1 00:00:00,000 --> 00:00:01,520 Welcome back to Meteorology Matters. 2 00:00:01,520 --> 00:00:02,800 You know, today we're going to, 3 00:00:02,800 --> 00:00:06,100 we're diving into a story that you might not expect one 4 00:00:06,100 --> 00:00:08,280 that connects presidential budget cuts 5 00:00:08,280 --> 00:00:11,280 to the accuracy of hurricane forecasts 6 00:00:11,280 --> 00:00:12,800 and ultimately your safety. 7 00:00:12,800 --> 00:00:13,680 Oh yeah. 8 00:00:13,680 --> 00:00:17,760 It's fascinating how these seemingly distant 9 00:00:17,760 --> 00:00:19,600 political decisions, you know, 10 00:00:19,600 --> 00:00:21,840 can have such a direct impact on our lives, 11 00:00:21,840 --> 00:00:24,120 especially when it comes to severe weather. 12 00:00:24,120 --> 00:00:24,960 For sure. 13 00:00:24,960 --> 00:00:26,000 And before we get started, 14 00:00:26,000 --> 00:00:28,200 a quick reminder to subscribe to the podcast 15 00:00:28,200 --> 00:00:30,080 and follow meteorologist Rob Jones. 16 00:00:30,080 --> 00:00:30,920 Right. 17 00:00:30,920 --> 00:00:33,760 You can find him on Instagram at meteorologistontiktock 18 00:00:33,760 --> 00:00:36,240 at TV meteorologist and on YouTube, 19 00:00:36,240 --> 00:00:37,680 follow Rob Jones' hurricane. 20 00:00:37,680 --> 00:00:38,520 Uh-huh. 21 00:00:38,520 --> 00:00:40,120 That's also where you'll find the meteorology 22 00:00:40,120 --> 00:00:41,520 matters podcast playlist. 23 00:00:41,520 --> 00:00:42,360 Okay. 24 00:00:42,360 --> 00:00:44,280 Now let's imagine a hurricane is barreling 25 00:00:44,280 --> 00:00:45,660 towards your coast. 26 00:00:45,660 --> 00:00:47,160 You check the forecast, 27 00:00:47,160 --> 00:00:49,080 but what you don't know is that the information 28 00:00:49,080 --> 00:00:51,520 feeding that forecast might be incomplete 29 00:00:51,520 --> 00:00:54,300 because of budget cuts made by the Trump administration. 30 00:00:54,300 --> 00:00:55,240 Yeah, that's right. 31 00:00:55,240 --> 00:00:57,440 These cuts targeted the national, 32 00:00:57,440 --> 00:00:59,320 oceanic and atmospheric administration, 33 00:00:59,320 --> 00:01:00,960 or as we often call it, NOAA. 34 00:01:00,960 --> 00:01:01,800 Yeah, okay. 35 00:01:01,800 --> 00:01:03,920 And specifically impacted their hurricane hunters. 36 00:01:03,920 --> 00:01:05,480 Hurricane hunters. 37 00:01:05,480 --> 00:01:07,720 Those are the brave pilots and scientists 38 00:01:07,720 --> 00:01:10,120 who fly right into the eye of the storm, right? 39 00:01:10,120 --> 00:01:10,960 Precisely. 40 00:01:10,960 --> 00:01:12,360 They use specialized instruments, 41 00:01:12,360 --> 00:01:13,920 including Doppler radar, 42 00:01:13,920 --> 00:01:17,240 to create a 3D picture of the hurricane structure. 43 00:01:17,240 --> 00:01:19,160 Think of it like getting an X-ray of the storm 44 00:01:19,160 --> 00:01:21,360 revealing its intensity and potential path. 45 00:01:21,360 --> 00:01:22,280 Wow. 46 00:01:22,280 --> 00:01:25,640 This data is absolutely crucial for accurate forecasting. 47 00:01:25,640 --> 00:01:29,040 Okay, so these hurricane hunter flights are important, 48 00:01:29,040 --> 00:01:32,660 but how do Trump's budget cuts play into this? 49 00:01:32,660 --> 00:01:35,080 Well, the cuts led to layoffs within NOAA, 50 00:01:35,080 --> 00:01:37,980 including some key personnel from the hurricane hunters 51 00:01:37,980 --> 00:01:40,360 and the National Hurricane Center, 52 00:01:40,360 --> 00:01:41,960 the folks responsible for issuing 53 00:01:41,960 --> 00:01:43,640 those critical hurricane warnings. 54 00:01:43,640 --> 00:01:44,480 Right. 55 00:01:44,480 --> 00:01:45,400 One of the most concerning impacts 56 00:01:45,400 --> 00:01:47,480 is the loss of flight directors. 57 00:01:47,480 --> 00:01:49,080 Why are flight directors so important? 58 00:01:49,080 --> 00:01:50,520 What do they actually do? 59 00:01:50,520 --> 00:01:53,480 Every hurricane hunter mission requires a flight director. 60 00:01:53,480 --> 00:01:55,340 They're highly trained meteorologists 61 00:01:55,340 --> 00:01:57,320 who make real-time decisions during the flight, 62 00:01:57,320 --> 00:01:58,800 ensuring the safety of the crew 63 00:01:58,800 --> 00:02:00,760 and the success of the mission. 64 00:02:00,760 --> 00:02:02,920 But with fewer flight directors available, 65 00:02:02,920 --> 00:02:03,760 the number of flights 66 00:02:03,760 --> 00:02:06,160 that hurricane hunters can conduct is limited. 67 00:02:06,160 --> 00:02:08,880 So it's like a sports team being short, a key player. 68 00:02:08,880 --> 00:02:10,600 They might be able to get on the field, 69 00:02:10,600 --> 00:02:12,320 but they can't perform at their best. 70 00:02:12,320 --> 00:02:14,000 That's a great analogy. 71 00:02:14,000 --> 00:02:17,180 And in this case, the game is about keeping people safe 72 00:02:17,180 --> 00:02:18,280 from hurricanes. 73 00:02:18,280 --> 00:02:19,120 Right. 74 00:02:19,120 --> 00:02:20,760 Fewer flights mean less data, 75 00:02:20,760 --> 00:02:22,920 which means less accurate forecasts, 76 00:02:22,920 --> 00:02:24,600 especially when it comes to predicting 77 00:02:24,600 --> 00:02:26,200 a hurricane's intensity. 78 00:02:26,200 --> 00:02:28,320 Experts estimate that with fewer flights, 79 00:02:28,320 --> 00:02:30,400 forecast errors for hurricane intensity 80 00:02:30,400 --> 00:02:33,560 could increase significantly, potentially, 81 00:02:33,560 --> 00:02:35,460 meaning the difference between a category two 82 00:02:35,460 --> 00:02:37,080 and a devastating category four. 83 00:02:37,080 --> 00:02:38,320 That's a huge difference. 84 00:02:38,320 --> 00:02:40,720 And it seems like that lack of precise information 85 00:02:40,720 --> 00:02:42,580 could really impact people's decisions 86 00:02:42,580 --> 00:02:45,200 about whether to evacuate or how to prepare. 87 00:02:45,200 --> 00:02:46,040 You're absolutely right. 88 00:02:46,040 --> 00:02:48,680 The accuracy of those forecasts directly translates 89 00:02:48,680 --> 00:02:50,720 to how much time people have to prepare 90 00:02:50,720 --> 00:02:53,280 and make potentially life-saving decisions. 91 00:02:53,280 --> 00:02:54,560 This is pretty unsettling. 92 00:02:54,560 --> 00:02:56,200 I'm starting to see how these budget cuts 93 00:02:56,200 --> 00:02:57,480 could have a ripple effect, 94 00:02:57,480 --> 00:03:00,260 making us all more vulnerable to hurricane threats. 95 00:03:00,260 --> 00:03:01,480 It's a complex issue. 96 00:03:01,480 --> 00:03:03,160 And to make it even more real, 97 00:03:03,160 --> 00:03:05,820 consider the story of Carrie Englert, a flight director, 98 00:03:05,820 --> 00:03:08,760 who was laid off despite her strong performance record. 99 00:03:08,760 --> 00:03:10,260 I remember reading about that. 100 00:03:10,260 --> 00:03:12,620 It seems like she was truly passionate about her work. 101 00:03:12,620 --> 00:03:13,520 She was. 102 00:03:13,520 --> 00:03:15,500 And in an interview, she highlighted 103 00:03:15,500 --> 00:03:17,160 that Noah had originally aimed 104 00:03:17,160 --> 00:03:20,080 to have 10 flight director positions filled. 105 00:03:20,080 --> 00:03:20,920 Wow. 106 00:03:20,920 --> 00:03:22,380 After she and another flight director 107 00:03:22,380 --> 00:03:24,280 were let go, only six remain. 108 00:03:24,280 --> 00:03:25,200 Oh my God. 109 00:03:25,200 --> 00:03:28,320 She expressed concern that if even one more flight director 110 00:03:28,320 --> 00:03:31,740 was unable to fly due to illness or other reasons, 111 00:03:31,740 --> 00:03:33,560 the number of hurricane hunter flights 112 00:03:33,560 --> 00:03:34,720 would be further reduced. 113 00:03:34,720 --> 00:03:37,040 So even one person being unavailable 114 00:03:37,040 --> 00:03:38,440 could have a significant impact. 115 00:03:38,440 --> 00:03:39,280 Exactly. 116 00:03:39,280 --> 00:03:41,160 And remember, these are highly trained professionals 117 00:03:41,160 --> 00:03:43,520 whose job is to keep us safe from hurricanes. 118 00:03:43,520 --> 00:03:44,720 Losing someone like Carrie, 119 00:03:44,720 --> 00:03:46,860 who is clearly skilled and dedicated, 120 00:03:46,860 --> 00:03:48,560 is a loss for everyone. 121 00:03:48,560 --> 00:03:49,600 It's heartbreaking to think about 122 00:03:49,600 --> 00:03:52,040 the human cost of these budget cuts. 123 00:03:52,040 --> 00:03:53,840 We're not just talking about numbers on a spreadsheet. 124 00:03:53,840 --> 00:03:56,680 We're talking about people's livelihoods 125 00:03:56,680 --> 00:03:58,960 and their ability to contribute to vital work 126 00:03:58,960 --> 00:03:59,960 that keeps us safe. 127 00:03:59,960 --> 00:04:01,120 You've hit the nail on the head. 128 00:04:01,120 --> 00:04:04,300 And while the loss of flight directors is a major concern, 129 00:04:04,300 --> 00:04:05,880 the impacts of these budget cuts 130 00:04:05,880 --> 00:04:08,480 extend far beyond the hurricane hunters. 131 00:04:08,480 --> 00:04:09,320 You're right. 132 00:04:09,320 --> 00:04:11,800 Other departments within Noah have also been affected, 133 00:04:11,800 --> 00:04:14,080 including critical research initiatives 134 00:04:14,080 --> 00:04:16,400 and the development of forecasting models. 135 00:04:16,400 --> 00:04:17,240 That's right. 136 00:04:17,240 --> 00:04:18,520 And that raises some important questions 137 00:04:18,520 --> 00:04:21,000 about the long-term impact of these cuts. 138 00:04:21,000 --> 00:04:25,160 Are we potentially hindering progress in hurricane forecasting? 139 00:04:25,160 --> 00:04:28,360 Could we be missing out on new technologies or models 140 00:04:28,360 --> 00:04:30,640 that could save lives and billions of dollars 141 00:04:30,640 --> 00:04:32,160 in hurricane damage? 142 00:04:32,160 --> 00:04:33,360 Those are crucial questions. 143 00:04:33,360 --> 00:04:35,000 And it seems like we need to dig a little deeper 144 00:04:35,000 --> 00:04:37,800 to understand the full scope of these budget cuts 145 00:04:37,800 --> 00:04:40,640 and what they mean for the future of hurricane forecasting. 146 00:04:40,640 --> 00:04:41,480 Absolutely. 147 00:04:41,480 --> 00:04:45,200 And while I understand the concerns about flight directors, 148 00:04:45,200 --> 00:04:47,160 isn't there a possibility that technology 149 00:04:47,160 --> 00:04:49,240 could help fill some of the gaps? 150 00:04:49,240 --> 00:04:52,880 Are there automated systems or remote piloting options 151 00:04:52,880 --> 00:04:54,320 being explored? 152 00:04:54,320 --> 00:04:55,200 That's a great point. 153 00:04:55,200 --> 00:04:57,480 And it leads us into another critical area, 154 00:04:57,480 --> 00:05:00,080 the impact on research and model development. 155 00:05:00,080 --> 00:05:02,560 I'm curious to learn more about the specific programs 156 00:05:02,560 --> 00:05:04,640 that have been affected and what breakthroughs we 157 00:05:04,640 --> 00:05:06,000 might be missing out on. 158 00:05:06,000 --> 00:05:06,500 Definitely. 159 00:05:06,500 --> 00:05:08,160 Let's delve into that next. 160 00:05:08,160 --> 00:05:09,680 It's a crucial piece of the puzzle 161 00:05:09,680 --> 00:05:12,920 in understanding the full impact of these budget cuts. 162 00:05:12,920 --> 00:05:16,080 So shifting gears to research and model development, 163 00:05:16,080 --> 00:05:18,160 you might be surprised to learn that some 164 00:05:18,160 --> 00:05:21,200 of the most sophisticated tools we use to predict hurricanes 165 00:05:21,200 --> 00:05:25,440 are constantly evolving thanks to ongoing research at NOAA. 166 00:05:25,440 --> 00:05:26,360 That makes sense. 167 00:05:26,360 --> 00:05:28,880 After all, technology is always advancing, 168 00:05:28,880 --> 00:05:31,480 and we need to stay ahead of the curve when it comes to forecasting 169 00:05:31,480 --> 00:05:33,040 these powerful storms. 170 00:05:33,040 --> 00:05:36,080 What kind of research has been affected by the budget cuts? 171 00:05:36,080 --> 00:05:38,560 One area that's been hit particularly hard 172 00:05:38,560 --> 00:05:41,080 is the development of hurricane models. 173 00:05:41,080 --> 00:05:44,080 These models are incredibly complex computer programs 174 00:05:44,080 --> 00:05:47,840 that simulate hurricane behavior based on a ton of data, 175 00:05:47,840 --> 00:05:49,640 including the observations collected 176 00:05:49,640 --> 00:05:51,840 by the hurricane hunters we were just talking about. 177 00:05:51,840 --> 00:05:53,840 So if those models aren't getting the same level 178 00:05:53,840 --> 00:05:56,880 of detailed information due to fewer flights, 179 00:05:56,880 --> 00:05:58,560 wouldn't that impact their accuracy? 180 00:05:58,560 --> 00:05:59,120 Exactly. 181 00:05:59,120 --> 00:06:00,920 Think of it like trying to bake a cake 182 00:06:00,920 --> 00:06:02,520 without all the ingredients. 183 00:06:02,520 --> 00:06:05,240 You might be able to make something that resembles a cake, 184 00:06:05,240 --> 00:06:07,400 but it won't be as good as it could be. 185 00:06:07,400 --> 00:06:10,440 Similarly, with less data feeding into the models, 186 00:06:10,440 --> 00:06:13,480 their ability to predict a hurricane's path and intensity 187 00:06:13,480 --> 00:06:14,560 could be compromised. 188 00:06:14,560 --> 00:06:15,560 That's a great way to put it. 189 00:06:15,560 --> 00:06:17,680 It's like we're trying to solve a complex puzzle 190 00:06:17,680 --> 00:06:19,240 with missing pieces. 191 00:06:19,240 --> 00:06:22,120 Are there any specific examples of research projects 192 00:06:22,120 --> 00:06:24,320 that have been impacted by these cuts? 193 00:06:24,320 --> 00:06:25,040 There are several. 194 00:06:25,040 --> 00:06:26,840 Unfortunately, one promising project 195 00:06:26,840 --> 00:06:28,680 that was delayed due to funding forages 196 00:06:28,680 --> 00:06:31,840 was focused on predicting rapid intensification. 197 00:06:31,840 --> 00:06:34,520 This is a phenomenon where a hurricane can suddenly 198 00:06:34,520 --> 00:06:37,200 and unexpectedly increase in strength sometimes 199 00:06:37,200 --> 00:06:40,000 by multiple categories in just a few hours. 200 00:06:40,000 --> 00:06:41,480 Wow, that sounds incredible. 201 00:06:41,480 --> 00:06:45,000 Why is predicting rapid intensification so difficult? 202 00:06:45,000 --> 00:06:47,000 It's a really complex process, and scientists 203 00:06:47,000 --> 00:06:48,920 are still working to fully understand 204 00:06:48,920 --> 00:06:50,280 all the factors involved. 205 00:06:50,280 --> 00:06:52,640 But having more data from hurricane hunter flights, 206 00:06:52,640 --> 00:06:54,600 especially from Doppler radar, could 207 00:06:54,600 --> 00:06:56,720 help researchers identify the early warning 208 00:06:56,720 --> 00:06:59,000 signs of rapid intensification. 209 00:06:59,000 --> 00:07:01,840 So without that research and those advancements in modeling, 210 00:07:01,840 --> 00:07:03,960 we're potentially putting coastal communities 211 00:07:03,960 --> 00:07:05,440 at even greater risk. 212 00:07:05,440 --> 00:07:07,360 Unfortunately, yes. 213 00:07:07,360 --> 00:07:10,680 Predicting rapid intensification is still a major challenge. 214 00:07:10,680 --> 00:07:12,720 But the research that was being done at NOAA 215 00:07:12,720 --> 00:07:16,160 was showing real promise in improving those forecasts. 216 00:07:16,160 --> 00:07:18,160 And those improvements could mean the difference 217 00:07:18,160 --> 00:07:20,520 between life and death for people living 218 00:07:20,520 --> 00:07:22,280 in hurricane prone areas. 219 00:07:22,280 --> 00:07:23,960 That's really sobering. 220 00:07:23,960 --> 00:07:26,640 It seems like these budget cuts have far-reaching consequences, 221 00:07:26,640 --> 00:07:29,240 not just for the scientists and researchers at NOAA, 222 00:07:29,240 --> 00:07:33,320 but for all of us who rely on accurate hurricane forecasts. 223 00:07:33,320 --> 00:07:34,120 Exactly. 224 00:07:34,120 --> 00:07:35,880 And the irony is that these cuts are 225 00:07:35,880 --> 00:07:38,160 happening at a time when climate change is making 226 00:07:38,160 --> 00:07:41,200 hurricanes stronger and more unpredictable. 227 00:07:41,200 --> 00:07:41,680 Right. 228 00:07:41,680 --> 00:07:43,320 So we're facing a greater threat, 229 00:07:43,320 --> 00:07:45,240 but we're actually reducing our ability 230 00:07:45,240 --> 00:07:46,880 to predict and prepare for it. 231 00:07:46,880 --> 00:07:48,040 It's a bit counterintuitive. 232 00:07:48,040 --> 00:07:50,200 Wouldn't you say we should be investing more 233 00:07:50,200 --> 00:07:52,920 in hurricane research and forecasting, not less? 234 00:07:52,920 --> 00:07:53,720 Absolutely. 235 00:07:53,720 --> 00:07:57,040 So we've talked about the impacts on the hurricane hunters 236 00:07:57,040 --> 00:07:58,680 and the research being done at NOAA. 237 00:07:58,680 --> 00:07:59,360 Right. 238 00:07:59,360 --> 00:08:01,000 But what about the National Hurricane Center? 239 00:08:01,000 --> 00:08:03,880 They're the ones who issue the warnings and advisories 240 00:08:03,880 --> 00:08:07,160 that we all rely on, have they been affected by these budget 241 00:08:07,160 --> 00:08:07,760 cuts? 242 00:08:07,760 --> 00:08:08,880 Yes, they have. 243 00:08:08,880 --> 00:08:10,320 While the National Hurricane Center 244 00:08:10,320 --> 00:08:12,480 hasn't experienced the same level of personnel cuts 245 00:08:12,480 --> 00:08:14,760 as the hurricane hunters, they rely 246 00:08:14,760 --> 00:08:18,120 heavily on the data and research coming from NOAA 247 00:08:18,120 --> 00:08:19,480 to make their forecasts. 248 00:08:19,480 --> 00:08:23,000 So any reduction in data quality or research output 249 00:08:23,000 --> 00:08:25,200 ultimately impacts their ability to do their jobs 250 00:08:25,200 --> 00:08:26,160 effectively. 251 00:08:26,160 --> 00:08:28,400 So it's really a domino effect. 252 00:08:28,400 --> 00:08:30,520 Cuts in one area can have a ripple effect 253 00:08:30,520 --> 00:08:33,040 throughout the entire hurricane forecasting system. 254 00:08:33,040 --> 00:08:33,720 Precisely. 255 00:08:33,720 --> 00:08:35,960 And those ripples can ultimately reach all of us 256 00:08:35,960 --> 00:08:37,960 who live in coastal communities and depend 257 00:08:37,960 --> 00:08:40,440 on accurate forecasts to make informed decisions 258 00:08:40,440 --> 00:08:41,600 about our safety. 259 00:08:41,600 --> 00:08:43,360 I'm starting to see the bigger picture here. 260 00:08:43,360 --> 00:08:45,400 It's not just about budget numbers. 261 00:08:45,400 --> 00:08:47,400 It's about the interconnectedness of science 262 00:08:47,400 --> 00:08:49,480 technology in human lives. 263 00:08:49,480 --> 00:08:51,240 And it seems like we might be underestimating 264 00:08:51,240 --> 00:08:53,400 the importance of investing in those connections. 265 00:08:53,400 --> 00:08:56,160 I think that's a key takeaway from this conversation. 266 00:08:56,160 --> 00:08:58,560 Hurricane forecasting is not just about science. 267 00:08:58,560 --> 00:08:59,920 It's about people. 268 00:08:59,920 --> 00:09:02,600 It's about the scientists and researchers working tirelessly 269 00:09:02,600 --> 00:09:05,480 behind the scenes to improve our understanding 270 00:09:05,480 --> 00:09:07,240 of these powerful storms. 271 00:09:07,240 --> 00:09:10,040 It's about the hurricane hunters who risk their lives 272 00:09:10,040 --> 00:09:11,560 to gather vital data. 273 00:09:11,560 --> 00:09:14,320 And it's about all of us who rely on accurate forecasts 274 00:09:14,320 --> 00:09:17,560 to keep ourselves and our loved ones safe. 275 00:09:17,560 --> 00:09:18,120 Well said. 276 00:09:18,120 --> 00:09:21,120 But it feels a bit overwhelming. 277 00:09:21,120 --> 00:09:23,560 What can we as average citizens actually 278 00:09:23,560 --> 00:09:27,520 do to ensure we have the best possible hurricane forecasts, 279 00:09:27,520 --> 00:09:30,000 especially in light of these budget cuts? 280 00:09:30,000 --> 00:09:30,840 That's a great question. 281 00:09:30,840 --> 00:09:32,760 And one we'll explore further. 282 00:09:32,760 --> 00:09:33,800 Let's explore that now. 283 00:09:33,800 --> 00:09:35,880 So we were just talking about what we can do. 284 00:09:35,880 --> 00:09:38,040 And I think one of the most impactful things we can do 285 00:09:38,040 --> 00:09:41,640 is become informed and engaged citizens. 286 00:09:41,640 --> 00:09:42,760 What do you mean by that? 287 00:09:42,760 --> 00:09:45,000 Well, for starters, we need to understand 288 00:09:45,000 --> 00:09:46,640 how whether policy decisions are made 289 00:09:46,640 --> 00:09:47,840 and who our elected officials are, 290 00:09:47,840 --> 00:09:50,120 then we can make our voices heard by contacting them 291 00:09:50,120 --> 00:09:52,640 and expressing our support for funding scientific research 292 00:09:52,640 --> 00:09:55,800 at NOAA, especially when it comes to hurricane forecasting. 293 00:09:55,800 --> 00:09:58,200 So writing letters, making phone calls, that sort of thing. 294 00:09:58,200 --> 00:09:58,640 Exactly. 295 00:09:58,640 --> 00:10:00,000 It might seem like a small act. 296 00:10:00,000 --> 00:10:02,160 But believe me, those messages do get noticed, 297 00:10:02,160 --> 00:10:04,240 especially when they come from a collective voice. 298 00:10:04,240 --> 00:10:05,480 That makes sense. 299 00:10:05,480 --> 00:10:07,720 Is there anything else we can do besides contacting 300 00:10:07,720 --> 00:10:09,000 our elected officials? 301 00:10:09,000 --> 00:10:09,600 Absolutely. 302 00:10:09,600 --> 00:10:12,240 Staying informed about whether policy is crucial. 303 00:10:12,240 --> 00:10:15,480 We need to pay attention to proposed legislation, 304 00:10:15,480 --> 00:10:19,000 budget allocations, and any policy changes 305 00:10:19,000 --> 00:10:22,160 that could affect hurricane research and forecasting. 306 00:10:22,160 --> 00:10:23,800 So we need to be aware of what's happening 307 00:10:23,800 --> 00:10:26,080 and be ready to speak up if necessary. 308 00:10:26,080 --> 00:10:29,000 But how do we even keep track of all that information? 309 00:10:29,000 --> 00:10:30,440 Seems like a lot to follow. 310 00:10:30,440 --> 00:10:30,840 Yeah. 311 00:10:30,840 --> 00:10:33,720 There are some great resources available to help with 312 00:10:33,720 --> 00:10:36,960 that several organizations are dedicated to advocating 313 00:10:36,960 --> 00:10:38,680 for science-based policy. 314 00:10:38,680 --> 00:10:40,520 And they often provide updates and alerts 315 00:10:40,520 --> 00:10:42,040 about relevant issues. 316 00:10:42,040 --> 00:10:43,600 You can also sign up for newsletters 317 00:10:43,600 --> 00:10:46,600 from reputable news sources that cover weather and climate 318 00:10:46,600 --> 00:10:47,120 issues. 319 00:10:47,120 --> 00:10:48,720 Those are all great suggestions. 320 00:10:48,720 --> 00:10:51,520 It sounds like knowledge is really power in this case. 321 00:10:51,520 --> 00:10:53,640 The more we understand about the issue 322 00:10:53,640 --> 00:10:55,840 and the political processes involved, 323 00:10:55,840 --> 00:10:58,560 the more effectively we can advocate for change. 324 00:10:58,560 --> 00:10:59,360 You got it. 325 00:10:59,360 --> 00:11:00,920 And beyond individual actions, we 326 00:11:00,920 --> 00:11:03,480 can also support organizations that are actively 327 00:11:03,480 --> 00:11:06,720 working to advance weather research and forecasting. 328 00:11:06,720 --> 00:11:09,000 Are there specific organizations you would recommend 329 00:11:09,000 --> 00:11:09,960 looking into? 330 00:11:09,960 --> 00:11:12,440 There are quite a few doing incredible work. 331 00:11:12,440 --> 00:11:14,680 The American Meteorological Society, for example, 332 00:11:14,680 --> 00:11:17,240 is a great resource for staying up to date on the latest 333 00:11:17,240 --> 00:11:20,400 research and advocating for sound weather policies. 334 00:11:20,400 --> 00:11:22,960 There are also several nonprofit organizations 335 00:11:22,960 --> 00:11:25,240 dedicated to supporting hurricane research 336 00:11:25,240 --> 00:11:28,120 and improving forecasting capabilities. 337 00:11:28,120 --> 00:11:30,440 A little online research can go a long way 338 00:11:30,440 --> 00:11:33,520 in finding organizations that align with your interests. 339 00:11:33,520 --> 00:11:35,800 I like that idea, supporting those organizations 340 00:11:35,800 --> 00:11:37,120 can make a real difference. 341 00:11:37,120 --> 00:11:38,200 It definitely can. 342 00:11:38,200 --> 00:11:40,080 Even small contributions can help 343 00:11:40,080 --> 00:11:42,880 fund research projects, educational programs, 344 00:11:42,880 --> 00:11:45,960 and advocacy efforts that ultimately benefit everyone. 345 00:11:45,960 --> 00:11:47,560 I'm feeling a little more empowered now, 346 00:11:47,560 --> 00:11:51,200 knowing that there are things we can do to make a difference. 347 00:11:51,200 --> 00:11:53,320 It's easy to feel helpless when facing something 348 00:11:53,320 --> 00:11:55,920 as big and complex as government budget cuts. 349 00:11:55,920 --> 00:11:58,760 But it sounds like every voice and every action counts. 350 00:11:58,760 --> 00:11:59,640 I completely agree. 351 00:11:59,640 --> 00:12:00,840 And I think it's important to remember 352 00:12:00,840 --> 00:12:04,880 that this is about more than just numbers on a spreadsheet. 353 00:12:04,880 --> 00:12:06,880 It's about people's lives, their safety, 354 00:12:06,880 --> 00:12:08,360 and their livelihoods. 355 00:12:08,360 --> 00:12:11,200 When we advocate for better hurricane forecasting, 356 00:12:11,200 --> 00:12:13,400 we're advocating for our communities 357 00:12:13,400 --> 00:12:15,760 and for a future where we're better prepared 358 00:12:15,760 --> 00:12:17,600 for the challenges of a change in climate. 359 00:12:17,600 --> 00:12:18,760 That's a powerful message. 360 00:12:18,760 --> 00:12:20,480 And it brings us back to where we started, 361 00:12:20,480 --> 00:12:23,280 imagining a hurricane barreling towards your coast 362 00:12:23,280 --> 00:12:26,240 by staying informed, engaging with our elected officials, 363 00:12:26,240 --> 00:12:28,880 and supporting organizations dedicated to weather research 364 00:12:28,880 --> 00:12:30,800 and forecasting. 365 00:12:30,800 --> 00:12:32,920 We can help ensure that the information feeding 366 00:12:32,920 --> 00:12:36,360 those crucial forecasts is as accurate and complete 367 00:12:36,360 --> 00:12:37,120 as possible. 368 00:12:37,120 --> 00:12:37,680 Well said. 369 00:12:37,680 --> 00:12:39,840 It's a collective effort, and it requires all of us 370 00:12:39,840 --> 00:12:40,680 to play a part. 371 00:12:40,680 --> 00:12:42,560 But together, we can make a difference. 372 00:12:42,560 --> 00:12:43,880 Absolutely. 373 00:12:43,880 --> 00:12:46,120 So that's it for today's episode of Meteorology Matters. 374 00:12:46,120 --> 00:12:47,800 We hope this conversation has provided you 375 00:12:47,800 --> 00:12:50,400 with a deeper understanding of the complexities of hurricane 376 00:12:50,400 --> 00:12:53,040 forecasting and the importance of investing in science 377 00:12:53,040 --> 00:12:55,440 and technology to keep our communities safe. 378 00:12:55,440 --> 00:12:56,560 Thank you for joining us. 379 00:12:56,560 --> 00:12:58,680 And remember, knowledge is power, especially 380 00:12:58,680 --> 00:13:00,200 when it comes to the weather. 381 00:13:00,200 --> 00:13:01,040 Stay informed. 382 00:13:01,040 --> 00:13:03,800 Stay engaged, and stay safe.