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Four-dimensional variational data assimilation for a limited area model
SMHI, Research Department, Meteorology.ORCID iD: 0000-0001-8376-2729
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2012 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 64, 14985Article in journal (Refereed) Published
Abstract [en]

A 4-dimensional variational data assimilation (4D-Var) scheme for the HIgh Resolution Limited Area Model (HIRLAM) forecasting system is described in this article. The innovative approaches to the multi-incremental formulation, the weak digital filter constraint and the semi-Lagrangian time integration are highlighted with some details. The implicit dynamical structure functions are discussed using single observation experiments, and the sensitivity to various parameters of the 4D-Var formulation is illustrated. To assess the meteorological impact of HIRLAM 4D-Var, data assimilation experiments for five periods of 1 month each were performed, using HIRLAM 3D-Var as a reference. It is shown that the HIRLAM 4D-Var consistently out-performs the HIRLAM 3D-Var, in particular for cases with strong mesoscale storm developments. The computational performance of the HIRLAM 4D-Var is also discussed.

Place, publisher, year, edition, pages
2012. Vol. 64, 14985
Keyword [en]
data assimilation, analysis, numerical weather prediction
National Category
Meteorology and Atmospheric Sciences
Research subject
URN: urn:nbn:se:smhi:diva-490DOI: 10.3402/tellusa.v64i0.14985ISI: 000300396800003OAI: diva2:805007
Available from: 2015-04-14 Created: 2015-04-14 Last updated: 2016-11-21Bibliographically approved

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Gustafsson, NilsLindskog, MagnusThorsteinsson, Sigurdur
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