[PDF] Top 20 On analysis error covariances in variational data assimilation
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On analysis error covariances in variational data assimilation
... step search routine is limited by 20. The BFGS algorithm is embedded into the outer loop. This allows us to restart the minimization process from the latest approxima- tion of the sought control u if iterations are ... See full document
28
A hybrid variational-ensemble data assimilation scheme with systematic error correction for limited-area ocean models
... In Fig. 4, the time evolution of temperature and salinity standard deviations computed from the ensemble members are shown from the surface to 1000 m depth. At all depths and for both temperature and salinity, the ... See full document
17
Using adjoint sensitivity as a local structure function in variational data assimilation
... the modified 3D-Var is clearly larger. The impact of the as- similation of one observation on the forecast field itself is shown in Fig. 6. We see from this figure that the effect of the assimilation of a single ... See full document
9
Variational Data Assimilation in the Mathematical Model of the Black Sea Dynamics
... four-dimensional variational assimilation of observational data [8, ...four-dimensional variational assimilation (4D-Var) and the use of more frequent observational data can ... See full document
13
Variational data assimilation with the YAO platform for hydrological forecasting
... The effect of these decision variables on the quality of forecasting was studied. The Nash criterion (Nash and Sutcliffe 1970) was considered to evaluate the forecasting performance. In addition, we have evaluated the ... See full document
6
Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother
... model data assimilation ...model error would generally forbid the use of very long DAWs as sometimes considered in this ...ensemble variational data assimi- lation schemes and their ... See full document
20
Simplified aerosol modeling for variational data assimilation
... The simplified model shows some differences in the sen- sitivities between the tangent linear model and the SPLA when perturbing the emission fluxes and chemical lifetime rate by 10%. These differences illustrate the ... See full document
17
Improved variational methods in statistical data assimilation
... the variational approximation, which here is shown to con- sist of small perturbations when the resolution of the model error term in the action is increased; namely, R f ... See full document
9
Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... after assimilation with the use of second-order adjoint were done by Le Dimet et ...for variational data as- similation problems aimed at restoration of initial condition, where sensitivity with ... See full document
11
Analysis of data assimilation schemes
... for data streams which are discrete in time [11] and continuous in time ...initial error and, after enough time has elapsed, estimate the entire system state to within an accuracy level determined by the ... See full document
131
Four-dimensional ensemble-variational data assimilation for global deterministic weather prediction
... ensemble-variational data assimilation approach (EnVar) for possible replacement of 4D-Var at Environment Canada for global deterministic weather ...ensemble covariances, obtained from an ... See full document
14
Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation
... forecast error covari- ance in data assimilation is to conduct a single observa- tion experiment (Thepaut et ...The analysis increments (i.e., analysis minus guess) from such an ... See full document
6
Construction of Temperature and Salinity Climatology for the U. S. East Coastal Ocean and Intra-American Sea using Data Interpolating Variational Analysis.
... monthly error map for the surface temperature climatology in Feb, May, Aug and Nov (a, b, c, ...monthly error map for the surface salinity climatology in Feb, May, Aug and Nov (a, b, c, ... See full document
73
Variational assimilation of altimeter data into a non-linear ocean model: temporal strategies
... ational assimilation of altimeter data into such a non-linear ocean model is not obtained by a straight application of the method although the situation is much propitious as only simulated data are ... See full document
37
Evaluation of the Four-dimensional Ensemble-Variational Hybrid Data Assimilation with Self-consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts
... the distribution and magnitude of F in HWRF-OPR1 are adjusted significantly after the 3-h forecast (Fig. 3d). As a result, the gradient wind balance is established in the inner core region with radius < 50 km, and the ... See full document
22
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 ...input ... See full document
8
On optimal solution error covariances in variational data assimilation problems
... Below we refer to Fig. 6(right). Let us assume that the observation system includes a single sensor and the initial condi- tion satisfies to (6.2). First we put the sensor at the location x ¼ 0:5, where the field ... See full document
20
Background error covariance with balance constraints for aerosol species and applications in variational data assimilation
... tional data assimilation system, a few methods have been de- veloped to estimate and simplify the expression of the BEC, such as the analysis of innovations, the NMC (National Me- teorological ... See full document
16
Analysis error covariance versus posterior covariance in variational data assimilation
... The error in the optimal solution (or ‘analysis error’) is naturally defined as a difference between the solution u and the true state u t ; this error is quantified by the analysis ... See full document
16
Data assimilation of Argo profiles in a northwestern Pacific model
... background-error covariances for assimilating Argo profiles, an oceanographic three-dimensional variational (3DVAR) data assimilation scheme was developed for the northwestern Pacific ... See full document
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