[PDF] Top 20 On deterministic error analysis in variational data assimilation
Has 10000 "On deterministic error analysis in variational data assimilation" found on our website. Below are the top 20 most common "On deterministic error analysis in variational data assimilation".
On deterministic error analysis in variational data assimilation
... the error of the optimal solution is derived through the errors of the input data using the Hessian of the misfit ...error analysis. The sensitivity of the optimal solution to the input ... See full document
10
A hybrid variational-ensemble data assimilation scheme with systematic error correction for limited-area ocean models
... and structures. In terms of SS for temperature, Exp-Hy2 per- forms best at all the depths, with an overall improvements of 55 % with respect to Exp-Ref while the Exp-Cl1 ver- tically integrated temperature improvement is ... See full document
17
Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother
... observations error covariances should be adequately ...multiple assimilation of the observa- tions introduces spurious correlations in the nonlinear/non- Gaussian case, which entail ... 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
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 ... See full document
13
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
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
Using adjoint sensitivity as a local structure function in variational data assimilation
... background error matrix ...observed data on the initial ...1D variational problem in ...targeted data assimilation scheme focused on a given weather ... See full document
9
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
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
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
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
Hybridizing Bayesian and variational data assimilation for high resolution hydrologic forecasting
... Bayesian data assimilation and variational data ...Bayesian data assimilation creates probabilistic estimates of the state vari- ables in an attempt to also capture their ... See full document
21
A framework for variational data assimilation with superparameterization
... the data assimilation ...the analysis estimates of the large and small scale variables can be computed independently of each other, and the small scale covariance information effectively provides a ... See full document
11
Optimal transport for variational data assimilation
... the data (a priori and observations) and their control and model ...the data, but ...different data so they fit better with each other. Then the data assimilation is performed ... See full document
12
A posteriori error covariances in variational data assimilation
... the variational data assimilation problem for a nonlinear evolution model to identify the model ...the error of the optimal solution is derived through the errors of the input ... See full document
10
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
... of data assimilation (DA) have become an important tool for analysis of complex physical phenomena in various fields of science and ...models, data resulting from instrumental observations and ... See full document
20
Related subjects