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On one method of investigation of sensitivity to random fields perturbations in dynamic-probabilistic modelling
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A. V. Protasov
Veröffentlicht/Copyright:
2003
Using variational information assimilation, we propose the method of dynamic probabilistic numerical investigation of the climatic sensitivity of atmospheric processes to their long-term perturbations in given regions. We use the known representation of the atmosphere climate as a statistical ensemble of possible realizations of space-time meteoelement fields. In essence, we propose an algorithm for the approximate numerical modelling of conditionally distributed realizations by variational information assimilation methods using a numerical model of atmosphere hydrothermodynamics.
Published Online: --
Published in Print: 2003-08-01
Copyright 2003, Walter de Gruyter
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Artikel in diesem Heft
- Large-eddy simulation of interaction of ocean and atmospheric boundary layers
- Estimation of the coefficients in the parabolic equation by the statistical simulation of diffusion trajectories
- Numerical study of the global ocean equilibrium circulation
- On one method of investigation of sensitivity to random fields perturbations in dynamic-probabilistic modelling
- Variable resolution global semi-Lagrangian atmospheric model
Artikel in diesem Heft
- Large-eddy simulation of interaction of ocean and atmospheric boundary layers
- Estimation of the coefficients in the parabolic equation by the statistical simulation of diffusion trajectories
- Numerical study of the global ocean equilibrium circulation
- On one method of investigation of sensitivity to random fields perturbations in dynamic-probabilistic modelling
- Variable resolution global semi-Lagrangian atmospheric model
