1 00:00:00,000 --> 00:00:15,012 [Piano playing] 2 00:00:15,012 --> 00:00:18,015 [Female speaker] The weather in this area is very dynamic. 3 00:00:19,016 --> 00:00:23,019 [Male speaker] The way that pollution impacts extreme weather\hconditions is extremely complicated 4 00:00:23,052 --> 00:00:26,355 and we don't\hreally fully understand it, which is why we're\hout here in the first place. 5 00:00:26,421 --> 00:00:29,850 We're trying to\hinvestigate this in one of the most complex\h\h 6 00:00:29,850 --> 00:00:35,160 meteorological regimes in the world. That is\h around the South China Sea and Western Pacific\h\h 7 00:00:35,160 --> 00:00:43,050 [Air crew communication over headset] 8 00:00:43,050 --> 00:00:47,970 [Aircraft engine sounds] 9 00:00:47,970 --> 00:00:55,344 The largest uncertainty that we have right now\hin climate forcing is the relationship of aerosol\hparticles on cloud systems. 10 00:00:55,344 --> 00:00:58,410 ...and in Southeast\h Asia, two of the biggest sources of pollution are\h\h 11 00:00:58,410 --> 00:01:03,330 pollution from various sorts of cities like\h Metro Manila, 20 million people live\hthere. 12 00:01:03,330 --> 00:01:07,680 The other really important source\h of pollution in this area is from biomass\hburning. 13 00:01:07,687 --> 00:01:11,160 [Female speaker] And what's really interesting\h in this region is that we have both.\h\h 14 00:01:11,160 --> 00:01:15,840 We both have this anthropogenic pollution\h as well as this biomass burning pollution.\h\h 15 00:01:15,840 --> 00:01:23,934 So this is really sort of ground central for\hweather observations and weather and climate\hmodeling for earth system science. 16 00:01:24,201 --> 00:01:28,800 [Air crew communications over headset] 17 00:01:28,800 --> 00:01:33,115 [Aircraft engine takeoff sounds and air crew communications] 18 00:01:35,109 --> 00:01:48,019 [instrumental music with sound of wind] 19 00:01:48,353 --> 00:01:53,200 [Female speaker] So in this region there's a monsoon season that\hhappens every year. We have this evaporative\h\h 20 00:01:53,200 --> 00:02:00,996 process of water vapor from the ocean and as\hthat water vapor cools and condenses as it\hgets lifted up you form clouds. 21 00:02:01,697 --> 00:02:08,002 After they turn\hinto clouds, processes happen inside the cloud to\h\hcollide the different cloud droplets together 22 00:02:08,402 --> 00:02:10,390 and\heventually make droplets that are big enough to\h\h 23 00:02:10,390 --> 00:02:15,700 rain out of the clouds, and that rain goes back\h into the ocean and completes the water cycle. 24 00:02:15,700 --> 00:02:18,410 [instrumental music] 25 00:02:18,790 --> 00:02:24,790 [Male speaker] One of the long-standing hypotheses that have\h been in the scientific community that pollution\h\h 26 00:02:24,790 --> 00:02:32,110 emissions, whether it's from cities, shipping, or\h biomass burning, or deforestation, can affect the\h\h 27 00:02:32,110 --> 00:02:38,026 climate and in particular there's concern in\h the scientific community that these emissions\hcan affect clouds. 28 00:02:38,226 --> 00:02:41,028 So in order for the cloud\h to actually be formed for water to be able to\h\h 29 00:02:41,230 --> 00:02:47,440 condense it needs something to condense onto. So\h we call those cloud nuclei and those cloud nuclei\h\h 30 00:02:47,440 --> 00:02:55,039 basically can be sea salt. It can be particles\hfrom trees or from dust. Or it can be particles coming\hfrom human pollution. 31 00:02:55,239 --> 00:02:59,950 [Female speaker] So the other particles\h that water can condense around are aerosols and\h\h 32 00:02:59,950 --> 00:03:04,840 these can be in the form of anthropogenic, human-made aerosols, or biomass burning,\h\h 33 00:03:04,840 --> 00:03:13,621 which can also be induced by human activity, from farmers burning their fields, but also\hnatural sources such as fires. 34 00:03:13,687 --> 00:03:17,470 If you bring more\h particles to the environment you get more cloud\hdroplets. 35 00:03:17,470 --> 00:03:23,620 That changes the distribution of cloud\h droplets, that changes precipitation processes. 36 00:03:23,620 --> 00:03:28,132 [instrumental music and wind sound] 37 00:03:28,420 --> 00:03:35,050 [Female speaker] So aerosol and cloud interactions have been\h studied for a decent amount of time now\h\h 38 00:03:35,050 --> 00:03:39,100 and what's really important with the aerosol\hand cloud interactions is that the more\h\h 39 00:03:39,100 --> 00:03:43,344 aerosols that you have interacting with clouds\h increases the number of cloud droplets. 40 00:03:44,011 --> 00:03:49,210 So if there's a lot of really small droplets compared\h to a few bigger droplets we think it's actually\h\h 41 00:03:49,210 --> 00:03:54,620 harder for the clouds to make rain. [Female speaker] But it can\h also change the reflectivity of the cloud\h\h 42 00:03:55,621 --> 00:04:00,640 or albedo, which then in turn looks at a bigger\h picture of changing the heat balance within\h\h 43 00:04:00,640 --> 00:04:06,963 the local area near the Philippines\h and the tropics, and then in the grand picture\hacross the globe. 44 00:04:07,030 --> 00:04:09,760 Yeah it's a really complicated balance when you add\h\h 45 00:04:09,760 --> 00:04:15,340 particles to a cloud to understand how that\h actually affects the climate system as a whole. 46 00:04:16,003 --> 00:04:23,509 [instrumental music and thunder] 47 00:04:24,010 --> 00:04:28,200 [Male speaker] There have been many studies in the region that\h have linked the presence of pollution and smoke\h\h 48 00:04:28,200 --> 00:04:33,017 particles to more severe weather. In particular\hlightning activity has been shown to 49 00:04:33,017 --> 00:04:36,486 increase in regions under the influence of pollutants.\h 50 00:04:36,520 --> 00:04:39,420 So understanding as we add more particles to\h\h 51 00:04:39,420 --> 00:04:43,740 the atmosphere how that changes the properties of\h the clouds, how that changes the properties of the\h\h 52 00:04:43,740 --> 00:04:48,420 storm systems and how that changes the extreme\h weather that results from those storm systems is\h\h 53 00:04:48,420 --> 00:04:52,050 really important as one of the things that we're\h really trying to get at with this field campaign. 54 00:04:52,050 --> 00:04:58,003 [instrumental music and wind] 55 00:05:02,980 --> 00:05:09,610 [Male speaker] The waters around Southeast Asia can at times\h exhibit some of the cleanest atmospheres on the\h\h 56 00:05:09,610 --> 00:05:16,300 planet. But at the same time, throughout Southeast\h Asia, you have mega cities such as Metro Manila,\h\h 57 00:05:16,300 --> 00:05:23,690 Kuala Lumpur, Jakarta, and Singapore that all emit\h aerosol particles into the region. 58 00:05:23,690 --> 00:05:29,795 [Female Speaker] Metro Manila is one of the biggest, largest, fastest-growing mega\hcity in the region. 59 00:05:29,795 --> 00:05:36,067 That means therefore that\hthere's a lot of development that emits pollution\h 60 00:05:36,067 --> 00:05:40,003 and one of those is transport. 61 00:05:40,170 --> 00:05:47,440 These aerosols are different from what we find naturally in\h pristine areas and this difference has important\h\h 62 00:05:47,440 --> 00:05:52,813 implications on clouds and precipitation formation\h in this area. 63 00:05:52,813 --> 00:05:57,817 [Second male speaker] The monsoonal flows of Southeast Asia bring all of these pollutants 64 00:05:57,817 --> 00:06:02,788 together\hup the South China Sea into the Philippines\hand to the Western Pacific. 65 00:06:02,821 --> 00:06:07,120 So therefore during this\h season there are a lot of interactions that can\h\h 66 00:06:07,120 --> 00:06:10,361 happen with the pollution and the meteorological logical\h conditions. 67 00:06:10,361 --> 00:06:12,362 And one of the primary reasons why the\h\h 68 00:06:12,370 --> 00:06:17,470 CAMP2Ex mission is centered here in the Philippines\h is that we can see this transition from very\h\h 69 00:06:17,470 --> 00:06:21,790 polluted environments to the south to the much\h cleaner environments of the western Pacific.\h\h 70 00:06:23,338 --> 00:06:27,174 [instrumental music] 71 00:06:30,610 --> 00:06:37,990 [Male speaker] So at least in the Philippines it is very important\h because we are often affected by a lot of extreme\h\h 72 00:06:37,990 --> 00:06:45,520 weather events and by extreme weather that can\h mean sometimes no rain or very intense rain and that\h\h 73 00:06:45,520 --> 00:06:51,040 affects our water resources for agriculture,\h for our daily living, for taking a bath. So all of these\h\h 74 00:06:51,040 --> 00:06:57,031 basic activities are very reliant on having these\h resources. 75 00:06:57,031 --> 00:07:00,010 One of the hypotheses that started the\h\h 76 00:07:00,010 --> 00:07:07,000 whole CAMP2Ex mission was that farmers in Mindanao\h had noticed that the droughts have been longer\h\h 77 00:07:07,000 --> 00:07:12,190 but when rain does come it becomes more severe.\h One of the science objectives of this mission\h\h 78 00:07:12,190 --> 00:07:16,680 is to investigate, are aerosol particles a part\h of the cause of that? 79 00:07:16,680 --> 00:07:18,181 So the measurements therefore\h\h 80 00:07:18,190 --> 00:07:26,380 from this field campaign will input into how we\h are running our models. For now models that are\h\h 81 00:07:26,380 --> 00:07:31,450 run for weather forecasting over Metro Manila\h or for other places in the Philippines for that\h\h 82 00:07:31,450 --> 00:07:35,028 matter, do not take into account pollution. 83 00:07:35,028 --> 00:07:43,668 It's\hvery important to study the interactions between\hmeteorology and pollution because we rely\hon it so much. 84 00:07:43,668 --> 00:07:55,120 This campaign is the first step towards incorporating measurements and\hobservations into our model and try to see whether\h\h 85 00:07:55,120 --> 00:08:02,800 these aerosol particles are significantly, or are\h going to significantly, impact rainfall formation. 86 00:08:02,800 --> 00:08:17,228 [undeciphered talking with music] 87 00:08:19,029 --> 00:08:23,870 [Female speaker\} So what's really interesting about CAMP2Ex is\hthis region of the world is really hard to\h\h 88 00:08:23,870 --> 00:08:26,669 study just using remote sensing or satellites. \h 89 00:08:26,669 --> 00:08:29,671 [Male speaker] You\hhave thunderstorms forming over the mountains. 90 00:08:29,690 --> 00:08:34,850 You have tropical cyclones or other tropical\h activity forming over the western Pacific.\h\h 91 00:08:34,850 --> 00:08:39,560 You have monsoonal flows and thunderstorms\h over the South China Sea. All of that clouds\h\h 92 00:08:39,560 --> 00:08:44,016 our ability to see what's actually going on in\h the lower to middle atmosphere. 93 00:08:44,016 --> 00:08:51,050 So in order to\hunderstand how these pollution changes are\h changing the clouds we have to actually fly\h\h 94 00:08:51,050 --> 00:08:56,540 below the satellites and below the high cirrus\h clouds and look down from the plane and take the\h\h 95 00:08:56,540 --> 00:09:00,028 plane into various clouds to understand how these\h processes are changing. 96 00:09:00,028 --> 00:09:05,032 [Second male speaker] So we can have both points\hof view. We can actually see what the satellite\his seeing 97 00:09:05,032 --> 00:09:11,004 and then we can combine that with\hwhat the aircraft is seeing directly underneath\hthe satellite track. 98 00:09:11,004 --> 00:09:17,009 [Female Speaker] The importance of CAMP2Ex is for us to study those aerosols and clouds that\hthe satellites can't see and from 99 00:09:17,009 --> 00:09:23,270 what we find here we're going to be able to validate against\h the satellite retrievals that we are capturing. 100 00:09:23,270 --> 00:09:33,021 [music and low talking] 101 00:09:33,021 --> 00:09:38,025 [music] 102 00:09:38,025 --> 00:09:46,400 [Male speaker] Weather forecasting provided is conducted in\h different time periods. So we have long-range\h\h 103 00:09:46,400 --> 00:09:52,070 forecasts that we provide for three days,\h approximately three days out, or 72 hours.\h\h 104 00:09:52,070 --> 00:10:00,380 Then we try to provide what we consider a short-term\h forecast out to about 24 hours. And at the day\hof the flight 105 00:10:00,380 --> 00:10:11,018 we do an update, and the reason for\hall this is that the weather in and around the\hPhilippines is very, very difficult to forecast. 106 00:10:11,018 --> 00:10:16,022 [music] 107 00:10:16,022 --> 00:10:18,630 \h [Female speaker] When we have a flight day typically we wake up\h\h 108 00:10:18,630 --> 00:10:24,300 around 1 a.m. and we make sure that the conditions\h are looking good for us to complete our mission.\h\h 109 00:10:24,300 --> 00:10:30,033 If there's bad weather in the region we\h might consider delaying takeoff or not flying at\hall. 110 00:10:30,033 --> 00:10:34,620 [Male speaker] If the weather is not appropriate for us to\h take off in, if the weather it's not going to be\h\h 111 00:10:34,620 --> 00:10:38,550 appropriate for us to land in, or if the weather\h where we want a sample isn't what we're looking\h\h 112 00:10:38,550 --> 00:10:43,010 for that day, we can choose to cancel the flight\hthat morning. 113 00:10:43,010 --> 00:10:53,460 It's important to get the right\hconditions for the aircraft to fly in so they\hcan optimize their sampling strategies.\h\h 114 00:10:53,460 --> 00:10:57,690 Generally we've been giving the go-ahead. But\hoccasionally we have had circumstances where\h\h 115 00:10:57,690 --> 00:11:01,020 it just was obvious that we weren't going to be\h able to meet our flight objectives and we could\h\h 116 00:11:01,020 --> 00:11:06,390 send everybody back to bed. But by 2:30 in the\h morning we have to give a go/no-go decision to\h\h 117 00:11:06,390 --> 00:11:11,100 the entire science team to hop into the bus and come to the airfield and get the airplane going. 118 00:11:11,100 --> 00:11:18,839 [music and aircraft engine sounds] 119 00:11:18,850 --> 00:11:23,200 [Male speaker] The power comes on in the plane three hours\h before we take off and certain instruments\h\h 120 00:11:23,200 --> 00:11:27,700 have to be in there three hours before\h takeoff to get their instruments calibrated,\h\h 121 00:11:27,700 --> 00:11:31,960 get their instruments set up ready to\h go. You know it takes them three\h\h 122 00:11:31,960 --> 00:11:36,940 whole hours just to make sure that the flying\h laboratory has all of its instruments working. 123 00:11:36,940 --> 00:11:46,027 [music, low talking, and aircraft engine sounds] 124 00:11:46,027 --> 00:11:50,240 [Male speaker] So to pre-flight the aircraft we want to\h get a good look at the entire aircraft from\h\h 125 00:11:50,240 --> 00:11:53,240 top to bottom to make sure it's ready to\h go and ready to fly safely for everybody\h\h 126 00:11:53,240 --> 00:11:58,100 that's gonna be on board. So we'll look up in\h all the flap wells, we'll look at the landing\h\h 127 00:11:58,100 --> 00:12:02,930 gear we'll check the brakes, we'll check the\h lights, we check the props for any leakage or\h\h 128 00:12:02,930 --> 00:12:08,660 for any for chips, or any damage of any kind. We\h look over the fuselage as a whole. We look for\h\h 129 00:12:08,660 --> 00:12:13,190 missing pieces, we look for anything cracked, or\h anything that's going to be unsafe in general.\h\h 130 00:12:13,190 --> 00:12:19,910 At that time I'm in the operations room talking\h with the pilots and the flight scientist going\h\h 131 00:12:19,910 --> 00:12:22,356 over what our mission is today what we're gonna\hsample. 132 00:12:22,356 --> 00:12:26,025 [Male speaker] And we have to tell the pilots this is\hthe weather you want to be flying into today.\h\h 133 00:12:26,025 --> 00:12:30,028 And this is what you need to be aware of when\hthey're actually flying the plane today. \h 134 00:12:30,028 --> 00:12:37,034 [Second male speaker] Doors close\hat about 5:15 in the morning and the plane is in\hthe air by 6:00 a.m. 135 00:12:37,768 --> 00:12:41,004 [Air Traffic Control] Your takeoff checklist\h is complete. You're cleared to line up\hand wait. Runway 2. 136 00:12:42,004 --> 00:12:45,207 [P-3 Air Crew] Up and wait. Copy. 10-77. Brakes coming off. 137 00:12:45,207 --> 00:12:51,178 [music and aircraft engine sounds] 138 00:12:55,015 --> 00:13:01,140 [Female speaker] So after the plane takes off I monitor\h the status of the aircraft, the location, making\h\h 139 00:13:01,140 --> 00:13:07,590 sure everything is working between ground\h control and operations on the flight.\h\h 140 00:13:07,590 --> 00:13:13,029 The plane stays in the air anywhere from eight to\h nine hours returning at about three o'clock in\hthe afternoon. 141 00:13:13,029 --> 00:13:17,670 And nine hour flights are quite\h long but because we're out there for so long we\h\h 142 00:13:17,670 --> 00:13:23,760 can get so many good samples on different clouds\h and it allows us to really examine the evolution of\h\h 143 00:13:23,760 --> 00:13:27,007 clouds throughout a day even with nine hour\hflights. 144 00:13:27,007 --> 00:13:33,078 [Female speaker] We'll also send up satellite imagery to the flight scientists so they can know where\hthey want to study.\h 145 00:13:33,078 --> 00:13:39,060 They might want to deviate off the course that we planned for them\hto sample different types of clouds or aerosols. 146 00:13:39,060 --> 00:13:46,055 [music] 147 00:13:46,180 --> 00:13:54,028 [Male speaker] So we have two aircraft in the region. We have the\hP-3 and then we also have the SPEC incorporated\hLear 35. 148 00:13:54,028 --> 00:13:59,860 [Second male speaker] So the Learjet is basically here to\h support the NASA P-3 aircraft, while the NASA\h\h 149 00:13:59,860 --> 00:14:06,130 P-3 aircraft has a unique set of remote sensors\h onboard. They fly above the clouds or below the\h\h 150 00:14:06,130 --> 00:14:10,930 clouds, while we fly in the clouds and get\h the measurements in the clouds knowing how\h\h 151 00:14:10,930 --> 00:14:14,860 many droplets there are, how many ice crystals there are,\hhow much water is in\h\h 152 00:14:14,860 --> 00:14:20,740 the clouds. And this is then compared to the\h remote sensors -- the radars, the lidars, microwave\h\h 153 00:14:20,740 --> 00:14:25,690 radiometers -- so that we can interpret the\h data from in the cloud where we get the\h\h 154 00:14:25,690 --> 00:14:30,880 real data with the remote sensor data and\h then understand really what is happening\h\h 155 00:14:30,880 --> 00:14:35,740 in the cloud and also being able to then\h understand what the satellites are measuring. 156 00:14:35,740 --> 00:14:52,007 [music and aircraft engine sounds] 157 00:14:52,340 --> 00:14:57,350 [Female speaker] So after the plane lands our work isn't over. We\hhave a meeting with the pilots and the flight\h\h 158 00:14:57,350 --> 00:15:03,016 scientists to see how our mission went and how\h we need to adapt or change what we did for the\hfuture flights. 159 00:15:03,016 --> 00:15:07,640 [Male speaker] For the instrument teams there\h after a flight, they work on shutting down their\h\h 160 00:15:07,640 --> 00:15:12,230 instruments properly, making sure it's ready for\h the next flight, and downloading their data.\h\h 161 00:15:12,230 --> 00:15:16,190 For some of these instruments it's quite a lot of\h data that's produced on a single flight, it's hard\hdrives\h 162 00:15:16,190 --> 00:15:21,030 worth of data produced on a single flight,\h and downloading that data can take quite a long\htime. 163 00:15:21,030 --> 00:15:26,600 [Second male speaker] While the plane is in the air we're already\h planning the next flight the following day or the\h\h 164 00:15:26,600 --> 00:15:31,970 subsequent days. So when the\h plane is in the air at 9:30 in the morning we\h\h 165 00:15:31,970 --> 00:15:36,830 have another weather brief and we start the\h flight planning process for the next day.\h\h 166 00:15:36,830 --> 00:15:42,170 As soon as the pilots land we give them the plan for\h the very next flight, and they file that and the\h\h 167 00:15:42,170 --> 00:15:45,917 whole process starts all over again at about 1:00\hin the morning. 168 00:15:45,917 --> 00:15:55,024 Oh man, in total we're at\hthe airport for about 14 hours every single\hday, and awake for 16, it's a long\hday. 169 00:15:55,691 --> 00:15:58,026 Everyone is holding it together amazingly\hwell. 170 00:15:58,694 --> 00:16:02,163 [Female speaker] It gets exhausting fast but it's rewarding. 171 00:16:02,163 --> 00:16:19,010 [music] 172 00:16:19,010 --> 00:16:24,190 [Male speaker] I work for the ESPO office which is\h the Earth Science Project Office (ESPO) and we\h\h 173 00:16:24,190 --> 00:16:29,440 focus on managing and organizing\h field campaigns around the world. 174 00:16:29,440 --> 00:16:36,100 Because we start from the\h ground up with all these projects, all these\h\h 175 00:16:36,100 --> 00:16:41,050 campaigns, we make connections with the\h local authorities to provide the services\h\h 176 00:16:41,050 --> 00:16:46,960 for the campaign. So ESPO tends to be the\h center of the organization of the campaign. 177 00:16:46,960 --> 00:16:56,950 So our job during the field campaign is to make\hsure that the infrastructure is there and then\h\h 178 00:16:56,950 --> 00:17:02,290 it's continually providing the support\h for the field campaign for the scientists doing\h\h 179 00:17:02,290 --> 00:17:05,320 the observations. That means that we have to make sure that there's\h\h 180 00:17:05,320 --> 00:17:09,940 enough infrastructure to support deploying\h an aircraft in this far away place. 181 00:17:09,940 --> 00:17:20,025 [music] 182 00:17:20,025 --> 00:17:25,550 [Male speaker] Campaigns like this are very difficult because\hthey involve different cultures, different time\h\h 183 00:17:25,550 --> 00:17:30,740 zones. Day time here is night time back\h home, so people are away from their families. It's\h\h 184 00:17:30,740 --> 00:17:37,940 stressful but everybody is handling it really, really\h well and it's been a great, successful campaigns\hso far. 185 00:17:37,940 --> 00:17:50,015 [music] 186 00:17:51,016 --> 00:17:54,018 [Male speaker] Here no day has been the same. Every day has been\hdifferent. 187 00:17:54,018 --> 00:18:00,310 So the exciting aspect of fieldwork\his that you actually get to see how the data is\hcollected. You're not just sitting at a\h\h 188 00:18:00,310 --> 00:18:05,140 computer back, at least for me, in Illinois and you\h know...I don't know how this data was collected.\h 189 00:18:05,140 --> 00:18:10,690 Some days I'm sitting on a plane dropping dropsondes out of the back of the plane. Some days\h\h 190 00:18:10,690 --> 00:18:16,030 we're working on the dropsonde system. Every\h day is just so different here than what it is at home. 191 00:18:17,003 --> 00:18:25,010 [music] 192 00:18:25,010 --> 00:18:30,320 [Male speaker] Field campaigns are important for students, not\h just because they can see where data comes from\h\h 193 00:18:30,320 --> 00:18:34,017 but they're gonna create friendships that will\h last them the rest of their lives. 194 00:18:34,017 --> 00:18:40,022 If any graduate student or scientist has the opportunity to\hdo fieldwork, I highly recommend it.\h 195 00:18:40,022 --> 00:18:45,140 Being in the field has been an incredible experience. As\h a graduate student I have learned so much from\h\h 196 00:18:45,140 --> 00:18:49,029 so many different people it's been an incredible\hexperience. 197 00:18:49,029 --> 00:18:54,366 [Male speaker] We were actually very surprised because\ha lot of the scientists were giving us praise and\hwere admiring us, 198 00:18:54,366 --> 00:19:01,250 telling us that we're doing\hgood work and hearing this from the people\hthat you admire, the people you read on papers\h\h 199 00:19:01,250 --> 00:19:06,140 the "greats", so to speak, in this field and\h then just to hear that from them it's really\h\h