Sentence examples for data assimilation procedure from inspiring English sources

A particle filter with a problem-tailored proposal function was used as the underlying data assimilation procedure.

In order to improve on the results authors incorporated wave induced vertical mixing along with a data assimilation procedure.

The R-KPCA representation is incorporated into an adjoint-gradient-based data assimilation procedure, and its use for history matching a complex deltaic fan system is demonstrated.

The data assimilation procedure is theoretically based on the Bayesian updating paradigm and is meant to be pragmatic with modest computational and input data requirements.

Moreover, this study proves that the main source of error for the short and medium range forecast, in such a weakly dissipative system, resides in an inaccurate initial condition, which can be improved by a variational data assimilation procedure.

In this paper the revised seNorge snow model (v.1.1.1) for snow mapping is described, and a simplified data assimilation procedure is introduced to correct detected snow model biases in near real-time.

Results indicate an overall good performance of both hydrological models forced by the PEARP ensemble predictions when the models are run with their data assimilation procedures.

In addition, instrument specifications and image acquisition strategies might be optimized on the basis of simulated image analysis results, and new advanced data assimilation procedures could be validated with realistic inputs under controlled circumstances.

An ensemble data assimilation (DA) procedure is developed and evaluated for the Hydrologic Simulation Program – Fortran (HSPF), a widely used watershed water quality model.

In this paper, we focus on solving the inverse problem of determining an optimal repartition of the measuring instruments within the core, to get the best possible results from the data assimilation reconstruction procedure.

We investigate the effects of noise specification on the quality of hydrological forecasts via an advanced data assimilation (DA) procedure using a distributed hydrological model driven by numerical weather predictions.