{"id":2636,"date":"2023-11-08T00:28:37","date_gmt":"2023-11-08T00:28:37","guid":{"rendered":"https:\/\/research.reading.ac.uk\/scenario\/?p=2636"},"modified":"2023-11-10T13:37:30","modified_gmt":"2023-11-10T13:37:30","slug":"sc2024_45-exploring-mechanisms-of-multi-year-predictability-in-extratropical-climate","status":"publish","type":"post","link":"https:\/\/research.reading.ac.uk\/scenario\/sc2024_45-exploring-mechanisms-of-multi-year-predictability-in-extratropical-climate\/","title":{"rendered":"SC2024_45 Exploring mechanisms of multi-year predictability in extratropical climate"},"content":{"rendered":"

Lead Supervisor: Christopher O’Reilly,<\/a> Department of Meteorology, University of Reading<\/strong><\/p>\n

Email: c.h.oreilly@reading.ac.uk<\/p>\n

Co-supervisor: Jon Robson, National Centre for Atmospheric Science (NCAS), University of Reading; Adam Scaife, University of Exeter & Met Office;\u00a0Antje Weisheimer,\u00a0ECMWF & University of Oxford<\/strong><\/p>\n

On interannual timescales, most of the regional climate variability in the extratropics is linked to variability in the large-scale atmospheric circulation. In recent years there has been emerging evidence of seasonal predictability of the large-scale atmospheric circulation in the northern extratropics at lead times of a year or more. An important recent example of this was the study of Scaife et al.<\/em> (2022), in which it is demonstrated that atmospheric angular momentum exhibits predictability over a year in advance. Previous studies have also highlighted circulation skill in certain regions at lead-times of over a year (e.g. Dunstone et al.<\/em> (2018); Befort et al.<\/em> (2020)). These developments in predictability are exciting, with developments in multi-year predictions being hugely valuable for a range of sectors. However, there are many fundamental issues regarding the mechanisms underlying the predictability that remain poorly understood.<\/p>\n

In this project we will investigate the mechanisms underlying multi-year climate predictability in an aim to understand and ultimately improve future climate prediction. The project brings together a supervisory team with a wealth of expertise and experience, including co-supervisors with positions at ECMWF and Met Office, world-leading operational climate prediction centres. This project provides an opportunity for a student to receive extensive training in climate science, dynamics and modelling, whilst working at the cutting-edge of climate prediction science.<\/p>\n

Training Opportunities<\/strong><\/p>\n

During this project the student will receive training in the science of climate dynamics and climate modelling. There will be opportunities to learn from supervisors and colleagues working on multi-year forecasts at world-leading operational centres.<\/p>\n

Student Profiles<\/strong><\/p>\n

This project would be suitable for students with a keen interest in the physics of the natural world, especially the dynamics of the atmospheric\/climate system and associated predictability. The project is particularly suitable for students with an undergraduate degree in physics, mathematics, computer science, meteorology or a closely related environmental\/physical science.<\/p>\n

Funding Particulars<\/strong><\/p>\n

This project is partially funded by the Royal Society<\/p>\n","protected":false},"excerpt":{"rendered":"

Lead Supervisor: Christopher O’Reilly, Department of Meteorology, University of Reading Email: c.h.oreilly@reading.ac.uk Co-supervisor: Jon Robson, National Centre for Atmospheric Science (NCAS), University of Reading; Adam Scaife, University of Exeter &…Read More ><\/a><\/p>\n","protected":false},"author":63,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"__cvm_playback_settings":[],"__cvm_video_id":"","footnotes":""},"categories":[10,11],"tags":[],"coauthors":[7],"class_list":["post-2636","post","type-post","status-publish","format-standard","hentry","category-cc","category-nh"],"acf":[],"yoast_head":"\nSC2024_45 Exploring mechanisms of multi-year predictability in extratropical climate - SCENARIO<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/research.reading.ac.uk\/scenario\/sc2024_45-exploring-mechanisms-of-multi-year-predictability-in-extratropical-climate\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SC2024_45 Exploring mechanisms of multi-year predictability in extratropical climate - SCENARIO\" \/>\n<meta property=\"og:description\" content=\"Lead Supervisor: Christopher O’Reilly, Department of Meteorology, University of Reading Email: c.h.oreilly@reading.ac.uk Co-supervisor: Jon Robson, National Centre for Atmospheric Science (NCAS), University of Reading; 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