Revolutionizing Weather Prediction with Microsatellites episode artwork

EPISODE · May 14, 2025 · 25 MIN

Revolutionizing Weather Prediction with Microsatellites

from Weather Geeks

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 But much of our atmospheric data comes from outdated or sparse observation networks, leaving gaps in our understanding of rapidly changing weather patterns.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.

In this episode of Weather Geeks, Dr. Marshall Shepherd interviews Dr. Al Gasiewski, a leading expert in satellite-based meteorology and co-founder of WeatherStream. They discuss the critical role of data in weather forecasting, the innovative use of microsatellites to improve atmospheric monitoring, and the importance of thermodynamic variables in predicting weather patterns. The conversation also covers the challenges and opportunities in developing micro satellites, the evolution of public-private collaboration in weather data, and the broader applications of weather information across various industries. Dr. Gasiewski shares insights into the future of remote sensing and the potential impact of their upcoming satellite constellation on weather forecasting accuracy.

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Revolutionizing Weather Prediction with Microsatellites

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This episode was published on May 14, 2025.

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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 But much of our atmospheric data comes from outdated or sparse observation networks, leaving...

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