54: 4/21 Spring Rains, Weather Cycles & the Forecast We All Need with Gary Lezak episode artwork

EPISODE · Apr 21, 2025 · 14 MIN

54: 4/21 Spring Rains, Weather Cycles & the Forecast We All Need with Gary Lezak

from CattleUSA Daily · host Lauren Moylan | Cattle USA

In this episode, Lauren Moylan and Gary Lezak discuss the excitement of Fridays, the return of ties in fashion, and delve into the intricacies of weather patterns and predictions. They explore the LRC model's ability to forecast weather cycles, the importance of timely rain for agriculture, and the seasonal changes affecting the Midwest. The conversation highlights the significance of long-term weather forecasting for farmers and ranchers, ensuring they are prepared for upcoming weather events.LinksWatch on Youtube!Weather 20/20⁠⁠⁠CattleUSA Website⁠⁠⁠ - ⁠⁠⁠Subscribe to our newsletter⁠⁠⁠ - ⁠⁠CattleUSA Media⁠⁠ - ⁠Facebook⁠ - ⁠Instagram⁠ - ⁠⁠⁠The Next Generation Podcast Website⁠⁠⁠ ⁠⁠⁠⁠✍️⁠⁠⁠⁠⁠⁠CLICK HERE TO RATE & REVIEW THE PODCAST ON APPLE PODCASTS!⁠⁠⁠⁠⁠⁠⁠⁠⁠✍️⁠⁠⁠⁠ (Click the link, scroll down to where it says “Ratings & Reviews” and click the small link that says “Write a Review”)⁠⁠⁠⁠✍️⁠⁠⁠⁠⁠⁠⁠CLICK HERE TO RATE & REVIEW THE PODCAST ON SPOTIFY!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠✍️⁠⁠⁠⁠ (Click the link, select the three dots next to the following button, and click the star that says “Rate show”)TakeawaysWeather patterns cycle regularly, affecting predictions.The LRC model helps predict weather cycles.Spring rains are crucial for agriculture.Burning season in the Flint Hills is nostalgic yet challenging.The timing of rain is essential for planting.Long-term forecasts can help farmers plan better.Snow in Colorado contrasts with warmer weather in Kansas.Listeners can access exclusive weather insights through CattleUSA.Chapters00:00 Weather Patterns and Predictions07:40 The LRC Model Explained11:17 Upcoming Weather Events and Impacts14:13 Seasonal Changes and Agricultural Insights17:26 Conclusion and Listener Engagementweather, LRC model, long-term forecasting, spring rain, weather patterns, agriculture, Kansas City, ties, seasonal changes, predictions

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