Impact of glider data assimilation on the Monterey Bay model

Shulman, Igor; Rowley, Clark; Anderson, Stephanie; deRada, Sergio; Kindle, John C.; Martin, Paul J.; Doyle, James D.; Cummings, James; Ramp, S.R.; Chávez, Francisco P.; Fratantoni, David M.; Davis, Russ E.

doi:10.1016/j.dsr2.2008.08.003

Cited by 48 publications

(39 citation statements)

References 14 publications

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“…They are analogous to the profiling Argo floats used in OGCM DA systems. In coastal domains where the water depth exceeds 30 m, gliders are proving to be an invaluable observing platform to source observations of the water column for assimilation (Shulman et al, 2009;Dobricic et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Assimilation of glider and mooring data into a coastal ocean model

et al. 2012

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This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues.Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. a b s t r a c tWe have applied an ensemble optimal interpolation (EnOI) data assimilation system to a high resolution coastal ocean model of south-east Tasmania, Australia. The region is characterised by a complex coastline with water masses influenced by riverine input and the interaction between two offshore current systems. Using a large static ensemble to estimate the systems background error covariance, data from a coastal observing network of fixed moorings and a Slocum glider are assimilated into the model at daily intervals. We demonstrate that the EnOI algorithm can successfully correct a biased high resolution coastal model. In areas with dense observations, the assimilation scheme reduces the RMS difference between the model and independent GHRSST observations by 90%, while the domain-wide RMS difference is reduced by a more modest 40%. Our findings show that errors introduced by surface forcing and boundary conditions can be identified and reduced by a relatively sparse observing array using an inexpensive ensemble-based data assimilation system. Crown

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Section: Introductionmentioning

confidence: 99%

Assimilation of glider and mooring data into a coastal ocean model

et al. 2012

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“…Additionally, gliders have been used to estimate zonal or cross-shelf transport (Gourdeau et al 2008, Castelao et al 2008b and to detect the subsurface effects of global climatic processes, such as El Niño in the California Current (Todd et al 2011). It is also worth mentioning the improvement in ocean model outputs when glider data assimilation is considered (Shulman et al 2009, Dobricic et al 2010.…”

Section: Imedea Glider Activities For Marine Research • 263mentioning

confidence: 99%

New technologies for marine research: five years of glider activities at IMEDEA

Ruiz¹,

Garau²,

Martínez-Ledesma³

et al. 2012

Sci. Mar.

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SUMMARY: This paper summarizes the glider activities carried out in the last 5 years by the IMEDEA Department of Marine Technologies, Operational Oceanography and Sustainability (TMOOS). TMOOS has been operating gliders in the Western Mediterranean Sea since 2006 and has set-up electronic and maintenance laboratories in order to establish a key glider port in the area. Twenty-two glider missions have been performed to date and over 17000 hydrographic and biogeochemical profiles collected. TMOOS is using gliders for operational, technological and scientific objectives. Studies of path planning analysis and adaptive sampling for gliders in combination with other platforms have been undertaken and new methodologies have been developed to process data from gliders. Thus far, IMEDEA gliders have contributed to the better understanding of mesoscale processes in the upper ocean, including the coupling between the physical and biogeochemical process of the marine ecosystem and, in combination with remote sensing observations, high-resolution glider data has enabled advances in new methodologies to improve coastal altimetry. Gliders have also proved to be important platforms for the development of operational oceanography tools and useful vehicles on which to test and implement new sensors for ocean monitoring.Keywords: Autonomous underwater vehicles, ocean observing system, upper ocean mesoscale processes, Balearic Sea. RESUMEN: Nuevas tecNologías para la iNvestigacióN mariNa: 5 años de actividades de gliders eN el imedea.-Este artículo resume las actividades de gliders llevadas a cabo en los últimos 5 años en el Departamento de Tecnologías Marinas, Oceanografía Operacional y Sostenibilidad (TMOOS) del IMEDEA. El departamento TMOOS realiza misiones con gliders en el Mediterráneo occidental desde el año 2006. Se han creado nuevos laboratorios de electrónica y de mantenimiento con el fin de establecer un 'glider-port' clave en esta zona del Mediterráneo. Se han realizado veintidos misiones que han supuesto la adquisición de un total de 17.000 perfiles hidrográficos y biogeoquímicos. El TMOOS usa los planeadores submarinos con fines operacionales, tecnológicos y científicos. Se han realizado estudios sobre planificación de rutas y muestreo adaptativo de gliders en combinación con otras plataformas y se han desarrollado nuevas metodologías para el procesado de los datos. Los planeadores han contribuido a una mejor comprensión de los procesos de mesoescala de la capa superficial del océano, incluyendo el acoplamiento de procesos físicos y bio-geoquímicos de los ecosistemas marinos. Combinando observaciones de alta resolución de gliders y de satélites se ha avanzado en el desarrollo de nuevas metodologías para mejorar la altimetría costera. Además, los planeadores también han demostrado ser una plataforma ideal para la oceanografía operacional y en la que se pueden probar e implementar nuevos sensores para la monitorización de los océanos.Palabras clave: vehículos autónomos submarinos, sistemas observación océano, procesos me...

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“…Model outputs contain a 24 hour hindcast, 24 hour nowcast and 24 hour forecast each day. For more details on this model, please see (Shulman et al, 2009) and (Shulman et al, 2010).…”

Section: Ncom Icon -Monterey Baymentioning

confidence: 99%

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

Smith¹,

Schwager²,

Smith³

et al. 2011

Journal of Field Robotics

182

112

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Ocean processes are dynamic, complex, and occur on multiple spatial and temporal scales. To obtain a synoptic view of such processes, ocean scientists collect data over long time periods. Historically, measurements were continually provided by fixed sensors, e.g., moorings, or gathered from ships. Recently, an increase in the utilization of autonomous underwater vehicles has enabled a more dynamic data acquisition approach. However, we still do not utilize the full capabilities of these vehicles. Here we present algorithms that produce persistent monitoring missions for underwater vehicles by balancing path following accuracy and sampling resolution for a given region of interest, which addresses a pressing need among ocean scientists to efficiently and effectively collect high-value data.More specifically, this paper proposes a path planning algorithm and a speed control algorithm for underwater gliders, which together give informative trajectories for the glider to persistently monitor a patch of ocean. We optimize a cost function that blends two competing factors: maximize the information value along the path, while minimizing deviation from the planned path due to ocean currents. Speed is controlled along the planned path by adjusting the pitch angle of the underwater glider, so that higher resolution samples are collected in areas of higher information value. The resulting paths are closed circuits that can be repeatedly traversed to collect long-term ocean data in dynamic environments. The algorithms were tested during sea trials on an underwater glider operating off the coast of southern California, as well as in Monterey Bay, California. The experimental results show improvements in both data resolution and path reliability compared to previously executed sampling paths used in the respective regions.

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Impact of glider data assimilation on the Monterey Bay model

Cited by 48 publications

References 14 publications

Assimilation of glider and mooring data into a coastal ocean model

Assimilation of glider and mooring data into a coastal ocean model

New technologies for marine research: five years of glider activities at IMEDEA

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

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