- Year Funded: 2014
- Principal Investigators: Xie, Shang-Ping (University of California, San Diego)
- Co-Principal Investigators: Nat Johnson (University of Hawaii), Steven Feldstein (Penn State University), Michelle L'Heureux (NOAA/CPC), Stephen Baxter (NOAA/CPC)
- Program: Modeling, Analysis, Predictions and Projections (MAPP)
We propose to develop new operational temperature and precipitation forecast products over North America for lead times of 3 and 4 weeks that would bridge the gap between NCEP/CPC’s 8-14 day and monthly outlooks and complete a seamless prediction system that links NOAA’s intraseasonal and seasonal forecast products. At the foundation of this proposal, recent work by the PIs demonstrates the feasibility of a simple statistical forecast model that combines information from the Madden-Julian Oscillation (MJO), El Niño-Southern Oscillation (ENSO), and linear temperature trend to generate skillful North American wintertime temperature forecasts in weeks 3 and 4. To build upon this effort, the purpose of this project is (1) to transition this statistical model into an operational week 3 and week 4 temperature and precipitation outlook for all seasons; (2) to determine the feasibility of providing information on extremes at these lead times; (3) to calibrate CFSv2 forecasts with the use of archived reforecasts to evaluate the performance of products for weeks 3 and 4 based on the CFSv2; and (4) to explore extending the model calibration approach to the US National Multi-Model Ensemble (NMME).