{"id":12,"date":"2024-08-01T18:59:35","date_gmt":"2024-08-01T18:59:35","guid":{"rendered":"http:\/\/10.197.12.230\/?page_id=12"},"modified":"2026-01-19T19:08:50","modified_gmt":"2026-01-19T19:08:50","slug":"focus-areas","status":"publish","type":"page","link":"https:\/\/ucadre.org\/?page_id=12","title":{"rendered":"Focus Areas"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-174 alignright\" src=\"http:\/\/10.197.12.230\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-1024x983.jpg\" alt=\"\" width=\"530\" height=\"509\" srcset=\"https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-1024x983.jpg 1024w, https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-300x288.jpg 300w, https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-768x737.jpg 768w, https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-1536x1474.jpg 1536w, https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-2048x1966.jpg 2048w, https:\/\/ucadre.org\/wp-content\/uploads\/2024\/12\/CADRE_Concept-updated-624x599.jpg 624w\" sizes=\"auto, (max-width: 530px) 100vw, 530px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>CADRE research is broad in scope, covering 12 distinct research thrusts that ultimately aim at revolutionizing forecasting on time\/space scales ranging from convective weather to subseasonal-to-seasonal.\u00a0 The individual research thrusts focus on both <a href=\"#obs\">advanced assimilation of existing and new observations<\/a> and on <a href=\"#methods\">advanced DA methods and capabilities<\/a>, such as novel data assimilation algorithm development, novel use of ML and AI in data assimilation, and addressing data assimilation issues at the earth system component interfaces. CADRE will perform innovative research, fostering an environment of organic collaboration among the research thrusts on cross-disciplinary issues.<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><strong id=\"obs\">Advanced assimilation of existing and new observations for UFS short-range and medium-range weather, S2S, aerosol and ocean predictions.<\/strong><\/p>\n<p>Assimilation of ground-based, remotely-sensed planetary boundary layer (PBL) and all-sky satellite radiance observations to improve warm-season convective-scale prediction<\/p>\n<ul>\n<li>CADRE Advisor(s): David Stensrud, Yunji Zhang<\/li>\n<li>NOAA Collaborator(s): Dave Turner<\/li>\n<\/ul>\n<p>Satellite data assimilation and observation gaps for tropical cyclogenesis prediction<\/p>\n<ul>\n<li>CADRE Advisor(s): Xingchao Chen, Sen Chiao<\/li>\n<li>NOAA Collaborator(s):\u00a0 Zhan Zhang, Xuejin Zhang, Gopal Sundararaman, Jason Sippel, Bin Liu<\/li>\n<\/ul>\n<p>Enhancing satellite and radar data assimilation for winter weather prediction<\/p>\n<ul>\n<li>CADRE Advisor(s): Steven Greybush<\/li>\n<li>NOAA Collaborator(s):\u00a0 Anders Jensen, Haidao Lin<\/li>\n<\/ul>\n<p>Assimilation of aerosol backscatter profiles to improve UFS GFS aerosol forecast<\/p>\n<ul>\n<li>CADRE Advisor(s): Sen Chiao, Sarah Lu<\/li>\n<li>NOAA Collaborator(s): Cory Martin<\/li>\n<\/ul>\n<p>Implementation and testing of multigrid-Beta filter for radar DA within RRFS JEDI variational framework<\/p>\n<ul>\n<li>CADRE Advisor(s): Nathan Snook<\/li>\n<li>NOAA Collaborator(s): Shun Liu<\/li>\n<\/ul>\n<p>Making use of existing observations and improving ocean predictions through direct assimilation of Lagrangian trajectory data<\/p>\n<ul>\n<li>CADRE Advisor(s): Kayo Ide<\/li>\n<li>NOAA Collaborator(s): Guillaume Vernieres<\/li>\n<\/ul>\n<p style=\"text-align: center;\"><strong id=\"methods\">Advanced data assimilation methods and capabilities for UFS short-range, medium-range and S2S predictions.<\/strong><\/p>\n<p>Attributing model error and improving S2S coupled ocean-atmosphere predictions by weak constraint DA and ML<\/p>\n<ul>\n<li>CADRE Advisor(s): Peter Jan van Leeuwen<\/li>\n<li>NOAA Collaborator(s): Sergey Frolov<\/li>\n<\/ul>\n<p>Non-parametric likelihood estimation for non-Gaussian\/state-dependent observation errors in UFS GFS\/SFS ice and ocean data assimilation<\/p>\n<ul>\n<li>CADRE Advisor(s): Jonathan Poterjoy<\/li>\n<li>NOAA Collaborator(s): Neil Barton<\/li>\n<\/ul>\n<p>Strongly coupled land-atmosphere DA for S2S prediction<\/p>\n<ul>\n<li>CADRE Advisor(s): Zhaoxia Pu<\/li>\n<li>NOAA Collaborator(s): Clara Draper, Daryl Kleist<\/li>\n<\/ul>\n<p>ML and AI based cost-efficient methods to improve RRFS multiscale ensemble DA<\/p>\n<ul>\n<li>CADRE Advisor(s): Xuguang Wang<\/li>\n<li>NOAA Collaborator(s): Sergey Frolov, David Dowell<\/li>\n<\/ul>\n<p>Improving land-atmosphere coupled covariance for RRFS strongly coupled data assimilation to improve CONUS weakly forced convection initiation prediction<\/p>\n<ul>\n<li>CADRE Advisor(s): Xuguang Wang<\/li>\n<li>NOAA Collaborator(s): Clara Draper, Terra Ladwig, Mike Barlage<\/li>\n<\/ul>\n<p>Non-Gaussian satellite radiance observation error estimation and implementation in existing GFS and RRFS DA<\/p>\n<ul>\n<li>CADRE Advisor(s): Peter Jan van Leeuwen<\/li>\n<li>NOAA Collaborator(s): Amanda Back, Ming Hu, Liaofan Lin<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; CADRE research is broad in scope, covering 12 distinct research thrusts that ultimately aim at revolutionizing forecasting on time\/space scales ranging from convective weather to subseasonal-to-seasonal.\u00a0 The individual research thrusts focus on both advanced assimilation of existing and new observations and on advanced DA methods and capabilities, such as novel data assimilation algorithm development, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width.php","meta":{"footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/12","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ucadre.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12"}],"version-history":[{"count":20,"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/12\/revisions"}],"predecessor-version":[{"id":709,"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/12\/revisions\/709"}],"wp:attachment":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}