Variational assimilation in combination with the regularization method for sea level pressure retrieval from QuikSCAT scatterometer data I: Theoretical frame construction

doi:10.1088/1674-1056/20/11/119201

Abstract A new method of constructing a sea level pressure field from satellite microwave scatterometer measurements is presented. It is based on variational assimilation in combination with a regularization method using geostrophic vorticity to construct a sea level pressure field from scatterometer data that are given in this paper, which offers a new idea for the application of scatterometer measurements. Firstly, the geostrophic vorticity from the scatterometer data is computed to construct the observation field, and the vorticity field in an area and the sea level pressure on the borders are assimilated. Secondly, the gradient of sea level pressure (semi-norm) is used as the stable functional to educe the adjoint system, the adjoint boundary condition and the gradient of the cost functional in which a weight parameter is introduced for the harmony of the system and the Tikhonov regularization techniques in inverse problem are used to overcome the ill-posedness of the assimilation. Finally, the iteration method of the sea level pressure field is developed.

Keywords: scatterometer sea level pressure variational assimilation regularization

Received: 24 February 2011
Revised: 20 July 2011
Accepted manuscript online:

PACS:	92.60.Fm	(Boundary layer structure and processes)
	92.60.Gn	(Winds and their effects)
	92.60.Qx	(Storms)
	92.60.Ta	(Electromagnetic wave propagation)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 41175025).

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Zhang Liang(张亮), Huang Si-Xun(黄思训), Shen Chun(沈春), and Shi Wei-Lai(施伟来) Variational assimilation in combination with the regularization method for sea level pressure retrieval from QuikSCAT scatterometer data I: Theoretical frame construction 2011 Chin. Phys. B 20 119201

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Variational assimilation in combination with the regularization method for sea level pressure retrieval from QuikSCAT scatterometer data I: Theoretical frame construction

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