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Modeling climate change | MIT Computational Thinking Spring 2021 | Lecture 25

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Streamed live on May 19, 2021
58:26

For more info on the Julia Programming Language, follow us on Twitter: https://twitter.com/JuliaLanguage Pluto notebook: https://computationalthinking.mit.edu/Spring21/inverse_climate_model/ MARGO's Github: https://github.com/ClimateMARGO/ClimateMARGO.jl/blob/main/src/Optimization/deterministic_optimization.jl Contents 00:00 Welcome 00:41 Introduction to MARGO 01:24 Henri on the motivation behind MARGO 03:00 How to interact with the climate model 05:16 Emission mitigation and carbon dioxide removal to minimize climate suffering 09:30 Mitigation, Removal, Geo-engineering 09:50 Adaptation: Henri explaining the equations 17:20 Mitigating emissions 20:15 Cost & damages 22:30 Henri on net cost & net benefit 24:20 Picking up the slack carbon dioxide removal 26:22 Alan on climate model incorporating economic variables 27:10 David on Solving inverse problems 28:40 Modeling with JuMP 33:05 Example of JuMP (Unconstrained optimization) 43:20 Constrained optimization 47:55 MARGO source code with JuMP 51:15 MARGO's automated optimization 54:20 Henri on how optimal policy depends on the model's assumptions 56:45 Wrap up (advice for interested CS students) S/O to https://github.com/ntmt2903 for the video timestamps! Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/JuliaCommunity/YouTubeVideoTimestamps Interested in improving the auto generated captions? Get involved here: https://github.com/JuliaCommunity/YouTubeVideoSubtitles

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Modeling climate change | MIT Computational Thinking Spring 2021 | Lecture 25 | NatokHD