background-error covariance
Impact of different estimations of the background-error covariance matrix on climate reconstructions based on data assimilation
... the background state and the uncertainty of the background state provided by the model simulation are ad- justed by assimilating new ...the background state is obtained from a precomputed model ...
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Evaluation of the Four-dimensional Ensemble-Variational Hybrid Data Assimilation with Self-consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts
... of error covariance within the assimilation window [17], and the resolution of the GFS ensemble covariance is too coarse to properly resolve the error covariance of the TC inner core ...
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Generalized background error covariance matrix model (GEN_BE v2.0)
... the background error covariance matrix (B) is a key component of data assimilation improve- ments, various operational meteorological centers such as the European Centre for Medium-Range Weather ...
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Impact of a time-dependent background error covariance matrix on air quality analysis
... the background error covariance matrix ...a covariance matrix is to estimate it from an ensemble of perturbed assimilation ...resulting covariance matrix is strongly time (hourly and ...
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Background error covariance with balance constraints for aerosol species and applications in variational data assimilation
... for background error covariance (BEC) in data assimilation to spread infor- mation between different variables and produce balance anal- ysis ...
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Construction of non-diagonal background error covariance matrices for global chemical data assimilation
... the background error ...the background error covariance matrix, which contains information about the magnitude of the back- ground errors and about their ...diagonal background ...
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Diagnostics on the cost-function in variational assimilations for meteorological models
... the background error covariance ...ditional covariance parameters following Purser and Parrish (2003) and also make use of recent advances in randomized linear algebra (Aune et ...
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Representing model error in ensemble data assimilation
... model error in the ensemble data assimilation (EDA) sys- ...observation error covariance matrix whilst the model uncertainties are represented by stochastic perturba- tions added to the physical ...
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Comparison of extended and ensemble based Kalman filters with low and high resolution primitive equation ocean models
... ror covariance matrix (generally obtained by applying an em- pirical functions analysis (EOF) on a set of model outputs), the two filters provide the analysis state in two ...analysis error co- variance ...
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A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data
... the background fields and the use of the static background error covariance, can be partially resolved by us- ing radar-retrieved hydrometeors in a preprocessing step and tuning the spatial ...
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BEATBOX v1.0: Background Error Analysis Testbed with Box Models
... (e.g., background error covariance calculations, localizations, inflation methods), the revisit time (or temporal sampling) of a measurement, the variable(s) observed, and straightforward comparisons ...
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On analysis error covariances in variational data assimilation
... analysis error covariance matrix can be used as a basis for computing the background covariances or as a hind-cast solution quality ...analysis error may be related to the errors of the input ...
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Four-dimensional ensemble variational (4D-En-Var) data assimilation for the HIgh Resolution Limited Area Model (HIRLAM)
... flow-dependent background error covariances (tuning factor κ) and the relative weights given to the ensemble and the 3D-Var FGAT components of the background error ...ensemble-based ...
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The effect on food intake and milk production of adding concentrate to the ration of cows fed pasture : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science at Massey University
... Covariance Analysis using Preliminary Period Content as X and of the Comparison Period Content as Y Table 5.. Source Total Block Treatment Error..[r] ...
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Bias and heteroscedastic memory error in self-reported health behavior: an investigation using covariance structure analysis
... The chi-square statistic for CSA models is defined as the optimum value of the above discrepancy function F mul- tiplied by sample size minus one. [19] It compares the model-based (estimated) covariances with those ...
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Merged ozone profiles from four MIPAS processors
... inverse error covariance matrices, the correlations between different profile levels are considered, and the inter- correlations between processors’ errors are evaluated statis- tically and are used in the ...
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Chaotic dynamics and the role of covariance inflation for reduced rank Kalman filters with model error
... unfiltered error, outside of the span of the anomalies, is transmitted by the dynamics into the fil- tered ...unfiltered error. The dynamic upwelling of unfiltered error, characterized by the term ...
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Evaluation of Analysis by Cross-Validation. Part II: Diagnostic and Optimization of Analysis Error Covariance
... uncorrelated with the background error. Right panel, with correlated errors. the analysis error variance) is minimum. Yet, the principles and theory still hold in that case[r] ...
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Robust transceiver design for MIMO relay systems with tomlinson harashima precoding
... In this paper we have investigated the robust design of THP tranceivers for two hop non-regenerative MIMO relay net- works in the presence of channel estimation errors. The source, relay, and destination processors were ...
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Structural and statistical properties of the collocation technique for error characterization
... the error covariance matrix The previously defined sampling of the error matrix in ...plete error covariance matrix can be resolved by the brackets of ...equal error variance ...
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