Four-dimensional variational data assimilation for a limited area model

Autor: Kristian S. Mogensen, Ole Vignes, Nils Gustafsson, Xiaohua Yang, Xiang-Yu Huang, Sigurdur Thorsteinsson, Tomas Wilhelmsson, Magnus Lindskog
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Zdroj: Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 64, Iss 0, Pp 1-29 (2012)
Tellus A; Vol 64 (2012)
ISSN: 1600-0870
0280-6495
Popis: 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. Keywords: data assimilation; analysis; numerical weather prediction (Published: 17 February 2012) Citation: Tellus A 2012, 64 , 14985, DOI: 10.3402/tellusa.v64i0.14985
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje