Topic: Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE) I (105th AMS Annual Meeting)

Tuesday, 14 January 2025: 8:30 AM-10:00 AM

222 (New Orleans Ernest N. Morial Convention Center)

Hosts: (Joint between the 29th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS); and the Fourth Symposium on Community Modeling and Innovation )

Chair:

Xuguang Wang, University of Oklahoma, School of Meteorology, Norman, OK

CoChair:

Jonathan Poterjoy

This session welcomes abstracts on data assimilation research and development by students and early career scientists participating in the NOAA-funded Multi-University Consortium for Advanced Data Assimilation Research and Education (CADRE). The topics include data assimilation methodology development, assimilation of new observations, advancement of data assimilation from local sub-hourly to global Sub-seasonal to Seasonal (S2S) scales, advancement of data assimilation for the prediction of an individual earth system component and the coupled earth system.

Papers:

8:30 AM

J5.1

Assimilating Novel Boundary Layer Observations from Dual-Polarization Radars to Improve Lower-Tropospheric Moisture and Torrential Rainfall Forecast

Yunji Zhang, PhD, Pennsylvania State Univ., University Park, PA; and D. J. Stensrud, C. L. Comer, and B. Stouffer

8:45 AM

J5.2

Improving Background Error Covariance and Square Root Estimation with the Convolution Neural Network (CNN) in the Local Gain form Ensemble Transform Kalman Filter (LGETKF)

Thiruvengadam Padmanabhan, PhD, Univ. of Oklahoma, Norman, OK; and X. Wang and Y. Wang

9:00 AM

J5.3

Assessing Structural Differences in Error Analysis Covariance between Ensemble Kalman Filters and Local Particle Filters