Abstract

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 high-resolution 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.

Highlights

  • Modern sea situational awareness technologies make use of both real-time information and advanced, long-term reconstructions of the ocean state

  • The relationship between drift and wind speed has been the subject of several decades worth of field experiments, leading to a system of standardised coefficients or leeway factors (Allen and Plourde, 1999)

  • The wind forcing uses the global near-real-time ocean wind observations3, which consist of satellite scatterometer observations combined with the operational wind analysis from the European Centre for Medium-Range Weather Forecasts (ECMWF)

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Summary

Introduction

Modern sea situational awareness technologies make use of both real-time information and advanced, long-term reconstructions of the ocean state. While most on-board communication equipment was inoperable, minimal communication between the aircraft’s satellite terminal and the satellite network continued until 00:19 UTC Analysis of this communication (Ashton et al, 2015) concluded that the aircraft changed course towards the south and continued in this direction until fuel ran out. Based on this information, various search areas have been defined in the southern Indian Ocean in an effort to locate the wreckage (ATSB, 2015). Various search areas have been defined in the southern Indian Ocean in an effort to locate the wreckage (ATSB, 2015) These areas straddle the arc of constant distance to the satellite at the time of the final communication. Unknown initial conditions is discussed; Sect. 3 shows the predictions of the model in terms of a time series of debris probability maps; and Sect. 4 presents the conclusions of this study

Drift trajectories
Superensemble
Model coefficients
Initial conditions and parameters
Forcing field data
First debris discovery
Including further discoveries
Conclusions
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