Predictability Assessment and Improving Ensemble Forecasts
Abstract
The PI and Co-I are examining mesoscale predictability with the goal of improving the utility of ensemble forecasts at ranges of 12 hours to 10 days. Our research addresses the issues of initial condition uncertainty (ICU) for mesoscale analyses, calibration of output from ensemble prediction systems (EPSs) by artificial neural networks, and predictability estimates for precipitation and processes that strongly influence precipitation. The PI also serves as Chief Scientist to Dr. Scott Sandgathe for ONR initiative on Predictability in the Atmosphere and Ocean.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 1999
- Accession Number
- ADA629905
Entities
People
- Mary M. Poulton
- Steven L. Mullen
Organizations
- University of Arizona