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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ding Wang Lermusiaux, P.F.J. Haley, P.J. Leslie, W.G. Schmidt, H. |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA (Ding Wang) |
| Abstract | Variabilities in the coastal ocean environment span a wide range of spatial and temporal scales. From an acoustic viewpoint, the limited oceanographic measurements and today's ocean modeling capabilities cannot always provide oceanic-acoustic predictions in sufficient detail and with enough accuracy. Adaptive Rapid Environmental Assessment (AREA) is a new adaptive sampling concept being developed in connection with the emergence of the Autonomous Ocean Sampling Network (AOSN) technology. By adaptively and optimally deploying in situ measurement resources and assimilating these data in coupled nested ocean and acoustic models, AREA can dramatically improve the ocean estimation that matters for acoustic predictions and so be essential for such predictions. These concepts are outlined and preliminary methods are developed and illustrated based on the Focused Acoustic Forecasting-05 (FAF05) exercise. During FAF05, AREA simulations were run in real-time and engineering tests carried out, within the context of an at-sea experiment with autonomous underwater vehicles (AUV) in the northern Tyrrhenian Sea, on the eastern side of the Corsican Channel |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 8492985 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424401143 |
| DOI | 10.1109/OCEANS.2006.306904 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-09-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Oceans Sea measurements Acoustic measurements Predictive models Sampling methods Underwater acoustics Marine technology Area measurement Context modeling Acoustical engineering |
| Content Type | Text |
| Resource Type | Article |
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