15 min listen
Maike Sonnewald on Modeling Oceanic Currents
FromCarry the Two
ratings:
Length:
25 minutes
Released:
May 9, 2023
Format:
Podcast episode
Description
Welcome to the first episode of Carry the Two’s collaboration with the American Geophysical Union’s Third Pod from the Sun!
In this episode, we get our feet wet with physical oceanographer, Maike Sonnewald. Maike explains how the ocean currents interplay with our warming atmosphere and what that means for our climate. Using machine learning to build climate models, Maike analyzes how things like greenhouse gases are warming our oceans and changing the pattern of currents.
And don’t forget to listen to Maike’s work through a geophysical lens, over at Third Pod from the Sun!
Check out the AGU’s Third Pod from the Sun with Maike: https://thirdpodfromthesun.com/2023/05/05/wave-and-means/
Find our transcript here: LINK
Curious to learn more? Check out these additional links:
Hear Maike’s talk for IMSI’s Confronting Global Climate Change: https://www.imsi.institute/videos/elucidating-ecological-complexity-unsupervised-learning-determines-global-marine-eco-provinces/
Upcoming paper from Maike: The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning. In press, Nature Communications Earth & Environment.
A review paper on ML in oceanography: Bridging theory, simulation, and observations of the global ocean using Machine Learning, 2021, Environmental Research Letters
Paper on the North Atlantic: Revealing the impact of global warming on climate modes using transparent machine learning. 2021, Journal of Advances in Modeling Earth Systems
For a math and AI twist on predicting ocean dynamics: Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. 2022, Journal of Advances in Modeling Earth Systems.
Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute
Follow Maike Sonnewald: https://msonnewald.com/
This episode was audio engineered by Tyler Damme. Special thanks to Third Pod’s producer Anupama Chandrasekaran.
Music by Blue Dot Sessions.
The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.
In this episode, we get our feet wet with physical oceanographer, Maike Sonnewald. Maike explains how the ocean currents interplay with our warming atmosphere and what that means for our climate. Using machine learning to build climate models, Maike analyzes how things like greenhouse gases are warming our oceans and changing the pattern of currents.
And don’t forget to listen to Maike’s work through a geophysical lens, over at Third Pod from the Sun!
Check out the AGU’s Third Pod from the Sun with Maike: https://thirdpodfromthesun.com/2023/05/05/wave-and-means/
Find our transcript here: LINK
Curious to learn more? Check out these additional links:
Hear Maike’s talk for IMSI’s Confronting Global Climate Change: https://www.imsi.institute/videos/elucidating-ecological-complexity-unsupervised-learning-determines-global-marine-eco-provinces/
Upcoming paper from Maike: The Southern Ocean supergyre: a unifying dynamical framework identified by machine learning. In press, Nature Communications Earth & Environment.
A review paper on ML in oceanography: Bridging theory, simulation, and observations of the global ocean using Machine Learning, 2021, Environmental Research Letters
Paper on the North Atlantic: Revealing the impact of global warming on climate modes using transparent machine learning. 2021, Journal of Advances in Modeling Earth Systems
For a math and AI twist on predicting ocean dynamics: Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. 2022, Journal of Advances in Modeling Earth Systems.
Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute
Follow Maike Sonnewald: https://msonnewald.com/
This episode was audio engineered by Tyler Damme. Special thanks to Third Pod’s producer Anupama Chandrasekaran.
Music by Blue Dot Sessions.
The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.
Released:
May 9, 2023
Format:
Podcast episode
Titles in the series (26)
Tiffany Christian on Wetland Monitoring: Wetlands like the marshes located just outside the city of New Orleans, LA are often overlooked, but these ecosystems provide many vital services. Wetlands, like all ecosystems, are under threat by climate change and particularly the increased tropical storms and hurricanes that tear across our coasts. So how can we monitor vast areas of wetlands to check their health, year after year? Statistician-in-Residence Tiffany Christian explains how researchers can remotely monitor wetland health and spot disruption of annual growth cycles. Find our transcript here: LINK Curious to learn more? Check out these additional links: Review of storm effects on wetlands: https://www.sciencedirect.com/science/article/abs/pii/S1872203215000657#:~:text=Impacts%20of%20tropical%20storms%20on%20wetland%20landscape%20changes,change%20wetland%20morphology%20and%20elevation Using remote sensing to detect changes in wetlands growing season: https://www.sciencedirect.com/ by Carry the Two