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Computing an ensemble of variational data assimilations using its mean and perturbations
Author(s) -
Lorenc Andrew C.,
Jardak Mohamed,
Payne Tim,
Bowler Neill E.,
Wlasak Marek A.
Publication year - 2017
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.2965
Subject(s) - data assimilation , ensemble forecasting , variational analysis , computer science , component (thermodynamics) , algorithm , mathematics , meteorology , artificial intelligence , physics , thermodynamics
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.