Weather With Enthusiasm !

Simcha Lefton

Weather with Enthusiasm is a podcast about weather, atmospheric extremes, and climate (including little ice age)  created by Simcha Lefton. Documentaries and/or other interesting weather phenomena are released daily at 3pm Sunday - Friday and 10pm on Saturday.   Should you choose to become a member this material (the next weeks episodes)  will be made available to you immediately.   The show features passionate weather analysis, with a special focus on the Midwest, while also exploring major weather and climate events from around the world. Topics include storms, heatwaves, Arctic heat, climate change, the Dust Bowl, historical weather extremes, and occasional imaginative retellings of biblical weather events as if covered by a modern weather service. For the first five years, the podcast was entirely hosted and delivered by Simcha Lefton, with no AI content. Beginning in April 2026, the feed expanded to include some AI-generated episodes and segments, including daily Chicago zmanim and sunrise/sunset times, hyperlocal forecast episodes with detailed weather explanations, and documentary-style episodes. All AI content is clearly recognizable and part of the same broader project: making weather information and atmospheric storytelling more engaging, accessible, and wide-ranging.  There is also a focus on storm chasing including most likely location of triple-point (as of April 2026).  Whether you’re here for Midwest weather, Arctic anomalies, historical climate perspective, or creative weather storytelling, Weather with Enthusiasm brings it all together in one feed. Become a supporter of this podcast: https://www.spreaker.com/podcast/weather-with-enthusiasm--4911017/support.

  1. Weather Decoded: The Supercomputer Forecast & The Unsung Heroes Episode Description:

    1D AGO

    Weather Decoded: The Supercomputer Forecast & The Unsung Heroes Episode Description:

    Step into the invisible world of weather forecasting! This episode rips open the hood on the mind-boggling computational science behind your daily weather app. We'll meet the global forecast models – from America's GFS to Europe's gold standard ECMWF – and uncover their strengths, spectacular failures (like the "GFScane"), and why they often disagree. Discover the power of ensemble forecasts, the magic of "spaghetti plots," and how a free tool like Windy.com puts professional-grade data at your fingertips. Finally, we'll explore the rise of AI in weather prediction and the irreplaceable role of human meteorologists as "model whisperers" in a world of ever-improving technology. Chapter Titles with Timestamps: 00:00 - The Unseen Computational Marvel: How billions of equations power your weather app.01:05 - Welcome to Weather Decoded: Unpacking the Models: Introduction to the podcast and today's deep dive into weather forecasting models.02:08 - Meet the Players: The Global Model Ecosystem: Introducing the various global and regional weather models and their disagreements.02:37 - GFS: America's Workhorse & the "GFScane": Exploring the Global Forecast System, its accessibility, and its notorious hurricane prediction quirks.04:14 - ECMWF: The Gold Standard from Europe: Delving into the European Centre for Medium-Range Weather Forecasts, its superior resolution, and non-hydrostatic physics.05:43 - NAM & HRRR: Regional Detail & Hyper-Local Precision: Discussing the North American Mesoscale and High-Resolution Rapid Refresh models for short-range and severe weather.06:55 - ICON & Other Global Contenders: Highlighting Germany's ICON, the UK Met Office model, and Canada's CMC/GDPS.08:35 - The Power of Ensemble Forecasts: Embracing Uncertainty: How models run dozens of times to create probability distributions and "spaghetti plots."10:14 - Key Ensemble Systems: GFS, EPS, CMCE & HRRR: A closer look at the major ensemble models and their applications.11:46 - The Grand Ensemble & National Blend of Models: How combining multiple models creates the most reliable public forecasts.12:20 - Windy.com: Your Free Gateway to Professional Data: A glowing review of Windy.com's visualization platform and accessible model data.15:14 - Which Model Wins? A Breakdown of Accuracy: Comparing model performance across different timeframes and conditions.17:29 - The Rise of AI in Weather Forecasting: GraphCast & Beyond: Discussing Google DeepMind's GraphCast and the challenges of "black box" AI models.19:23 - The Irreplaceable Human Element: Model Whisperers: The role of human meteorologists, their intuition, and expertise in interpreting model data.21:05 - Public vs. Private Forecasting: Trust & Accountability: The different demands and freedoms in public and private sector forecasting.22:52 - Why Weather Matters: The Audacity of Prediction: A personal reflection on the beauty and democratic nature of weather science.24:44 - Democratizing Weather Data: A Golden Age: Celebrating the accessibility of professional weather data to amateur enthusiasts.26:48 - Keep Looking Up: A Call to Observe: Encouraging listeners to connect with the sky and the atmospheric phenomena around them.27:49 - Wrap-Up & Next Week's Preview: Concluding remarks and an invitation to explore Windy.com. Become a supporter of this podcast: https://www.spreaker.com/podcast/weather-with-enthusiasm--4911017/support. This episode includes AI-generated content.

    28 min

About

Weather with Enthusiasm is a podcast about weather, atmospheric extremes, and climate (including little ice age)  created by Simcha Lefton. Documentaries and/or other interesting weather phenomena are released daily at 3pm Sunday - Friday and 10pm on Saturday.   Should you choose to become a member this material (the next weeks episodes)  will be made available to you immediately.   The show features passionate weather analysis, with a special focus on the Midwest, while also exploring major weather and climate events from around the world. Topics include storms, heatwaves, Arctic heat, climate change, the Dust Bowl, historical weather extremes, and occasional imaginative retellings of biblical weather events as if covered by a modern weather service. For the first five years, the podcast was entirely hosted and delivered by Simcha Lefton, with no AI content. Beginning in April 2026, the feed expanded to include some AI-generated episodes and segments, including daily Chicago zmanim and sunrise/sunset times, hyperlocal forecast episodes with detailed weather explanations, and documentary-style episodes. All AI content is clearly recognizable and part of the same broader project: making weather information and atmospheric storytelling more engaging, accessible, and wide-ranging.  There is also a focus on storm chasing including most likely location of triple-point (as of April 2026).  Whether you’re here for Midwest weather, Arctic anomalies, historical climate perspective, or creative weather storytelling, Weather with Enthusiasm brings it all together in one feed. Become a supporter of this podcast: https://www.spreaker.com/podcast/weather-with-enthusiasm--4911017/support.