Host: Ryan Harris

Guest: Scott Mackaro, Head of Insights and Innovation, Vaisala X-Weather

Description: What if NOAA’s global weather model didn’t exist in 10 years? It’s a provocative question that challenges conventional wisdom, but it’s a question worth considering as Google, NVIDIA, and others are challenging the weather modeling space with their rapidly advancing AI technology. The government should still probably play some sort of role in shaping and regulating this potential future paradigm shift similar to how the government regulates the safety of insulin and other pharmaceuticals while still promoting innovation. Scott Mackaro from Vaisala X-Weather joins the show for what may turn out to be the first in a series of Outside the Box episodes.

For complete show notes:

The Triple Point Podcast Website

Show Notes

Host: Ryan Harris

Guest: Matt Stein, CEO, Salient Predictions

Description: The atmosphere is the main driver of our daily weather.  But it's the oceans, with its long-term thermodynamic memory, that drive our climate patterns from seasonal, to decadal, and beyond.  NOAA’s Climate Prediction Center and an increasing number of private industry companies like Salient Predictions use signals in long-term ocean patterns, soil moisture, sea ice, and snow cover to make much longer predictions than what you might see on your daily weather app.  Such signals give us long-term oscillation patterns like El Nino, the Arctic Oscillation, and more.  And these companies are helping industries from energy, to agriculture, to insurance buy down sub-seasonal to seasonal environmental risk.  It’s one of the frontiers in the weather and climate world where climate science meets data science head and where unique machine learning techniques are finding new signals in the noise of our chaotic climate.

See Podcast Website for Complete Show Notes

Show Notes

Host: Ryan Harris

Guests: Brian LaMarre, NWS Meteorologist in Charge, Tampa Bay

Description: In 1900, an estimated 8,000 people lost their lives in the Great Galveston Hurricane that September. Our understanding of hurricane risk has improved immensely since then, but still over 100 were killed just 18 months ago in Hurricane Ian. Risk is defined as the probability of some hazard occurring multiplied by the impact that hazard may have on an individual, population, or system. The first problem here is that humans don't always understand probabilities, and the second problem is that humans have a psychological bias to downplay or plain ignore the risk of hazards because they haven't personally experienced the hazard before. Hurricane Ian was a perfect example of poor risk perceptions, and it's the first topic we uncover this year as Brian LaMarre from the National Weather Service joins The Triple Point™. Hear about how the Weather Service is improving risk perceptions with better technology and communications strategies, and also the importance of personal accountability and trusting authoritative sources.

For complete show notes: https://triplepointpodcast.com