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RISA Monte Carlo Background Covariance Localization Method for an Ensemble–Variational Assimilation System
Publisher: American Meteorological Society
Abstract: AbstractSpurious long-distance correlations in estimates of the background error covariance can deteriorate the performance of ensemble-based data assimilation methods. In this study, a localization method, called Monte ...
A Noninterpolated Estimate of Horizontal Spatial Covariance from Nonorthogonally and Irregularly Sampled Scalar Velocities
Publisher: American Meteorological Society
Abstract: AbstractThis paper presents a least squares method to estimate the horizontal (isotropic or anisotropic) spatial covariance of two-dimensional orthogonal vector components, without introducing an intervening mapping step ...
Do Nonorthogonally and Irregularly Sampled Scalar Velocities Contain Sufficient Information to Reconstruct an Orthogonal Vector Current Field?
Publisher: American Meteorological Society
Abstract: AbstractThis paper addresses how well a two-dimensional orthogonal vector current field can be reconstructed from a set of nonorthogonally and irregularly sampled scalar velocity data. High-frequency radar (HFR)-derived ...
The M2 Internal Tide off Oregon: Inferences from Data Assimilation
Publisher: American Meteorological Society
Abstract: A linearized baroclinic, spectral-in-time tidal inverse model has been developed for assimilation of surface currents from coast-based high-frequency (HF) radars. Representer functions obtained as a part of the generalized ...
The M2 Internal Tide off Oregon: Inferences from Data Assimilation
Publisher: American Meteorological Society
Abstract: A linearized baroclinic, spectral-in-time tidal inverse model has been developed for assimilation of surface currents from coast-based high-frequency (HF) radars. Representer functions obtained as a part of the generalized ...