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Adaptive Localization for Satellite Radiance Observations in an Ensemble Kalman Filter
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2020
Source: Journal of Advances in Modeling Earth Systems, 12(8)
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Journal Title:Journal of Advances in Modeling Earth Systems
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Description:Localization is essential to effectively assimilate satellite radiances in ensemble Kalman filters. However, the vertical location and separation from a model grid point variable for a radiance observation are not well de fined, which results in complexities when localizing the impact of radiance observations. An adaptive method is proposed to estimate an effective vertical localization independently for each assimilated channel of every satellite platform. It uses sample correlations between ensemble priors of observations and state variables from a cycling data assimilation to estimate the localization function that minimizes thesampling error. The estimated localization functions are approximated by three localization parameters: the localization width, maximum value, and vertical location of the radiance observations. Adaptively
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Source:Journal of Advances in Modeling Earth Systems, 12(8)
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ISSN:1942-2466;1942-2466;
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Rights Information:CC BY-NC
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Compliance:Library
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