1 00:00:00,770 --> 00:00:02,239 Announcer: This is a Getty podcast. 2 00:00:02,239 --> 00:00:02,269 [Theme music begins] 3 00:00:02,269 --> 00:00:02,289 4 00:00:05,750 --> 00:00:10,580 Hi, I’m Lilit Sadoyan, the host of OMMM, Our Museum 5 00:00:10,670 --> 00:00:14,370 Mindfulness Meditation podcast, Getty’s first video podcast. 6 00:00:15,580 --> 00:00:18,610 Welcome to this Deeper Dive, where we explore the themes 7 00:00:18,639 --> 00:00:21,609 of our weekly episodes with experts in everything 8 00:00:21,609 --> 00:00:24,500 from paintings conservation to the history of sleep. 9 00:00:24,510 --> 00:00:28,009 Marek Slipski: Clouds are ubiquitous across planetary 10 00:00:28,639 --> 00:00:32,959 atmospheres, whether it’s, Earth, Mars’ thin 11 00:00:33,119 --> 00:00:36,419 atmosphere, Venus’ thick atmosphere, or the giant 12 00:00:36,419 --> 00:00:37,820 planets like Jupiter and Saturn. 13 00:00:37,860 --> 00:00:39,249 You see clouds everywhere. 14 00:00:39,259 --> 00:00:41,059 Sadoyan: This week, we did a thought clouds 15 00:00:41,059 --> 00:00:44,830 meditation inspired by Simon Denis’ Study of Clouds 16 00:00:44,869 --> 00:00:46,159 with a Sunset near Rome. 17 00:00:47,250 --> 00:00:50,039 To learn more about clouds and the way they capture our 18 00:00:50,039 --> 00:00:54,539 imaginations, I spoke with Marek Slipski, a scientist at 19 00:00:54,539 --> 00:00:58,540 the Jet Propulsion Laboratories in Pasadena, who researches 20 00:00:58,579 --> 00:01:01,139 clouds and climate on Mars. 21 00:01:01,879 --> 00:01:03,059 Now let’s dive in. 22 00:01:03,969 --> 00:01:04,179 [On video call] 23 00:01:04,179 --> 00:01:04,709 Hi, Marek. 24 00:01:04,709 --> 00:01:06,539 Thank you so much for joining us today. 25 00:01:06,909 --> 00:01:08,029 Slipski: Yeah, thanks for having me. 26 00:01:08,040 --> 00:01:09,049 Really excited to be here. 27 00:01:10,239 --> 00:01:10,880 Sadoyan: Thank you. 28 00:01:11,150 --> 00:01:14,400 So this week we focused on a thought-clouds meditation 29 00:01:14,400 --> 00:01:19,030 inspired by a cloud painting by Simon Denis, and we are 30 00:01:19,030 --> 00:01:22,189 talking today about the significance of clouds both 31 00:01:22,189 --> 00:01:23,820 physically and emotionally. 32 00:01:24,739 --> 00:01:29,250 Personally, I have been looking up at the clouds for a very 33 00:01:29,250 --> 00:01:31,319 long time, since childhood. 34 00:01:31,329 --> 00:01:35,699 We are all just so enamored by clouds, and I’m curious to 35 00:01:35,699 --> 00:01:38,939 hear from you why you think clouds are so appealing. 36 00:01:38,949 --> 00:01:38,959 37 00:01:38,959 --> 00:01:42,119 Slipski: Yeah, it’s a great question. 38 00:01:42,259 --> 00:01:47,439 I don’t have the one answer to that, but, they’re something 39 00:01:47,449 --> 00:01:48,949 we see every day, right? 40 00:01:48,949 --> 00:01:51,749 And I think we’ve all had these experiences as kids 41 00:01:51,769 --> 00:01:54,389 and spending time outside watching the clouds overhead. 42 00:01:55,879 --> 00:01:57,779 But it—they’re not static there, right? 43 00:01:57,779 --> 00:02:01,410 They move across the sky. 44 00:02:02,549 --> 00:02:04,809 What’s there one day isn’t there the next, but there 45 00:02:04,809 --> 00:02:05,890 might be something different. 46 00:02:07,489 --> 00:02:09,529 So they move in real time. 47 00:02:11,779 --> 00:02:12,859 But they’re also ephemeral. 48 00:02:12,860 --> 00:02:14,179 They come and go. 49 00:02:14,399 --> 00:02:19,629 Uh, and there’s something that’s easy to 50 00:02:19,699 --> 00:02:24,409 connect with there and, kind of, is a constant but is also 51 00:02:24,410 --> 00:02:27,079 highly variable that, that makes them really interesting. 52 00:02:27,580 --> 00:02:28,129 Sadoyan: Mm-hmm. 53 00:02:28,639 --> 00:02:30,669 And like you said, they’re ephemeral. 54 00:02:30,669 --> 00:02:32,069 They’re constantly changing. 55 00:02:32,080 --> 00:02:34,539 They also can affect our mood, right? 56 00:02:35,389 --> 00:02:37,859 So what do you think about the emotional 57 00:02:37,869 --> 00:02:39,110 significance of clouds? 58 00:02:39,989 --> 00:02:40,699 Slipski: Yeah. 59 00:02:40,750 --> 00:02:44,239 They, you know, I think you can imagine a storm cloud 60 00:02:44,440 --> 00:02:47,619 and the kind of cartoon image of a rain 61 00:02:47,619 --> 00:02:48,959 cloud following somebody. 62 00:02:48,959 --> 00:02:53,189 So there’s obviously that, like, stereotypical, 63 00:02:53,259 --> 00:02:59,299 kind of connection, rainy day type, sadness association. 64 00:02:59,300 --> 00:03:02,410 But also the being outside on a sunny day with 65 00:03:02,410 --> 00:03:05,410 smaller clouds of different shapes passing overhead and 66 00:03:07,660 --> 00:03:12,210 that being, like, a very relaxing zen-type moment. 67 00:03:12,650 --> 00:03:20,299 Um, I think there’s also maybe a subconscious connection with 68 00:03:20,329 --> 00:03:23,850 what we all read about with respect to climate change. 69 00:03:23,850 --> 00:03:28,319 And even if we’re all not intimately familiar with the, 70 00:03:29,500 --> 00:03:32,789 kind of the physical connections of clouds with climate change, 71 00:03:33,040 --> 00:03:35,820 we see the weather changing every day, and we notice 72 00:03:35,820 --> 00:03:37,199 things like that over time. 73 00:03:39,149 --> 00:03:41,829 And so for some, maybe that’s something that... 74 00:03:42,930 --> 00:03:45,049 it’s not easy to express, but it’s clearly there. 75 00:03:45,059 --> 00:03:50,389 Sadoyan: So what is the connection between clouds 76 00:03:50,439 --> 00:03:52,799 and climate change, or what can clouds tell us 77 00:03:52,799 --> 00:03:53,959 about climate change? 78 00:03:54,919 --> 00:03:58,040 Slipski: Clouds play a really important role in the climate. 79 00:03:58,829 --> 00:04:01,769 They have—they can have two sort of competing effects: 80 00:04:02,769 --> 00:04:07,209 they both reflect incoming solar radiation, so they 81 00:04:07,209 --> 00:04:13,019 reflect sunlight, which acts to cool the atmosphere below. 82 00:04:13,559 --> 00:04:15,849 But they also absorb and emit in the infrared. 83 00:04:15,860 --> 00:04:17,839 They can have that sort of greenhouse effect 84 00:04:17,839 --> 00:04:19,640 and warm the atmosphere. 85 00:04:20,479 --> 00:04:25,529 And so the net effect is dependent on sort of the 86 00:04:25,529 --> 00:04:29,330 details, the very small details of the properties of the 87 00:04:29,330 --> 00:04:36,169 cloud, how big or small the droplets are, the size and 88 00:04:36,169 --> 00:04:37,619 shape of the clouds, right? 89 00:04:37,619 --> 00:04:42,079 We know that things can take up large areas and also 90 00:04:42,079 --> 00:04:43,590 be very vertically extended. 91 00:04:43,930 --> 00:04:47,159 And that might have a quite a different impact than sort 92 00:04:47,159 --> 00:04:48,959 of thin cirrus-type clouds. 93 00:04:50,699 --> 00:04:52,970 And a lot of scientists are really focused on this. 94 00:04:53,049 --> 00:04:56,299 When we run global climate models 95 00:04:58,309 --> 00:05:01,369 to understand how the climate is changing, clouds can be 96 00:05:01,369 --> 00:05:03,989 a big source of uncertainty, not just because they have 97 00:05:03,989 --> 00:05:06,599 this competing effect, but they show up in different 98 00:05:06,599 --> 00:05:08,289 places at different times. 99 00:05:09,379 --> 00:05:12,629 If you look at images of Earth from space, you’ll see 100 00:05:12,629 --> 00:05:14,360 that day-to-day variability. 101 00:05:15,489 --> 00:05:21,390 And, over time, that leads to uncertainty in the 102 00:05:21,390 --> 00:05:22,380 state of the atmosphere. 103 00:05:23,370 --> 00:05:27,739 Sadoyan: And as an atmospheric scientist, I know you care a 104 00:05:27,739 --> 00:05:30,139 lot about clouds in your role. 105 00:05:30,610 --> 00:05:32,460 How did you come to study clouds? 106 00:05:32,460 --> 00:05:34,799 Is this something that you were interested in from 107 00:05:34,860 --> 00:05:37,950 childhood, or do you have any early memories of clouds? 108 00:05:37,950 --> 00:05:43,099 Slipski: I do have those, uh, canonical memories of watching 109 00:05:43,099 --> 00:05:47,130 the clouds pass overhead, but I actually never really 110 00:05:47,130 --> 00:05:48,619 intended to study clouds. 111 00:05:49,080 --> 00:05:52,489 I’ve always been interested in planets. 112 00:05:53,759 --> 00:05:57,229 And I am particularly focused on Mars. 113 00:05:57,230 --> 00:05:59,300 I’ve always been interested in the question of, is 114 00:05:59,300 --> 00:06:00,300 there life out there? 115 00:06:00,300 --> 00:06:03,799 And, and Mars is one of these places that we can kind of 116 00:06:03,810 --> 00:06:08,400 scratch the surface of and try to test whether or not 117 00:06:08,420 --> 00:06:11,950 there is life elsewhere. 118 00:06:12,570 --> 00:06:15,079 And I’ve come at this from the sort of 119 00:06:15,359 --> 00:06:16,740 habitability side of things. 120 00:06:16,750 --> 00:06:21,049 So Mars today, the atmosphere is very cold and thin, and 121 00:06:21,139 --> 00:06:24,099 you can’t have liquid water on the surface. 122 00:06:24,900 --> 00:06:29,640 But we know from the surface that there used 123 00:06:29,640 --> 00:06:30,919 to be liquid water. 124 00:06:32,189 --> 00:06:35,340 So that atmosphere four billion years ago was warmer, 125 00:06:35,669 --> 00:06:38,619 thicker, and something happened to change that. 126 00:06:38,750 --> 00:06:42,579 And so I’ve spent a lot of time focused on the 127 00:06:42,809 --> 00:06:45,950 upper atmosphere of Mars above where you see any clouds, 128 00:06:46,579 --> 00:06:51,139 but where you can see the sun interact with particles 129 00:06:51,139 --> 00:06:54,839 in the upper atmosphere and drive them away into space. 130 00:06:56,049 --> 00:06:59,439 And over time, over billions of years, uh, that atmosphere 131 00:06:59,439 --> 00:07:00,489 has been stripped away. 132 00:07:01,439 --> 00:07:04,440 But as I learned about the upper atmosphere of Mars, 133 00:07:04,440 --> 00:07:09,440 and I’ve sort of come down to lower levels and not 134 00:07:09,440 --> 00:07:13,119 too far below that, there are high-altitude clouds on Mars. 135 00:07:13,729 --> 00:07:17,329 We have high-altitude clouds on Earth, noctilucent 136 00:07:17,389 --> 00:07:20,869 clouds, they’re called, polar mesospheric clouds, where 137 00:07:20,919 --> 00:07:23,409 at nighttime, you can see these because of the angle 138 00:07:23,409 --> 00:07:26,629 of the sun, and they’re— they actually—noctilucent 139 00:07:26,629 --> 00:07:28,489 means night-shining clouds. 140 00:07:28,739 --> 00:07:32,289 You may have seen these outside. 141 00:07:33,299 --> 00:07:36,659 But we see similar things on Mars, uh, and I’ve been 142 00:07:36,659 --> 00:07:37,979 studying those a lot recently. 143 00:07:37,989 --> 00:07:40,579 Sadoyan: Sounds so beautiful. 144 00:07:41,449 --> 00:07:43,409 So you’re studying clouds on Mars. 145 00:07:43,559 --> 00:07:46,609 How are these clouds different from the clouds on Earth? 146 00:07:46,610 --> 00:07:48,579 Slipski: Yes. 147 00:07:48,669 --> 00:07:52,819 On Earth, all the clouds are water droplets. 148 00:07:52,959 --> 00:07:56,510 Uh, right, water vapor in the atmosphere condenses 149 00:07:56,910 --> 00:07:59,539 usually onto a seed particle, a condensation nuclei, 150 00:08:01,430 --> 00:08:04,699 and you get liquid water in the atmosphere, and that’s 151 00:08:04,770 --> 00:08:05,850 obviously what rain is. 152 00:08:06,069 --> 00:08:07,799 There are some clouds that have ice mixed in 153 00:08:07,800 --> 00:08:08,840 them as well on Earth. 154 00:08:09,110 --> 00:08:13,840 But on Mars, the atmosphere is very cold and it’s very thin. 155 00:08:14,119 --> 00:08:17,309 And so just like on the surface of Mars, you can’t have liquid 156 00:08:17,309 --> 00:08:19,689 water, you don’t get liquid water in the atmosphere. 157 00:08:19,899 --> 00:08:24,009 That water vapor in the atmosphere, uh, freezes 158 00:08:24,239 --> 00:08:25,429 directly into ice. 159 00:08:26,160 --> 00:08:29,300 So you have a lot of water ice clouds on Mars, especially 160 00:08:29,300 --> 00:08:32,670 over topographical features like the volcanoes. 161 00:08:33,539 --> 00:08:38,629 But interestingly, you also find CO2—carbon dioxide—ice 162 00:08:38,779 --> 00:08:41,819 clouds, dry ice clouds. 163 00:08:42,199 --> 00:08:45,600 Um, and carbon dioxide is the main constituent 164 00:08:45,619 --> 00:08:46,710 of Mars’ atmosphere. 165 00:08:46,710 --> 00:08:49,880 It’s about 95% CO2. 166 00:08:49,880 --> 00:08:52,649 So the main constituent is actually freezing out because 167 00:08:52,649 --> 00:08:55,699 in certain places and at certain times, it gets really cold. 168 00:08:57,120 --> 00:08:59,709 Sadoyan: So can what we’re learning about clouds on 169 00:08:59,710 --> 00:09:03,240 Mars reflect what we know about Earth and vice versa? 170 00:09:03,849 --> 00:09:05,230 Slipski: Absolutely. 171 00:09:05,870 --> 00:09:10,530 I think at a high level, there are, you know, only 172 00:09:10,530 --> 00:09:15,680 a few atmospheres that we can—that we can really study 173 00:09:15,689 --> 00:09:18,530 and learn about clouds, which isn’t to say that clouds 174 00:09:18,530 --> 00:09:20,329 don’t form on other planets. 175 00:09:20,369 --> 00:09:23,579 Clouds are ubiquitous, across planetary atmospheres, 176 00:09:24,240 --> 00:09:29,869 whether it’s, Earth, uh, Mars’ thin atmosphere, Venus’ 177 00:09:29,880 --> 00:09:33,289 thick atmosphere, or the giant planets like Jupiter and Saturn. 178 00:09:33,320 --> 00:09:34,750 You see clouds everywhere. 179 00:09:36,100 --> 00:09:42,239 But these questions of the small scale of how different molecules 180 00:09:42,279 --> 00:09:47,829 condense or freeze and, uh, sort of the environments they 181 00:09:47,829 --> 00:09:53,469 need for that to happen, are fundamental physical questions. 182 00:09:53,879 --> 00:09:58,639 So on Mars in particular, we’re trying to learn a lot more 183 00:09:58,639 --> 00:10:03,719 about how these ices form, how you go from water vapor directly 184 00:10:03,729 --> 00:10:09,749 into ice, and how the–how the seed particles that they form on 185 00:10:10,330 --> 00:10:12,230 matter and shape that process. 186 00:10:12,500 --> 00:10:16,429 For instance, these high altitude clouds, we’re not 187 00:10:16,779 --> 00:10:19,959 sure whether the particles they’re forming on are 188 00:10:20,709 --> 00:10:22,109 dust from the surface. 189 00:10:22,449 --> 00:10:27,669 Mars has these incredible dust storms sometimes completely 190 00:10:27,669 --> 00:10:28,729 enveloping the planet. 191 00:10:29,839 --> 00:10:32,189 But we’re not sure if those dust particles make it up to 192 00:10:32,189 --> 00:10:35,759 high altitudes where water vapor can freeze or if it’s 193 00:10:36,040 --> 00:10:42,430 meteor—basically particles from meteors that burn up in 194 00:10:42,430 --> 00:10:46,129 the atmosphere where you get individual small particles, 195 00:10:46,129 --> 00:10:48,249 and maybe those are what these clouds are forming on. 196 00:10:48,259 --> 00:10:49,330 It’s still an open question. 197 00:10:49,339 --> 00:10:52,959 Sadoyan: Well, we’ve talked about cloud watching here 198 00:10:52,959 --> 00:10:56,809 on Earth and looking at clouds from images in space. 199 00:10:57,250 --> 00:11:00,179 Do you have any suggestions for our listeners who 200 00:11:00,199 --> 00:11:04,189 would love to enter this meditative state with clouds? 201 00:11:04,189 --> 00:11:06,730 Slipski: I sure do! [laughs] 202 00:11:06,730 --> 00:11:09,320 So I help lead a project called 203 00:11:09,339 --> 00:11:10,899 Cloud Spotting on Mars. 204 00:11:11,369 --> 00:11:16,550 Um, this is a citizen science project where we use real NASA 205 00:11:16,619 --> 00:11:21,140 data that’s come from the Mars Reconnaissance 206 00:11:21,160 --> 00:11:23,970 Orbiter, which has been at Mars for 20 years now. 207 00:11:24,889 --> 00:11:29,489 I work with an instrument called the Mars Climate Sounder, and we 208 00:11:30,500 --> 00:11:32,929 can identify clouds in our data. 209 00:11:33,739 --> 00:11:40,049 We’re an infrared instrument, so the data we show volunteers 210 00:11:40,769 --> 00:11:44,239 aren’t images of clouds but the clouds have a particular 211 00:11:44,250 --> 00:11:49,460 shape to them where you can find them and mark them. 212 00:11:49,539 --> 00:11:53,780 And we use that data to kind of look at the distribution 213 00:11:53,780 --> 00:11:55,890 of clouds and try to figure out what they’re made of. 214 00:11:56,370 --> 00:12:00,660 Um, it’s really been a lot of fun to do a 215 00:12:00,660 --> 00:12:01,740 citizen science project. 216 00:12:01,770 --> 00:12:03,720 This is my first foray into this. 217 00:12:04,400 --> 00:12:07,760 And we’ve had a lot of great conversations with participants 218 00:12:07,760 --> 00:12:11,990 in our project, and a lot have commented that they use it 219 00:12:12,129 --> 00:12:16,600 to enter a sort of meditative state, something that’s 220 00:12:16,600 --> 00:12:21,869 very different from their normal day-to-day, where they could log 221 00:12:21,869 --> 00:12:25,760 in, start to find these clouds, and enter a kind of flow state 222 00:12:25,760 --> 00:12:27,979 and, and engage with science. 223 00:12:28,029 --> 00:12:30,219 This is, this is data that we use in research. 224 00:12:30,230 --> 00:12:33,749 Sadoyan: What a wonderful way to contribute to science and relax. 225 00:12:35,239 --> 00:12:38,029 Well, thank you so much, Merrick, for joining us on 226 00:12:38,039 --> 00:12:40,019 the OMMM podcast this week. 227 00:12:40,039 --> 00:12:41,589 Slipski: Thank you! 228 00:12:41,589 --> 00:12:42,519 [Theme music plays] 229 00:12:42,519 --> 00:12:45,880 Sadoyan: To find the related meditation and see images, 230 00:12:46,049 --> 00:12:49,489 transcripts, and additional resources, visit our website 231 00:12:49,539 --> 00:12:51,899 at getty dot edu slash ommm. 232 00:12:52,340 --> 00:12:54,560 That’s O-M-M-M.