Show Notes

Host: Ryan Harris

Guest: Dr. Rob Young, Director for the Study of Developed Shorelines at Western Carolina University

Description: Next up in our series of “Outside the Box” conversations is a discussion with Dr. Rob Young on how “the box” for coastal resilience may actually be inside out. Conventional wisdom for coastal adaptation is all about communities trying to protect their map and their tax base. Better management, monitoring, systems thinking to minimize unintended consequences, and taking time to study whether adaptation measures are actually working or not are some basic measures that can improve resilience strategies. Outside the box thinking in this space also requires legislative progress and what many are increasingly calling for a National Adaptation Plan. Hard choices are required by local municipalities and businesses when it comes to adaptation, and we need to be honest with ourselves and where we invest in coastal adaptation if we are going to truly move the needle on making our communities more resilient.

For complete show notes: The Triple Point™ Podcast Website.

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