Podcasts about Weather forecasting

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how you will overcome creative blocks while navigating information overload and create new content ideas. You’ll discover why AI keeps offering generic advice and how you can bypass those predictable suggestions. You’ll learn to pull unconventional strategies from unrelated fields and apply them to your marketing plans. You’ll identify two distinct thinking patterns that unlock fresh content ideas when your usual topics feel stale. 00:00 – Introduction 03:15 – The challenge of information overload 07:40 – Why AI defaults to common advice 12:20 – Deductive versus inductive thinking 16:50 – Finding psychological safety for exploration 21:10 – Cross-pollinating ideas from other industries 26:35 – A practical research workflow 31:00 – Call to action Hit play to uncover how shifting your perspective transforms stale ideas into bold marketing breakthroughs. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-content-marketing-inspirations.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights. This is the age of AI, where there is more information than ever, more data than ever, more everything than ever before. And yet behind the scenes, when we were prepping for this episode today, Katie, I said, hey, what would you like to talk about today? And your response was, I have no idea. Let me ask you a couple of different questions. One, is it that the material recovering feels like it’s been done before, or is it also that there’s just so much to choose from that you end up with what Barry Schwartz calls the paralysis of choice? Katie Robbert: Yes. So let me pull those apart. So much is changing in the field of AI and where we focus down in on with analytics, marketing, operations, and helping businesses. We do such a good job of thoroughly exploring topics, and the process that we have for creating content is so efficient that we can churn out a lot of it very quickly. So I feel like personally, the things that we would cover that are relevant to our business and relevant to our audience now there’s always another stone to turn over. But then you start getting really deep into the weeds. And where I wrestle is do you start alienating parts of your audience to really focus on those very specific niche pieces? To the other part of the question? Yes, I do feel like there’s so much information. Again, this is sort of the side effect of generative AI that you sort of become numb and blind to all of the information because there’s so much. I remember when we worked at the agency and you used to produce this report, I think it was yearly, on the number of pieces of content created. And you know, this was prior to generative AI, this was just the number would go up exponentially year over year. And you know, I can’t even imagine what that number would be now. And just sort of seeing the uptick. And so I don’t, I feel like I’m deep in the weeds of stuff that I’m working on day to day in the business. Part of it is I’m like, I don’t know if anybody would even care to hear about this, if it even resonates or if it makes sense or if we’re supposed to be doing that big thinking and like introducing new concepts and you know, doing the thought leadership of what’s happening with AI and analytics. Here’s the thing about analytics. There’s only so many ways. There’s a lot of ways to analyze data, but there’s only so many ways to analyze data. And so I feel like at this point, unless a brand new analysis methodology is invented, which I could happen, but I feel like we’re pretty good, we’re solid, you know, it’s not worth talking about again. But I could be wrong. I could just be having a very blah Monday morning where I’m like very feeling very existential of like, what’s the point of any of it? Christopher S. Penn: Which, given the macro picture, which is a totally separate podcast, is true. In the catalog of analytics that we use, that I use, there’s about 1400 techniques that span 22 disciplines, everything from weather forecasting to agronomy and agriculture and stuff like that. And one of the things that I was talking about this weekend in my own personal newsletter was how limited marketers are in their choice of analytics when you use AI, because AI naturally gravitates to what we’ve already written about. So we’ll talk about attribution analysis, we’ll talk about social media marketing, we’ll talk about impressions. Our advisor, Ginny Dietrich’s most hated measurement of all ad value equivalents. And these are all associated statistically, probabilistically in these AI tools with marketing analytics. So if you say, hey ChatGPT, I need some marketing analytics help with this, you know, Google Analytics data source, it will give you the most probable things which will be old hat. Like, it will be like, oh, have you tried doing, you know, basic trend analysis? Like, yes. Have you tried doing time series analysis? Yes. Right. And that is a blind spot that AI can never overcome because of its nature as a probability based tool. You, the human, have to have the largeness of vision and the vocabulary to say, hey, you know, chat GPT or co pilot or whatever. I’ve got this issue here and I’m having trouble understanding what’s driving the set of changes. What analytics techniques from agriculture and agronomy might be a good fit for this data and suddenly be like, I know all about agronomy, which it does. And have you tried pairwise combination holdout? And you’re like, what is even? I don’t even know what those words mean. Katie Robbert: Nope. And I hear what you’re saying and I feel like we’ve talked about versions of this where in order to get the most out of the tools you have, you really have to be curious and thinking outside of the box and that’s something, Chris, that you do very well. That’s one of your strongest professional attributes is you say, where can I look outside of this lens and see like and pull out like agriculture. So I don’t think that’s the default thinking for most. Take marketing out of it. For most people, it’s like I’m looking at a problem. I’m trying to figure out why my bread dough isn’t rising. Let me look at the fashion industry and see what I can learn from that. About, like, it doesn’t make sense because it feels like putting square pegs in round holes and I don’t know, maybe that’s sort of where I’m stuck, is maybe I’m not someone who’s good at looking outside of. Like, I’m a very rules and process oriented person. I like things to be predictable. So perhaps for me, that’s where I struggle with this concept of I’m trying to analyze my marketing data. How does agriculture do it? Like that to me is just like, why would I ever do that? That seems ridiculous to me. That’s not how this rule works. And so that’s definitely not one of my strengths. Which again is why you and I are very complimentary in our strengths and weaknesses. And you know, I just went. When we come back to the purpose of today’s podcast, I feel like, you know, maybe that’s where thinking about topics to talk about is where I’m struggling because I feel like I’m a fairly creative person. But I also, I remember I started taking art classes in first grade and went all the way through 10th grade of high school. And I, my skill set really didn’t progress. It really wasn’t something that, like, it was something I wanted to be good at. But I just, I’m not an overly creative person. I’m creative when it comes to problem solving. But I feel like I also have a really Good toolbox. But if you start to say, okay, your toolbox is now going to contain these things that belong in, you know, biochemistry and welding, those are not industries I know a lot about. I’m like, nope, I don’t want that in my toolbox because I can’t, I don’t understand it. I don’t get it. I don’t know. There’s a lot of like therapy for me this morning. Christopher S. Penn: Well, what you’re describing is the difference between inductive and deductive reasoning. So as a rules based person, you would be a deductive reasoning person. You have a set of rules and principles and concepts in a domain that you break down to specific conclusions. If we think about the 5P framework by Trust Insights is exactly that. Five different areas, purpose, people, process, platform, performance that have governing principles for each of these. And you could take that general thing and distill it down for any problem that you run into, right? And say, okay, how can I make this. We’ve you’ve talked about even making it a prompt framework for AI because it’s so good at it. The opposite is called inductive reasoning where you say, I got a bunch of stuff, it’s all very confusing, it’s all not related. What is in common? And so for example, if you look at agronomy and weather forecasting and econometrics and marketing, what is the through line, the weird thread that goes through all of them for marketing analytics, and that is math, right? The mathematical techniques that each discipline has to use that are different from discipline to get to the answers. And so inductive reasoning says, can we find those threads from these crazily not related fields, hold on those threads and turn them into something like, oh, we can use this in marketing. We have data that resembles this. How do we adapt it? And so that’s the difference. And so when we look at like content creation, saying what are we going to talk about today? If we start from that deductive reasoning perspective of, well, we’ve done AI 18 ways to Sunday. We’ve done prompting, you know, 22 ways to Sunday. Well, they’re left to do that is a deductive perspective. And there’s, that is a great way to do it because you cover everything. The inductive way is okay, say okay, this is what you flip to when you’re like, we’ve done it all, what’s left? Okay, now you flip to inductive reasoning. Say what about this weird edge case over here? Let’s pull that apart and see where it leads. Katie Robbert: Well, I mean, and this aligns with what we always joke about, that you know, what will be written on your tombstone is what does this button do? You know, and there’s a part of me that wishes I was a little bit more open, more curious, you know, I feel like I am, but at the same time, not nearly as much as I could be in terms of, you know, in this context of like breaking out of what I know. And so what kinds of advice would you give to someone like me who, to your point, like, if I do the deductive reasoning and I cover all the different known angles, you know, and I think about things from a risk averse lens, what advice would you give to someone like me to then find ways to turn on some of that inductive reasoning when I need it? Christopher S. Penn: You can generally teach inductive reasoning in a couple ways. The one of the things, and this is very important, what you just said, you said from that risk averse lens, that’s the first switch that has to flip is to say, okay, you can do exploration if you can cycle, give yourself a sense of psychological safety that you’re not taking a risk. Like going out and reading random stuff on Reddit and things or people you don’t Normally follow on LinkedIn is not a risk. It can feel like a risk because it can feel like distraction, it can feel like confusion, but it’s not a risk. And so, one of the things you have to find for yourself, I don’t know how to do it, is to say, okay, let’s create a sense of psychological safety that says it’s okay to go look under this, under the stone. You may not like what’s under there, but it’s not dangerous to you. And the second thing is those fringe edge cases where, and this is where, like, LinkedIn is a terrible place to spend time because everyone is stuck in the same bucket, right? We’re all talking about, oh, AI is going to do this. Sam Altman did this. And it’s the same theme over and over again. You have to leave that and go to the fringes, go other places. Reddit is a good place because there’s, it’s a different set of fringes. Talking to our friends and colleagues, right? Chatting with them in group texts and stuff is a great place to do that, where you start to hear very specific edge cases. You’re like, oh, we’ve never run into that before one of the things. So it was really interesting. I did a drawing for my newsletter for filling out a survey back in July. And the giveaway was a one hour. Ask me anything private. And the conversation I had with the person was an industry that we don’t work in at all, like heavy industrial marine stuff. And just. And I learned as much as I talked, like, oh, I didn’t know that was a thing. And those, all those weird little edge cases was like, that’s interesting. And so that might be a possible antidote too, is to say, like, you know what spend. Say, I’m going to spend an hour talking to this person over here. I. Who we’re probably not going to do business with them. We’re pro. I’m. I’m not there to drum up business. I’m there to say, what kind of weird stuff are you running into that maybe wouldn’t cross my desk. Katie Robbert: H. I hear you. I think, you know, I like the idea of, you know, doing more reading outside of what you’d normally read. I agree that LinkedIn is very homogenous, very bland. The challenge. And, you know, this could be again, my own personal bias and my, you know, I like the term that emotional safety. Because if I’m being honest, that’s a big part of it is it’s not that I don’t feel safe talking about things outside of what we’ve talked about. And perhaps this, you know, this is all just sort of like a, you know, a horse of a different color is that I get concerned that if we stray too far from what our audience wants to hear about, they won’t come back. And that’s, you know, that could be my own personal concern and anxiety about it. And maybe they’re like, no, give me something different. You know, there’s really only one way to find out and that’s to ask them. So if you want to pop over to our free Slack community analytics marketers and let us know. But to your point, you really. What I’m hearing you say is it’s breaking outside of those comfort zones, those routines, which admittedly is not something I am personally great at. I’m very introverted. But reading outside of what I normally read and interacting with people online is not so uncomfortable that I can’t do it. I just need to make more of an effort to do it because then it’s, you know, it’s making sure that we’re staying in touch with things outside of our own little bubble. It’s a big reason why we have the community that we have. So know a little bit of tongue in cheek like join our free Slack community but at the same time join our free Slack community because we need it just as much as the people who are joining need it. So that we’re not just locked into well this is what we’re doing. This is how we’ve always done it. So this is how it shall be. End of sentence. Like I think that by asking the question of the day it that’s partly to understand like what’s going on in your world, what are you dealing with, what are you, what’s your perspective? And I’m always not. A question goes by and we ask them every single day that I’m not like huh, that’s interesting or I never would have thought of it that way. And I think that’s such an important thing. But I never thought of that in this context. Chris of that inductive reasoning of trying to find that sort of like through line through different topics. Christopher S. Penn: I will show, I will share with you an interesting observation about our analytics from Market Slack group. There’s a, there’s a topical split by gender. When you look at the questions people ask, even that itself is interesting. You know the, the people who are male identifying tend to be asking very technical questions. Hey, I’m doing this with this agent framework and you know, what’s the best? And the people who identify as female typically asking about outcome based things like you know, what’s better for getting this done. I need to get, accomplish these things. And so one of the things because obviously, you know, equality in general is important to us, but gender equality is very important to us as a company. You might want us to do privately, quietly reach out to some of the individual women in our community to say like hey, I’d love to have a one hour private, ask many things, I just want to know what’s going on. Talk to the folks who are already reasonably talkative in the community and just see what’s happening at the edge cases of their Worlds. You have Dr. Leslie who spends a lot of time on psychology and research. You have Hannah, you have Minion who spends a lot of time on writing in AI. And that’s where you can be reasonably assured of a psychologically safe experience and still get some really cool edge cases. Katie Robbert: Yeah, I think if I’m being honest, I would probably start with Reddit forums or something like that just because that’s for me the path of least resistance and doesn’t take extra coordination and time to figure out how to, you know, book this conversation with someone. But again, that’s all, you know, minor details, but. In general, you know, so let’s say every week we sit down to record the podcast. And every week I know you’re going to ask me, hey, what do you want to talk about this week? I mean, that’s just how it goes, you know. And I appreciate that you give me the opportunity to propose a topic versus it just being, you know, led by whatever you’re reading that week, which often happens because I’m like, whatever, sometimes I have a topic. You know, tell me a little bit about your process for like you mentioned agriculture and some other industry that I’ve never heard of. And I’m guessing I haven’t had a chance to read your newsletter yet for full disclosure. No, I mean, and I do. It’s on my list for later today. Is it more that like you look at like a list of something, you go, I don’t know about that. That’s interesting. Let me learn more. Or is like does it sort of organically just come up because you’re like searching for something and it just sort of leads you down a rabbit hole? Like what does your process kind of look like? Christopher S. Penn: It’s both. It is both. This past week though was on idea transfer. So I ha. I shared some prompts, some basic prompts to look at four level naics codes which are like profession codes, oil and gas extraction for example. And I said to the soft to I was using deep seek for this. Go and find the professional academic conferences for each of these professions out of the 340 professions and then find the award winning papers from 2025 and 2026 for each conference if they had one, and end up with like 300 some odd papers that all won gold medals at their events. And so download those papers and then start extracting out what are the key lessons that we could transfer into marketing and marketing analytics, especially from these award winning papers. And some of them there wasn’t, you know, some of them it was like a position paper. But there were a lot of very technical research studies like oh, that’s really cool. Like how the European. I forget what the organization name is, but it’s the European Council of Weather Forecasting and their new neural ensembling system for better weather forecasts. I’m like, that’s clever. Instead of trying to fit a neural model on an overall forecast to fitting neural models on individual components of forecast because they can forecast better those specific components and then glue the forecast together instead of trying to ensemble the whole thing. It’s like, you know, instead of trying to. People screw this up a lot. Westerners tend to try and make fried rice all in one big wok and your home stove can’t get that hot. So you cook each set of ingredients individually and then you mix it all together. That’s this, essentially this version of ensembling. Don’t try to make fried rice all at once. Make each of the components, get them each right individually and then you can just literally mix it all together. Katie Robbert: Well, at least I know I’m making fried rice correctly. Thank goodness for that. I’m taking the win today. But that’s an example. So the topic was how would you make it a. A fully AI written newsletter with no human intervention whatsoever that would still be valuable. And so I had it to a test run and the example was that pairwise combinations for agriculture. I read the newsletter of IT generator. Like crap. This is a really good idea. Like I gotta go figure out how to do this. I was reading the results as I was recording my, the newsletter on video. I’m like, this is really smart. Like it should be. It won an award. But like I can totally see how this applies specifically to social media marketing. Christopher S. Penn: Interesting. Which comes back to you have to have expertise in something in order to be able to, you know, apply it. So you know, I know what I know about running a business. I know what I know about operations and process and all that. So it’d be interesting to see what I can find outside of the lanes that I know, you know, because it tends to feel like, well, process is process. There’s only one way to do process. And I’m assuming that’s just not true. And so I need to look at what that could mean. I have no idea. And I think this is where my risk averse brain starts to kick in. I’m like, well if you have no idea where you’re going, you don’t have the time to waste to just sort of start exploring. You have other things that you have to do to keep the business running. And I think that’s just sort of a time and resources but also a mind shift thing. Because yeah, I have to keep the business running. Do I have the luxury of time to just sort of do some exploration? I don’t know. I’m hoping to find some because I feel like that would make me a better leader if I could. Katie Robbert: And you’re like, yeah, you could be A better leader. Way to go. Christopher S. Penn: Everybody has the opportunity to better. You could, if you wanted to and you didn’t want to spend a ton of time on it directly, you could purchase. Well, you know, you don’t have to purchase it, but yeah, the new deep research suite from the Trust Insights Academy, which helps automate a lot of the research process. And where I would suggest that you start is in the epidemiology around opiates and stuff like that. Because you used to work in that field. You know it like the back of hand. But it’s been 20 years. Yeah. What’s, what’s happened? What papers have come out in that field in the last even five years that, where the math has changed, where AI has changed that field. And you can go, oh, I know how we used to do it and I know how AI does it now based on these award winning papers. Holy crap, things are different. And I can take this, what I know from back then and what is steady state now, current state now, and go. I can apply that learning of how AI has changed that field to what, running our business. Katie Robbert: Yeah, that’s interesting. That actually already gives me a couple of places to start because I think about a few of the clinical trials that were running and they were so manual because it just was, it was just manual. That’s how it was 20 years ago. And so like hand coding things and human raiders and all of that, which at the time was fine. We didn’t know any different because there wasn’t anything different. This morning we had a lead file of 150 leads that needed augmentation and I had an AI go in and label it all and it took under 20 minutes. And I ran it locally. It didn’t have to use the cloud at all for it. And so that’s today. Yeah. It reminds me of when I was trying to do lead gen for the sales team at that same organization and I stumbled across a publicly available database of substance abuse clinicians and it needed cleaning up and it needed like all this stuff and it was just a manual process and it took me a couple of weeks to do it before I could even hand it off to the sales team. And then those ungrateful jerks were like, what do you mean there’s not an email address? And I was like, you got a phone number? Pick up the phone. What do you want from me? But anyway, yeah, it is definitely interesting. So I think I don’t do that often enough. I really try to stay grounded in like what’s right in front of me. And I think that maybe looking in the past of like what I had done, what I have accomplished might help at least get some of this started. Christopher S. Penn: Exactly. There’s a lot of. There’s a lot that’s changed. But you having that previous subject matter of expertise means that it will be easier to dip your toes in that specific angle on that discipline rather than going to like agronomy where you’re like, I don’t even know what any of these words mean because like what is this? This yield, you know, yield per field thing. If you’ve got some thoughts about how you are approaching deductive and inductive reasoning concepts for content creation or ideation, pop on buyer free slack. Go to TrustInsights AI analytics for marketers where you and over 47100 other marketers are asking and answering each other’s questions every single day. And if there’s a channel you’d rather have this show on that instead, go to Trust Insights AI TI Podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable Insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing roi. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology and martech selection and implementation and high level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google, Gemini, Anthropic, Claude Dall E, Midjourney, Stable Diffusion and metalama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community sharing expertise through the Trust Insights blog, the In Ear Insights Podcast, the Inbox Insights newsletter, the so what Livestream webinars and keynote speaking. What distinguishes Trust Insights in their focus on delivering actionable insights, not just raw data, Trust Insights are adept at leveraging cutting edge generative AI techniques like large language models and diffusion models yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Data Storytelling this commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data driven. Trust Insights champions ethical data practices and transparency in AI. Sharing knowledge widely whether you’re a Fortune 500 company, a mid sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Your morning briefing. All the news you need to start your day.On today's podcast:(1) Nigel Farage is returning to Parliament after winning an election designed to turn the page on questions over his personal finances that saw the Reform UK leader go head-to-head against a satirical candidate dressed as a trash can.(2) The US government sold 30-year bonds at the highest interest rate in a quarter century, a testament to investors’ demand for greater compensation to finance the nation’s growing deficit.(3) UK Prime Minister Andy Burnham faces a dilemma over how to cut the cost of living while rebalancing business taxes toward larger companies. Hitting some bigger firms might cause them to pass prices onto consumers.(4) OpenAI is on track to generate annualized revenue of more than $40 billion based on its current performance, according to people familiar with the matter, roughly doubling its run rate from the end of 2025 and bolstering the company’s plans for a Wall Street debut.(5) Poland said its security services prevented the assassination of a US citizen originally from Ukraine that was ordered by Russian intelligence.(6) An unusually powerful El Niño is raising the odds that 2026 will surpass 2024 as the world’s hottest year on record, and regardless, 2027 is expected to set a new high, according to a monthly analysis of global weather data by Berkeley Earth, a nonprofit research group.(7) Heat wave warnings are still in place in much of Europe today, although the peak in temperatures has now passed in France and the UK. The more frequent extreme weather events are pushing forecasters into using new technologies.Podcast Conversation: Cats and Dogs Are Now Being Given Anti-Aging Drugs, PeptidesSee omnystudio.com/listener for privacy information.

Guest: Dr. Mike Farrar, Booz Allen HamiltonWeather forecasting has come a long way—from hand-drawn maps and limited observations to a world driven by supercomputers, satellites, and real-time data. But as technology continues to evolve, so does the challenge of making forecasts faster, smarter, and more useful for the people who rely on them every day. Today on Weather Geeks, we're joined by Dr. Mike Farrar, whose career has spanned research, operations, and leadership across the meteorological community. His company has been tasked to help modernize the National Weather Service, and with that he's helping shape what the future of forecasting could look like for both meteorologists and the public alike. We'll talk about the biggest challenges facing weather operations today, how emerging technologies like AI and cloud computing are changing the forecasting landscape, and why communication and public trust remain just as important as the science itself.Chapters00:00 Introduction and Career Background of Dr. Mike Farrar01:30 The Evolution of Weather Forecasting Technologies04:18 Transformational Advances in Meteorology09:15 The Private Sector and Meteorology's Growth12:16 Break 112:19 The Impact of AI and Cloud Computing19:28 Modernizing the National Weather Service22:55 The Role of Human Forecasters in the Age of AI26:51 Break 228:01 The North Star of Meteorology: Science and Service30:18 Skills for Future Meteorologists33:50 Embracing Change in the Meteorological Field34:29 Closing Remarks and Resources ResourcesBooz Allen Hamilton - https://www.boozallen.comNOAA's National Centers for Environmental Prediction - https://www.weather.gov/ncep/American Meteorological Society - https://www.ametsoc.orgAWIPS (Advanced Weather Information Processing System) - https://vlab.noaa.gov/web/nws-heritage/-/introducing-awipsNCAR (National Center for Atmospheric Research) - https://ncar.ucar.eduGuest linksLinkedIn - linkedin.com/in/mikefarrar-wxSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

* Fewer forecasters and inferior info: the National Weather Service has been hit with funding cuts. Is that making weather and hurricane forecasting more difficult? * Youth sports keep kids active, teach valuable lessons, and can offer opportunities later in life…but the costs have skyrocketed, jumping 46% since 2019. What are you seeing with your kids?

Warnings about hurricanes and tornadoes help save lives, but researchers are beginning to study how alerts about extremely hot and cold weather can make a difference, too. University of Arizona economics professor Derek Lemoine discusses the connection between better weather forecasts and mortality rates. Derek Lemoine spoke with University of Arizona astrophysics professor Erika Hamden.

Save Ocean Sensors: The Fight Over the Ocean Observatories Initiative A $386 million network of nearly 900 ocean sensors stretching across five sites from Oregon to Alaska to Greenland was being quietly dismantled, with no warning to Congress and no explanation to the public. In this episode, we trace the fight to save the Ocean Observatories Initiative: what this network actually does, why it matters far more than most people realize, and how a Democrat from Oregon and a Republican from Alaska teamed up to pass a bill stopping it in the span of a day and a half. We talk with Craig McLean, who spent more than 40 years at NOAA, including two stints as NOAA's Chief Scientist, about what's really at stake when ocean monitoring infrastructure disappears, and why this fight is part of a much bigger pattern. We also revisit a warning from a past guest, marine ecologist Dr. Andrew Thaler, that's looking less hypothetical by the day, and lay out exactly what you can do to help make sure this win sticks. In This Episode What the Ocean Observatories Initiative actually measures, and why it matters for your weather forecast, your insurance rates, and what farmers plant each season The Coastal Endurance Array off Oregon and Washington, and why pulling it out right as an El Nino forms is especially bad timing, per OSU oceanographer Jack Barth How Senators Jeff Merkley (D-OR) and Lisa Murkowski (R-AK) found out sensors were already being removed, and how they got the Saving the OOI Act passed unanimously in under two days Craig McLean's read on why this kept happening, from the role of the Office of Management and Budget to the broader pattern of cuts to federal science A look back at a warning from marine ecologist Dr. Andrew Thaler about Project 2025's plans for NOAA, and how that warning is playing out in real time What happens next: the NSF's review process, and how you can track it and find out where your own senators stand Featured Voices Craig McLean spent over 40 years at NOAA, where he founded the Ocean Exploration Program and served as NOAA's Chief Scientist, including being reinstated after being removed from the role for defending scientific integrity. He is now a senior fellow at the Ocean Foundation. Senator Jeff Merkley (D-OR) and Senator Lisa Murkowski (R-AK) led the bipartisan push for the Saving the OOI Act, featured here via Senate floor remarks. Dr. Andrew Thaler, marine ecologist and conservation technologist, returns in spirit from a past episode where he broke down Project 2025's plans to dismantle NOAA. Jack Barth, oceanography professor at Oregon State University, provided background on the Coastal Endurance Array via KATU News. The Bill The Saving the OOI Act passed the Senate unanimously, pausing NSF's decommissioning of the Ocean Observatories Initiative pending a full review with stakeholder input. It was led by Senators Merkley and Murkowski and cosponsored by Senators Dan Sullivan (R-AK), Maria Cantwell (D-WA), Ron Wyden (D-OR), Jack Reed (D-RI), Tammy Baldwin (D-WI), Sheldon Whitehouse (D-RI), Patty Murray (D-WA), Elizabeth Warren (D-MA), Edward J. Markey (D-MA), and Chris Van Hollen (D-MD). Resources & Links Saving the OOI Act, full text and cosponsor list: Congress.gov NSF Ocean Observatories Initiative updates: oceanobservatories.org Senator Merkley's press release on the Saving the OOI Act: merkley.senate.gov "Scientists warn Oregon could lose critical ocean data under federal cuts," KATU News Take Action If your senator is one of the twelve who championed or cosponsored the Saving the OOI Act, send them a thank you. If they didn't, let them know this issue matters to you. Watch for the NSF's Dear Colleague Letter and expert panel process, your chance to weigh in on what happens to OOI long-term.

Join us as we celebrate the 300th episode of Kite Podcast! Following on from Chris Walklands milk market update, Ben Eagle and Will Evans are joined by Torin Nicholson from Kite, James Bolesworth, Managing Director of CRM Agricommodities and podcast producer Becki Reay. With it being a record-breaking week for June heat here in the UK we are perhaps inevitably talking about the weather, as well as the wider impacts of climate patterns such as El Niño on UK and global agriculture, and what this means for crop development, feed supplies and forage potential. The group explore how crops and grass growth are progressing across the UK, the status of silage and grazing management, and the outlook for maize and forage stocks after last year's challenges. The conversation also looks beyond the UK to global growing conditions, including developments in the US, South America and China, and considers how international trade dynamics may affect UK farmers; throughout, the experts offer practical insight into how farmers can manage risk and maintain resilience if hot, dry conditions persist. Please note: The information provided during this podcast has been prepared for general informational purposes only and does not constitute advice. The information must not be relied upon for any purpose and no representation or warranty is given as to its accuracy, completeness or otherwise. Any reference to other organisations, businesses or products during the podcast are not endorsements or recommendations of Dairy Consulting Ltd or its affiliated companies. The views of the presenter are personal and may not be the views of Dairy Consulting Ltd. The contents of this podcast are the copyright of Dairy Consulting Ltd.

Today we are talking weather Forecasting and Passage Planning. These days we have all the info at our fingertips but sometimes that can lead to analysis paralysis! Help Support this podcast with the following links, Thanks for listening! Support this Podcast on Patreon: https://www.patreon.com/sailingintooblivionpodcast Help fund my next adventure here: https://gofund.me/6df0fb45 One Time Donations Via PayPal and Venmo: https://www.paypal.com/paypalme/JeromeRand https://account.venmo.com/u/sailingintooblivion Amazon Wishlist: https://www.amazon.com/hz/wishlist/ls/33F36RF315G8V?ref_=wl_share Children's Book: https://a.co/d/1q2Xkev Sailing Into Oblivion Children's Audio Book: Audible.com Sailing Shirts: https://www.bonfire.com/store/sailing-into-oblivion/ Books: https://a.co/d/eYaP10M Reach out to the Show: https://www.sailingintooblivion.com/podcasts Total Boat 5% discount code: https://www.totalboat.com/?sca_ref=9803393.xY85BaEnxZ   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

GUEST: Ken Graham, Director of NOAA National Weather ServiceNational Weather Service Director Ken Graham visited The Weather Channel for a wide-ranging conversation with Jim Cantore about the future of weather forecasting and public safety.They will discuss ongoing efforts to modernize the National Weather Service, the challenges of maintaining critical infrastructure, the latest developments in forecasting technology and AI, and what improvements may be on the horizon for everything from hurricane forecasts to severe weather prediction. They also talk about staffing, observations, and the tools that help forecasters turn data into decisions when lives are on the line.And as he marks four years as Director, Jim will ask Ken to reflect on the experiences that shaped his career, the accomplishments he's most proud of, and what he wants the public to better understand about the work happening behind the scenes every day.Chapters00:00 Introduction and Guest Credibility00:59 Ken Graham's Ten and Progress Overview02:24 Reflecting on Achievements and Vision03:45 Staffing Challenges and Hiring Boom05:19 Reorganizing for the Future07:01 Modernizing Infrastructure and Cloud Transition08:20 Partnering with Emergency Managers08:59 Radars: Aging Systems and Next-Gen Plans10:29 Private Sector Collaboration on Radars12:48 Innovations in Data Collection: Drones and Balloons13:42 NWS Chat and Communication Tools14:17 Break 114:31 Communicating Strong El Nino and Hurricane Risks15:47 Aircraft and Data for Better Forecasts16:38 Improvements in Track and Intensity Forecasts17:19 AI and Machine Learning in Weather Models18:36 Future of High-Resolution and Rapid Refresh Models20:17 Balancing Over-Preparation and Real-Time Response21:28 Next-Generation Modeling and Cloud Computing22:50 Break 222:50 Vision for Year 10: Fully Cloud-Based, Well-Staffed NWS24:26 Memories of Weather Disasters and Motivation25:37 The Drive to Save Lives and Limit Damage26:30 Engagement with the President and Policy Support27:35 Office Culture and Workforce Changes28:49 Challenges of Modernization and Change Management29:23 Supporting NWS Staff and Future OutlookSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of Skip the Queue, guest host Olly Reed from Navigate is joined by Rob Comley of Chester Zoo and Simon Townsend of the Eden Project to discuss the growing impact of weather forecasting apps on visitor attractions. They discuss how simple weather icons can influence consumer behaviour, with misleading rain forecasts causing significant drops in attendance even when poor weather never materialises. Rob shares the story behind Chester Zoo's campaign calling for improvements to how weather forecasts are displayed, a movement now supported by more than 100 attractions and businesses across the UK. They discuss changing visitor behaviour, the importance of value for money, the rise of last-minute booking habits, and the role weather perception plays in decision-making. The episode also looks ahead to the campaign's upcoming discussions with the Met Office and highlights exciting developments at Chester Zoo and the Eden Project. Topics Discussed The impact of weather app icons on visitor attraction attendance How weather perception influences consumer decision-making Chester Zoo's campaign for improved weather forecast presentation The economic impact of inaccurate weather perceptions on attractions Industry support from attractions, farm shops, events, and hospitality businesses Visitor behaviour changes and the rise of last-minute bookings The relationship between weather forecasts and value for money expectations Differences in how weather affects Chester Zoo and the Eden Project The role of the Met Office and discussions around forecast communication Alternative weather forecasting models used in Europe The importance of accurate communication rather than challenging weather science How attractions adapt to changing weather patterns and climate conditions Future plans for the weather forecast campaign New developments at Chester Zoo including Heart of Africa and The Reserve lodges The Eden Project's 25th anniversary celebrations and Eden Sessions Optimism for the future of the visitor attraction sector   Show references:    Guest Host: Olly Reed - Marketing Director of Navigate https://www.navigate.agency/ https://www.linkedin.com/company/navigate-agency https://www.linkedin.com/in/olly-reed/   Guests:  Simon Townsend of Eden Project http://www.edenproject.com https://www.linkedin.com/company/eden-project/ https://www.linkedin.com/in/simon-townsend-10137914/ Rob Comley - Senior Policy and Advocacy Manager at Chester Zoo http://www.chesterzoo.org https://www.linkedin.com/company/chester-zoo/ https://www.linkedin.com/in/robcomley/   Skip the Queue is brought to you by Merac. We provide attractions with the tools and expertise to create world-class digital interactions. Very simply, we're here to rehumanise commerce. Your guest host is Olly Reed. If you like what you hear, you can subscribe on Apple Podcasts, Spotify, and all the usual channels by searching Skip the Queue or visit our website SkiptheQueue.fm. If you've enjoyed this podcast, please leave us a five star review, it really helps others find us. And remember to follow us on LinkedIn. Credits: Written by Emily Burrows (Plaster) Edited by Steve Folland Produced by Emily Burrows and Sami Entwistle (Plaster) Download The Visitor Attractions Website Survey Report - https://www.merac.co.uk/download-the-visitor-attractions-survey We have launched our brand-new playbook: ‘The Retail Ready Guide to Going Beyond the Gift Shop' — your go-to resource for building a successful e-commerce strategy that connects with your audience and drives sustainable growth. Download your FREE copy here

On this week's Follower Friday edition of The Green Insider, we come to you from the METEOMATICS Energy & Weather Forecasting Summit in Houston, TX. Meteomatics hosted an in-person summit for energy professionals focused on how high-resolution weather intelligence is applied across power markets, forecasting, and operations. The event centers on how weather data materially impacts load, generation, and risk management, moving beyond theory to real-world decision-making. On today's Recap podcast, hear from: Eric Blake – Sr. Hurricane Specialist, National Hurricane Center (NOAA) Keith Cavey – Implementation Manager at Meteomatics Elliott Chron – VP of Customer at Amperon Jim Robinson – Director of Marketing at Meteomatics Become a Green Insider Be sure to subscribe to The Green Insider, powered by ERENEWABLE, wherever you get your podcasts—and don't forget to leave us a five‑star rating! To learn more about our guests or to inquire about sponsorship opportunities, please contact ERENEWABLE and The Green Insider Podcast. The post METEOMATICS Energy & Weather Forecasting Summit Recap on The Green Insider appeared first on eRENEWABLE.

Today, we have a portion of our Colorado SunFest weather panel conversation with local meteorologists Chris Bianchi, Mike Nelson and Joel Gratz as they talk about how technology has changed and how AI is quickly changing forecasting. Read more!See omnystudio.com/listener for privacy information.

The National Hurricane Center is making some changes to its hurricane forecasting. We explain those...and how having fewer weather balloons is making forecasting more difficult. Barry Keim, LSU Health climatologist, joins us.

Scientists are now forecasting hazards on timescales from decades ahead to literally minutes before impact. But how accurate can those forecasts really be and how do you prepare for events that are inherently uncertain?

Show Notes for Episode: When FINE Isn't FINE Introduction to Weather Discussion: Bobby and Wally kick off the episode by sharing their experiences with poor weather in Houston, Texas, highlighting how a seemingly "fine" day can quickly turn dangerous. They discuss the impact of weather on flight training and general aviation operations. Personal Stories of Weather Mishaps: Bobby recounts a flight where he underestimated clouds during a trip to Brenham, Texas, leading to a necessary turnaround. Wally shares his encounter with rime icing in the Saratoga and how it affected his flight decisions, stressing the importance of early recognition of risks. Historical Aviation Accidents: The hosts review key incidents, including Delta Flight 191 (microburst crash), Southern Airways Flight 242 (hail encounter), and Braniff Flight 352 (thunderstorm entry). These examples illustrate how poor weather planning can lead to tragic outcomes and underscore the evolution of weather information availability since the 1980s. Weather Tools and Resources: They recommend the Windy app for visualizing wind patterns and forecasts, originally designed for sailors. Other concepts covered include monitoring pressure changes, temperature-dew point spreads for predicting fog or clouds, and using ADS-B data for real-time weather updates. Subtle Signs and Decision-Making: Bobby and Wally discuss overlooked indicators like altimeter settings (low pressure signals bad weather), wind gradients, and temperature inversions. They advise pilots to check weather from broader areas and avoid locking into a single source like a METAR. Personal Minimums for Safer Flying: The episode emphasizes establishing and adhering to personal limits, such as wind speeds, icing altitudes, and fuel reserves. Wally suggests limits for new pilots, including wind restrictions, ceiling/visibility minimums, and landing with ample fuel. Advice for New Pilots: For those who just passed their private pilot checkride, the hosts recommend focusing on wind, ceilings/visibility, and fuel as core personal minimums. They encourage using tools like the FAA's lapse rate for cloud base calculations and always prioritizing safety over ego. Key Resources and Concepts Mentioned: Windy App: A free app for wind and weather visualization FAA Weather Resources: Including METARs, ATIS, and understanding lapse rates Personal Minimums: Custom rules for safer flying General Advice: Monitor pressure drops, temperature-dew point spreads, and always have a turn-back plan

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Today, Evan shares an interesting story about how speculative weather markets could be valuable to businesses that rely on weather forecasting to make decisions by crowdsourcing information about local weather patterns. Listen along to hear why the losers for speculative markets (a.k.a gambling) are always the traders and how these speculative markets don't appear out of nowhere, but are usually started by companies or industries that partner with trader platforms to get information from users. Later in the episode, Evan discusses some inventions from the last century that have revolutionized the world and how capitalism is the best source of invention and prosperity because it rewards people who take risks.     Want to cut through the myths about retirement income and learn evidence-based strategies backed by over a century of data? Download our free Retirement Income Guide now at paulwinkler.com/relax and take the stress out of planning your retirement.   This material is for general educational purposes only and is not personalized investment, financial, tax, or legal advice. Past performance does not guarantee future results. Nothing here is an offer, solicitation, or recommendation for any security or strategy. All financial decisions involve risk, and you should consult qualified professionals before acting on this information. Advisory services offered through Paul Winkler, Inc., an SEC-registered investment adviser.

John Dean is Co-Founder and CEO of WindBorne, a company building next-generation weather balloons and an AI-powered forecasting layer to improve global weather prediction. WindBorne's balloons can stay aloft for weeks — collecting critical atmospheric data across oceans and remote regions where traditional weather infrastructure doesn't reach. In this episode of Inevitable, Dean explains why weather forecasting has remained largely unchanged for decades and why better data—not just better models—is the key to improving weather predictions. Our conversation explores how WindBorne's balloon constellation captures atmospheric data at a global scale, how AI models like WeatherMesh translate that data into more accurate forecasts, and why extreme weather and infrastructure gaps are creating urgency for better systems. Dean also shares how the company makes money across data, forecasting, and insights—and his long-term vision of building “a planetary-scale nervous system.” In this episode, we cover:  (0:00) An overview of WindBorne (2:57) How weather forecasting actually works (4:36) Why traditional weather balloons haven't changed in decades (12:50) What WindBorne is: long-duration balloons, global data collection and a weather intelligence platform (14:14) What makes WindBorne different: better sensors, batteries, and communications (17:35) Atlas: WindBorne's global balloon constellation (18:17) How better weather data improves hurricane predictions (20:35) Airspace safety and the realities of flying balloons at scale (24:35) WindBorne's business model: data, forecasts, and insights (29:30) Why weather data matters for energy markets and grid reliability (32:09) The long-term vision: Building a “planetary-scale nervous system” (35:41) Why AI + physical infrastructure is a “net good” for society Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

In 1960, NASA launched the first weather satellite to determine if Earth could really be studied from space.

From greenwashing in advertisements to the altering of government websites, misinformation around climate change has become more rampant and pervasive than ever before. This episode focuses on strategies to preserve information integrity through the elevation of reliable and accessible climate data. Ryan Alexander, executive director of the Climate Data Collaborative at the Data Foundation, sat down with EESI to discuss the importance of standardized data for evidence-based climate action and policy.   Show notes: Climate & Environmental Data Day (Data Foundation event): https://datafoundation.org/events/view/climate-environmental-data-day  Tracking Down Data (briefing): https://www.eesi.org/briefings/view/042326data  Innovations in Weather Forecasting for a Changing Climate (briefing): https://www.eesi.org/briefings/view/021524weather  BREAKING: Broadcast News Is Falling Short on Climate Change Coverage (podcast): https://www.eesi.org/podcasts/view/6.7-breaking-broadcast-news-is-falling-short-on-climate-change-coverage  Empowering People Around the World with Stellar Satellite Data (podcast): https://www.eesi.org/podcasts/view/empowering-people-around-the-world-with-stellar-satellite-data Climate Change FAQ (fact sheet): https://www.eesi.org/papers/view/faq-climate-change

Guest: Lt. Col. Andrew GayForecasts don't just matter for farmers, travelers, or weekend plans — they can influence decisions that ripple across the globe. Few people know that better than Major Andrew Gay, who has served as a meteorologist in the U.S. Air Force, at the White House, and at the Pentagon. In those roles, weather wasn't simply data — it was mission-critical information that could impact safety, security, and strategy at the highest levels. Today, we'll hear how his career has bridged science and service, and what it takes to forecast when the stakes couldn't be higher.Chapters00:00 The Importance of Weather Forecasting02:51 Andrew Gay's Journey to Meteorology05:56 Career Path in the Air Force08:53 Supporting Military Operations11:44 Weather Forecasting at the White House12:30 Break 114:44 Current Role and Responsibilities17:55 Challenges in Weather Forecasting21:52 Emerging Technologies in Meteorology22:26 Break 225:06 Effective Science Communication29:50 Advice for Aspiring MeteorologistsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

'I was infuriated on your behalf,' says Chris Rongey as he welcomes AccuWeather's Kerry Schwindenhammer to the show with Amy. The three react to the comments from a St Louis County Councilman disparaging meteorologists.

Bob Zimmerman of Behind the Black highlights the shift toward private weather forecasting, featuring an Israeli startup launching satellite constellations to provide better meteorological data independent of government agencies.1932

It's a jam-packed episode as Tara returns after the storm to unpack what really happened on the roads, why forecasts missed so badly, and what colder winters mean going forward

Tara is back after the storm — and she's got stories. From getting stranded on sheets of ice

On Tuesday's show: Texas civil rights organizations have secured an emergency court order directing Harris County to operate two additional early voting days in the 18th Congressional District special election runoff following weather interruptions this week. We get details.Also this hour: The annual meeting of the American Meteorological Society is taking place this week in Houston. We discuss how the current political climate is affecting how meteorologists do their jobs these days and the ramifications for our region.Then, we consider some day trips to take across Greater Houston as a way of exploring new parts of the region and finding adventure and a mini escape.And on International Holocaust Remembrance Day, we revisit the story of Holocaust survivor Ruth Steinfeld and how she found forgiveness and the courage to tell her story.Watch

Welcome to your weekly UAS News Update. We have three stories for you this week the FAA is adding two new UAS test sites, NOAA is officially using drones for daily weather forecasting operations and SiFly and Taranis are teaming up to scale up aerial crop intelligence. Let's get to it.First up, the FAA has announced it's adding two new UAS Test Sites, which is a huge deal because it's the first time they've expanded the program in almost ten years. The new sites are in partnership with the Choctaw Nation of Oklahoma and the Indiana Economic Development Corporation. This brings the total number of federal test ranges up to nine, joining the existing sites in Alaska, North Dakota, New Mexico, Nevada, New York, Texas, and Virginia. If you aren't familiar, the whole point of these test sites is to create a space for real-world testing to collect the data needed to safely integrate drones into our national airspace.According to the FAA, this is all about advancing Beyond Visual Line of Sight, or BVLOS, operations, as well as things like cargo delivery and managing multiple drone operations at once. The Choctaw Nation site will focus on practical applications like delivery services, infrastructure inspection, and emergency response missions across tribal lands. Meanwhile, the Indiana site will concentrate more on industrial and commercial uses, like cargo logistics, energy infrastructure, and agricultural monitoring. This expansion allows the FAA to gather the data they need to finally build the safety cases and regulations for these advanced operations. Next up, weather drones are officially moving from testing into operational use for US weather forecasting. For decades, forecasters have had a major blind spot in the lower atmosphere, which is where a lot of disruptive weather forms. Now, the National Oceanic and Atmospheric Administration, or NOAA, is partnering with a company called Meteomatics to fill that data gap.Meteomatics' autonomous "Meteodrones" will be flying vertical profiles through the atmosphere to measure temperature, humidity, and wind. This data will be fed directly into the National Weather Service's daily forecasting operations. This is a big step up from a research program that started back in 2024 in North Dakota. Now, it's not just research; it's part of the daily toolkit for forecasters. An initial pilot program is already running in Oklahoma through April of 2026, with drones being managed from a remote "Meteobase." Better data at these critical altitudes means more accurate forecasts and more timely warnings.And in our final story this week, two companies are partnering to tackle one of the biggest challenges in agricultural drone use: scale. SiFly, a U.S.-based manufacturer of long-endurance VTOL drones, and Taranis, a leader in AI-powered crop intelligence, have launched a joint Field Validation Program. The goal is to prove out a new operational model for collecting crop data over massive areas. The star of the show here is SiFly's Q12 drone, with a three hour flight time. This improves the efficiency of data collection and makes the data itself more consistent. The flight time introduces a problem though, data management, which is where the Taranis comes in, processing the data in real time. The program will run during the 2026 growing season to validate how this combination of long-endurance flight and AI analysis can make aerial intelligence more scalable and affordable for farmers and agronomists.That's it for this week, we'll see you on Monday for Post Flight, our show where we share our opinions that aren't always suitable for YouTube and for the live! https://www.prnewswire.com/news-releases/sifly-and-taranis-launch-field-validation-program-to-accelerate-aerial-crop-intelligence-at-scale-302666560.htmlhttps://dronelife.com/2026/01/14/faa-adds-two-new-uas-test-sites-to-advance-drone-integration/https://dronedj.com/2026/01/16/meteomatics-meteodrones-noaa-weather-drone/

Everyone's asking about the storm — so here it is: an honest, no-hype weather breakdown.

From Trump's blistering Davos speech to an EU emergency meeting, the global order is shifting fast

Weather forecasting drives billions of economic decisions — from grid operations to evacuation planning. Better forecasting could improve supply chain planning, disaster warnings, and renewable integration. The industry has decades of satellite observations and ground measurements, making it ripe for AI-driven advancements. And it's already happening. But how exactly does AI get used in weather forecasting, and how does it actually lead to improvements? In this episode, Shayle talks to Peter Battaglia, senior director of research at Google DeepMind's sustainability program, which launched a new AI-powered weather forecasting model in November 2025. They cover topics like: Why precipitation is so much harder to predict than temperature  How the weather industry works, with governments creating global models and private companies refining them for specific use cases What AI models can see that traditional supercomputer simulations can't Novel sources of data like cell phones, door bells, and social media Resources: Latitude Media: Where are we on using AI to predict the weather?   Latitude Media: Could AI-fueled weather forecasts boost renewable energy production?   Catalyst: Specialized AI brains for physical industry   Credits: Hosted by Shayle Kann. Produced and edited by Daniel Woldorff. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor.  Catalyst is brought to you by Uplight. Uplight activates energy customers and their connected devices to generate, shift, and save energy—improving grid resilience and energy affordability while accelerating decarbonization. Learn how Uplight is helping utilities unlock flexible load at scale at uplight.com. Catalyst is brought to you by Antenna Group, the public relations and strategic marketing agency of choice for climate, energy, and infrastructure leaders. If you're a startup, investor, or global corporation that's looking to tell your climate story, demonstrate your impact, or accelerate your growth, Antenna Group's team of industry insiders is ready to help. Learn more at antennagroup.com.

Guest: Dr. Neil JacobsEvery forecast, every watch or warning, every piece of storm research in America… starts at the National Oceanic and Atmospheric Administration.And there's a new leader in charge: Neil Jacobs.Over the past year, as he waited for Congress to confirm his nomination, NOAA saw cuts to staffing, research and observations.All while the infrastructure that predicts our weather keeps right on aging.The Weather Channel's Jim Cantore sat down with Neil Jacobs, for an exclusive interview- his first as head of NOAA.Chapters00:00 Introduction to NOAA and Leadership Changes02:55 Priorities in Weather Forecasting06:00 Advancements in Forecasting Technology08:50 The Role of AI in Weather Prediction12:03 Challenges in Weather Data Collection15:00 Improving Public Awareness and Response18:09 The Future of Weather Forecasting21:01 Navigating Controversies and Public Trust23:57 Looking Ahead: The Next Five Years26:50 Conclusion and Call to ActionSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

If you've been feeling the call to be around others who get it — this is your chance.Not just daily prompts or prerecorded content — the Circle is INTERACTIVE, alive, real-time, and built on true human connection.

Today, in partnership with UK Research and Innovation, we are asking whether it will snow on the 25th of December. It's frequently called a white Christmas and - at this time of year - weather forecasters and the bookies are busy weighing up the odds. So we've set out to explore how weather predictions are made, what constitutes snow, the role of technology in making forecasts, and whether parts of the UK will witness a white Christmas for 2025... Like this podcast? Please help us by supporting the Naked Scientists

RECORDED JANUARY 22, 2025; Originally released FEBRUARY 12, 2025Guests: Dr. Ilan Price, Senior Research Scientist, & Matt Willson, Research EngineerFrom the Euro to the GFS to the Canadian, there are multitudes of models that forecasters use to predict our daily weather. There are models for short-term severe forecasting, 10-day outlooks from your local news, and even models that predict our climate years into the future. As technology advances, so do all of these models and the technology we are focusing on today on Weather Geeks is AI. While it may seem like a buzzword these days, it can be used to enhance our industry and help us all reach our common goal: saving lives and property. We are thrilled to welcome Dr. Ilan Price to discuss GenCast, Google's weather forecasting model that is entirely powered by AI. How does it stack up to the models we know and love? The answer may surprise you…Chapters00:00 Introduction to AI in Weather Forecasting02:10 Meet the Experts: Ilan Price and Matthew Wilson06:34 Understanding GenCast: The AI Weather Model10:47 Machine Learning vs Traditional Forecasting13:22 Data Sources and Ethical Considerations15:10 Handling Extreme Weather Events21:15 Validation and Verification of GenCast23:26 Impact of GenCast on Weather ForecastingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Weather is more than just forecasting; it affects everyday life from your mood to the market. Listen in as Rohit Agarwal, CEO of The Weather Company, explores how AI, decision forecasting and weather intelligence are used to empower decisions across industries.

WeatherNext 2 can generate information around eight times faster than the previous version. Learn more about your ad choices. Visit podcastchoices.com/adchoices

-If you're experiencing internet issues this morning, you're far from alone. Infrastructure company Cloudflare has been hit with what it calls "widespread 500 errors, with Dashboard and API also failing." The company said that services are starting to recover, but customers may continue to see "higher-than-normal errors rates" as it continues to work on the problem. As of 8:13 am, the company said that "the issue has been identified and a fix is being implemented." The company added that "we have made changes that have allowed Cloudflare Access and WARP to recover. Error levels for Access and WARP users have returned to pre-incident rates." -Tesla has secured a ruling to strip a 2017 lawsuit claiming a racist work environment of its class-action status, as reported by Reuters. The lawsuit could not proceed with class-action status because the plaintiffs' attorneys had failed to find 200 class members willing to testify. -Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global weather predictions." Learn more about your ad choices. Visit podcastchoices.com/adchoices

Guest: Dr. Josh KastmanWhen you think about Amazon, you probably picture two-day shipping, Prime Video, or that familiar brown package on your doorstep. But behind the scenes, the company has to navigate one force that doesn't follow a schedule: the weather. From hurricanes threatening delivery routes to heat waves impacting worker safety, weather impacts nearly every aspect of Amazon's operations. And at the center of it all is Dr. Josh Kastman, Amazon's Chief Meteorologist. Today, we'll explore how one of the world's biggest companies forecasts, prepares for, and adapts to the atmosphere's every move.Chapters00:00 The Role of Weather in Amazon's Operations02:56 Josh Kastman's Journey to Meteorology05:52 A Day in the Life of Amazon's Chief Meteorologist09:03 Safety First: Preparing for Severe Weather12:03 Communicating Weather Risks Effectively14:21 Break 114:53 Forecasting Tools and AI in Meteorology18:08 Community Engagement and Disaster Relief21:02 The Importance of Communication in Forecasting22:41 Break 222:42 Lessons from the Private Sector27:07 Global Weather Challenges and Solutions29:55 The Excitement of Meteorology in the Private Sector32:57 Advice for Future MeteorologistsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Weather in the tropics is decidedly different than it is in the middle latitudes. It turns out, so are the weather systems – the factors that create things like the daily temperature and humidity! Historically, most weather forecasting models have been based on data from high-income countries in the northern hemisphere. But different factors drive weather and climate near the equator – meaning that these weather forecast models are much less accurate at predicting weather in the tropics. This has implications for storm readiness, flooding preparedness and more. Atmospheric scientist Ángel F. Adames-Corraliza is aiming to change that. His research focuses on how water vapor – humidity – plays a key role in tropical weather systems. It's earned him a spot as one of this year's Macarthur Fellows. Interested in more science about how weather happens? Email us your question at shortwave@npr.org.Listen to every episode of Short Wave sponsor-free and support our work at NPR by signing up for Short Wave+ at plus.npr.org/shortwave.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

It's raining, it's pouring, what vital business intelligence are you ignoring? The next explosive area of business opportunity and risk may well be weather forecasting.  The opportunity will accrue to those owners and entrepreneurs who understand that a new era of meteorology has dawned and view weather forecasting as an inextricable form of business intelligence. The risk is that myopic executives may cling to the mistaken notion that weather forecasts — “notoriously inaccurate” — are only about what to wear, how the morning commute might be impacted, and if they should bring along an umbrella when the go outside. In his new book, Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather Forecasting, veteran journalist Thomas E. “Tom” Weber debunks two prevalent myths: 1.) That weather forecasts are frequently way off, and 2.) That the weather doesn't have an impact on almost every company, directly or indirectly. Tom is the former executive editor at TIME who oversaw the magazine's cover stories and feature journalism. Earlier in his career, he served as a technology reporter, columnist, and bureau chief at The Wall Street Journal. Powered by artificial intelligence, machine learning, and the internet of things, weather forecasting — even micro forecasts confined to small geographic areas — has become vastly more accurate. Importantly, better forecasting saves lives by correctly predicting threatening hurricanes, tornadoes, wildfires, and floods well in advance and preventing catastrophic damage to vital infrastructure. Savvy companies — big and small — are already investing in weather intelligence, and the imperative for those who have yet to get on board will only grow in the years ahead. [Be sure to visit Tom Weber's website here.] Monday Morning Radio is hosted by the father-son duo of Dean and Maxwell Rotbart. Photo: Thomas E. Weber, Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather ForecastingPosted: October 6,, 2025 Monday Morning Run Time: 1 hour and 3 minutes Episode: 14.18 POPULAR EPISODES: Bulk Up Your Business Muscles with These Proven Retail Strategies Discover the Unlimited Power of Mastering Intentions: How You Can Transform Your Professional and Personal Life Marcy Syms Shares the Legacy and Lessons of Her Family's Pioneering Fashion Chain

Guest: Rep. Eric Sorensen, IL-17When severe weather strikes, the National Weather Service is on the front lines saving lives, but what happens when those front lines are short-staffed as storms get stronger? As a former broadcast meteorologist turned Congressman, Representative Eric Sorensen knows firsthand how critical timely, accurate forecasts are for every community. That's why he's helping lead a bipartisan push in Congress to fully staff the National Weather Service, reclassify meteorologists as critical to public safety, and ensure that rural and underserved communities aren't left behind when minutes matter most. Today on Weather Geeks, we're talking with Rep. Sorensen about why a fully staffed and supported NWS is essential for our country's safety, and how weather policy can—and should—transcend politics in the face of a changing climate. Let's get into it…Chapters00:00 The Importance of a Fully Staffed National Weather Service03:08 Congressman Eric Sorensen's Journey and Achievements06:07 Flood Mitigation and Climate Change Challenges08:53 Bipartisan Efforts for Weather Workforce Improvement11:53 The Role of Meteorologists in Public Safety15:10 Addressing Staffing Shortages in the National Weather Service17:56 Proposals for Weather Safety and Research20:51 The Need for an NTSB for Weather23:54 The Future of Weather Forecasting and Public SafetySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Water, wind, sunlight — the driving forces behind renewable energy. The better we can predict them, the more we can accelerate progress and reduce risk.  Weather forecasting is undergoing a quantum leap, powered by breakthroughs in satellites, drones, and artificial intelligence. Once the exclusive domain of national weather services, the industry is now being transformed by a new wave of tech-driven startups. And the market is booming.  In this episode, Laurent and Gerard welcome Dr. Martin J. Fengler, a German mathematician and the founder and CEO of Meteomatics AG. Based in Switzerland, Meteomatics is a cutting-edge weather technology company with over 130 employees and a client base of 600 — including high-profile names like NASA, Lockheed Martin, Toyota, Tesla, and numerous utility companies. About 25% of its clients are in the energy sector.  Meteomatics stands out not only for its AI-driven weather models but also for its proprietary fleet of weather drones, capable of flying up to 6 kilometres high, delivering ultra-precise atmospheric data. The company has raised over $35 million in venture capital to date.  In our conversation, we explore the future of weather tech, its role in tackling climate change, the growing risks of extreme weather, surprising use cases — and yes, even wind theft.  Heads up: This one's for the geeks.And at the end, Laurent sings for Lisa

Guest: Ignacio Gallego-Marcos, Founder of TurbliIf you have ever flown, odds are that you have experienced turbulence. Whether it was minor, or severe enough to make you never want to fly again, turbulence is part of everyday aviation. Our next guest has spent the past several years working on modeling to forecast WHERE and WHEN turbulence might be the worst. Ignacio Gallego-Marcos is using his engineering background to simulate turbulence, and in the summer of 2020 launched Turbli.Chapters00:00 Introduction to turbulence and Turbli03:04 Ignacio's Journey: From Engineering to Aviation05:58 Understanding Turbulence: Causes and Types08:50 Modeling Turbulence: Techniques and Challenges11:58 Addressing Fear of Flying: Insights and Solutions14:48 Turbulence Patterns: Locations and Routes17:55 The Future of Turbulence Forecasting20:50 Business Model of Turbli: Revenue and Accessibility23:42 Climate Change and Turbulence: Trends and Predictions26:52 Final Thoughts and Resources for Fearful FlyersSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Guest: Tom WeberWhen we talk about weather forecasting, we often picture meteorologists at a green screen or storm chasers racing toward a supercell. But behind every forecast is a global network of scientists, technologists, and communicators working on the front lines of climate and extreme weather. In his book Cloud Warriors, journalist Tom Weber introduces us to the pioneers transforming how we understand and respond to the atmosphere. From data-gathering drones and AI-powered models, to humanitarian efforts in the face of heat waves and famine, Weber's reporting highlights the people pushing weather science into the future while trying to protect the most vulnerable among us.Chapters00:00 Introduction to Cloud Warriors and Weather Enterprise01:42 Tom Weber's Journey to Becoming a Weather Geek07:03 The Importance of the Weather Enterprise15:52 Storm Chasing and Research in Meteorology16:19 Understanding the Weather Enterprise20:17 The Balance of Government, Academia, and Private Sector23:18 Experiences in Storm Chasing with NSSL30:46 The Role of Technology in Weather Communication35:00 Understanding Weather Forecasting and Human Behavior38:51 The Role of Technology in Weather Communication44:46 Advancements in Weather Modeling and AI54:52 The Importance of Weather Literacy and Public AwarenessSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

There's political storm warnings out. Are they forecasting disaster or a just a tempest in a teapot? Then we talk real weather with Thomas E. Weber and his new book Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather Forecasting. Then we chase happiness in the parting shot.

Guest: Dr. Barb Mayes BousteadWhen we talk about climate change, the conversation is often full of data, models, and projections, but sometimes, the most powerful insights come from stories. Long before satellites and Doppler radar, Laura Ingalls Wilder was documenting the weather in her own way: through her vivid accounts of prairie blizzards, scorching droughts, and the struggle to survive it all. In a brand new book connecting Wilder's writings to the realities of climate change, author Dr. Barb Boustead shows us that the past doesn't just inform the present—it can shape how we care for the future. Today on Weather Geeks, we're talking about the intersection of literature, climate memory, and what we choose to protect when nature pushes back.Chapters00:00 The Power of Stories in Climate Change11:58 Resilience in the Face of Unpredictable Weather23:34 Lessons from Laura Ingalls Wilder's Experiences35:19 Connecting Literature and Climate PreparednessSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hi. On today's episode, Katy, Cody, and Jonathan react to the deadly floods in Texas, the Trump administration's slashing of the NOAA and National Weather Service, and scientists' warnings for the future if funding is not restored. They also discuss Elon Musk's new political party, Grok's updates, and the Epstein client list.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Everyone is bound to make a typo in an email. What's interesting though is the reader will often see that typo and alter the way they interpret your message – sometimes in a good way, sometimes in a bad way. Listen to discover how this works. https://www.businessinsider.com/typos-in-emails-2015-5 The science of weather forecasting has come a long way in the last few decades. Interestingly, forecasters are not only improving their accuracy but also how they communicate the information to you and me. With more and more extreme weather (hurricanes, floods, tornadoes, high winds/fires etc.), this becomes more important for everyone. Here to explain how and why is Thomas Weber, former executive editor of TIME who has taught journalism and publishing at Columbia University, New York University and Princeton. He is author of the book Cloud Warriors: Deadly Storms, Climate Chaos―and the Pioneers Creating a Revolution in Weather Forecasting (https://amzn.to/4edBLsY). While we are all human, there are interesting differences between us. Some of those differences, such as height, weight, skin color, even the size of your spleen, are dictated by where you live and where your ancestors came from. Listen as I discuss these amazing ways the human body adapts to its environment with Herman Pontzer. He is a professor of evolutionary anthropology and global health at Duke University whose work has been reported in the New York Times, the BBC, The Washington Post, The Atlantic, and Scientific American. He is author of the book Adaptable: How Your Unique Body Really Works and Why Our Biology Unites Us (https://amzn.to/4nucZsX). If you are keeping a secret right now (even if it is a good secret), it could be a bigger burden on you than you imagine. Listen as I explain why and offer a suggestion on what to do with that secret. https://now.tufts.edu/2012/06/12/how-burdensome-are-secrets Learn more about your ad choices. Visit megaphone.fm/adchoices

The National Weather Service has been around for more than 150 years – their mission is explicitly to provide forecasts and warnings to protect lives and property. Experts warn that its hollowing out could have long-lasting implications.

Emergency response experts say that funding and staff cuts at the National Weather Service could mean less reliable weather forecast. And, babies like music, but they generally have preferences. A music therapist reveals the best kinds of music to soothe a baby.Forecasting Cuts Leave Some Worried For Hurricane SeasonMany in Georgia are still recovering from the devastation of Hurricane Helene last fall.Now, firings and funding cuts at the National Weather Service and other agencies have some experts worried about accurate forecasts heading into the next hurricane season, which begins June 1.Hundreds of workers have been fired from the National Oceanic and Atmospheric Administration, or NOAA, including meteorologists at the Weather Service. More cuts by the Trump administration are reportedly on the way.“The forecast is not going to be as accurate because it won't have as much information in it,” said Chuck Watson of ENKI research in Savannah, who studies disaster preparedness and response.Read the whole story at sciencefriday.com.Tips For Soothing Your Baby With Music, From A Music TherapistIf you're a parent, you've probably heard that playing music is good for your baby's brain development. But that's where many people's knowledge about the subject ends. What about music is good for a baby's development? Will queuing up a lullaby playlist get the job done? And how can you tell if it's all just too much for them?Sarah Nolan, a board-certified music therapist and neonatal intensive care unit music therapist in Children's Hospital Los Angeles' Mark Taper and Johnny Mercer Artists Program recently published recommendations on the best ways to play music around your baby.Host Ira Flatow talks to Nolan about the ideal length of time to play music, what kinds of music are best, and the benefits of music therapy to babies and adults alike.Transcripts for each segment will be available after the show airs on sciencefriday.com.  Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.