Podcasts about weather prediction

Guest: Ryan Hall When severe weather is on the horizon, many people turn to their local meteorologist—but millions are heading to YouTube to get the latest from Ryan Hall, Y'all. With his signature down-to-earth style and real-time, no-nonsense weather coverage, Ryan has built one of the most popular and trusted weather communities online. But what's it really like to cover major weather events on social media's biggest stage? How does he balance entertainment with accuracy? And where does he see weather communication heading next? Today on Weather Geeks, we're pulling back the curtain with Ryan Hall himself. From storm-chasing stories to the power of digital weather, we're diving into how one YouTuber is changing the way we watch the skies.Chapters00:00 Introduction to Ryan Hall, Y'all02:57 Ryan's Journey into Weather06:07 The Rise of Ryan Hall, Y'all08:49 Transitioning from Traditional Media to Digital11:15 The Evolution of Weather Communication14:37 Building a Community and the Y'all Squad17:12 The Role of Teamwork in Content Creation20:27 Navigating Severe Weather Coverage23:26 Addressing Misinformation in Weather Reporting26:25 The Impact of AI on Weather Communication29:26 Advice for Aspiring Weather YouTubersSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Weather is one of the biggest question marks for farmers in the growing season, often wondering if there is going to be a drought or if their crop is going to get drowned out. Alex Harrington, the Chief Meteorologist at Channel 3, says he believes we can expect a wetter than average spring. He also gives a look at the severe weather outlook and how hurricanes in the gulf can impact the midwestern weather.See omnystudio.com/listener for privacy information.

WRAL meteorologist Grant Skinner breaks down the ingredients of the top predictive weather models — the American model and the European model — and explains why they sometimes contradict one another and how WRAL meteorologists use the data, as well as their own insight, to refine forecasts. He also describes the future of weather forecasting as artificial intelligence plays a greater role.

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On This Tuesday episode of the Black Tech Building Show. I'm going to be discussing the history of MN Tech and show a demo of the new Weather Prediction System pt.1

We talk to Shawn Dahl about the complexities of space weather, solar radiation and geomagnetic storms, and the importance of global collaboration.Episode transcript Hosted by Emma Collins and Kelly SavoieEdited by Johnny LeTheme music composed and performed by Steve Savoie Visit AMS Career Resources on the web! Contact us at skypodcast@ametsoc.org with any feedback or if you'd like to become a future guest. Copyright © 2025 American Meteorological Society

„Und jetzt zum Wetter“ – jede Nachrichtensendung, ob in Radio oder Fernsehen, endet mit der Wettervorhersage für die kommenden Tage. Wetterberichte in Tageszeitungen gibt es sogar schon seit mehr als 100 Jahren. Und das Wetter ist durch die Geschichte hinweg alltägliches Gesprächsthema der Menschen. Doch der Blick in den Himmel, die Bedeutung der Wolken, der Einfluss von Temperatur, Luftfeuchtigkeit und Wind und was sie für die Wetterprognose bedeuten, war Jahrtausende lang ein Rätsel. Lange bevor es systematische Wetteraufzeichnungen und Supercomputer gab, verließen sich die Menschen notgedrungen auf ihre Alltagsbeobachtungen. Überlieferte Bauernregeln gaben den Menschen Orientierung. Doch ob der Spruch „Abendrot, gut Wetterbot“ tatsächlich zutraf, war mehr oder weniger Zufall. Erst mit der Aufklärung im 17. und 18. Jahrhundert fingen Wissenschaftler an, Wetterphänomene auch physikalisch präzise zu erfassen und leiteten daraus erste Wetterberichte ab. Ein Podcast über Wetterorakel und Bauernregeln, den ersten Wetterbericht im Fernsehen und die Frage: Wie präzise sind Wettervorhersagen heute? Gesprächspartner*innen: Nadin Burkhardt Peter Düben Cornelia Lüdecke Gisberg Strotdrees Özden Terli Literatur Bächtold-Stäubli, Hanns; Hoffmann-Krayer, Eduard (1927): Handwörterbuch Des Deutschen Aberglaubens (Bd. 1). Blöcker, Monica (2018): Volkszorn im frühen Mittelalter. Eine thematisch begrenzte Studie. Deutscher Wetterdienst DWD (2021): Messen-Berechnen-Interpretieren - Wie entsteht eine Wettervorhersage? Burkhardt, Nadin (2014): Bestattungssitten zwischen Tradition und Modifikation. Kulturelle Austauschprozesse in den griechischen Kolonien in Unteritalien und Sizilien vom 8. bis zum 5. Jh. v. Chr.. Gessner, Conrad; Froschauer, Christoph; Forer, Conrad (1583): Thierbuch. Das ist ein kurtze beschreybung aller vierfüssigen Thieren/ so auff der erden vn[d] in wassern wonend/ sampt jrer waren conterfactur: alles zů nutz vn[d] gůtem allen liebhabern der künsten/ Artzeten/ Maleren/ Bildschnitzern/ Weydleüten vnd Köchen/ gestelt — Getruckt zů Zürych. Hegmann, Valentin (1834): Allgemeine Witterungskunde. Ein tägliches Taschenbuch für Jedermann: besonders für Reisende, Forstbeamte, Landwirthe, Jagd- u. Gartenfreunde. Lüdecke, Cornelia (2021): Germans in the Antarctic. Lüdecke, Cornelia (2012): The Third Reich in Antarctica: The German Antarctic Expedition 1938-39 Malberg, Horst (1993): Bauernregeln. Aus meteorologischer Sicht. Mathieu Ossendrijver (2021): Weather Prediction in Babylonia, in: Journal of Ancient Near Eastern History, S. 223-258. Richter, Linda (2019): Semiotik, Physik, Organik. Eine Geschichte des Wissens vom Wetter (1750–1850). Strotdrees, Gisberg (1991): Höfe, Bauern, Hungerjahre. Aus der Geschichte der westfälischen Landwirtschaft 1890–1950. Terli, Özden et al. (2024): Moment der Entscheidung: Wie wir mit Lehren aus der Erdgeschichte die Klimakrise überleben können. Titus Petronius Arbiter: Petronius Niger, 44; Tert. apol. 40; de ieiunio 16, 5. Internetquellen https://www.bbc.com/news/magazine-25665340 https://www.bbc.com/historyofthebbc/research/television-weather https://www.ku.de/news/extremwetter-in-der-antike-zwischen-goetterglaube-wissenschaft-und-praevention https://www.dwd.de/DE/wetter/thema_des_tages/2023/10/9.html https://www.dwd.de/DE/presse/kinder_sunny/kinder_sunny_node.html https://www.cambridge.org/core/journals/cambridge-archaeological-journal/article/an-upper-palaeolithic-protowriting-system-and-phenological-calendar/6F2AD8A705888F2226FE857840B4FE19 https://www.gottwein.de/Grie/hes/ergde.php https://archive.org/details/aristoteles-acerca-del-cielo-meteorologicos/page/n1/mode/2up https://uni-koeln.de/universitaet/aktuell/koelner-universitaetsmagazin/unimag-einzelansicht/woher-hat-die-meteorologie-ihren-namen https://scaife.perseus.org/library/urn:cts:greekLit:tlg0093.ogl002/

Climate scientist Jagadish Shukla grew up in a small village in rural India, where people starved if the monsoon season didn't bring rain. To help his village, he set out to become a scientist and discover a way to predict the seasons—an unthinkable idea at the time, in the 1960s and ‘70s. Shukla became a pioneer in modern weather forecasting, and he tells his unlikely story in his new memoir, A Billion Butterflies: A Life in Climate and Chaos Theory. He talks with Host Flora Lichtman about his journey to becoming a leading climate scientist, the state of weather forecasting today, and why forecasting is more important than ever in the face of climate change.Guest:Dr. Jagadish Shukla, author of A Billion Butterflies: A Life in Climate and Chaos Theory and climate scientist at George Mason UniversityTranscripts 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.

Guest: Dr. Al Gasiewski, Chief Scientist at Weather StreamFrom hurricanes to heat waves, accurate weather forecasting relies on one crucial factor: data. But much of our atmospheric data comes from outdated or sparse observation networks, leaving gaps in our understanding of rapidly changing weather patterns. Enter microsatellites—small but powerful spacecraft revolutionizing how we monitor the atmosphere in real time. Today on Weather Geeks, we're diving into the world of orbital micro systems with Dr. Al Gasiewski, a leading expert in satellite-based meteorology and the founder of Weather Stream. His work is changing the game by using microsatellites to provide faster, more detailed, and more frequent weather observations than ever before.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Longtime WGN-TV weather producer, storm guru, and meteorological master Bill Snyder checks in with Lisa Dent to talk about Tom Skilling’s activities in his retirement and gives us the weekly forecast. Then Snyder talks about Demetrius Ivory’s incredible weather prediction.

Guest: Dr. Sean Waugh, National Severe Storms Laboratory research scientistAs we've seen in the movies, and real life, tornadoes are some of the most destructive forces in nature, capable of leveling homes and damaging entire communities in a matter of minutes. And what about hail? It causes BILLIONS and billions of dollars in damage in the US every year. But how do we get up-close, real-time data on these violent storms in order to learn what is needed for better predictions? That's where cutting-edge field research comes in. Today on Weather Geeks, we're diving into the world of storm observation and mobile weather technology with Sean Waugh from NOAA's National Severe Storms Laboratory. From deploying instrumented drones and mobile mesonets to braving the extreme environments of tornadoes and hailstorms, his work is helping scientists better understand the atmospheric conditions that drive severe weather for years to come…Chapters00:00 The Destructive Power of Tornadoes and Hail02:58 Sean Wu: A Journey into Meteorology05:57 Innovative HAIL Camera Technology08:47 Chasing Hail: The Challenges and Safety Measures11:59 Observing Hail: The Role of High-Speed Cameras14:46 Mobile Mesonets: Gathering Atmospheric Data17:59 Machine Learning and AI in Weather Prediction21:02 AI in Meteorology: Enhancing Forecasting Accuracy24:23 Hands-On Learning: Training the Next Generation of Meteorologists26:00 Tornado Research: Understanding Formation and Behavior28:05 Behind the Scenes of Twisters: A Meteorologist's Role32:20 Authenticity in Film: The Science of Twisters36:41 Passion in Meteorology: Inspiring Future GenerationsSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How much do we truly depend on weather forecasting? Whether it's planning our daily commute, scheduling outdoor events, or making critical decisions for agriculture and disaster preparedness, we rely on meteorologists and weather models more than we realize. But how accurate are these predictions, and what happens when they go wrong?   In this episode, we dive into the fascinating world of weather forecasting with meteorologist Dave Jones. We explore the technology behind weather predictions, why forecasts sometimes miss the mark, and how climate change is making weather patterns more unpredictable. Discover just how much our daily lives, economies, and even safety depend on getting the weather right!  

Show Notes: AI for Everyone Podcast

Send Everyday AI and Jordan a text messageReady to see how AI is rewriting our climate future? We're diving deep into how cutting-edge AI is transforming climate forecasting in ways you wouldn't believe.From simulating extreme weather patterns to unlocking a whole new level of prediction accuracy, the future of climate science is here—and it's powered by NVIDIA's Earth-2, a visionary project that uses AI to build a digital twin of the planet.Another game-changer?NVIDIA's Stormcast. It's pushing the boundaries of weather prediction with generative AI, offering unprecedented precision in forecasting major weather events. Mike Pritchard from NVIDIA joins us to discuss.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan and Mike questions on AI and weatherUpcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. Role of NVIDIA in Weather Forecasting2. Impact of AI on Weather Forecasting3. Data Streams and Predictions4. AI in Climate Change and RegulationTimestamps:01:55 Daily AI news04:40 About Mike and his role at NVIDIA08:35 Weather predictions use complex, intensive, chaotic computational models.10:28 NVIDIA's AI model revolutionizing weather predictions globally.13:56 Stormcast: AI disrupts weather prediction models' physics.19:16 AI enables high-resolution, large ensemble weather forecasts.20:35 NVIDIA's Stormcast enables on-demand, personalized weather forecasting.24:49 Cloud changes affect global warming and climate.27:39 AI models for ocean-atmosphere climate prediction.31:11 AI predicts weather using learned physical models.34:05 Generative AI aids in extreme weather preparedness.Keywords:AI in weather prediction, NVIDIA, data streams and predictions, prediction models, atmospheric conditions, probabilistic outcomes, stochastic processes, Stormcast research project, high-resolution weather modeling, generative AI, meteorological expertise, on-demand weather forecasting, niche weather models, ensemble simulations, extreme weather events, climate simulation, cloud formation, meteorological agencies, climate change, Mike Pritchard, Everyday AI, Microsoft WorkLab podcast, climate simulation research, healthcare efficiency, Blackwell GPU, Tesla autonomous vehicles, clouds in climate regulation, sub-seasonal to seasonal weather predictions, ocean-atmosphere systems, extreme weather predictions.

In early May, a historic solar storm lit up skies with auroras as far south as Florida. Beyond the dazzling photos on social media, we'll explore the critical behind-the-scenes work to protect our power grid. Shawn Dahl from the Space Weather Prediction Center discusses their crucial forecasting role and demystifies space weather, separating fact from fiction in this fascinating phenomenon.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Guest: Andrew Brady, Founder of AtmoSphere AnalyticsTo some in the meteorological industry, Artificial Intelligence or Machine Learning could seem like scary things. But as technology improves, we can learn to harness these things and use them to our advantage to help further our mission: to save lives and property from the threats that weather can pose. Our guest today is doing just that and then some! Andrew Brady has created a weather prediction model that is powered by advanced machine learning. How is he using this to forecast tornadoes and severe weather accurately from a time frame as short as 1 hour to as far out as 120 hours? Well, that's what we're going to geek out about today…Chapters00:00 The Power of Machine Learning in Weather Prediction06:31 The Creation of MMFS and StormNet16:16 HazCast and Real-Time Data in Severe Weather Prediction26:10 Performance and Real-Time Evaluations of StormNet41:18 Future Developments of StormNetSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Send us a Text Message.How do your favorite video games create such lifelike graphics, or movies conjure up those mesmerizing special effects? Today, on AI for Kids, we promise you'll discover the secrets behind GPUs—or Graphics Processing Units—the unsung heroes making all this magic possible. Join us as we unpack how GPUs function not only as super-fast artists turning data into stunning visuals but also as powerful calculators processing massive information at lightning speed. You'll never look at your screens the same way again!But that's not all! We also dive into the incredible roles GPUs play beyond visuals, from accelerating AI learning to predicting weather patterns and exploring space. Plus, there's a fun interactive game where you get to play the role of a GPU! Grab your crayons or tablets and get ready to draw at super speeds. You'll also learn why keeping GPUs cool is crucial for their performance. This episode is packed with exciting insights and activities that make learning about GPUs not just informative but a whole lot of fun. Tune in now and let's get started!Support the Show.Help me become the #1 (number one) podcast and podcaster for AI for Kids. Please follow, rate our show, and share with your family and friends, and even your teachers.Listen, rate, and subscribe! Stay updated with our latest episodes by subscribing to AI for Kids on your favorite podcast platform. Follow us on social media for more fun and educational content about AI and technology for kids! Apple Podcasts Amazon Music Spotify YouTube Other Like our content, subscribe or feel free to donate to our Patreon here: patreon.com/AiDigiTalesResources: Gift or get our books here on Amazon. Check out our website. Free AI Worksheets.

Join us in this episode with Weather Optics' Scott Pecoriello discussing the significant impact of weather changes on freight operations! Scott explains how they leverage weather and transportation data to provide actionable intelligence including risk scores for potential weather impacts and automated alerts, and forthcoming innovations such as a hyper-local weather prediction model!   About Scott Pecoriello Scott Pecoriello is the co-founder and CEO of WeatherOptics, a leading company in weather risk and enterprise risk management for the supply chain industry. With over five years of experience in this sector, Scott has been instrumental in developing proprietary models that provide hyperlocal and accurate weather predictions, tailored specifically to logistics, retail, emergency management, and government. WeatherOptics' customers include Werner, NFI Industries, and PGT Trucking.   Connect with Scott Website: https://www.weatheroptics.co/ LinkedIn: https://www.linkedin.com/in/scott-pecoriello-b8a734a2/    

Guest: Clinton Wallace, Director of the SWPCWeather Geeks often spend their time looking up at the sky, but there are some Geeks that look even farther up! Forecasters at NOAA's Space Weather Prediction Center are tasked with looking at everything PAST our atmosphere to warn us of any impending threats. However, sometimes those threats can be visualized as a spectacle with the Northern Lights, which we were ALL treated to one of the greatest shows of our lifetimes back in early May. How did the Space Weather Prediction Center forecasters know this event was coming? Well they were led by Director Clinton Wallace, and we have him on the show!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Our show meteorologist Ryan Clary has had some close calls in the past, but this time he has nailed his prediction. 

On this segment of Copper Country Today, host Todd VanDyke talks with meteorologist Matt Zika from the National Weather Service office in Marquette about what happened last winter, the prognosis for summer, and severe storm preparedness. Copper Country Today airs throughout Michigan's Keweenaw Peninsula Sunday mornings at 7:00 on WOLV 97.7 FM, 8:00 on WCCY 99.3 FM and 1400 AM, and 9:00 on WHKB 102.3 FM. The program is sponsored by the Copper Shores Community Health Foundation. Copyright © 2024, Houghton Community Broadcasting, Houghton, MI.

Marvel at Huawei's meteorological innovation as they unveil a new Weather Prediction AI, poised to bring billion-dollar impacts to the industry. Delve into the details of this groundbreaking technology and its potential to reshape forecasting capabilities. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

In this episode, we explore the implications of Huawei's groundbreaking AI in weather prediction, discussing its billion-dollar impact and potential transformative effects on forecasting technology. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community

Witness Huawei's forecasting breakthrough with the introduction of a new Weather Prediction AI, carrying billion-dollar repercussions. Explore the transformative potential of this technology on accuracy and reliability in predicting weather patterns. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: https://www.facebook.com/groups/739308654562189/Follow me on Twitter: https://twitter.com/jaeden_ai

In this episode, we unravel the disruptive potential of Huawei's latest AI-based weather prediction technology, assessing its implications that could drive billion-dollar economic impacts. Examining the intricacies of this innovation and its potential market influence, we discuss the transformative power it holds in revolutionizing weather forecasting. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ AI Facebook Community Learn more about LLM's Learn more about AI

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Independent Climatologist, Darren Ray said there's, "a possible weak change just ahead of Christmas" and revealed his estimated temperature for December 25.

What it means that artificial intelligence can now forecast the weather like a supercomputer, and measuring methane emissions from municipal waste   First up on this week's show, Staff Writer Paul Voosen joins host Sarah Crespi to talk about how artificial intelligence has become shockingly good at forecasting the weather while using way fewer resources than other modeling systems. Read a related Science paper.   Next, focusing on municipal solid waste—landfills, compost centers, garbage dumps—may offer a potentially straightforward path to lower carbon emissions. Zheng Xuan Hoy, a recent graduate from the new energy science and engineering department at Xiamen University Malaysia, discusses his Science paper on this overlooked source of methane and some plausible solutions for reducing these emissions.   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Paul Voosen   Episode page: https://www.science.org/doi/10.1126/science.adm9783

What it means that artificial intelligence can now forecast the weather like a supercomputer, and measuring methane emissions from municipal waste   First up on this week's show, Staff Writer Paul Voosen joins host Sarah Crespi to talk about how artificial intelligence has become shockingly good at forecasting the weather while using way fewer resources than other modeling systems. Read a related Science paper.   Next, focusing on municipal solid waste—landfills, compost centers, garbage dumps—may offer a potentially straightforward path to lower carbon emissions. Zheng Xuan Hoy, a recent graduate from the new energy science and engineering department at Xiamen University Malaysia, discusses his Science paper on this overlooked source of methane and some plausible solutions for reducing these emissions.   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Paul Voosen   Episode page: https://www.science.org/doi/10.1126/science.adm9783

Get ready for an episode of groundbreaking tech revelations as we uncover Huawei's latest innovation, a billion-dollar weather prediction AI. Join us as we delve into the profound implications of this advanced technology, poised to transform industries, agriculture, and emergency preparedness. Discover how Huawei is set to reshape the way we understand, anticipate, and adapt to weather forecasts in this game-changing unveiling. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

In this episode, we unravel the revolutionary AI-powered weather prediction system introduced by Huawei, exploring its billion-dollar implications. Join us as we delve into the profound impacts this technology could have on industries, agriculture, and disaster preparedness. Discover how Huawei's innovation is poised to reshape the way we understand and adapt to weather forecasts. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

In this episode, we dive into Huawei's groundbreaking AI-driven weather prediction system, a technological marvel that's set to disrupt the billion-dollar weather forecasting industry. Join us as we explore the implications of this innovative AI solution and how it could reshape the future of accurate weather forecasting on a global scale. Don't miss this deep dive into the fascinating world of AI-powered meteorology. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

Check the alamac read facts first

In this episode, we delve into the exciting unveiling of Huawei's revolutionary weather prediction AI, discussing its advanced capabilities and the billion-dollar implications it holds for industries worldwide. Get on the AI Box Waitlist: https://AIBox.ai/ Investor Contact Email: jaeden@aibox.ai Facebook Community: ⁠https://www.facebook.com/groups/739308654562189/⁠ Discord Community: https://aibox.ai/discord Download Selfpause: https://selfpause.com/Podcast ⁠Inflection AI Report⁠

The Squiz is your shortcut to the news. More details and links to further reading for all of today's news can be found in The Squiz Today email. Click here to get it in your inbox each weekday morning. The delicious Ottolenghi prawn and tomato risoni is here. Other things we do: Squiz Shortcuts - a weekly explainer on big news topics Squiz Kids - a news podcast for curious kids. Age-appropriate news without the nasties!

Drones for weather prediction, tracking inventory with autonomous drones, NPRM for UAS communications spectrum, Walmart delivery statistics, underwater drones, the electric grid, cargo delivery to ships.

Summer has arrived! Weather-wise, what can South Australians expect for the next three months?

Summer has arrived! Weather-wise, what can South Australians expect for the next three months?

Since 1797, the Hagers-Town Town and Country Almanack has provided residents in our area a 16-month weather forecast. The almanack's prognosticator and WTOP meteorologist Chad Merrill joins the show to give his prediction of how much snow we will get this winter and when to expect the white stuff. Plus, WTOP engineer David Mundschenk tells us why vinyl is making a comeback in this digital age.

Since 1797, the Hagers-Town Town and Country Almanack has provided residents in our area a 16-month weather forecast. The almanack's prognosticator and WTOP meteorologist Chad Merrill joins the show to give his prediction of how much snow we will get this winter and when to expect the white stuff. Plus, WTOP engineer David Mundschenk tells us why vinyl is making a comeback in this digital age.

What's a good enough weather prediction? That's a question most people probably don't give much thought to, as the answer seems obvious -- an accurate one. But then again, most people are not CTOs at DTN. Lars Ewe is, and his answer may be different than most people's. With 180 meteorologists on staff providing weather predictions worldwide, DTN​ is the largest weather company you've probably never heard of. Weather forecast, too, is all about data and models these days. But balancing accuracy and viability is a fine act, especially at global scale and when the stakes are high. Article published on ZDNet

With the rise of technology, more people are turning to machine learning (ML) for different applications. One particular area where ML is being used is weather forecasting. While traditional weather prediction methods are widely used nowadays, many areas still need improvement. ML can help weather forecasters improve their predictions by analyzing data from the past and present. Continue reading on procommun.com

This week's Electromaker Show is now available on YouTube and everywhere you get your podcasts! Welcome to the Electromaker Show episode 73! This week we take a look at a beautiful Raspberry Pi Zero handheld, an in-depth Arduino and TensorFlow weather project, along with the latest News and Crowdfunding projects from the Maker and Embedded world! Tune in for the latest maker, tech, DIY, IoT, embedded, and crowdfunding news stories from the week.   Watch the show! We publish a new show every week. Subscribe here: https://www.youtube.com/channel/UCiMO2NHYWNiVTzyGsPYn4DA?sub_confirmation=1 We stock the latest products from Adafruit, Seeed Studio, Pimoroni, Sparkfun, and many more! Browse our shop: https://www.electromaker.io/shop Join us on Discord! https://discord.com/invite/w8d7mkCkxj​ Follow us on Twitter: https://twitter.com/ElectromakerIO Like us on Facebook: https://www.facebook.com/electromaker.io/ Follow us on Instagram: https://www.instagram.com/electromaker_io/ Featured in this show: O3-enabled BLE Weather Station Predicting Air Quality using TensorFlow Loopie RGB LED Lamp How to buy Electronics in 2022 by Carl Bugeja Digital Audio Processing with STM32 - #1 Introduction and Filters - Phil's Lab Penkesu Computer: Homebrew Retro Handheld with Pi Zero 2 W Roundy on Kickstarter MangoPi-Nezha MQ RISC-V dev kit on Crowd Supply Aspinity Takes on TinyML, Claiming the Industry's First Fully Analog ML Chip Raspberry Pi Coolest Projects Global 2022 is go! Picamera2 is in early preview release A Biorobotic Fish made from Human Heart Cells

Thanks for listening to WIRED. Check back in tomorrow to hear more stories from WIRED.com.

Chris, Molly, and Adam talk about all the events of the Washington tornado and Chris gives his winter weather prediction for the season.

In this episode of The WeatherPod, we'rve invited into the studio two guests with considerable experience in scientific research on tropical weather systems and in operational weather forecasting in Africa – Professor Doug Parker from the University of Leeds, UK and Dr Mariane Diop-Kane from the WMO Africa Regional Office, Addis Ababa, Ethiopia. Hosted on Acast. See acast.com/privacy for more information.

Not many people can claim to have revolutionized the art and science of weather prediction. Venkatachalam Ramaswamy came up with a plan adopted by the National Oceanic and Atmospheric Administration to substantially upgrade its operational prediction model. Ramaswamy is director of NOAA's geophysical fluid dynamics laboratory, as well as a a finalist in this year's Service to America Medals program. He joined Federal Drive with Tom Temin to talk about his work.