{"id":1686,"date":"2023-01-30T15:41:57","date_gmt":"2023-01-30T15:41:57","guid":{"rendered":"https:\/\/research.reading.ac.uk\/met-darc\/?page_id=1686"},"modified":"2023-05-16T15:38:07","modified_gmt":"2023-05-16T14:38:07","slug":"darc-nceo-da-2023","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/met-darc\/training\/training-courses\/darc-nceo-da-2023\/","title":{"rendered":"DARC\/NCEO Data Assimilation Training course, Univ. of Reading, 2023"},"content":{"rendered":"<h3>Outline<\/h3>\n<p><a href=\"#TIMETABLE\">Link to the timetable below<\/a><\/p>\n<p>Data assimilation is one of the core activities needed to deliver weather forecasts, and to help understand the environment.\u00a0 This course will provide an introduction to data assimilation methods used in numerical weather prediction, including some of the latest developments. All methods will be derived from a common framework to allow a full overview of their assumptions and applicability. Furthermore, participants will get the opportunity to apply data assimilation methods to small numerical models, in order to obtain hands-on experience with the different methods.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1760 size-large\" src=\"https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2023\/05\/DAcourse2023_lowres-1024x447.jpg\" alt=\"\" width=\"640\" height=\"279\" srcset=\"https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2023\/05\/DAcourse2023_lowres-1024x447.jpg 1024w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2023\/05\/DAcourse2023_lowres-300x131.jpg 300w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2023\/05\/DAcourse2023_lowres-768x335.jpg 768w, https:\/\/research.reading.ac.uk\/met-darc\/wp-content\/uploads\/sites\/48\/2023\/05\/DAcourse2023_lowres.jpg 1151w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/>Full res: <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/0G2A5203_EDT.jpg\">1<\/a>, <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/0G2A5209_EDT.jpg\">2<\/a>, <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/0G2A5211_EDT.jpg\">3<\/a>, <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/0G2A5214_EDT.jpg\">4<\/a>, <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/0G2A5215_EDT.jpg\">5<\/a><\/p>\n<ul>\n<li>When?\n<ul>\n<li>Tuesday 9th \u2013 Friday 12th May 2023.<\/li>\n<\/ul>\n<\/li>\n<li>Where?\n<ul>\n<li>University of Reading, UK (Covid restrictions permitting; an on-line course will be offered if in-person lectures are not possible).<\/li>\n<li>A map of the campus is available <a href=\"https:\/\/static.reading.ac.uk\/content\/PDFs\/files\/Maps\/Whiteknights_campus_map.pdf\">here<\/a>.<\/li>\n<\/ul>\n<\/li>\n<li>Who is it for?\n<ul>\n<li>This course is suitable for postgraduate students, post-doctoral researchers, and weather service employees who would like an introduction to, and a deeper understanding of, data assimilation.<\/li>\n<\/ul>\n<\/li>\n<li>How will the course be delivered?\n<ul>\n<li>The course will be a combination of lectures and computer practicals.<\/li>\n<\/ul>\n<\/li>\n<li>What topics will be covered? (to be finalised)\n<ul>\n<li>Building-blocks of Data Assimilation<\/li>\n<li>Introduction to Data Assimilation<\/li>\n<li>Variational Methods: Theory and practical issues<\/li>\n<li>Computer practicals Variational methods<\/li>\n<li>Ensemble Kalman Filter Methods: Theory and practical issues<\/li>\n<li>Computer practicals Ensemble Kalman filters<\/li>\n<li>Non-Gaussian data assimilation<\/li>\n<li>Hybrid Methods: Theory and practical issues<\/li>\n<li>Computer practicals Hybrid methods<\/li>\n<li>When to use which method<\/li>\n<li>Applications of Data Assimilation<\/li>\n<\/ul>\n<\/li>\n<li>What is required to attend the course?\n<ul>\n<li>Some knowledge of basic calculus, statistics, and linear algebra (i.e. vectors and matrices).\u00a0 Mathematical primers are available below.<\/li>\n<li><strong>A laptop computer, to run the practical sessions<\/strong>.<\/li>\n<\/ul>\n<\/li>\n<li>Who will deliver the course?\n<ul>\n<li><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/lecturers.pdf\">Lectures<\/a> will be delivered by members of DARC including: Alison Fowler, Amos Lawless, Jochen Broecker, Ross Bannister, Sarah Dance, and Yumeng Chen.<\/li>\n<li>Practical sessions will be directed by the lecturers and PhD students.<\/li>\n<\/ul>\n<\/li>\n<li>How much will it cost to attend?\n<ul>\n<li><strong>The course is free to attend!<\/strong>\u00a0 Attendees will need to pay for their own travel, accommodation, and subsistence.<\/li>\n<\/ul>\n<\/li>\n<li>How will I run the practicals?\n<ul>\n<li>Practical examples will be accessed via a Jupyter notebook environment accessed from a web browser on your own laptop.<\/li>\n<\/ul>\n<\/li>\n<li><strong>How do I apply?<\/strong>\n<ul>\n<li>To apply for a place, please send an email to Uzma Saeed (u.saeed@reading.ac.uk), <strong><span style=\"letter-spacing: 0.08px\">by <del datetime=\"2023-04-03T09:57:24+00:00\">Friday 7th<\/del> <\/span>Tuesday<span style=\"letter-spacing: 0.08px\"> 11th April 2023<\/span><\/strong> with the following information\n<ul>\n<li>Your full name and host institution<\/li>\n<li>A short description of your current research interests (around 50-100 words).<\/li>\n<li>Your dietary and accessibility requirements.<\/li>\n<\/ul>\n<\/li>\n<li>Applications will be looked at as they arrive, until all the places have been allocated.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>Supplementary Material<\/h3>\n<ul>\n<li>Campus map <a href=\"https:\/\/static.reading.ac.uk\/content\/PDFs\/files\/Maps\/Whiteknights_campus_map.pdf\">(web page)<\/a><\/li>\n<li>Maths primer <a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/MathsPrimer.pdf\">(pdf)<\/a><\/li>\n<li>Useful linear algebra <a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/Linear_Algebra.pdf\">(pdf)<\/a><\/li>\n<li>Inner and outer products\u00a0<a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/LinearAlgebraExercise-Presentation.pdf\">(pdf)<\/a><\/li>\n<li>Covariances <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/CovMatrices.pdf\">(pdf)<\/a><\/li>\n<li>Basic statistical concepts <a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/stats_nceo.pdf\">(pdf)<\/a><\/li>\n<li>Notation <a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/training\/ecmwf_collaborative_training\/Notation.pdf\">(pdf)<\/a><\/li>\n<li>List of suggested references <a class=\"URL\" href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2022\/References.pdf\">(pdf)<\/a><\/li>\n<li><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/lecturers.pdf\">Lecturer bios<\/a>.<\/li>\n<li>Link to the data assimilation demonstration code (<a href=\"https:\/\/github.com\/darc-reading\/DA-training-2023\">github<\/a>).<\/li>\n<\/ul>\n<h3><a name=\"TIMETABLE\"><\/a><\/h3>\n<h3>Course timetable and lecture\/practical material &#8211; <span style=\"color: #ff6600\">Updated 10\/5\/2023<\/span><\/h3>\n<p>The course will be held mainly in the Brian Hoskins Building (aka Meteorology Building, BH\/Met, building 58), but also in the Agriculture Building (Ag, building 59).\u00a0 These are on the main Whiteknights campus of the University of Reading (<a href=\"https:\/\/static.reading.ac.uk\/content\/PDFs\/files\/Maps\/Whiteknights_campus_map.pdf\">campus map<\/a>). Registration and most lectures will be in room BH\/Met 1L61.<\/p>\n<p>Handouts will <strong>not<\/strong> be provided by the lecturers, but lectures can be downloaded via the on-line timetable below when they become available.<\/p>\n<p>Preliminary time table:<\/p>\n<table style=\"border-collapse: collapse;width: 100%;height: 984px\">\n<tbody>\n<tr style=\"height: 24px\">\n<td style=\"width: 109.99996%;height: 24px\" colspan=\"6\"><strong>Tuesday 9th May 2023<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">09.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">09.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">BH1L61<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Registration<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">09.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">09.45<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Welcome<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Alison Fowler<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/Intro_slides.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 48px\">\n<td style=\"width: 7.48565%;height: 48px\">09.45<\/td>\n<td style=\"width: 7.60041%;height: 48px\">10.30<\/td>\n<td style=\"width: 14.8335%;height: 48px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 48px\">Lecture: Introduction to data assimilation<\/td>\n<td style=\"width: 21.0217%;height: 48px\">Sarah Dance<\/td>\n<td style=\"width: 14.8336%;height: 48px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/DAIntro_Dance.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 7.48565%\">10.30<\/td>\n<td style=\"width: 7.60041%\">10.45<\/td>\n<td style=\"width: 14.8335%;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%\">student introductions<\/td>\n<td style=\"width: 21.0217%\"><\/td>\n<td style=\"width: 14.8336%\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">10.45<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.15<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.15<\/td>\n<td style=\"width: 7.60041%;height: 24px\">12.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Building blocks of DA<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Alison Fowler<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/ingredientsDA_final.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">12:30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">13:30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lunch break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">13.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">15.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Practical: Building blocks of DA<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"https:\/\/github.com\/darc-reading\/DA-training-2023\">github<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">15.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">16.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">16.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">17.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Steps towards assimilating a new observation type (Radar reflectivities)<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Lee Hawkness-smith (Met Office)<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/LeeHS.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">17.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\"><\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">BH Coffee area<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Icebreaker reception<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\"><\/td>\n<td style=\"width: 7.60041%;height: 24px\"><\/td>\n<td style=\"width: 14.8335%;height: 24px\"><\/td>\n<td style=\"width: 44.2251%;height: 24px\"><\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 109.99996%;height: 24px\" colspan=\"6\"><strong>Wednesday 10th May 2023<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">09.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">10.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">BH1L61<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Variational Data Assimilation I and II<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Ross Bannister<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/VarI.pdf\">pdf_I, <\/a><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/VarII.pdf\">pdf_II<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">10.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.45<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Variational Data Assimilation III<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Amos Lawless<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/lawless_var_practicalities.pdf\">pdf_III<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.45<\/td>\n<td style=\"width: 7.60041%;height: 24px\">12.30<\/td>\n<td style=\"width: 14.8335%;text-align: center;height: 24px\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Reanalyses<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Sarah Dance<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/Reanalysis_Dance.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">12.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">13.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lunch break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">13.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">15.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Practical: Var DA<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"https:\/\/github.com\/darc-reading\/DA-training-2023\">github<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">15.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">16.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">16.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">17.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: DA software<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Yumeng Chen<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/DataAssimilationSoftware.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\"><\/td>\n<td style=\"width: 7.60041%;height: 24px\"><\/td>\n<td style=\"width: 14.8335%;height: 24px\"><\/td>\n<td style=\"width: 44.2251%;height: 24px\"><\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 109.99996%;height: 24px\" colspan=\"6\"><strong>Thursday 11th May 2023<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">09.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">BH1L61<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Ensemble Kalman Filter<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Alison Fowler<\/td>\n<td style=\"width: 14.8336%;height: 24px\">\u00a0<a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/EnKF1.pdf\">pdf_I<\/a>, <a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/EnKF2.pdf\">pdf_II<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break (group photo)<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">12.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Machine learning and data assimilation<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Jochen Broecker<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/ML.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">12.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">13.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">Ag 1L06<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lunch break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">13.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">14.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Beyond Gaussian DA <span style=\"color: #ff9900\">(updated time)<\/span><\/td>\n<td style=\"width: 21.0217%;height: 24px\">Jochen Broecker<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/NonLinearDA.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr>\n<td style=\"width: 7.48565%\">14.30<\/td>\n<td style=\"width: 7.60041%\">15.30<\/td>\n<td style=\"width: 14.8335%;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%\">Practical: EnKF<\/td>\n<td style=\"width: 21.0217%\"><\/td>\n<td style=\"width: 14.8336%\"><a href=\"https:\/\/github.com\/darc-reading\/DA-training-2023\">github<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">15.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">16.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">16.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">17.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Practical: EnKF cont<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">1830<\/td>\n<td style=\"width: 7.60041%;height: 24px\"><\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">In Reading town centre (<a href=\"https:\/\/www.zizzi.co.uk\/italian\/restaurants\/reading-oracle\">Zizzi&#8217;s<\/a>)<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Dinner<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\"><\/td>\n<td style=\"width: 7.60041%;height: 24px\"><\/td>\n<td style=\"width: 14.8335%;height: 24px\"><\/td>\n<td style=\"width: 44.2251%;height: 24px\"><\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 109.99996%;height: 24px\" colspan=\"6\"><strong>Friday 12th May 2023<\/strong><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">09.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">10.30<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">BH1L61<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: Hybrid methods<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Ross Bannister<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/HybridI.pdf\">pdf_I, <\/a><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/HybridII.pdf\">pdf_II<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">10.30<\/td>\n<td style=\"width: 7.60041%;height: 24px\">11.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">11.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">13.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Practical: Hybrid methods<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"https:\/\/github.com\/darc-reading\/DA-training-2023\">github<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">13.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">14.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lunch break<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">14.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">15.00<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Lecture: What to use when<\/td>\n<td style=\"width: 21.0217%;height: 24px\">Amos Lawless<\/td>\n<td style=\"width: 14.8336%;height: 24px\"><a href=\"http:\/\/www.met.reading.ac.uk\/~darc\/nceo_training_2023\/WhatToUseWhen_ASL.pdf\">pdf<\/a><\/td>\n<\/tr>\n<tr style=\"height: 24px\">\n<td style=\"width: 7.48565%;height: 24px\">15.00<\/td>\n<td style=\"width: 7.60041%;height: 24px\">15.15<\/td>\n<td style=\"width: 14.8335%;height: 24px;text-align: center\">&#8220;<\/td>\n<td style=\"width: 44.2251%;height: 24px\">Certificates and closing words<\/td>\n<td style=\"width: 21.0217%;height: 24px\"><\/td>\n<td style=\"width: 14.8336%;height: 24px\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Outline Link to the timetable below Data assimilation is one of the core activities needed to deliver weather forecasts, and to help understand the environment.\u00a0 This course will provide an&#8230;<a class=\"read-more\" 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