1 00:00:00,266 --> 00:00:02,168 Hello Girl Scouts and troop leaders! 2 00:00:02,235 --> 00:00:09,275 We at GLOBE are very excited that you have chosen to use the GLOBE Observer app to work on your Think Like a Citizen Scientist Journey. 3 00:00:09,275 --> 00:00:15,715 This video can be used as a plug and play (with pauses for activities, so pay attention and pause the video while you work). 4 00:00:16,216 --> 00:00:23,957 Alternatively, troop leaders, service unit or council volunteers, can use this video as an example of how you might run your own program. 5 00:00:24,457 --> 00:00:30,663 However you choose to use this video, enjoy your Journey as you learn to Think Like a Citizen Scientist. 6 00:00:31,598 --> 00:00:36,870 Welcome to the first step in being a critical part of a growing citizen science project. 7 00:00:37,237 --> 00:00:40,373 Today you will learn about what it means to Think Like a Citizen Scientist, 8 00:00:40,974 --> 00:00:43,943 learn about the Clouds Tool on the GLOBE Observer app 9 00:00:44,044 --> 00:00:47,013 and practice identifying different types of clouds. 10 00:00:48,181 --> 00:00:51,151 But first let me tell you about GLOBE and GLOBE Observer. 11 00:00:51,718 --> 00:00:54,687 GLOBE is an international science and education program 12 00:00:55,055 --> 00:01:01,861 that provides students and the public worldwide with the opportunity to participate in data collection and the scientific process 13 00:01:01,861 --> 00:01:06,266 and contribute meaningfully to our understanding of the Earth system and global environment. 14 00:01:06,733 --> 00:01:09,702 GLOBE Observer app is the data entry tool that allows citizen scientists 15 00:01:11,337 --> 00:01:14,307 to enter their data and share observations. 16 00:01:14,374 --> 00:01:16,910 GLOBE Observer is part of GLOBE. 17 00:01:16,910 --> 00:01:21,314 Okay, speaking of the Think Like a Citizen Scientist Journey, 18 00:01:21,314 --> 00:01:27,087 learning about what it means to observe is the first step in thinking like a citizen scientist. 19 00:01:27,087 --> 00:01:30,757 Let’s get started by practicing our observation skills. 20 00:01:30,757 --> 00:01:36,296 When we observe, we use our senses (taste, smell, touch, hearing, and sight). 21 00:01:36,296 --> 00:01:40,433 Since we can’t really taste, smell, hear, or touch these pictures, 22 00:01:40,433 --> 00:01:42,602 we are going to use our sense of sight. 23 00:01:42,602 --> 00:01:47,140 If you decide to do this experiment on your own, you can use some of your other senses. 24 00:01:48,141 --> 00:01:51,111 Today we are going to practice your observation skills. 25 00:01:51,411 --> 00:01:54,914 I'm going to show you a science demo (Cloud in a Bottle) 26 00:01:54,914 --> 00:01:57,884 and I’m going to ask you to observe what happens. 27 00:01:58,017 --> 00:02:03,323 You can write down any observations you made in your science journal or on a piece of scratch paper. 28 00:02:03,323 --> 00:02:06,559 Observations are anything that you notice with your senses, 29 00:02:06,559 --> 00:02:11,698 so today, you probably won’t notice any tastes, touches, or smells, 30 00:02:11,698 --> 00:02:14,367 but I bet you will see something change. 31 00:02:14,434 --> 00:02:17,770 Leaders, once your Girl Scouts have finished watching the demonstration 32 00:02:17,770 --> 00:02:19,639 and noting their observations, 33 00:02:19,639 --> 00:02:22,308 ask them to share their observations and discuss. 34 00:02:22,475 --> 00:02:27,013 Hi! And so now we are going to do Cloud in a Bottle! 35 00:02:27,013 --> 00:02:32,585 A science demonstration. And we are going to make a cloud form inside a bottle. 36 00:02:32,785 --> 00:02:35,755 To do this experiment you are going to need a few things. 37 00:02:35,955 --> 00:02:40,093 First you need a two-liter bottle (just an empty one). 38 00:02:40,627 --> 00:02:47,934 And I used a little thermometer that I attached to it, that would be like a fishtank thermometer, as you can see here. 39 00:02:48,268 --> 00:02:50,370 And so right now, we can see 40 00:02:50,403 --> 00:02:52,172 that the temperature inside this bottle 41 00:02:52,172 --> 00:03:01,014 looks like its about, or between 64 and 68 degrees Fahrenheit or between 18 and 20 degrees Celcius. 42 00:03:02,849 --> 00:03:04,884 The next thing I need is a pump. 43 00:03:04,884 --> 00:03:10,723 So this is a special kind of pump ah... that you can ah, buy online. 44 00:03:11,157 --> 00:03:14,527 Othwerwise, if you just have like a bicycle pump with a cork 45 00:03:15,061 --> 00:03:18,031 That you put in the microwave for about 10 to 15 seconds 46 00:03:18,298 --> 00:03:21,568 until is gets a little bigger, so that it actually fills 47 00:03:21,935 --> 00:03:24,904 the inside of your bottle 48 00:03:25,071 --> 00:03:28,875 and then take like a pin that you would use to fill up a basketball 49 00:03:28,942 --> 00:03:31,911 and then use that to poke through the cork 50 00:03:31,945 --> 00:03:36,482 and then put the cork inside the bottle so you have a nice seal 51 00:03:36,516 --> 00:03:39,085 and you still have a way for the air to get in. 52 00:03:39,085 --> 00:03:42,789 And so what we're going to do is pump air in side my bottle 53 00:03:43,523 --> 00:03:47,126 The last ingredient you need for this is some rubbing alcohol. 54 00:03:47,160 --> 00:03:50,129 And so, I have a little rubbing alcohol here. 55 00:03:50,129 --> 00:03:53,099 And what I'm going to do is, I'm going to add a little bit inside the bottle 56 00:03:54,567 --> 00:03:57,537 and then I just swish it around a little bit. 57 00:03:57,570 --> 00:04:00,540 so that it coats the inside of my bottle. 58 00:04:01,207 --> 00:04:10,783 And as you can see, we're still measuring somewhere between 64 and 68 degrees Fahrenheith, or 18 and 20 degrees Celcius. 59 00:04:11,050 --> 00:04:17,523 and then I'm going to put my cap back on with my pump, my little hand-held pump here. 60 00:04:17,991 --> 00:04:21,728 And I am going to start adding air 61 00:04:21,928 --> 00:04:25,665 into my bottle and we are going to observe 62 00:04:26,399 --> 00:04:29,369 You can see that I can really squish it right now. 63 00:04:29,736 --> 00:04:32,705 Let's see what happens when I add some more air. 64 00:04:33,006 --> 00:04:35,975 Okay, here we go. I'm going to add more and more air. 65 00:04:36,376 --> 00:04:39,212 ( pumping noises) 66 00:04:39,212 --> 00:04:42,181 I feel like I should be counting. 67 00:04:42,181 --> 00:04:44,384 Maybe you can count with me. 68 00:04:44,417 --> 00:04:45,051 1 69 00:04:45,251 --> 00:04:45,952 2 70 00:04:46,152 --> 00:04:46,753 3 71 00:04:47,086 --> 00:04:47,587 4 72 00:04:48,054 --> 00:04:48,554 5 73 00:04:48,788 --> 00:04:49,255 6 74 00:04:49,455 --> 00:04:50,023 7 75 00:04:50,123 --> 00:04:51,858 Skip a few... 76 00:04:55,795 --> 00:04:57,163 50 77 00:04:57,497 --> 00:05:01,100 and now look at how much I can squish it. It's not very much at all. 78 00:05:01,234 --> 00:05:04,203 I might actually give it just a few more pumps. 79 00:05:04,604 --> 00:05:07,073 And I want to show you 80 00:05:07,273 --> 00:05:10,243 what the thermometer is now reading. 81 00:05:13,913 --> 00:05:15,281 Well let's see. 82 00:05:15,515 --> 00:05:19,485 It looks like we are getting almost closer to the 71 mark. 83 00:05:19,686 --> 00:05:24,190 So it's really bright on the 68. So it looks like the temperature has 84 00:05:25,391 --> 00:05:26,826 gone up. 85 00:05:26,959 --> 00:05:29,595 Hmm... interesting. 86 00:05:29,796 --> 00:05:32,765 Okay 87 00:05:33,933 --> 00:05:38,638 I'm just going to, for fun, shine a light through my bottle. 88 00:05:38,938 --> 00:05:41,541 Do you see anything through there? 89 00:05:41,874 --> 00:05:43,810 Ah, probably see a little reflection. 90 00:05:44,177 --> 00:05:47,146 Be careful not to get a laser in your eye. 91 00:05:47,213 --> 00:05:49,716 They are very dangerous, if that happens. 92 00:05:49,849 --> 00:05:51,451 So an adult can do this. 93 00:05:51,451 --> 00:05:53,152 But as you can see, 94 00:05:54,187 --> 00:05:55,788 it doesn't look like 95 00:05:56,856 --> 00:05:58,791 We can see the light as it goes through. 96 00:06:01,194 --> 00:06:05,798 And it's definitely registering warmer now. Now that I've pumped 97 00:06:05,832 --> 00:06:06,999 all that air into it. 98 00:06:07,100 --> 00:06:10,436 Okay, now we are going to release all of that air. 99 00:06:10,503 --> 00:06:13,473 We are going to decrease the pressure inside this bottle really quickly, 100 00:06:13,873 --> 00:06:15,908 and we're going to see what happens.You ready? 101 00:06:16,142 --> 00:06:17,810 Since we're NASA, we're going to count down. 102 00:06:17,844 --> 00:06:20,813 So 3, 2, 1 103 00:06:22,749 --> 00:06:23,383 (sound of air escaping) 104 00:06:23,716 --> 00:06:26,419 And there you have it. That's a cloud in a bottle! 105 00:06:27,787 --> 00:06:29,789 Look at the temperature. 106 00:06:31,324 --> 00:06:35,728 Has it gotten...colder again? 107 00:06:35,962 --> 00:06:38,931 Hmm...interesting. 108 00:06:39,899 --> 00:06:43,503 So, I hope you made some great observations. 109 00:06:43,703 --> 00:06:46,105 I'm going to shine the light through. 110 00:06:46,372 --> 00:06:49,342 I'm not sure you can see that. Oh! There you go. 111 00:06:49,442 --> 00:06:53,913 If you look at the top there is no clouds, but down here, there is cloud. 112 00:06:54,981 --> 00:06:56,582 Interesting. 113 00:06:56,582 --> 00:07:00,052 And I hope you marked down a lot of your observations in your journal or in your notebook. 114 00:07:00,119 --> 00:07:01,187 And then, 115 00:07:01,387 --> 00:07:03,823 discuss those with your troop. 116 00:07:04,524 --> 00:07:07,493 And when you're done, resume the video. 117 00:07:08,828 --> 00:07:11,798 Welcome back! I bet you made some really great observations. 118 00:07:11,998 --> 00:07:14,967 But what does this have to do with Thinking Like a Citizen Scientist? 119 00:07:15,568 --> 00:07:19,172 Let me ask you, what do scientists do? 120 00:07:20,706 --> 00:07:23,676 Pause the video and discuss what a scientist does. 121 00:07:26,345 --> 00:07:29,982 I bet you had a great discussion on what it means to be a scientist. 122 00:07:30,082 --> 00:07:33,052 There are lots of different types of scientists out there, 123 00:07:33,119 --> 00:07:37,089 but one thing they all have in common in their research is that scientists 124 00:07:37,223 --> 00:07:40,126 rely on the scientific method to learn new things. 125 00:07:41,327 --> 00:07:43,863 You are going to be citizen scientists, 126 00:07:44,030 --> 00:07:48,000 where you use the scientific method to help gather data for NASA scientists 127 00:07:48,067 --> 00:07:52,038 and other researchers including students or scouts like you. 128 00:07:52,839 --> 00:07:55,808 The first part of the scientific method is to observe. 129 00:07:56,676 --> 00:08:00,847 You all did a great job of observing the cloud appear in a bottle. 130 00:08:01,180 --> 00:08:07,320 The next part of the scientific method is to create a question and make a hypothesis. 131 00:08:07,720 --> 00:08:12,825 That's your best guess at the answer to your question based on your observations 132 00:08:13,759 --> 00:08:15,361 Pause the video and discuss. 133 00:08:15,761 --> 00:08:17,730 You can come up with your own question 134 00:08:17,763 --> 00:08:20,733 or you can use the one that I’ll provide on the next slide. 135 00:08:22,401 --> 00:08:25,972 The question for the cloud in a bottle could have been: 136 00:08:26,572 --> 00:08:33,145 What happens when pressure decreases abruptly inside a closed container with water vapor? 137 00:08:34,080 --> 00:08:37,049 The hypothesis is your answer to that question. 138 00:08:37,650 --> 00:08:44,657 My hypothesis was that when pressure decreases, the temperature decreases, and a cloud will form. 139 00:08:45,291 --> 00:08:46,959 And I was right. 140 00:08:47,660 --> 00:08:51,397 We could see from the thermometer that the temperature actually went down. 141 00:08:52,265 --> 00:08:56,969 While the pressure inside the bottle went down as well. 142 00:08:57,136 --> 00:09:00,106 And when that happened the cloud formed. 143 00:09:01,007 --> 00:09:05,378 But, how do scientists know if their hypothesis is correct? 144 00:09:05,912 --> 00:09:08,681 They have to collect and analyze data. 145 00:09:08,748 --> 00:09:11,717 The more data they have the better their results will be 146 00:09:11,717 --> 00:09:14,587 because it helps filter out some of the outliers 147 00:09:14,654 --> 00:09:17,456 (the mistakes, errors, or just oddball data). 148 00:09:18,257 --> 00:09:21,727 Kind of like if I was measuring Favorite girl scout cookies. 149 00:09:22,061 --> 00:09:26,866 The more people I sell cookies to, the better my data. 150 00:09:28,234 --> 00:09:33,472 For example, here is a pie chart showing real data from my troop sales. 151 00:09:34,006 --> 00:09:36,776 This Girl Scout made a single sale to one family 152 00:09:37,076 --> 00:09:39,745 (who love Samoas and don't like Thin Mints). 153 00:09:40,012 --> 00:09:43,883 But are Samoas the most popular cookie sold by Girl Scouts nationwide? 154 00:09:44,317 --> 00:09:47,820 With this data my hypothesis should be yes! 155 00:09:48,721 --> 00:09:49,655 But is it? 156 00:09:50,289 --> 00:09:52,058 How could I get a better data set? 157 00:09:52,959 --> 00:09:54,660 I could collect more data. 158 00:09:55,027 --> 00:09:58,998 The pie chart on the right is the data for my entire troop’s sales. 159 00:09:59,765 --> 00:10:06,706 This is a much better data set because it has 1,559 packages of cookies sold 160 00:10:07,340 --> 00:10:11,744 1,554 more boxes than my single sale. 161 00:10:12,345 --> 00:10:13,779 With this much data, 162 00:10:13,846 --> 00:10:16,382 I could look at which ones I sold the most of 163 00:10:16,382 --> 00:10:19,352 and be able to make a better conclusion to my hypothesis 164 00:10:19,719 --> 00:10:24,290 than if I’d only sold 1 or 2 boxes or to only one family. 165 00:10:24,991 --> 00:10:27,326 The more data that is collected, the better. 166 00:10:27,560 --> 00:10:31,130 So are Samoas the most popular according to this data? 167 00:10:31,530 --> 00:10:32,431 No! 168 00:10:32,999 --> 00:10:34,166 Thin Mints are. 169 00:10:34,533 --> 00:10:38,537 Your troop can do this same exercise with your troop sales! 170 00:10:39,171 --> 00:10:44,477 If you added your data to this data, we’d have an even better data set! 171 00:10:46,045 --> 00:10:50,016 NASA scientists rely on a lot of data. 172 00:10:50,316 --> 00:10:51,951 And this is where you can come in. 173 00:10:52,318 --> 00:10:54,387 You can be Citizen Scientists. 174 00:10:54,954 --> 00:10:57,857 All these pictures and circles on this map are data points 175 00:10:57,890 --> 00:11:02,094 where citizen scientists have taken observations of clouds around the world. 176 00:11:02,595 --> 00:11:06,799 You can also take these observations and add to this robust data set. 177 00:11:07,933 --> 00:11:12,104 Let's watch this video and learn about how GLOBE Observer contributes. 178 00:11:12,872 --> 00:11:52,878 (background music) 179 00:11:53,879 --> 00:11:58,417 Before we dive into collecting observations as citizen scientists, 180 00:11:58,851 --> 00:12:03,823 let’s watch this video where Jessica Taylor, cloud scientist and education specialist at NASA, 181 00:12:04,056 --> 00:12:09,128 explains a little more about the science behind and the different types of clouds that are in our sky. 182 00:12:09,595 --> 00:12:15,067 You’ll be using this information to classify clouds in the next activity, so pay close attention. 183 00:12:15,067 --> 00:12:29,081 (background music) 184 00:12:29,081 --> 00:12:32,351 GLOBE is a community of scientists, teachers, students, 185 00:12:32,351 --> 00:12:36,756 and citizens from more than 100 countries around the world. 186 00:12:36,756 --> 00:12:40,126 Their efforts in collecting information or data are helping 187 00:12:40,126 --> 00:12:42,995 us to better understand our environment. 188 00:12:42,995 --> 00:12:45,998 And now we need your help in collecting data so we can better 189 00:12:45,998 --> 00:12:49,034 understand the different types of clouds and the effects they 190 00:12:49,034 --> 00:12:52,805 have on our Earth's climate. 191 00:12:52,805 --> 00:12:57,877 At any time, over 70% of the Earth is covered by clouds. 192 00:12:57,877 --> 00:13:00,913 And these clouds play a really important role in helping to 193 00:13:00,913 --> 00:13:02,348 control the Earth's temperature. 194 00:13:02,348 --> 00:13:06,552 For example, have you ever been outside on a hot and sunny day 195 00:13:06,552 --> 00:13:09,989 when a cloud rolls overhead and provides you with some 196 00:13:09,989 --> 00:13:11,590 much-needed shade? 197 00:13:11,590 --> 00:13:13,559 Did you notice that the temperature suddenly 198 00:13:13,559 --> 00:13:14,527 felt cooler? 199 00:13:14,527 --> 00:13:17,630 That's because these clouds are blocking some of the Sun's heat 200 00:13:17,630 --> 00:13:20,366 from reaching the Earth's surface by reflecting that 201 00:13:20,366 --> 00:13:21,901 energy back into space. 202 00:13:21,901 --> 00:13:25,571 Clouds like these, that help cool the Earth's temperature, 203 00:13:25,571 --> 00:13:29,275 are lower to the ground and thicker like a big puffy cumulus 204 00:13:29,275 --> 00:13:32,211 cloud or thick flat stratus clouds. 205 00:13:32,211 --> 00:13:34,580 On the other hand, there are clouds that actually help warm 206 00:13:34,580 --> 00:13:35,481 the Earth. 207 00:13:35,481 --> 00:13:38,984 These clouds are high in the atmosphere, made up of ice 208 00:13:38,984 --> 00:13:41,520 crystals, and are usually very thin. 209 00:13:41,520 --> 00:13:45,024 Cirrus clouds are a type of high cloud and they let most of the 210 00:13:45,024 --> 00:13:47,693 Sun's energy pass right through them reaching the Earth's 211 00:13:47,693 --> 00:13:48,360 surface. 212 00:13:48,360 --> 00:13:51,397 These clouds also help to absorb some of the Earth's 213 00:13:51,397 --> 00:13:55,100 energy, preventing it from escaping into space, 214 00:13:55,100 --> 00:13:56,502 so they acting like insulation. 215 00:13:56,502 --> 00:14:00,606 Even small changes in clouds, such as overall cloud cover, 216 00:14:00,606 --> 00:14:04,743 cloud type or the location where clouds form can impact 217 00:14:04,743 --> 00:14:05,711 Earth's climate. 218 00:14:05,711 --> 00:14:08,848 For scientists to understand these effects, we need accurate 219 00:14:08,848 --> 00:14:10,249 data on clouds. 220 00:14:10,249 --> 00:14:13,352 NASA has a number of satellites orbiting the Earth and 221 00:14:13,352 --> 00:14:17,723 collecting data about clouds and the Earth's energy. 222 00:14:17,723 --> 00:14:20,292 While these satellites give us a big picture of what's going on, 223 00:14:20,292 --> 00:14:22,394 they sometimes have trouble with the details. 224 00:14:22,394 --> 00:14:26,332 Plus we need data from your vantage point- right here on 225 00:14:26,332 --> 00:14:27,299 Earth. 226 00:14:27,299 --> 00:14:29,935 Satellites only see the top of the clouds while you see the 227 00:14:29,935 --> 00:14:30,603 bottom. 228 00:14:30,603 --> 00:14:33,372 By putting these two vantage points together we get a much 229 00:14:33,372 --> 00:14:36,976 more complete picture of clouds in the atmosphere. 230 00:14:36,976 --> 00:14:39,111 I'm really excited for you to start collecting data through 231 00:14:39,111 --> 00:14:39,879 the GLOBE program. 232 00:14:39,879 --> 00:14:42,281 You know, before I started working for NASA, 233 00:14:42,281 --> 00:14:44,283 I was a GLOBE student. 234 00:15:01,867 --> 00:15:05,771 Okay, so now Girl Scouts and troop leaders, you have a choice to make. 235 00:15:05,871 --> 00:15:10,142 You can keep watching this video and try the cloud classification challenge 236 00:15:10,542 --> 00:15:17,182 or you can join Marilé Colón-Robles and her girls and do the cloud dance and a few other fun activities. 237 00:15:17,616 --> 00:15:23,555 Just watch the video and dance along or use the video to lead your own cloud dance and activities. 238 00:15:23,555 --> 00:15:30,996 Hello, my name is Marilé Colón Robles and I'm the project scientist for NASA GLOBE Clouds 239 00:15:31,130 --> 00:15:35,935 based at NASA Langley Research Center in Hampton, Virginia. 240 00:15:35,935 --> 00:15:43,676 It's a rainy day and I'm here with my girls and we thought why not share with you some of our favorite cloud activities 241 00:15:43,676 --> 00:15:46,345 to help you learn about cloud types. 242 00:15:46,345 --> 00:15:50,849 One of our favorite things is what we call the cloud dance. 243 00:15:50,849 --> 00:15:54,053 You girls ready to show the cloud dance? 244 00:15:54,053 --> 00:15:58,590 Before we begin, there's three main cloud types. 245 00:15:58,590 --> 00:16:03,562 There's many different types of clouds. But there's three main cloud types. 246 00:16:03,562 --> 00:16:12,571 Cumulus, stratus and cirrus. And we kind of drew a little bit of them. 247 00:16:12,571 --> 00:16:20,179 So cumulus are puffy. Kids sometimes say fluffy or cotton candy. 248 00:16:20,179 --> 00:16:25,184 Stratus are flat. Some kids say it looks like a mustache. 249 00:16:25,184 --> 00:16:33,859 And then cirrus - wavy, stretchy. We adults might say wispy, but kids don't really understand wispy. 250 00:16:33,859 --> 00:16:36,428 So they might say some words like that. 251 00:16:36,428 --> 00:16:39,932 Let's do the cloud dance. Are you guys ready, ladies ready? 252 00:16:39,932 --> 00:16:48,340 Okay, so let's see, cumulus. Now cumulus means pile, so let's pile, let's make a cumulus cloud. 253 00:16:48,340 --> 00:16:54,747 But the more we do it, the bigger it gets, the bigger it gets. STOP. 254 00:16:54,747 --> 00:17:01,687 Okay, good, because if you keep doing it, it'll be a thunderstorm, and you don't want it to rain inside right? 255 00:17:01,687 --> 00:17:09,061 Okay, now let's do stratus. Show me stratus. 256 00:17:09,061 --> 00:17:15,734 That's right, it's flat and it goes everywhere. So make sure to stretch in every direction. 257 00:17:15,734 --> 00:17:23,242 Now Madison, do you want to do your mustache. Like this. Oh, I like that. 258 00:17:23,242 --> 00:17:31,717 Okay, now let's do cirrus. Let's do wispy and nice and fluffy. 259 00:17:31,717 --> 00:17:33,252 And you can also do the dab. 260 00:17:33,252 --> 00:17:36,555 Let's do the dab because it kind of looks like the dab. Very good. 261 00:17:36,555 --> 00:17:41,226 Okay, now we're going to share with you some of the neat activities. 262 00:17:41,226 --> 00:17:44,329 Madison, can you sit down, Elizabeth can you come up. 263 00:17:44,329 --> 00:17:48,233 We looked, do you want to hold this up? 264 00:17:48,233 --> 00:17:53,338 We looked for some materials around the house, and we did this. 265 00:17:53,338 --> 00:18:03,048 So I wrote the words. Cirrus clouds again are high clouds, stratus and cumulus are low clouds. 266 00:18:03,048 --> 00:18:06,251 But if you notice they are flat and puffy. 267 00:18:06,251 --> 00:18:14,059 So Elizabeth, what material did you use for here, for the stratus cloud? 268 00:18:14,059 --> 00:18:22,367 I think this is tissue, right? Tissue paper. And what did we use for a cumulus? 269 00:18:22,367 --> 00:18:28,740 Yeah, cotton balls. And how about for cirrus? 270 00:18:28,740 --> 00:18:34,847 A string. Very good. And she wrote her name. Here you go, can you sit down. Thank you for sharing. 271 00:18:34,847 --> 00:18:40,285 Madison, do you want to come? 272 00:18:40,285 --> 00:18:45,257 Now Madison, come here next to momma. What grade are you in? 273 00:18:45,257 --> 00:18:46,558 Second grade. 274 00:18:46,558 --> 00:18:50,762 She's in second grade. So we did a journal, right? 275 00:18:50,762 --> 00:18:59,238 We found this strong material and made a hole and then we laced a rubber band. 276 00:18:59,238 --> 00:19:01,073 So what's in the front? 277 00:19:01,073 --> 00:19:11,250 On the cover, it says, "Cloud Notebook by Madison." 278 00:19:11,250 --> 00:19:17,055 We did this per day. And if you want to make this at home, it's quite simple. 279 00:19:17,055 --> 00:19:25,631 First you're going to write the date and then write the date of which the day is, down on the line. 280 00:19:25,631 --> 00:19:29,334 Then you're going to write the time now. 281 00:19:29,334 --> 00:19:40,045 Then you're going to write cloud types, a line, a line across that and the weather. 282 00:19:40,045 --> 00:19:49,655 An example for the weather. The weather is basically like, so, for us the weather was very rainy and cold. 283 00:19:49,655 --> 00:19:55,527 So for the weather we write rainy and cold, and usually during rainy and cold, 284 00:19:55,527 --> 00:20:02,534 it's usually nimbostratus, which is here on the board. 285 00:20:02,534 --> 00:20:04,970 50 00:04:41,433 --> 00:04:48,300 You write in the line, you write sentence and you write a sentence. 286 00:20:11,843 --> 00:20:22,654 For us, for me today, I wrote: "Today it is rainy and cold, and today it is raining." 287 00:20:22,654 --> 00:20:27,960 Very good. So let's look at it again. This is how we chose to do our journal. 288 00:20:27,960 --> 00:20:30,762 And you can do that per day. 289 00:20:30,762 --> 00:20:35,867 That's right. So we're going to write the date, the time, the cloud type, the weather, 290 00:20:35,867 --> 00:20:42,074 and then because Madison is practicing her sentences, we're going to write a sentence about what we observed. 291 00:20:42,074 --> 00:20:45,244 Very good. Thank you. Can you sit down? 292 00:20:45,244 --> 00:20:53,252 Awesome. So this week, the Clouds team just put out a family guide, which will help you 293 00:20:53,252 --> 00:20:59,391 do some activities with your kiddos or with the rest of the family, no matter the age. 294 00:20:59,391 --> 00:21:02,728 Now there's other things that you can do. 295 00:21:02,728 --> 00:21:10,135 There is a book about clouds through the GLOBE Program called, "Do You Know That Clouds Have Names?" 296 00:21:10,135 --> 00:21:11,637 It's one of our favorite books. 297 00:21:11,637 --> 00:21:17,576 You can download it in different languages. So if you speak different languages like me, 298 00:21:17,576 --> 00:21:21,246 yo hablo español y también hablo inglés, 299 00:21:21,246 --> 00:21:24,149 you can read it in different languages. 300 00:21:24,149 --> 00:21:33,458 Of course, you can use the GLOBE Observer app if you feel so inclined to make observations. 301 00:21:33,458 --> 00:21:41,933 Within the app, within the GLOBE Observer app, you can find some cloud charts that can help you along, 302 00:21:41,933 --> 00:21:45,537 And figure out what cloud type are you looking at. 303 00:21:45,537 --> 00:21:54,346 So we're hoping that this will help you out, do some fun activities at home, especially if it's a rainy day like it is for us. 304 00:21:54,346 --> 00:21:57,949 So, Madison, do you want to come here? 305 00:21:57,949 --> 00:22:07,259 From our NASA family to you, we want to say bye and have fun (making) cloud observations. 306 00:22:08,860 --> 00:22:09,961 Bye! 307 00:22:11,296 --> 00:22:15,133 Now it’s your turn to analyze some data collected by GLOBE Observers. 308 00:22:15,233 --> 00:22:20,238 We are going to use the Cloud Identification Chart and the Cloud Window Viewer 309 00:22:20,272 --> 00:22:23,041 to identify and classify different types of clouds. 310 00:22:23,642 --> 00:22:28,280 You can keep watching the video and go through the Cloud Classification Presentation 311 00:22:28,313 --> 00:22:30,916 or you can do this activity as a troop, 312 00:22:31,049 --> 00:22:34,019 logging the different types of clouds that you see. 313 00:22:34,152 --> 00:22:36,254 Troops can keep a weekly log 314 00:22:36,355 --> 00:22:40,826 or log conditions on days when you have troop meetings throughout the year. 315 00:22:44,730 --> 00:22:51,269 Your trrop leader should be able to download and print the Cloud Classification Presentation and the Cloud Window Viewer. 316 00:22:52,337 --> 00:22:55,307 Both links are in the script on slide 17 (and listed on the instructions on the next slide). 317 00:22:57,242 --> 00:22:59,544 So here is the instructions. 318 00:23:00,112 --> 00:23:05,283 Each slide will show you a different picture in the “window” of the Cloud Window Viewer. 319 00:23:05,751 --> 00:23:09,921 Use the viewer to identify which type of cloud is in the window. 320 00:23:10,222 --> 00:23:13,191 You can write down your answers on a piece of paper. 321 00:23:13,592 --> 00:23:19,197 After all 8 photos, continue watching the video to see how many you got right? 322 00:24:24,830 --> 00:24:29,334 Okay, and now, here are your answers. 323 00:24:30,769 --> 00:24:34,873 This is a cirrocumulous cloud high in the sky. 324 00:24:35,941 --> 00:24:39,811 This is a cirrus cloud. Also, high and wispy in the sky. 325 00:24:40,846 --> 00:24:44,115 Here is a cumulonimbus cloud, or a storm cloud. 326 00:24:45,484 --> 00:24:50,489 Here we have a cumulus or altocumulus. It's hard to tell because I don't know how high they are. 327 00:24:51,189 --> 00:24:53,225 Here are cumulus clouds. 328 00:24:55,494 --> 00:24:58,463 This is a nimbostratus, or rain cloud. 329 00:25:00,799 --> 00:25:03,768 Here we have stratus clouds, covering the sky. 330 00:25:05,837 --> 00:25:07,706 And here we have a trick question. 331 00:25:07,739 --> 00:25:10,175 There is no clouds! It's clear skies! 332 00:25:10,876 --> 00:25:14,646 Congratulations and thanks for playing the Clouds Classification Challenge. 333 00:25:16,014 --> 00:25:18,717 Now that you are familiar with how to classify clouds, 334 00:25:18,984 --> 00:25:22,120 let’s learn how to use the GLOBE Observer Clouds Tool. 335 00:27:59,344 --> 00:28:01,713 If you want to get started as a GLOBE Observer, 336 00:28:01,746 --> 00:28:04,883 ask your troop leader to register your troop through SciStarter, 337 00:28:05,016 --> 00:28:07,986 then send you the link to set up your accounts. 338 00:28:09,020 --> 00:28:11,289 Once you have a troop scistarter account, you will choose which citizen science opportunity interests you. There are a lot of different citizen science projects (including others with NASA) and others with GLOBE Observer, including: Trees, LandCover, and Mosquito Habitat Mapper, in addition to clouds. 339 00:28:11,322 --> 00:28:15,193 you will choose which citizen science opportunity interests you. 340 00:28:15,226 --> 00:28:21,399 There are a lot of different citizen science projects (including others with NASA) and others with GLOBE Observer, 341 00:28:21,499 --> 00:28:26,938 You could try: Trees, LandCover, or Mosquito Habitat Mapper, in addition to clouds. 342 00:28:28,339 --> 00:28:30,308 Then you need to download the app. 343 00:28:30,809 --> 00:28:34,479 Register as a GLOBE observer and start collecting your data. 344 00:28:35,080 --> 00:28:39,851 The nice part about clouds is that they change and can be observed almost anywhere 345 00:28:40,085 --> 00:28:42,921 (except inside, of course, if there aren't any windows). 346 00:28:43,788 --> 00:28:49,627 So now you’ve learned to Think Like a Citizen Scientist, by observing and collecting and analyzing data, 347 00:28:49,894 --> 00:28:54,065 the next step is to collect and analyze your own data by using the app. 348 00:28:55,467 --> 00:28:59,137 Then, consider how you might use your data to take action. 349 00:28:59,671 --> 00:29:02,640 What kind of take-action projects can you think of doing? 350 00:29:03,975 --> 00:29:05,110 Here are some options. 351 00:29:05,643 --> 00:29:09,180 You know visibility can tell us a lot about how clean our air is. 352 00:29:09,647 --> 00:29:15,820 You could educate some other Girl Scouts or people in your community about air quality and teach them what is in our air. 353 00:29:16,755 --> 00:29:23,194 You could also track frequent storms to help neighbors to know what kind of weather to expect and be able to prepare. 354 00:29:24,129 --> 00:29:32,470 You can also create a storm kit to help when severe storms hit or work to create these kits and distribute them to people within your community. 355 00:29:33,571 --> 00:29:38,076 Or create a team of other Girl Scouts and contribute to citizen science. 356 00:29:39,844 --> 00:29:44,949 If you have any questions for me about NASA, GLOBE Observer, or the Clouds tool 357 00:29:45,383 --> 00:29:48,286 please feel free to contact us or follow us on social media. 358 00:29:48,553 --> 00:29:52,957 We love seeing your take action projects, so please don’t forget to share! 359 00:29:53,224 --> 00:29:56,961 What I love about Girl Scouts is that you all leave the world a better place. 360 00:29:57,228 --> 00:30:01,533 I for one am really excited that you are leading the future for us. 361 00:30:02,600 --> 00:30:07,238 Thank you Girl Scouts for joining me today and learning to Think Like a Citizen Scientist with 362 00:30:07,238 --> 00:30:09,440 The GLOBE Program and GLOBE Observer.