{"id":3687,"global_id":"wordpress.cels.anl.gov\/lans-seminars?id=3687","global_id_lineage":["wordpress.cels.anl.gov\/lans-seminars?id=3687"],"author":"976","status":"publish","date":"2025-01-27 11:37:54","date_utc":"2025-01-27 17:37:54","modified":"2025-01-27 11:37:54","modified_utc":"2025-01-27 17:37:54","url":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/event\/lans-seminar-158\/","rest_url":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/wp-json\/tribe\/events\/v1\/events\/3687","title":"LANS Seminar","description":"<p><strong>Seminar Title: <\/strong>Downscaling with Uncertainty using Data-Driven Surrogate Models<\/p>\n<p><strong>Speaker: <\/strong>Philip Dinenis, Postdoctoral Researcher, Mathematics and Computer Science, Argonne National Laboratory<\/p>\n<p><strong>Date\/Time:<\/strong> Thursday, January 30, 2025\/ 2:30 PM \u2013 3:30 PM (In-Person)<br \/>\n<strong>Location:\u00a0<\/strong><em>See Meeting URL on the cels-seminars website which will require an Argonne login.<\/em><\/p>\n<p class=\"p1\"><strong>Description: <\/strong>Super-resolution of climate models (also known as downscaling) is key in prediction and planning for critical infrastructure. The relationship between fine-scale and coarse-scale information is complex and often not well captured with traditional statistical or machine-learning techniques, especially in the context of extreme events. Incorporating knowledge about the physics of the system can increase accuracy but at a computational cost. The advent of data-driven surrogates, however, has shown great promise in accelerating prediction. We utilize one such model with a data assimilation framework to carry out super-resolution with uncertainty quantification on the fine-scale prediction.<\/p>\n<p><strong>Bio: <\/strong>Philip Dinenis is a postdoctoral researcher in Mathematics and Computer Science at Argonne National Laboratory. He is interested in large-scale statistics and optimization problems in atmospheric sciences. He completed his PhD in Applied Mathematics at Columbia University in 2023.<\/p>\n<p class=\"p1\"><em>Please note that the meeting URL for this event can be seen on the cels-seminars website which requires an Argonne login.<\/em><\/p>\n<div class=\"tribe-events-single-event-description tribe-events-content\">\n<p>See all upcoming talks at\u00a0<a href=\"https:\/\/www.anl.gov\/mcs\/lans-seminars\">https:\/\/www.anl.gov\/mcs\/lans-seminars<\/a><\/p>\n<\/div>","excerpt":"","slug":"lans-seminar-158","image":false,"all_day":false,"start_date":"2025-01-30 14:30:00","start_date_details":{"year":"2025","month":"01","day":"30","hour":"14","minutes":"30","seconds":"00"},"end_date":"2025-01-30 15:30:00","end_date_details":{"year":"2025","month":"01","day":"30","hour":"15","minutes":"30","seconds":"00"},"utc_start_date":"2025-01-30 20:30:00","utc_start_date_details":{"year":"2025","month":"01","day":"30","hour":"20","minutes":"30","seconds":"00"},"utc_end_date":"2025-01-30 21:30:00","utc_end_date_details":{"year":"2025","month":"01","day":"30","hour":"21","minutes":"30","seconds":"00"},"timezone":"America\/Chicago","timezone_abbr":"CST","cost":"","cost_details":{"currency_symbol":"$","currency_code":"USD","currency_position":"prefix","values":[]},"website":"","show_map":false,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Seminar","slug":"seminar","term_group":0,"term_taxonomy_id":2,"taxonomy":"tribe_events_cat","description":"","parent":0,"count":758,"filter":"raw","id":2,"urls":{"self":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/wp-json\/tribe\/events\/v1\/categories\/2","collection":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/wp-json\/tribe\/events\/v1\/categories"}}],"tags":[],"venue":{"id":3689,"author":"976","status":"publish","date":"2025-01-27 11:37:23","date_utc":"0000-00-00 00:00:00","modified":"2025-01-27 11:37:23","modified_utc":"0000-00-00 00:00:00","url":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/venue\/https-wordpress-cels-anl-gov-cels-seminars-event-lans-seminar-168\/","venue":"https:\/\/wordpress.cels.anl.gov\/cels-seminars\/event\/lans-seminar-168\/","slug":"https-wordpress-cels-anl-gov-cels-seminars-event-lans-seminar-168","json_ld":{"@type":"Place","name":"https:\/\/wordpress.cels.anl.gov\/cels-seminars\/event\/lans-seminar-168\/","description":"","url":"","address":{"@type":"PostalAddress"},"telephone":"","sameAs":""},"show_map":false,"show_map_link":false,"global_id":"wordpress.cels.anl.gov\/lans-seminars?id=3689","global_id_lineage":["wordpress.cels.anl.gov\/lans-seminars?id=3689"]},"organizer":[],"custom_fields":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"LANS Seminar","description":"&lt;p&gt;Seminar Title: Downscaling with Uncertainty using Data-Driven Surrogate Models Speaker: Philip Dinenis, Postdoctoral Researcher, Mathematics and Computer Science, Argonne National Laboratory Date\/Time: Thursday, January 30, 2025\/ 2:30 PM \u2013 3:30 PM (In-Person) Location:\u00a0See Meeting URL on the cels-seminars website which &hellip; &lt;a href=&quot;https:\/\/wordpress.cels.anl.gov\/lans-seminars\/event\/lans-seminar-158\/&quot;&gt;Continue reading &lt;span class=&quot;meta-nav&quot;&gt;&rarr;&lt;\/span&gt;&lt;\/a&gt;&lt;\/p&gt;\\n","url":"https:\/\/wordpress.cels.anl.gov\/lans-seminars\/event\/lans-seminar-158\/","eventAttendanceMode":"https:\/\/schema.org\/OfflineEventAttendanceMode","eventStatus":"https:\/\/schema.org\/EventScheduled","startDate":"2025-01-30T14:30:00-06:00","endDate":"2025-01-30T15:30:00-06:00","location":{"@type":"Place","name":"https:\/\/wordpress.cels.anl.gov\/cels-seminars\/event\/lans-seminar-168\/","description":"","url":"","address":{"@type":"PostalAddress"},"telephone":"","sameAs":""},"performer":"Organization"}}