Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
| one publication added to basket [210980] |
Inversion for time-evolving sound-speed field in a shallow ocean by Ensemble Kalman Filtering
Carrière, O.; Hermand, J.P.; Candy, J.V. (2009). Inversion for time-evolving sound-speed field in a shallow ocean by Ensemble Kalman Filtering. IEEE J. Ocean. Eng. 34(4): 586-602. dx.doi.org/10.1109/JOE.2009.2033954
In: IEEE Journal of Oceanic Engineering. IEEE: New York. ISSN 0364-9059; e-ISSN 1558-1691, meer
|  |
| Trefwoord |
|
| Author keywords |
Coupled normal modes; empirical orthogonal function; ensemble Kalman |
| Auteurs | | Top |
- Carrière, O., meer
- Hermand, J.P., meer
- Candy, J.V.
|
|
|
| Abstract |
In the context of the recent Maritime Rapid Environmental Assessment/Blue Planet 2007 sea trial (MREA/BP07), this paper presents a range-resolving tomography method based on ensemble Kalman filtering of full-field acoustic measurements, dedicated to the monitoring of environmental parameters in coastal waters. The inverse problem is formulated in a state-space form wherein the time-varying sound-speed field (SSF) is assumed to follow a random walk with known statistics and the acoustic measurements are a nonlinear function of the SSF and the bottom properties. The state-space form enables a straightforward implementation of a nonlinear Kalman filter, leading to a data assimilation problem. Surface measurements augment the measurement vector to constrain the range-dependent structure of the SSF. Realistic scenarios of vertical slice shallow-water tomography experiments are simulated with an oceanic model, based on the MREA/BP07 experiment. Prior geoacoustic inversion on the same location gives the bottom acoustic properties that are input to the propagation model. Simulation results show that the proposed scheme enables the continuous tracking of the range-dependent SSF parameters and their associated uncertainties assimilating new measurements each hour. It is shown that ensemble methods are required to properly manage the nonlinearity of the model. The problem of the sensitivity to the vertical array (VA) configuration is also addressed. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
