Benefit assessment of glider adaptive sampling in the Ligurian Sea
The benefits of piloting a glider during a 6-day period via an adaptive sampling procedure in a 80×60km <sup>2</sup> marine area are assessed under a fully operational framework. The glider trajectory was adapted to reduce the ocean temperature uncertainties predicted by the operational...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2012 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/414429 |
| Acceso en línea: | http://hdl.handle.net/10261/414429 https://api.elsevier.com/content/abstract/scopus_id/84865048529 |
| Access Level: | acceso abierto |
| Palabra clave: | Adaptive sampling Glider Ligurian Sea Operational ocean prediction Super-ensemble |
| Sumario: | The benefits of piloting a glider during a 6-day period via an adaptive sampling procedure in a 80×60km <sup>2</sup> marine area are assessed under a fully operational framework. The glider trajectory was adapted to reduce the ocean temperature uncertainties predicted by the operational 3-D super-ensemble model in the Ligurian Sea in August 2010. Two sets of real time model predictions are compared, which assimilate observations from (1) the adaptive-sampling-driven glider and (2) an independent glider flying in the same area. The piloting algorithm was able to successfully guide the glider along the planned trajectories. These were nevertheless not fully completed due to un-predicted adverse currents faced along the transects. Despite operational constraints and model prediction errors, the adaptive sampling procedure is shown to meet the proposed objective, i.e. a reduction of the 48-h model temperature uncertainty predicted in the upper 200m. Moreover, measurements collected during the last 48-h forecast cycle from (i) an ocean mooring, (ii) a repeated ScanFish transect and (iii) more irregularly distributed platforms, all indicate that the actual prediction error is lower in the simulation assimilating the data from the adaptive sampling. Quantitatively, the total root-mean-square error is reduced by 18% at the end of the field experiment in comparison with the control simulation. © 2012 NATO Undersea Research Centre. |
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