GenSea
Today’s episode dives into one of the biggest questions in climate science: How much can we trust future climate projections? Climate models are powerful tools, but they’re not crystal balls. To understand what they can tell us, and also where their limits lie, we explore how these models work, why uncertainty is built into them, and what that means for interpreting their results. We break down the key sources of uncertainty, from the chaotic nature of the Earth system to the assumptions scientists must make about future emissions, land use, and population growth. These choices shape the scenarios that models simulate, and ultimately the futures they reveal. But don't you worry! When all these factors are accounted for, our climate models are a great resource to understand our possible futures. Don't hesitate to contact us in case you have questions, or with suggestions for further research and podcast episodes on the topic (lennard.montag@uol.de [(lennard.montag@uol.de], www.linkedin.com/in/lennard-montag) [https://www.linkedin.com/in/lennard-montag]). RESOURCES: CarbonBrief's climate modelling explainers: * History of climate modelling https://www.carbonbrief.org/timeline-history-climate-modelling/ [https://www.carbonbrief.org/timeline-history-climate-modelling/] * How do climate models work? https://www.carbonbrief.org/qa-how-do-climate-models-work/ [https://www.carbonbrief.org/qa-how-do-climate-models-work/] * Can we trust models: https://www.carbonbrief.org/can-we-trust-climate-models/ [https://www.carbonbrief.org/can-we-trust-climate-models/] Model comparison against observations – RealClimate posts by Gavin Schmidt and colleagues: https://www.realclimate.org/index.php/archives/2019/12/how-good-have-climate-models-been-at-truly-predicting-the-future/ [https://www.realclimate.org/index.php/archives/2019/12/how-good-have-climate-models-been-at-truly-predicting-the-future/] https://www.realclimate.org/index.php/climate-model-projections-compared-to-observations/ [https://www.realclimate.org/index.php/climate-model-projections-compared-to-observations/] Information about CMIP6 Geoengineering and Carbon Removal Model Intercomparison Project (MIP): Keller, D. P., Lenton, A., Scott, V., Vaughan, N. E., Bauer, N., Ji, D., Jones, C. D., Kravitz, B., Muri, H., and Zickfeld, K.: The Carbon Dioxide Removal Model Intercomparison Project (CDR-MIP): Rationale and experimental protocol for CMIP6, Geosci. Model Dev., https://doi.org/10.5194/gmd-2017-168 [https://doi.org/10.5194/gmd-2017-168], 2018. Kravitz, B., Robock, A., Tilmes, S., Boucher, O., English, J. M., Irvine, P. J., Jones, A., Lawrence, M. G., MacCracken, M., Muri, H., Moore, J. C., Niemeier, U., Phipps, S. J., Sillmann, J., Storelvmo, T., Wang, H., and Watanabe, S.: The Geoengineering Model Intercomparison Project Phase 6 (GeoMIP6): simulation design and preliminary results, Geosci. Model Dev., 8, 3379-3392, doi:10.5194/gmd-8-3379-2015, 2015 Lennartz, S. T., Keller, D. P., Oschlies, A., Blasius, B., & Dittmar, T. (2024). Mechanisms underpinning the net removal rates of dissolved organic carbon in the global ocean. Global Biogeochemical Cycles, 38, e2023GB007912. https://doi.org/10.1029/2023GB007912 [https://doi.org/10.1029/2023GB007912] Information about the emission scenarios – old and new: https://open.substack.com/pub/theclimatebrink/p/on-the-death-of-rcp85?utmcampaign=post-expanded-share&utmmedium=web [https://open.substack.com/pub/theclimatebrink/p/on-the-death-of-rcp85?utm_campaign=post-expanded-share&utm_medium=web]
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