Session 14 New Post-Processing and Bias-Correction Techniques: Machine Learning, Neural Networks, and Other Techniques

Thursday, 20 July 2023: 11:15 AM-12:30 PM
Madison Ballroom B (Monona Terrace)
Host: 28th Conference on Numerical Weather Prediction
Cochairs:
David John Gagne II, Ph.D.; Ryan A. Sobash and Christina P. Kalb, NCAR, RAL, Boulder, CO

Papers:
11:15 AM
14.1
Prospects for Machine Learning Activity within the United States National Weather Service
Paul J. Roebber, Univ. of Wisconsin at Milwaukee, Whitefish Bay, WI; and S. B. Smith

11:30 AM
14.2
Verification of a Sensitivity-Based Ensemble Subsetting Approach Augmented with Machine-Learning-Based Predictions of Severe Hazards
Austin A. Coleman, CIRES / WPC, Boulder, CO; Texas Tech Univ., Lubbock, TX; and B. C. Ancell

11:45 AM
14.3
A Neural-Network Based MPAS—Shallow Water Model and Its 4D-Var Data Assimilation System
Xiaoxu Tian, Axiom with NOAA/NCEP/EMC, College Park, MD; Tomorrow.io, Boston, MA; and L. Conibear and J. Steward

12:00 PM
14.4
Improvement in Track and Intensity Prediction of Hurricane Florence (2018) Using Hurricane WRF (HWRF) Model with Ensemble Techniques
Liping Liu, North Carolina A&T State Univ., Greensboro, NC; North Carolina A&T State Univ., Greensboro, NC; and A. Tyson, Y. L. Lin, and R. Luettich
Manuscript (2.0 MB)

12:15 PM
14.5
How Should a Numerical Weather Prediction (NWP) Model Forecast be Used: Full Field or Anomaly?
Jun Du, NOAA/NWS/NCEP, College Park, MD

Handout (2.4 MB)

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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