Funded Projects for FY18 (funding period:
July 2018 - June 2020)
Chidong Zhang and Wanqiu Wang
A New Technique for Improved MJO Prediction
Andrew Robertson, Michael Tippett, Nicholas Vigaud, Dan
C. Collins
Testing, refinement and demonstration of probabilistic multi-model,
calibrated subseasonal global forecast products
Benjamin Kirtman, Leo Siqueira, Robert J. Burgman, David
G. DeWitt
Sensitivity of NMME Seasonal Predictions to Ocean Eddy Resolving Coupled
Models
Jadwiga Richter, Judith Perlwitz, Dan C. Collins,
Nicholas Pedatella, Joseph Tribbia, Julio Bacmeister
Subseasonal to Seasonal Prediction with NCAR’s CESM2-WACCM
Dan C. Collins, Q.J. Wang, Andrew Schepen, Sarah Strazzo,
Liwei Jia, Emily Becker
A Hybrid Statistical-Dynamical System for the Seamless Prediction of Daily
Extremes and Subseasonal to Seasonal Climate Variability
Carl Schreck, Stephen Baxter, Matthew Janiga
Operational transition of novel statistical–dynamical forecasts for tropical
subseasonal-toseasonal drivers
Elizabeth Barnes, Eric Maloney, Daniel Harnos, Laura
Ciasto
Skillfully Predicting Atmospheric Rivers and Their Impacts in Weeks 2-5
Based on the State of the MJO and QBO Skillful empirical subseasonal
prediction of landfalling atmospheric river activity using the Madden-Julian
Oscillation and the Quasi-biennial Oscillation
