Efficient sensor placement for ocean measurements using low-dimensional concepts
Using simulation results from three different regional ocean models (HOPS, ROMS and FVCOM) we show that only a few spatio-temporal POD (proper orthogonal decomposition) modes are sufficient to describe the most energetic ocean dynamics. In particular, we demonstrate that the simulated ocean dynamics...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Elsevier Ltd.
2009
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| Online Access: | http://hdl.handle.net/1721.1/49867 https://orcid.org/0000-0002-2055-9245 |
| _version_ | 1811085717633236992 |
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| author | Yildirim, Battalgazi Chryssostomidis, Chryssostomos Karniadakis, George E. |
| author2 | Massachusetts Institute of Technology. Department of Mechanical Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Mechanical Engineering Yildirim, Battalgazi Chryssostomidis, Chryssostomos Karniadakis, George E. |
| author_sort | Yildirim, Battalgazi |
| collection | MIT |
| description | Using simulation results from three different regional ocean models (HOPS, ROMS and FVCOM) we show that only a few spatio-temporal POD (proper orthogonal decomposition) modes are sufficient to describe the most energetic ocean dynamics. In particular, we demonstrate that the simulated ocean dynamics in New Jersey coast, Massachusetts Bay and Gulf of Maine is energetically equivalent to the wake dynamics behind a cylinder at low Reynolds number. Moreover, the extrema of the POD spatial modes are very good locations for sensor placement and accurate field reconstruction. We employ a modified POD theory to incorporate a limited number of measurements in reconstructing the velocity and temperature fields, and we study systematically the corresponding reconstruction errors as a function of the sensor location, number of sensors, and number of POD modes. This new approach is quite accurate in short-term simulation, and hence it has the potential of accelerating the use of real-time adaptive sampling in data assimilation for ocean forecasting. |
| first_indexed | 2024-09-23T13:14:28Z |
| format | Article |
| id | mit-1721.1/49867 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:14:28Z |
| publishDate | 2009 |
| publisher | Elsevier Ltd. |
| record_format | dspace |
| spelling | mit-1721.1/498672022-09-28T12:53:01Z Efficient sensor placement for ocean measurements using low-dimensional concepts Yildirim, Battalgazi Chryssostomidis, Chryssostomos Karniadakis, George E. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Sea Grant College Program Chryssostomidis, Chryssostomos Karniadakis, George E. Chryssostomidis, Chryssostomos Using simulation results from three different regional ocean models (HOPS, ROMS and FVCOM) we show that only a few spatio-temporal POD (proper orthogonal decomposition) modes are sufficient to describe the most energetic ocean dynamics. In particular, we demonstrate that the simulated ocean dynamics in New Jersey coast, Massachusetts Bay and Gulf of Maine is energetically equivalent to the wake dynamics behind a cylinder at low Reynolds number. Moreover, the extrema of the POD spatial modes are very good locations for sensor placement and accurate field reconstruction. We employ a modified POD theory to incorporate a limited number of measurements in reconstructing the velocity and temperature fields, and we study systematically the corresponding reconstruction errors as a function of the sensor location, number of sensors, and number of POD modes. This new approach is quite accurate in short-term simulation, and hence it has the potential of accelerating the use of real-time adaptive sampling in data assimilation for ocean forecasting. 2009-11-30T21:54:09Z 2009-11-30T21:54:09Z 2009-01 2008-12 Article http://purl.org/eprint/type/SubmittedJournalArticle 1463-5003 http://hdl.handle.net/1721.1/49867 Yildirim, B., C. Chryssostomidis, and G.E. Karniadakis. “Efficient sensor placement for ocean measurements using low-dimensional concepts.” Ocean Modelling 27.3-4 (2009): 160-173. Web. https://orcid.org/0000-0002-2055-9245 en_US http://dx.doi.org/10.1016/j.ocemod.2009.01.001 Ocean Modelling Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf Elsevier Ltd. Nancy Adams |
| spellingShingle | Yildirim, Battalgazi Chryssostomidis, Chryssostomos Karniadakis, George E. Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title | Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title_full | Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title_fullStr | Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title_full_unstemmed | Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title_short | Efficient sensor placement for ocean measurements using low-dimensional concepts |
| title_sort | efficient sensor placement for ocean measurements using low dimensional concepts |
| url | http://hdl.handle.net/1721.1/49867 https://orcid.org/0000-0002-2055-9245 |
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