Computing an ensemble of variational data assimilations using its mean and perturbations. (8th February 2017)

• Record Type: Journal Article
• Authors: Lorenc, Andrew C.; Jardak, Mohamed; Payne, Tim; Bowler, Neill E.; Wlasak, Marek A.
• Is Part Of: Quarterly journal of the Royal Meteorological Society. Volume 143:Number 703(2017)
• Page Start: 798
• Page End: 805
• Publication Date: 2017-02-08
• Subjects: Mean–Pert -- ensemble of variational data assimilation -- EDA -- hybrid VAR; Meteorology -- Periodicals; 551.5
• DOI: 10.1002/qj.2965
• Languages: English
• ISSNs: 0035-9009

Abstract

Abstract : We show how to replace an ensemble of variational data assimilation minimizations by minimizations for the ensemble mean and the perturbations from it. Tests using the Met Office system show that this Mean–Pert method can give practically identical results at much reduced cost. This makes it a good candidate component when designing a cost‐effective system for hybrid ensemble‐variational data assimilation for numerical weather prediction.