept through 165 00:10:11,320 --> 00:10:13,200 Speaker 3: and burned about ninety five percent of the town down. 166 00:10:13,880 --> 00:10:17,360 Speaker 3: So that to me is the marker so far, but 167 00:10:17,800 --> 00:10:20,600 Speaker 3: I know for sure that it won't remain that way. 168 00:10:20,760 --> 00:10:22,960 Speaker 3: We are going to see events that are even more 169 00:10:23,000 --> 00:10:26,280 Speaker 3: extreme that pass that likelihood, because again, the more heat 170 00:10:26,280 --> 00:10:28,720 Speaker 3: trapping gases we produce, the thicker the blanket of carbon 171 00:10:28,760 --> 00:10:32,200 Speaker 3: pollution we wrap around the planet, the more higher numbers 172 00:10:32,240 --> 00:10:33,520 Speaker 3: we're going to have on our dice. 173 00:10:34,120 --> 00:10:37,720 Speaker 2: And the you know, like the cocktail party contrarian will say, 174 00:10:38,120 --> 00:10:40,520 Speaker 2: you haven't done an attribution study on all of these 175 00:10:40,520 --> 00:10:41,920 Speaker 2: things that have happened this year. 176 00:10:42,360 --> 00:10:45,200 Speaker 3: Well, we're getting to the point where it's almost possible 177 00:10:45,240 --> 00:10:48,600 Speaker 3: to do that. So if you go to the World 178 00:10:48,600 --> 00:10:52,040 Speaker 3: Weather Attribution website, you'll see that they are picking up 179 00:10:52,080 --> 00:10:54,160 Speaker 3: a lot of events from around the world. And to 180 00:10:54,200 --> 00:10:58,600 Speaker 3: me personally, the event this past year that stood out 181 00:10:58,640 --> 00:11:01,640 Speaker 3: the most as a scientist was not one that was 182 00:11:01,760 --> 00:11:05,240 Speaker 3: on most people's radars. I didn't see a lot of 183 00:11:05,320 --> 00:11:10,160 Speaker 3: news reports about the drought in Syria in Iran, but 184 00:11:10,520 --> 00:11:14,480 Speaker 3: when they did the attribution analysis, what they showed is 185 00:11:14,520 --> 00:11:17,000 Speaker 3: that this drought, which was I think a category four 186 00:11:17,040 --> 00:11:21,240 Speaker 3: and of five severe drought, would not even have been 187 00:11:21,559 --> 00:11:25,400 Speaker 3: a drought if it weren't for human induced climate change. 188 00:11:25,840 --> 00:11:28,480 Speaker 3: It would have been in the low ones, which is 189 00:11:28,559 --> 00:11:31,400 Speaker 3: just sort of a slightly drier than average, it would 190 00:11:31,400 --> 00:11:34,280 Speaker 3: not even have classified as a drought. So that was 191 00:11:34,320 --> 00:11:38,600 Speaker 3: an example where climate change took a small anomaly, a 192 00:11:38,640 --> 00:11:42,240 Speaker 3: small precipitation deficit, and it turned it into a massive, 193 00:11:42,320 --> 00:11:46,200 Speaker 3: severe drought in a part of the world that has 194 00:11:46,760 --> 00:11:49,319 Speaker 3: very you know, a lot of water shortages, a lot 195 00:11:49,360 --> 00:11:53,040 Speaker 3: of civil and political instability, a lot of poverty, all 196 00:11:53,040 --> 00:11:55,800 Speaker 3: of which are exacerbated by that water shortfall. So that 197 00:11:55,920 --> 00:11:58,280 Speaker 3: to me really stood out this past year, and it 198 00:11:58,360 --> 00:12:02,120 Speaker 3: didn't even make headlines because of all the other headlines 199 00:12:02,120 --> 00:12:04,160 Speaker 3: that we already have about the other weather disasters happening 200 00:12:04,200 --> 00:12:07,319 Speaker 3: around the world. A disaster is a function of three things, 201 00:12:07,679 --> 00:12:09,880 Speaker 3: not just one. First of all, you have to have 202 00:12:09,920 --> 00:12:13,480 Speaker 3: the hazard itself, the drought, the wildfire, the heat wave, 203 00:12:13,559 --> 00:12:17,640 Speaker 3: the hurricane or cyclone or typhoon. But then whether it's 204 00:12:17,640 --> 00:12:21,360 Speaker 3: a disaster or not depends on exposure. So if the 205 00:12:21,400 --> 00:12:24,600 Speaker 3: hurricane never makes landfall, if it doesn't you know, if 206 00:12:24,600 --> 00:12:27,040 Speaker 3: it doesn't hit a large city right on the coast 207 00:12:27,080 --> 00:12:30,679 Speaker 3: with people and infrastructure, it isn't a disaster. And then 208 00:12:30,800 --> 00:12:34,959 Speaker 3: if it does make landfall, how vulnerable or how prepared 209 00:12:35,400 --> 00:12:39,440 Speaker 3: are those people. If the same hurricane hits Haiti, the 210 00:12:39,480 --> 00:12:43,160 Speaker 3: poorest country in the Americas, versus the Carolinas, you know, 211 00:12:43,280 --> 00:12:46,800 Speaker 3: relative well developed country, it could be the same hurricane, 212 00:12:46,920 --> 00:12:49,120 Speaker 3: the same strength, with the same rainfall and the same 213 00:12:49,120 --> 00:12:52,600 Speaker 3: wind speeds, but there could be orders of magnitude difference 214 00:12:52,640 --> 00:12:55,280 Speaker 3: in the impacts because of the vulnerability of the system. 215 00:12:56,200 --> 00:12:58,520 Speaker 3: So what that means is there's a lot that we 216 00:12:58,600 --> 00:13:03,200 Speaker 3: can do to mitigate our impacts on climate to prevent 217 00:13:03,240 --> 00:13:06,319 Speaker 3: these hazards from getting worse. But there's also a lot 218 00:13:06,360 --> 00:13:08,320 Speaker 3: we can do right here, right now, especially at the 219 00:13:08,360 --> 00:13:11,920 Speaker 3: local scale, to reduce our vulnerability, to build resilience, to 220 00:13:12,000 --> 00:13:15,000 Speaker 3: ensure people are prepared. Our future truly is in our hands, 221 00:13:15,000 --> 00:13:17,760 Speaker 3: and it's in our hands in multiple ways, at multiple scales. 222 00:13:18,080 --> 00:13:21,319 Speaker 3: And so that's why climate action includes not just reducing 223 00:13:21,800 --> 00:13:25,319 Speaker 3: our emissions of heat trapping gases, but also building resilience 224 00:13:25,320 --> 00:13:31,479 Speaker 3: to the impacts that are already here today. 225 00:13:33,120 --> 00:13:36,840 Speaker 1: After the break, Eric and Catherine discuss something called compound 226 00:13:36,880 --> 00:13:40,040 Speaker 1: events weather events that stack up on top of each 227 00:13:40,080 --> 00:13:44,080 Speaker 1: other with no one effects. By the way, if you've 228 00:13:44,120 --> 00:13:46,559 Speaker 1: been enjoying this episode, please take a moment to rate 229 00:13:46,600 --> 00:13:49,800 Speaker 1: and review the show on Apple Podcasts or Spotify. It 230 00:13:49,880 --> 00:13:52,079 Speaker 1: really helps other listeners find it. 231 00:13:57,720 --> 00:14:00,920 Speaker 2: You know, I was thinking about conversations I had a 232 00:14:00,960 --> 00:14:05,040 Speaker 2: long time ago, fifteen years ago maybe, and a colleague saying, 233 00:14:05,160 --> 00:14:07,240 Speaker 2: you know, I think ten years from now is going 234 00:14:07,280 --> 00:14:09,079 Speaker 2: to be really interesting because you know, the signal is 235 00:14:09,120 --> 00:14:11,960 Speaker 2: going to come out of the noise. And I've only 236 00:14:11,960 --> 00:14:16,480 Speaker 2: been realizing recently that like compound events is how we're 237 00:14:16,559 --> 00:14:19,160 Speaker 2: actually is how this is actually going to go down. 238 00:14:20,040 --> 00:14:22,760 Speaker 2: Compound events, which is something today nobody's heard of, is 239 00:14:22,800 --> 00:14:27,160 Speaker 2: actually in three to ten years going to be how 240 00:14:27,160 --> 00:14:31,120 Speaker 2: we define climate change. And so this is long. This 241 00:14:31,200 --> 00:14:34,840 Speaker 2: is a long preamble to saying like when I was 242 00:14:34,880 --> 00:14:37,800 Speaker 2: talking to my colleague ten or fifteen years ago, I 243 00:14:37,840 --> 00:14:40,000 Speaker 2: felt like I knew what the narrative was going to be, 244 00:14:40,600 --> 00:14:43,920 Speaker 2: and that narrative has largely come true because the science 245 00:14:44,040 --> 00:14:48,440 Speaker 2: was largely correct. But like with the rise of compound events, 246 00:14:48,520 --> 00:14:52,520 Speaker 2: I don't understand what the narrative is anymore, right, Am 247 00:14:52,520 --> 00:14:55,000 Speaker 2: I just not reading the right things? Or is there 248 00:14:55,200 --> 00:15:01,000 Speaker 2: just more uncertainty about what the next phase looks like. 249 00:15:03,520 --> 00:15:07,960 Speaker 3: So nearly eight years ago, Bob Copp and I wrote 250 00:15:07,960 --> 00:15:12,960 Speaker 3: a chapter for the fourth US National Climate Assessment on 251 00:15:13,120 --> 00:15:17,960 Speaker 3: potential surprises. We talked about tipping points in the climate system, 252 00:15:18,040 --> 00:15:20,360 Speaker 3: we talked about impacts that we know that we don't know, 253 00:15:20,840 --> 00:15:24,720 Speaker 3: and we talked about the risk of compound events, and 254 00:15:24,800 --> 00:15:26,920 Speaker 3: we showed that as these weather dice are getting loaded 255 00:15:26,920 --> 00:15:30,160 Speaker 3: against us, we do expect compound events to increase. Where 256 00:15:30,320 --> 00:15:32,840 Speaker 3: either the definition for compound events is either you have 257 00:15:32,920 --> 00:15:37,440 Speaker 3: sequential events in the same place. So for example, in California, 258 00:15:37,520 --> 00:15:40,200 Speaker 3: you could have a terrible wildfire season that destroys a 259 00:15:40,200 --> 00:15:42,280 Speaker 3: lot of the vegetation, and then it could be followed 260 00:15:42,320 --> 00:15:47,160 Speaker 3: by very severe and strong atmospheric river that with no 261 00:15:47,400 --> 00:15:51,040 Speaker 3: roots to anchor the slopes and heavy rainfall falling, the 262 00:15:51,160 --> 00:15:54,200 Speaker 3: risk of landslides is much greater than it would have 263 00:15:54,240 --> 00:15:56,960 Speaker 3: been if you only had the wildfire or you only 264 00:15:57,000 --> 00:16:01,360 Speaker 3: had the atmospheric river by itself. So that's the first 265 00:16:01,360 --> 00:16:03,520 Speaker 3: type of compound event, where they occur sequentially in the 266 00:16:03,520 --> 00:16:06,120 Speaker 3: same place. But then the second type of compound event 267 00:16:06,400 --> 00:16:08,120 Speaker 3: is where you have events that occur at the same 268 00:16:08,160 --> 00:16:10,000 Speaker 3: time in different parts of the same region or the 269 00:16:10,000 --> 00:16:12,960 Speaker 3: same country. So take the United States for example, or 270 00:16:13,000 --> 00:16:16,320 Speaker 3: take all of North America, there's only so many firefighters. 271 00:16:17,120 --> 00:16:21,280 Speaker 3: And it turns out that from Alaska through Canada to 272 00:16:21,280 --> 00:16:24,440 Speaker 3: the United States, there is a well established practice of 273 00:16:24,560 --> 00:16:26,920 Speaker 3: based on when the wildfire season starts and ends in 274 00:16:26,920 --> 00:16:30,920 Speaker 3: each different place, crews of firefighters move around the continent 275 00:16:32,000 --> 00:16:35,000 Speaker 3: to be in different places depending on when the season. 276 00:16:35,040 --> 00:16:38,640 Speaker 3: Traditionally used to be well. Now, unfortunately the season is extended, 277 00:16:38,680 --> 00:16:41,560 Speaker 3: it's much longer, and they have many more fires burning 278 00:16:41,600 --> 00:16:43,800 Speaker 3: greater area in much of those places, and so there 279 00:16:43,800 --> 00:16:46,480 Speaker 3: aren't enough firefighters to go around anymore. We just don't 280 00:16:46,480 --> 00:16:49,120 Speaker 3: have the resources. You could say, the same resources about 281 00:16:49,120 --> 00:16:52,080 Speaker 3: FEMA or the National Guard. And where this is really 282 00:16:52,120 --> 00:16:54,800 Speaker 3: coming home to roost in terms of compound events is 283 00:16:54,840 --> 00:16:59,080 Speaker 3: in insurance. So insurance companies have been tracking this for 284 00:16:59,120 --> 00:17:01,240 Speaker 3: a long time and they've gotten to the point where 285 00:17:01,240 --> 00:17:04,040 Speaker 3: there are some areas in the United States that have 286 00:17:04,359 --> 00:17:08,520 Speaker 3: such high risk of compound events occurring sequentially or within 287 00:17:08,560 --> 00:17:12,840 Speaker 3: the same state, that they're pulling out of areas in California, 288 00:17:13,200 --> 00:17:18,000 Speaker 3: in Texas, in Florida, in Louisiana, or in other places. 289 00:17:18,000 --> 00:17:20,440 Speaker 3: They're just jacking the prices through the roof to the 290 00:17:20,480 --> 00:17:23,080 Speaker 3: point where somebody who owns like a normal home, you know, 291 00:17:23,119 --> 00:17:25,879 Speaker 3: with a couple of young toddlers, their insurance could go 292 00:17:25,880 --> 00:17:27,800 Speaker 3: from two thousand year to five thousand a year in 293 00:17:27,960 --> 00:17:31,680 Speaker 3: just one year. And if people can't get insurance, then 294 00:17:31,680 --> 00:17:33,879 Speaker 3: they can't get a mortgage because a mortgage requires you 295 00:17:33,920 --> 00:17:37,240 Speaker 3: to have insurance. So we are seeing the insurance industry 296 00:17:37,320 --> 00:17:41,400 Speaker 3: respond to these compound events, but we aren't really seeing 297 00:17:41,480 --> 00:17:44,840 Speaker 3: anyone else respond at scale. And what that's going to 298 00:17:44,920 --> 00:17:49,760 Speaker 3: require is it's going to require massively more resources to 299 00:17:49,840 --> 00:17:53,000 Speaker 3: cope with the same types of disasters, whether it's floods, hurricanes, 300 00:17:53,040 --> 00:17:55,640 Speaker 3: heat waves, droughts, or wildfires, because if you have many 301 00:17:55,640 --> 00:17:57,919 Speaker 3: of them occurring at the same time, you can't just 302 00:17:57,960 --> 00:17:59,760 Speaker 3: have these teams that you send out to help. You 303 00:17:59,800 --> 00:18:02,320 Speaker 3: have to have a lot more people, and that means 304 00:18:02,320 --> 00:18:05,800 Speaker 3: it's a lot more expensive, right. And then also we 305 00:18:05,840 --> 00:18:09,040 Speaker 3: have compound events on the global supply chain, and so 306 00:18:09,200 --> 00:18:11,800 Speaker 3: we can have, you know, the impact of a flood 307 00:18:11,800 --> 00:18:15,280 Speaker 3: that knocks out a chip producer in Southeast Asia that 308 00:18:15,359 --> 00:18:18,640 Speaker 3: can have repercussions on the availabilities of computers in North America. 309 00:18:19,200 --> 00:18:22,240 Speaker 3: Our world is so interconnected, not just physically but economically 310 00:18:22,320 --> 00:18:26,280 Speaker 3: and socially that these impacts, and we haven't even talked 311 00:18:26,280 --> 00:18:30,320 Speaker 3: about refugee crises and migration, climate migration, they can have 312 00:18:30,359 --> 00:18:32,600 Speaker 3: all of these cascador and knock on effects that I 313 00:18:32,600 --> 00:18:34,960 Speaker 3: think we're only just beginning to understand. 314 00:18:37,640 --> 00:18:42,000 Speaker 1: That was Eric Rosston speaking with Catherine Haho. It's such 315 00:18:42,000 --> 00:18:44,560 Speaker 1: a treat to listen to a sign to speak so eloquently, 316 00:18:45,000 --> 00:18:49,680 Speaker 1: and she always brings these amazing examples. Now before we go, Eric, 317 00:18:49,920 --> 00:18:53,600 Speaker 1: there's a question that vis climate reporters get asked often, 318 00:18:55,160 --> 00:18:59,240 Speaker 1: which is, given how much you know about climate change, 319 00:19:00,119 --> 00:19:03,200 Speaker 1: much you have to read about climate impacts all around 320 00:19:03,280 --> 00:19:09,840 Speaker 1: the world, are you optimistic? And I hate that question. 321 00:19:10,080 --> 00:19:13,080 Speaker 2: I hate that question, but I. 322 00:19:13,000 --> 00:19:17,080 Speaker 1: Also understand why we get asked that question. Of course, 323 00:19:17,400 --> 00:19:18,560 Speaker 1: do you have a pet answer? 324 00:19:20,040 --> 00:19:23,120 Speaker 2: My answer is, first of all, pessimist don't say they're pessimists, 325 00:19:23,119 --> 00:19:27,199 Speaker 2: they say they're realists. But also the conversation presupposes that 326 00:19:27,240 --> 00:19:31,160 Speaker 2: you're an observer. It's like this thing is happening before you. 327 00:19:31,640 --> 00:19:33,760 Speaker 2: What do you think is going to happen? Like, if 328 00:19:33,760 --> 00:19:35,560 Speaker 2: you're an optimist, do you think it's going to get better? 329 00:19:35,600 --> 00:19:37,080 Speaker 2: If you're a pessimist, do you think it's going to 330 00:19:37,119 --> 00:19:40,119 Speaker 2: get worse? But what I want to know is not 331 00:19:40,240 --> 00:19:44,439 Speaker 2: if you're an optimist or a pessimist, what are you 332 00:19:44,640 --> 00:19:47,960 Speaker 2: doing about it? You know what is within your power, 333 00:19:48,359 --> 00:19:51,080 Speaker 2: and among the things that are within your power, what 334 00:19:51,200 --> 00:19:52,160 Speaker 2: are you doing about it? 335 00:19:52,800 --> 00:20:00,560 Speaker 1: Thank you, Eric, Thanks so much for having me. Thank 336 00:20:00,600 --> 00:20:02,920 Speaker 1: you for listening to Zero. If you liked this episode, 337 00:20:03,080 --> 00:20:05,160 Speaker 1: please take a moment to rate and review the show 338 00:20:05,320 --> 00:20:08,959 Speaker 1: on Apple or Spotify. Share this episode with a friend 339 00:20:09,200 --> 00:20:11,760 Speaker 1: or with the Texan. You can get in touch at 340 00:20:11,840 --> 00:20:15,440 Speaker 1: Zero pod at Bloomberg dot Net. Zero's producer is Mithy 341 00:20:15,440 --> 00:20:18,879 Speaker 1: li Rao. Bloomberg's head of podcast is Sage Bauman and 342 00:20:18,960 --> 00:20:22,119 Speaker 1: head of Talk is Brendan Newnan. Our team music is 343 00:20:22,160 --> 00:20:25,040 Speaker 1: composed by Wonderly Special thanks to Key up in the Room, 344 00:20:25,119 --> 00:20:29,639 Speaker 1: Annamazarakis and Alisia Clinton. I am Akshatrati back so