[PDF] Top 20 Optimal transport for variational data assimilation
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Optimal transport for variational data assimilation
... Data assimilation methods are divided into three distinct ...are variational data assimilation methods based on optimal control ...on variational data ... See full document
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A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation
... 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 prior ... See full document
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Quasi-static ensemble variational data assimilation: a theoretical and numerical study with the iterative ensemble Kalman smoother
... An alternative is to keep S = 1 but use all observations in the DAW and, consequently, relax the condition K = L − S + 1. This way, observations are assimilated several times. This is done in the MDA IEnKS (Bocquet and ... See full document
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A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation
... Multigrid methods were initially developed for solving elliptic partial differential equations (PDEs) [3, 5] and have since been extended for solving PDEs of different types; see, for example, [41]. One key modern area ... See full document
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Simplified aerosol modeling for variational data assimilation
... tional data assimilation system ...a variational-like method, Dubovik et ...and Transport (GOCART) ...conducting variational data assimilation on multiple aerosol ... 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
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On analysis error covariances in variational data assimilation
... The use of the BFGS in this context is attractive because of the possibility of getting the optimal solution and the covariance matrix in ’one shot’. Indeed, this is a tempting idea in the framework of the ... See full document
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A posteriori error covariances in variational data assimilation
... the variational data assimilation problem for a nonlinear evolution model to identify the model ...the optimal solution is derived through the errors of the input ...the optimal ... See full document
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A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea
... suitable data assimilation technique so that the real ocean observations can be utilized to improve the forecasting skill of the ...Ensemble Optimal Interpolation (EnOI) to assimilate tem- perature ... See full document
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Weak constraint four-dimensional variational data assimilation in a model of the California Current System
... The configuration of ROMS employed here is shown in Fig. 1 and spans the California Current System (CCS) which is the dominant circulation environment off the west coast of North America. The CCS forms the eastern branch ... See full document
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Analysis error covariance versus posterior covariance in variational data assimilation
... 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 error covariance matrix (see, for example, ... See full document
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A variational formulation for translation and assimilation of coherent structures
... an optimal initial state at a given instant from which the forecast is ...Most data assimilation algorithms rely on the best linear unbiased estimation (BLUE, Tala- grand, 1997), which is a ... See full document
9
Improvement of operational flood forecasting through the assimilation of satellite observations and multiple river flow data
... classical variational approach (Castelli et ...the assimilation scheme provides optimal esti- mates of discharge initial condition and input by minimizing a penalty functional J ... See full document
7
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
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Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... the optimal solution, one should differentiate the optimal- ity system with respect to ...after assimilation with the use of second-order adjoint were done by Le Dimet et ...for variational ... See full document
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On optimal solution error covariances in variational data assimilation problems
... initial-value optimal control problem for a nonlinear evolution model, which is a typical DA problem arising in ...the transport of traces or turbulent dissipation processes in ocean and atmosphere, the ... See full document
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Optimal solution error covariance in highly nonlinear problems of variational data assimilation
... of optimal so- lutions, which is hardly feasible for large-scale ...in assimilation of long time series of satellite observations of ocean surface elevation and temperature, for ... See full document
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A variational data assimilation system for soil–atmosphere flux estimates for the Community Land Model (CLM3.5)
... spatio-temporal variational data assimilation system (4D-var) for the soil–vegetation–atmosphere transfer model “Community Land Model” ...atmosphere. Optimal assessments of these fluxes are ... See full document
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On deterministic error analysis in variational data assimilation
... of variational data assimilation for a nonlinear evolution model is considered to identify the initial ...the optimal initial- value function through the errors of the input data is ... See full document
10
Evaluation of the Four-dimensional Ensemble-Variational Hybrid Data Assimilation with Self-consistent Regional Background Error Covariance for Improved Hurricane Intensity Forecasts
... assimilated by GSI at 1800 UTC 02 and 1800 UTC 03 October 2015. We can see that two times more wind observations are assimilated by the HWRF DA system relative to the temperature and humidity data (see the numbers ... See full document
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