Variational assimilation
Ensemble variational assimilation as a probabilistic estimator – Part 2: The fully non-linear case
... ensemble assimilation methods, in terms of both intrinsic quality of the results and of cost ...semble assimilation, in particular in terms of their capability of achieving Bayesian estimation, will ...
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Ensemble variational assimilation as a probabilistic estimator – Part 1: The linear and weak non-linear case
... Data assimilation is considered as a problem in Bayesian estimation, ...an assimilation on the perturbed ...ensemble variational assimilation (EnsVAR), also known as ensemble of data ...
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Variational assimilation of streamflow into operational distributed hydrologic models: effect of spatiotemporal scale of adjustment
... via variational assimilation de- graded streamflow prediction at interior ...ent assimilation strategies to reduce the degrees of freedom associated with the ...moisture assimilation. Chen et ...
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Variational assimilation of altimeter data into a non-linear ocean model: temporal strategies
... In this paper, the question of the use of variational assimilation in a mid- latitudes ocean model is addressed for the case of altimetric observations. In this context, a key issue is to assess the ability ...
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Variational assimilation of Lagrangian trajectories in the Mediterranean ocean Forecasting System
... three-dimensional variational assimilation of Lagrangian data with a primitive-equation ocean model is ...The assimilation scheme was im- plemented in the Mediterranean ocean Forecasting System and ...
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Variational assimilation of remotely sensed flood extents using a 2 D flood model
... data assimilation methods, among others – has signif- icantly contributed to the advances of integrating remotely sensed data from space with flood models ...
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On deterministic error analysis in variational data assimilation
... Remark. We have considered a constant weight on the initial condition penalty in the objective function S. This implies white noise. It is not a limitation of the method, it is a simplification for ease of presentation. ...
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Variational data assimilation with the YAO platform for hydrological forecasting
... Variational assimilation (4D-VAR) (Le Dimet et ...variables), assimilation seeks to infer the physical variables that led to the observation ...
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Variational Data Assimilation in the Mathematical Model of the Black Sea Dynamics
... the variational data assimilation ...of variational assimilation of the sea surface temperature data is ...the variational assimilation of the satellite-derived observations, the ...
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Improvement of operational flood forecasting through the assimilation of satellite observations and multiple river flow data
... data assimilation in hydrology has been demonstrated by several studies ...data assimilation in distributed hydrologic models for operational flood forecasts is limited by many issues: non-linear and ...
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A variational formulation for translation and assimilation of coherent structures
... But, assimilation tech- niques must remain simple in order to deal effectively with numerical models that have very high degrees of ...and variational) to take dis- placement errors into ...
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4DVAR assimilation of GNSS zenith path delays and precipitable water into a numerical weather prediction model WRF
... dimensional variational assimilation (4DVAR) shows that the impact of GPS zenith total delay (ZTD) on forecasts is different in win- ter (improving pressure), spring (reducing surface humid- ity root mean ...
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Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother
... Keeping the minimization starting point in a global minimum basin of attraction is constraining because, with a chaotic model, the number of local minima may increase exponen- tially with the data assimilation ...
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Background error covariance with balance constraints for aerosol species and applications in variational data assimilation
... The developed method for incorporating balance con- straints in aerosol data assimilation can be employed in other areas or other applications for different aerosol mod- els. For the aerosol variables in different ...
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A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5)
... data assimilation, Reichle et ...for assimilation with a radiative transfer ...data assimilation techniques, were ...data assimilation procedure that is able to extract useful information on ...
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Implementation of aerosol assimilation in Gridpoint Statistical Interpolation (v. 3.2) and WRF-Chem (v. 3.4.1)
... NOAA/ESRL (Earth System Research Laboratory) and, we believe, it is well tested and mature enough to be made avail- able for wider use. We provide a package that, in addition to augmented GSI, consists of software for ...
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Four-dimensional ensemble-variational data assimilation for global deterministic weather prediction
... Abstract. The goal of this study is to evaluate a version of the ensemble-variational data assimilation approach (EnVar) for possible replacement of 4D-Var at Environment Canada for global deterministic ...
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Seasonal and Interannual Variability of the Gulf of Maine Coastal Circulation and its Couplings with Regional Harmful Algal Blooms.
... data assimilation. .............................................................................................................. 185 Figure 4.5. Spatial distribution of the temporal SST Root mean square error ...
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Optimal solution error covariance in highly nonlinear problems of variational data assimilation
... of variational data assimilation (DA) for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition, boundary con- ditions and/or model ...
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Optimal transport for variational data assimilation
... function, and they offer promising results. Our contribution is in essence similar to them in the fact that the Wasserstein dis- tance is proposed in place of the L 2 distance. Looking more closely, we investigate a ...
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