{"id":59432,"date":"2020-12-04T14:29:00","date_gmt":"2020-12-04T14:29:00","guid":{"rendered":"https:\/\/www.lse.ac.uk\/granthaminstitute\/?post_type=publication&#038;p=59432"},"modified":"2022-07-01T11:43:47","modified_gmt":"2022-07-01T10:43:47","slug":"on-generalized-langevin-dynamics-and-the-modelling-of-global-mean-temperature-2","status":"publish","type":"publication","link":"https:\/\/www.lse.ac.uk\/granthaminstitute\/publication\/on-generalized-langevin-dynamics-and-the-modelling-of-global-mean-temperature-2\/","title":{"rendered":"On Generalized Langevin Dynamics and the Modelling of Global Mean Temperature (version 2)"},"content":{"rendered":"<!DOCTYPE html PUBLIC \"-\/\/W3C\/\/DTD HTML 4.0 Transitional\/\/EN\" \"http:\/\/www.w3.org\/TR\/REC-html40\/loose.dtd\">\n<?xml encoding=\"UTF-8\"><p>Climate science employs a hierarchy of models, trading the tractability of simplified energy balance models (EBMs) against the detail of Global Circulation Models. Since the pioneering work of Hasselmann, stochastic EBMs have allowed treatment of climate fluctuations and noise. However, it has recently been claimed that observations motivate heavy-tailed temporal response functions in global mean temperature to perturbations. Our complementary approach exploits the correspondence between Hasselmann&rsquo;s EBM and the original mean-reverting stochastic model in physics, Langevin&rsquo;s equation of 1908. We propose mapping a model well known in statistical mechanics, the Mori-Kubo Generalised Langevin Equation (GLE) to generalise the Hasselmann EBM. If present, long range memory then simplifies the GLE to a fractional Langevin equation (FLE). We describe the corresponding EBMs that map to the GLE and FLE, briefly discuss their solutions, and relate them to Lovejoy&rsquo;s new Fractional Energy Balance Model.<\/p>\n\n\n\n<p><strong>Watkins, N.W., Chapman, S.C., Chechkin, A., Ford, I., Klages, R. and Stainforth, D.A., 2020, December. On Generalized Langevin Dynamics and the Modelling of Global Mean Temperature. https:\/\/doi.org\/10.48550\/arXiv.2007.06464<\/strong><\/p>\n\n","protected":false},"excerpt":{"rendered":"<!DOCTYPE html PUBLIC \"-\/\/W3C\/\/DTD HTML 4.0 Transitional\/\/EN\" \"http:\/\/www.w3.org\/TR\/REC-html40\/loose.dtd\">\n<?xml encoding=\"UTF-8\"><p>Climate science employs a hierarchy of models, trading the tractability of simplified energy balance models (EBMs) against the detail of&hellip;<\/p>\n\n","protected":false},"author":12,"featured_media":0,"template":"","tags":[104,1998],"publication-type":[435],"topic_area":[],"class_list":["post-59432","publication","type-publication","status-publish","hentry","tag-modelling","tag-temperature-fluctuations","publication-type-working-papers"],"acf":{"exclude_from_sync":{"ref_value":"field_560538b0e7350","value":"0","type":false,"post_type":""},"downloads":{"ref_value":"field_52f16cc1a80f2","value":false,"type":"repeater","post_type":""},"rss_newsletter":{"ref_value":"field_54f5c2c1544d8","value":"","type":false,"post_type":""},"profile_link":{"ref_value":"field_52f164b5189e9","value":["nick-watkins","david-stainforth"],"type":"relationship","post_type":"profile"},"article_link":{"ref_value":"field_52eee3c7f0586","value":"https:\/\/arxiv.org\/abs\/2007.06464v2","type":false,"post_type":""},"article_link_title":{"ref_value":"field_5322399d89d42","value":"external link to paper","type":false,"post_type":""},"spotlight":{"ref_value":"field_52f80896506d3","value":"","type":false,"post_type":""}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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