Advances in search and rescue at sea

Breivik, Øyvind; Allen, A A; Maisondieu, Christophe; Olagnon, Michel

doi:10.1007/s10236-012-0581-1

Cited by 124 publications

(85 citation statements)

References 42 publications

(54 reference statements)

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“…Indeed, the use of real-time HF radar data and derived products, such as the short-term forecast, has proven to have significant impact on the reduction of operational search radii in real situations (e.g., Roarty et al 2010;Breivik et al 2013). Other examples of the application of these data to different issues have been detailed in several publications (Paduan and Washburn 2013;Wyatt 2014).…”

Section: December 2016 S O L a B A R R I E T A E T A Lmentioning

confidence: 99%

Skill Assessment of HF Radar–Derived Products for Lagrangian Simulations in the Bay of Biscay

Solabarrieta

Фролов

Cook

et al. 2016

Journal of Atmospheric and Oceanic Technology

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Since January 2009, two long-range high-frequency (HF) radar systems have been collecting hourly highspatial-resolution surface current data in the southeastern corner of the Bay of Biscay. The temporal resolution of the HF radar surface currents permits simulating drifter trajectories with the same time step as that of real drifters deployed in the region in 2009. The main goal of this work is to compare real drifter trajectories with trajectories computed from HF radar currents obtained using different methods, including forecast currents. Open-boundary modal analysis (OMA) is applied to the radar radial velocities and then a linear autoregressive model on the empirical orthogonal function (EOF) decomposition of an historical data series is used to forecast OMA currents. Additionally, the accuracy of the forecast method in terms of the spatial and temporal distribution of the Lagrangian distances between observations and forecasts is investigated for a 4-yr period . The skills of the different HF radar products are evaluated within a 48-h window. The mean distances between real trajectories and their radar-derived counterparts range from 4 to 5 km for real-time and forecast currents after 12 hours of simulations. The forecast model improves persistence (i.e., the simulations obtained by using the last available OMA fields as a constant variable) after 6 hours of simulation and improves the estimation of trajectories up to 28% after 48 hours. The performance of the forecast is observed to be variable in space and time, related to the different ocean processes governing the local ocean circulation.

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Section: December 2016 S O L a B A R R I E T A E T A Lmentioning

confidence: 99%

Skill Assessment of HF Radar–Derived Products for Lagrangian Simulations in the Bay of Biscay

Solabarrieta

Фролов

Cook

et al. 2016

Journal of Atmospheric and Oceanic Technology

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“…Partnerships and data integration are an increasingly important aspect of maritime security and law enforcement mission areas, including illegal fishing interdiction and search and rescue. Linking coastal forecasts to search and rescue decision support tools is an effective strategy to reduce search times and better allocate ships and airborne assets (Breivik et al 2013). For instance, the US Coast Guard is increasingly focused on domains such as the Arctic and island environments, where they must be able to carry out their traditional missions in challenging conditions.…”

Section: Utility Of Coastal Systemsmentioning

confidence: 99%

Coastal Ocean Forecasting: science foundation and user benefits

Kourafalou

Mey

Staneva³

et al. 2015

Journal of Operational Oceanography

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“…Developments in meteorology, oceanography and computer technology have since led to large improvements in the performance and accuracy of the numerical models. However, the basic methodology of drift modelling has remained the same, using an ensemble of particles that respond linearly to the wind speed (Hackett et al, 2006;Breivik et al, 2012). The relationship between drift and wind speed has been the subject of several decades worth of field experiments, ultimately leading to a system of standardised coefficients or leeway factors (Allen and Plourde, 1999).…”

Section: Introductionmentioning

confidence: 99%

Drift simulation of MH370 debris using superensemble techniques

Jansen

Coppini

Pinardi

2016

Nat. Hazards Earth Syst. Sci.

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Abstract. On 7 March 2014 (UTC), Malaysia Airlines flight 370 vanished without a trace. The aircraft is believed to have crashed in the southern Indian Ocean, but despite extensive search operations the location of the wreckage is still unknown. The first tangible evidence of the accident was discovered almost 17 months after the disappearance. On 29 July 2015, a small piece of the right wing of the aircraft was found washed up on the island of Réunion, approximately 4000 km from the assumed crash site. Since then a number of other parts have been found in Mozambique, South Africa and on Rodrigues Island. This paper presents a numerical simulation using highresolution oceanographic and meteorological data to predict the movement of floating debris from the accident. Multiple model realisations are used with different starting locations and wind drag parameters. The model realisations are combined into a superensemble, adjusting the model weights to best represent the discovered debris. The superensemble is then used to predict the distribution of marine debris at various moments in time. This approach can be easily generalised to other drift simulations where observations are available to constrain unknown input parameters.The distribution at the time of the accident shows that the discovered debris most likely originated from the wide search area between 28 and 35 • S. This partially overlaps with the current underwater search area, but extends further towards the north. Results at later times show that the most probable locations to discover washed-up debris are along the African east coast, especially in the area around Madagascar. The debris remaining at sea in 2016 is spread out over a wide area and its distribution changes only slowly.

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Advances in search and rescue at sea

Cited by 124 publications

References 42 publications

Skill Assessment of HF Radar–Derived Products for Lagrangian Simulations in the Bay of Biscay

Skill Assessment of HF Radar–Derived Products for Lagrangian Simulations in the Bay of Biscay

Coastal Ocean Forecasting: science foundation and user benefits

Drift simulation of MH370 debris using superensemble techniques

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