Session 1 New and Improved Data Assimilation Tools and Methods

Tuesday, 8 January 2019: 8:30 AM-9:15 AM
North 231C (Phoenix Convention Center - West and North Buildings)
Host: Seventh AMS Symposium on the Joint Center for Satellite Data Assimilation
Chair:
Benjamin Johnson, UCAR, JCSDA, College Park, MD

New and Improved Data Assimilation Tools and Methods

Papers:
8:30 AM
1.1
Convergence Issues in the Estimation of Interchannel Correlated Observation Errors in Infrared Radiance Data
Pierre Gauthier, Université du Québec à Montréal (UQAM), Montréal, QC, Canada; and P. Du, S. Heilliette, and L. Garand
8:45 AM
1.2
A Fast Microwave Ocean Surface Emissivity and BRDF Model Based on Successive Machine Learning in Subphysical Spaces
Ming Chen, Univ. of Maryland, College Park, College Park, MD; and K. J. Garrett and T. Zhu

9:00 AM
1.3
Predicting Forecast Sensitivity: Observation Impact with Machine Learning
Francois Vandenberghe, JCSDA, Boulder, CO; and G. Bolmier, T. Auligné, R. B. Mahajan, and D. Holdaway
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner