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|Authors: ||Bonazzi, A.*|
Milliff, R. F.*
Wikle, C. K.*
Berliner, L. M.*
|Title: ||Ocean Ensemble Forecasting, Part II: Mediterranean Forecast System Response|
|Issue Date: ||2009|
|Keywords: ||Ocean Ensemble Forecasting|
|Abstract: ||This paper analyzes the ocean forecast response to surface vector wind (SVW) distributions
generated by a Bayesian Hierarchical Model (BHM) developed in Part I (Milliff et al., 2009).
A new method for Ocean Ensemble Forecasting (OEF), so-called BHM-SVW-OEF, is described.
BHM-SVW realizations are used to produce and force perturbations in the ocean
state during 14-day analysis and 10-day forecast cycles of the Mediterranean Forecast System
(MFS). The BHM-SVW-OEF ocean response spread is amplified at the mesoscales and
pycnocline of the eddy field. The new method is compared to an ensemble response forced by
ECMWF Ensemble Prediction System (EEPS) surface winds, and to an ensemble forecast
started from perturbed initial conditions derived from an ad hoc Thermocline Intensified
Random Perturbation (TIRP) method. The EEPS-OEF shows spread at the basin scales
while the TIRP-OEF response is mesoscale intensified as in the BHM-SVW-OEF response.
TIRP-OEF perturbations fill more of the MFS domain while the BHM-SVW-OEF perturbations
are more location-specific, concentrating ensemble spread at the sites where the ocean
model response to uncertainty in the surface wind forcing is largest. The BHM-SVW-OEF
method offers a practical and objective means for producing short-term forecast spread by
modeling surface atmospheric forcing uncertainties that have maximum impact at the ocean
|Appears in Collections:||Manuscripts|
03.01.04. Ocean data assimilation and reanalysis
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|PartII-1.pdf||2.82 MB||Adobe PDF||View/Open
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