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Modelling the Background Error Covariance Matrix: Applicability Over the Maritime Continent

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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

Abstract

The background error covariance matrix is fundamental to any data assimilation system. Since it cannot be explicitly specified, methods have been developed to estimate and model it. These involve certain assumptions which may be invalid over the Maritime Continent. In this chapter, the applicability of the main methods employed to estimate the background covariance matrix and the validity of the main assumptions in modelling it are explored, particularly for the Maritime Continent context. A brief demonstration of the methods over the region, where applicable, is provided to explore possible limitations in their conceptualisation. The manifestation of the main assumptions in the structures of the background error covariance matrix is also demonstrated using pseudo-single observation experiments. Additional comments are included to highlight areas for further work and echo the call for much needed research on modelling the background error covariance matrix for the Maritime Continent.

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  1. Centre for Climate Research Singapore, 36 Kim Chuan Road, Singapore, 537054, Singapore

    Joshua Chun Kwang Lee & Xiang-Yu Huang

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  1. Climate and Energy Systems Engineering, Ewha Womans University, Seoul, Korea (Republic of)

    Seon Ki Park

  2. Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA

    Liang Xu

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Lee, J.C.K., Huang, XY. (2022). Modelling the Background Error Covariance Matrix: Applicability Over the Maritime Continent. In: Park, S.K., Xu, L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Springer, Cham. https://doi.org/10.1007/978-3-030-77722-7_23

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