There were CADRE-related presentations at the Unifying Innovations in Forecasting Capabilities Workshop (UIFCW) 2025 (* indicates CADRE-funded):<\/p>\n
*Benneh, Michael et al. Advancing aerosol data assimilation with the Unified Forecast System (UFS)-Aerosols\/JEDI by assimilating CALIOP aerosol profiles.<\/span><\/p>\n Chen, Zhihong and Xuguang Wang. Investigation of data driven background ensemble covariance from Graphcast toward Hurricane data assimilation and prediction<\/span><\/p>\n Chiao, Sen. Two decades of partnership with NOAA Line Offices: Challenges and Opportunities with the NOAA Center for Atmospheric Sciences and Meteorology (NCAS-M)<\/span><\/p>\n *Johnson, Aaron and Xuguang Wang. Understanding sampling error characteristics in ensemble-based estimates of land-atmosphere coupled background error covariances in a dryline CI case study<\/span><\/p>\n Kim, Yushin and Xuguang Wang. Impact of Assimilating Atmospheric Boundary Layer Observations on the Rapid Intensification of Hurricane Idalia (2023) in the HAFS-JEDI Framework<\/span><\/p>\n Knisely, Joseph. Obstacles for High-Resolution HAFS over the Entire Atlantic Basin.<\/span><\/p>\n *van Leeuwen, Peter Jan. On the efficient implementation of non-Gaussian observation errors in existing DA schemes<\/span><\/p>\n Padmanabhan, Thiruvengadam, Xuguang Wang and Yongming Wang. Improving Background Error Covariance and Square Root Estimation with the Convolution Neural Network (CNN) in the Gain Form Ensemble Transform Kalman filter (GETKF)<\/span><\/p>\n Poterjoy, Jonathan. Toward High-Frequency Bayesian Assimilation in the UFS Using Local Particle Filters<\/span><\/p>\n *Santer, Henry and Jonathan Poterjoy. Non-parametric Estimates of Sea Ice Concentration Observation Errors using CICE6 and Kernel Embeddings of Conditional Distributions<\/span><\/p>\n *Wang, Xuguang. CADRE progress and plans or data assimilation panel discussion<\/span><\/span><\/p>\n *Wang, Yongming and Xuguang Wang. Generating Cost-Saving Surrogate Background Ensemble with GNN-based MAPcast for Estimating Multi-Scale Background Error Covariances<\/span><\/p>\n","protected":false},"excerpt":{"rendered":" There were CADRE-related presentations at the Unifying Innovations in Forecasting Capabilities Workshop (UIFCW) 2025 (* indicates CADRE-funded): *Benneh, Michael et al. Advancing aerosol data assimilation with the Unified Forecast System (UFS)-Aerosols\/JEDI by assimilating CALIOP aerosol profiles. Chen, Zhihong and Xuguang Wang. Investigation of data driven background ensemble covariance from Graphcast toward Hurricane data assimilation and […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-611","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/611","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=611"}],"version-history":[{"count":3,"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/611\/revisions"}],"predecessor-version":[{"id":617,"href":"https:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/611\/revisions\/617"}],"wp:attachment":[{"href":"https:\/\/ucadre.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}