variational data assimilation
Analysis error covariance versus posterior covariance in variational data assimilation
... of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function ...The data contain errors (observation and ...
16
A multilevel approach for computing the limited-memory Hessian and its inverse in variational data assimilation
... in variational data assimilation algorithms in meteorology and oceanography, but a complete multigrid algorithm has been considered only recently in ...
30
On deterministic error analysis in variational data assimilation
... The purpose of this paper is to analyze the impact of errors on the prediction in order to provide some information on the improvement of prediction. This is a new statement in comparison with the former paper by Le ...
10
A posteriori error covariances in variational data assimilation
... of variational data assimilation for a nonlinear evolution model is formu- lated as an optimal control problem to find some unknown parameters of the ...input data (background, observation, ...
10
Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation
... in variational data assimilation aimed at restoration of unknown parameters of a dynamic ...ational data assimilation is not limited to operational fore- ...
11
Variational data assimilation for a forced, inertia-free magnetohydrodynamic dynamo model
... Data assimilation as applied to geomagnetism is a relatively nascent activity, beginning with the work of Fournier et ...of data assimilation have been adopted, namely sequential and ...
28
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 ...
8
On analysis error covariances in variational data assimilation
... 1. Introduction. The methods of variational data assimilation (DA) were de- signed to combine models and observational data as sources of information. From the mathematical point of view, DA ...
28
A radar reflectivity operator with ice-phase hydrometeors for variational data assimilation (version 1.0) and its evaluation with real radar data
... for variational data assimilation ...three-dimensional variational (3D-Var) DA experiments with a 3 km grid mesh setting of the Weather Research and Forecasting (WRF) model showed that ...
21
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 ...
13
Variational data assimilation with the YAO platform for hydrological forecasting
... prediction. Data assimilation was found to be one of the main tools to achieve this task (Seo et ...(variational data assimilation) is used in geophysics, applied to physically-based ...
6
A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea
... of data assimila- tion techniques offers more choices to develop a coastal/shelf scale ocean data assimilation ...the data assimi- lation applications in coastal-shelf forecasting systems, the ...
11
On optimal solution error covariances in variational data assimilation problems
... of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find unknown parameters such as distributed model coef- ficients or boundary ...input ...
20
A framework for variational data assimilation with superparameterization
... practical data assimilation framework that can be used with these ...3D-Var variational data assimilation framework for use with SP; the relatively low cost and simplicity of 3D-Var in ...
11
Observational operators for dual polarimetric radars in variational data assimilation systems (PolRad VAR v1.0)
... two variational data assimila- tion systems: WRF Var, the Weather Research and Forecast- ing Model variational data assimilation system, and NHM- 4DVAR, the nonhydrostatic ...
9
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 ...
12
Using adjoint sensitivity as a local structure function in variational data assimilation
... Abstract. One approach recently proposed in order to im- prove the forecast of weather events, such as cyclogenesis, is to increase the number of observations in areas depending on the flow configuration. These areas are ...
9
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 ...of data as- similation experiments over two ...
14
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” ...4D-var data assimilation has the potential to ...
12
Hybridizing Bayesian and variational data assimilation for high resolution hydrologic forecasting
... of variational data assimilation, OPTIMISTS incorporates evolutionary multi-objective opti- mization algorithms (Deb, 2014) instead of the established gradient-based, single-objective ...for ...
21