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Miller, PI and Loveday, BR 2017 Revealing the timing of ocean stratification using remotely sensed ocean fronts. [Lecture] In: SPIE Remote Sensing, Warsaw, Poland, 2017. Proceedings Volume 10422, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2017, SPIE, 21.
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Abstract/Summary
Stratification is of critical importance to the circulation, mixing and productivity of the ocean, and is expected to be modified by climate change. Stratification is also understood to affect the surface aggregation of pelagic fish and hence the foraging behaviour and distribution of their predators such as seabirds and cetaceans. Hence it would be prudent to monitor the stratification of the global ocean, though this is currently only possible using in situ sampling, profiling buoys or underwater autonomous vehicles. Earth observation (EO) sensors cannot directly detect stratification, but can observe surface features related to the presence of stratification, for example shelf-sea fronts that separate tidally-mixed water from seasonally stratified water. This paper describes a novel algorithm that accumulates evidence for stratification from a sequence of oceanic front maps, and discusses preliminary results in comparison with in situ data and simulations from 3D hydrodynamic models. In certain regions, this method can reveal the timing of the seasonal onset and breakdown of stratification.
| Item Type: | Publication - Conference Item (Lecture) |
|---|---|
| Additional Information. Not used in RCUK Gateway to Research.: | Copyright 2017 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. |
| Divisions: | Plymouth Marine Laboratory > National Capability categories > Added Value Plymouth Marine Laboratory > National Capability categories > NERC Earth Observation Data Acquisition & Analysis Service (NEODAAS) Plymouth Marine Laboratory > Science Areas > Earth Observation Science and Applications |
| Depositing User: | Kim Hockley |
| Date made live: | 12 Mar 2019 15:05 |
| Last Modified: | 25 Apr 2020 09:59 |
| URI: | https://plymsea.ac.uk/id/eprint/8164 |
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