{"id":33,"date":"2024-08-01T19:06:58","date_gmt":"2024-08-01T19:06:58","guid":{"rendered":"http:\/\/10.197.12.230\/?page_id=33"},"modified":"2025-01-26T17:43:49","modified_gmt":"2025-01-26T17:43:49","slug":"ams2025","status":"publish","type":"page","link":"http:\/\/ucadre.org\/?page_id=33","title":{"rendered":"CADRE presence at AMS2025"},"content":{"rendered":"

CADRE had a large presence at the 2025 AMS Annual Meeting in New Orleans.\u00a0 See CADRE events below and memorable photos<\/a>!<\/span><\/p>\n

Monday, 13 January 2025<\/strong><\/p>\n

29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS).<\/em><\/p>\n

Session 1: Advances in Observing Systems and Data Assimilation<\/em><\/p>\n

(9:45am) Xuguang Wang et al.: Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE)<\/span><\/a><\/p>\n

Session 2: Data Assimilation in the New Era of \u201cData-driven\u201d Earth System Analysis and Prediction<\/em><\/p>\n

(10:45am) Xuguang Wang: Opening Remarks.<\/p>\n

(10:50am) Massimo Bonavita: Data Assimilation and Machine Learning: Evolution or revolution?<\/a><\/p>\n

(11:05am) Daryl T. Kleist: Development of skills needed to prepare for work in data assimilation for Earth system analysis and prediction.<\/a><\/p>\n

(11:20am) Jeffrey S. Whitaker: Ingegrating “data driven” prediction models into DA for NWP.<\/a><\/p>\n

(11:35am) Amos Stephen Lawless: What is the role and opportunity of data assimilation in the Earth system digital twin?<\/a><\/p>\n

(11:50am) Xuguang Wang: Panel Discussion – Data Assimilation in the new era of “data-driven” Earth system analysis and prediction<\/span><\/a><\/p>\n

Tuesday, 14 January 2025<\/strong><\/p>\n

Joint Session with the\u00a029th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)<\/span>\u00a0and\u00a0Fourth Symposium on Community Modeling and Innovation<\/span><\/em><\/p>\n

Joint Session J5: <\/span>Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE) I<\/em><\/p>\n

(8:30am) Yunji Zhang et al.: Assimilating Novel Boundary Layer Observations from Dual-Polarization Radars to Improve Lower-Tropospheric Moisture and Torrential Rainfall Forecast<\/span><\/a><\/p>\n

(8:45am) Thiruvengadam Padmanabhan et al.: Improving Background Error Covariance and Square Root Estimation with the Convolution Neural Network (CNN) in the Local Gain form Ensemble Transform Kalman Filter (LGETKF)<\/a><\/span><\/p>\n

(9:00am) Maria\u00a0 Nikolaitchik et al.: Assessing Structural Differences in Analysis Error Covariance between Ensemble Kalman Filters and Local Particle Filters<\/a><\/span><\/p>\n

(9:15am) Naicheng Xu et al.: Scale-dependent Inflation to Improve Multi-scale Ensemble-based Data Assimilation<\/a><\/span><\/p>\n

(9:30am) Henry Santer et al.: Innovation-based Methods for Estimating Observation Error Variances During Ensemble Data Assimilation<\/a><\/span><\/p>\n

(9:45am) Zhaoxia Pu et al.: Developing a Strongly Coupled Land-Atmosphere Data Assimilation for UFS <\/span>with JEDI<\/span><\/a><\/p>\n

Joint Session J-7: Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE) II<\/span><\/em><\/p>\n

(1:45pm) Aaron Johnson et al.: Improving Mesoscale Land-Atmosphere Coupled Covariance through Physics Parameter Perturbations on Dryline Convection Initiation Cases<\/a><\/span><\/p>\n

(2:00pm) Dylan Major et al.: Evaluation of a Bayesian data assimilation method in an hourly cycled global weather prediction system<\/a><\/span><\/p>\n

(2:15pm) Ethan Schaefer et al.: Evaluating Data Assimilation and Parameter Estimation on the Prediction of Heavy Snowfall during East Coast Winter Storms<\/a><\/span><\/p>\n

(2:30pm) Yongming Wang et al.: Generating Cost-Saving Surrogate Background Ensemble with Diffusion Model for Convective-Scale Ensemble-Based Data Assimilation<\/a><\/span><\/p>\n

(2:45pm) Tsung-Han Li et al.: Using novel observations at the air-sea interface to evaluate the coupled ocean-atmosphere background ensemble covariances from the self-cycled Hurricane Analysis and Forecast System (HAFS)<\/a><\/span><\/p>\n

3pm Poster Sessions<\/em><\/p>\n

Chandler Pruett et al.: Improving tropical cyclogenesis prediction using satellite all-sky radiances data assimilation<\/a><\/span><\/p>\n

Johnathan Stoddard et al.: Assimilation of CYGNSS satellite-derived ocean surface winds and surface heat fluxes into NCEP HAFS system<\/span><\/a><\/p>\n

Malcolm Maas et al.: Using Diffusion Maps to Quantify DA-Induced Imbalances in Mixed-Phase Convective Clouds<\/span><\/a><\/p>\n

Hao-Lun Yeh et al.: Understanding and Quantifying the Exchange between Indian and Atlantic Oceans by Exploring Nonlinear Data Assimilation<\/a><\/span><\/p>\n

Yu-An Chen et al.: Hurricane Dynamics and Predictability: Coupling boundary-layer to cloud observations in a Nonlinear Data Assimilation Framework<\/a> <\/span><\/p>\n

Cheng-Hsuan (Sarah) Lu et al.: Assimilation of satellite aerosol profiles to improve aerosol forecasts in JEDI\/UFS-Chem<\/a>.<\/p>\n

29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS).<\/em><\/p>\n

Session 8: Advances in Data Assimilation Methodology for Nonlinear Multiscale Problems<\/em><\/p>\n

(4:30pm)\u00a0 Peter Jan van Leeuween: Combining nonlinear DA and generative ML methods for fast high-dimensional Bayesian inference<\/a>.<\/p>\n

CADRE AMS Side Meeting (Invitation Only)<\/em><\/p>\n

5:30-7pm, Tuesday, Jan. 14<\/p>\n

Hilton New Orleans Riverside, Jackson Room (Third Floor)<\/p>\n

Goals:<\/p>\n

    \n
  1. In-person meet and greet of CADRE members and collaborators<\/li>\n
  2. Facilitate collaboration among CADRE PIs, students and collaborators<\/li>\n
  3. Broaden cross-agency and community wide activities and collaborations on data assimilation<\/li>\n<\/ol>\n

    Wednesday, 15 January 2025<\/strong><\/p>\n

    New Orleans Ernest N. Morial Convention Center, Main Exhibit Hall, NOAA AMS booth (#201)<\/em><\/p>\n

    (12:20-12:40pm) Xuguang Wang: CADRE and the Data Assimilation Consortium.<\/span><\/p>\n

    3pm Poster Sessions<\/em><\/p>\n

    Nicholas Gasperoni et al.: A Multi-scale valid time shifting approach in an RRFS-like ensemble based data assimilation system<\/a><\/span><\/p>\n

    Daniel Kubalek et al.: Evaluation and Comparison of Machine Learning-Based NWP Model Emulators in Multiscale Ensemble-Based Data Assimilation<\/a><\/span><\/p>\n

    Zhihong Chen et al.: Investigation of Background Ensemble Covariance from Data Driven Hurricane Prediction Models<\/a><\/span><\/p>\n

    Brett Castro et al.: Impacts of Sampling Error in Mesoscale Land-Atmosphere Coupled Covariance on Dryline Convection Initiation Case<\/a><\/span><\/p>\n

    Yue Yang et al.: Impact of Adaptive Observation Error Estimate on Direct Assimilation of GOES-16 ABI All-Sky Radiances within HAFS Self-Cycled Dual-Resolution EnVar DA System<\/a><\/p>\n

    Thursday, 16 January 2025<\/strong><\/p>\n

    29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS). <\/em><\/p>\n

    Session 15A: Data Assimilation in Numerical Weather Prediction<\/em><\/p>\n

    (2:45pm) Yu-Shin Kim et al.: Simultaneous Multi-scale Data Assimilation of GOES-16 ABI All-Sky Radiances for a Dryline Convection Event<\/a><\/span><\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    CADRE had a large presence at the 2025 AMS Annual Meeting in New Orleans.\u00a0 See CADRE events below and memorable photos! Monday, 13 January 2025 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS). Session 1: Advances in Observing Systems and Data Assimilation (9:45am) Xuguang Wang et al.: […]<\/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-33","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/33","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"http:\/\/ucadre.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=33"}],"version-history":[{"count":17,"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/33\/revisions"}],"predecessor-version":[{"id":467,"href":"http:\/\/ucadre.org\/index.php?rest_route=\/wp\/v2\/pages\/33\/revisions\/467"}],"wp:attachment":[{"href":"http:\/\/ucadre.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=33"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}