Session Ensemble and Multimodel Forecasting


Description:

This session seeks papers on Ensemble and Multimodel Forecasting, including Postprocessing and Decision support


Papers:
Development of a Model Blending Capability for the United States Air Force*
Timothy Bonin, MIT Lincoln Laboratory, Lexington, MA; and P. M. Stepanian, D. Morse, and J. C. Pena

Probabilistic Prediction of Agricultural Spray Drift and Deposition Using a LES Ensemble
John Manobianco, BASF, Newtown, PA; and D. J. W. Zack

Post-Processing of the National Blend of Models Daily Maximum and Minimum Temperature Percentiles to Obtain a Single Value Solution
David E. Rudack, NWS, Silver Spring, MD; NWS, Silver Spring, MD

Evaluation of QPF from NCAR's 5.5 and 8.5 Day Convection-Allowing Ensembles Against WPC and Operational Guidance
Benjamin S. Albright, SAIC, Gaithersburg, MD; and J. A. Nelson Jr. and C. S. Schwartz

Spatial Aligned Mean Ensemble Consensus Method Applied to CAM Precipitation Forecasts in the 2023 FFaIR Experiment
Chang Jae Lee, CAPS, Norman, OK; and K. A. Brewster and P. Spencer

A Visibility Risk-Assessment Tool for Maritime Operations
Kathryn Lynn Verlinden, PhD, Applied Ocean Sciences, Springfield, VA

Optimizing Downscaling Strategy through Selective Culling of NOAA Operational Forecast Ensemble for Cost-effective Prediction
Guangwei Li, University of Maryland at college park, Greenbelt, MD; Univ. of Maryland, College Park, College Park, MD; and C. Sun and X. Z. Liang

Submission Deadline: Thursday, 31 August 2023



See more of: 28th Conference on Probability and Statistics
<< Previous Topic | Next Topic >>