Data Assimilation of Model Error 120
Model error estimation in ensemble data assimilation
... bias error affecting all state variables in the same way, one measurement is in theory suf- ficient to estimate and account for the ...the model error affecting these state variables, which is ...
13
Representing model error in ensemble data assimilation
... squared error for single forecasts, and give a measure of the average distance between the forecast and observed distribu- tions; the corresponding skill score, the CRPSSs have been computed using a climatological ...
15
On the representation error in data assimilation
... • Error due to unresolved scales and processes is the error associated with spatial and temporal scales, as well as features and processes represented in the observations and not in the NWP ...horizontal ...
19
Accounting for model error in strong-constraint 4DVar data assimilation
... the model state vector. The true model state can be obtained at time t i as x t i = M e {i−1}→i (x t i−1 ) + η i , (38) where the vector of model error η i ∼ N (0, Q i ...erroneous ...
16
Sequential data assimilation for a Lagrangian Space LWR model with error propagations
... from data-driven methods which represent a reliable way to gather real time tra ffic information and make predictions for recurring ...situations. Data Assimilation (DA) consists in considering both ...
7
Quantifying the model structural error in carbon cycle data assimilation systems
... the error of process-based terrestrial models, in particular, for global ...carbon-cycle model before any obser- vational constraint, we propose to analyse the statistics of the prior residuals ...
11
Ensemble Kalman Filter Data Assimilation in the Presence of Large Model Error
... land data assimilation system (LDAS) compiling high-resolution global land surface analyses from mostly satellite ...through assimilation techniques were forced with observation- based atmospheric ...
135
Role of forcing uncertainty and background model error characterization in snow data assimilation
... the model and DA ...All model simulations are conducted using the Noah land surface model version ...Land Data Assimilation System Phase 2 (NLDAS-2; Xia et ...This model integra- ...
11
Parameter estimation using ensemble based data assimilation in the presence of model error
... of model error in realistic applications ...the model pa- rameters, only optimal values for the parameters can be defined that are the ones that maximize the short-range forecast skill or that ...
15
A posteriori error covariances in variational data assimilation
... posteriori error covariances in variational data assimilation ...variational data assimilation for a nonlinear evolution model is formu- lated as an optimal control problem to ...
10
On analysis error covariances in variational data assimilation
... analysis error covariance ma- trix with the use of the quasi-Newton BFGS method [26, ...analysis error covariance matrix in the nonlinear ...analysis error variance depends on the different transport ...
28
On deterministic error analysis in variational data assimilation
... evolution model to identify the initial ...the error of the optimal solution is derived through the errors of the input data using the Hessian of the misfit ...for error analysis. The ...
10
On the interaction of observation and prior error correlations in data assimilation
... Miyoshi et al. (2013) and Terasaki and Miyoshi (2014) showed that the interaction between OECs and the observation operator are very important. In particular, they showed that when the observations are direct ...
15
Representation of Model Error in Convective-Scale Data Assimilation: Additive Noise, Relaxation Methods, and Combinations
... mitigating model error in data assimilation for global NWP ...background error covariance when using additive noise with EnKF for data assimilation with global NWP ...
23
On optimal solution error covariances in variational data assimilation problems
... of model errors is given in ...posterior error fields in DA is given in ...lution model to estimate the model ...solution error is derived through the errors of the input ...solution ...
20
On diagnosing observation error statistics with local ensemble data assimilation
... variational assimilation methods (Desroziers et ...the assimilation are correct. As well as the impact of the assumed error statistics, the diagnostic has further limitations, such as the ...
10
Forecast sensitivity to the observation error covariance in variational data assimilation
... and assimilation of observational data into large-scale atmo- spheric models are well-recognized as being among the most challenging and computationally intensive problems in applied ...sciences. ...
9
Data assimilation in a multi-scale model
... the assimilation of observations into opera- tional coupled seasonal and decadal prediction ...Lorenz-96 model pro- posed in [42] is an ideal testbed for numerical experiments considering the computational ...
24
Analysis error covariance versus posterior covariance in variational data assimilation
... evolution model. In section 4 the equation for analysis error is given through the errors in the input data using the Hessian of the auxiliary DA problem, and the basic relationship between analysis ...
16
Background error covariance estimation for atmospheric CO 2 data assimilation
... background error statistics are based only on the internal uncertainties in the transport model, which are not a realistic representation of the true transport model ...background error ...
15