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GMAO Seasonal Forecast Ensemble ExplorationGMAO Sub/Seasonal prediction system (S2S) has recently been upgraded. A complete set (1981-2016) of 9-months hindcasts for the previous and current versions (S2S-1.0 and S2S-2.1 respectively) allows for the evaluation of the forecast skill and a study of various characteristics of the ensemble forecasts in particular. We compared the intra-seasonal, interannual and intra-ensemble SST variability of the two systems against the observed. Focusing on the ENSO SST indices, we analyzed the consistency of the forecasts ensembles by studying rank histograms and comparing the ensemble spread with the standard error of the estimate.The S2S-2.1 ensemble appears to be more consistent with observations in Niño1+2 region compared to S2S-1.0, while in the central equatorial Pacific ocean this measure is comparably good for both systems. The S2S-1.0 system tends to be under dispersive, while the new system is under dispersive only at very short lead times, but tends to be over dispersive at long leads and for forecasts verifying in spring in Niño 3.4 region.Overall, the new system has greater skill in predicting ENSO. The evaluation techniques tested here will be applied for testing of the next generation sub/seasonal forecast system under development.
Document ID
20190000050
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Borovikov, Anna
(Science Systems and Applications, Inc. Lanham, MD, United States)
Schubert, Siegfried
(Science Systems and Applications, Inc. Lanham, MD, United States)
Marshak, Jelena
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
January 11, 2019
Publication Date
January 6, 2019
Subject Category
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN64576
Meeting Information
Meeting: American Astronomical Society (AMS) Annual Meeting
Location: Phoenix, AZ
Country: United States
Start Date: January 6, 2019
End Date: January 10, 2019
Sponsors: American Meteorological Society
Funding Number(s)
CONTRACT_GRANT: NNG17HP01C
Distribution Limits
Public
Copyright
Public Use Permitted.
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