Skip to main content
Log in

Drift analysis of MH370 debris in the southern Indian Ocean

  • Research Article
  • Published:
Frontiers of Earth Science Aims and scope Submit manuscript

Abstract

Malaysian Airlines Flight MH370 disappeared on 8 March 2014, while flying from Kuala Lumpur to Beijing. A flaperon from the flight was found on Reunion Island in July 2015. Two more confirmed pieces of debris were found in Mauritius and Tanzania, and 19 unconfirmed items were found off Mozambique, South Africa, and Madagascar. Drift buoys originating from the designated underwater search area arrived in Reunion Island, Mauritius, and Tanzania. Some of these buoys took a similarly long time as did real debris to reach these destinations, following a heading northeast and then west. For the present study, a maritime object drift prediction model was developed. “High resolution surface currents, Stokes drift, and winds” were processed, and a series of model experiments were constructed. The predicted trajectories of the modeled objects were similar to the observed trajectories of the drift buoys. Many modeled objects drifted northward then westward, ending up in Reunion Island, Mauritius, and Tanzania with probabilities of 5‰, 5‰, and 19‰, respectively. At the end of the simulation, most objects were located near 10°S in the western Indian Ocean. There were significant differences between experiments with different leeway factors, possibly because of the influence of southeast trade winds. The north part of the underwater search area is most likely to be the crash site, because the predicted trajectories of objects originating here are consistent with the many pieces of debris found along the east coast of Africa and the absence of such findings on the west coast of Australia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Allen A A (2005). Leeway divergence, Technical Report CG-D-05-05. US Coast Guard Research and Development Center, Groton, CT, USA

    Google Scholar 

  • Alves O, Robert C (2005). Tropical Pacific Ocean model error covariances from Monte Carlo simulations. Q J R Meteorol Soc, 131(613): 3643–3658

    Article  Google Scholar 

  • Ardhuin F, Marie L, Rascle N, Forget P, Roland A (2009). Observation and estimation of Lagrangian, stokes and Eulerian currents induced by wind and waves at the sea surface. J Phys Oceanogr, 39(11): 2820–2838

    Article  Google Scholar 

  • Ashton C, Shuster Bruce A, Colledge G, Dickinson M (2015). The Search for MH370. J Navig, 68(1): 1–22

    Article  Google Scholar 

  • ATSB (Australian Transportation Safety Bureau) (2015). MH370–Definition of Underwater Search Areas. ATSB Transport Safety Report, External Aviation Investigation AE-2014-054, 3 December 2015

    Google Scholar 

  • ATSB (Australian Transportation Safety Bureau) (2016). MH370–First Principles Review. ATSB Transport Safety Report, Aviation External Investigation AE-2014-054, 20 December 2016

    Google Scholar 

  • Breivik Ø, Allen A A (2008). An operational search and rescue model for the Norwegian Sea and the North Sea. J Mar Syst, 69(1–2): 99–113

    Article  Google Scholar 

  • Campos R M, Soares C G (2016). Comparison of HIPOCAS and ERA wind and wave reanalysis in the North Atlantic Ocean. Ocean Eng, 112: 320–334

    Article  Google Scholar 

  • Chassignet E P, Hurlburt H E, Metzger E J, Smedstad OM, Cummings J A, Halliwell G R, Bleck R, Baraille R, Wallcraft A J, Lozano C, Tolman H L, Srinivasan A, Hankin S, Cornillon P, Weisberg R, Barth A, He R, Werner F, Wilkin J (2009). US GODAE: global ocean prediction with the HYbrid Coordinate Ocean Model (HYCOM). Oceanography (Wash DC), 22(2): 64–75

    Article  Google Scholar 

  • Chaudhuri A H, Ponte R M, Forget G, Heimabach P (2013). A comparison of atmospheric reanalysis surface products over the ocean and implications for uncertainties in air-sea boundary forcing. J Clim, 26(1): 153–170

    Article  Google Scholar 

  • Cummings J A (2005). Operational multivariate ocean data assimilation. Quarterly Journal of the Royal Meteorological Society, 131(613): 3583–3604

    Article  Google Scholar 

  • Cummings J A, Smedstad O M (2013). Variational data assimilation for the global ocean, data assimilation for atmospheric. In: Park S K, Xu L, eds. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications. Springer-Verlag Berlin Heidelberg, 303–343

  • Dee D P, Uppala S M, Simmons A J, Berrisford P, Poli P, Kobayashi S, Andrae U, Balmaseda M A, Balsamo G, Bauer P, Bechtold P, Beljaars A C M, van de Berg L, Bidlot J, Bormann N, Delsol C, Dragani R, Fuentes M, Geer A J, Haimberger L, Healy S B, Hersbach H, Hólm E V, Isaksen L, Kållberg P, Köhler M, Matricardi M, McNally A P, Monge-Sanz B M, Morcrette J J, Park B K, Peubey C, de Rosnay P, Tavolato C, Thépaut J N, Vitart F (2011). The ERAInterim reanalysis: configuration and performance of the data assimilation system. Q J R Meteorol Soc, 137(656): 553–597

    Article  Google Scholar 

  • Eichhorn M, Haertel A (2016). A debris backwards flow simulation system for Malaysia Airlines flight 370. IEEE OCEANS 2016–Shanghai, 10‒13 April 2016

    Book  Google Scholar 

  • Fox D N, Teague W J, Barron C N, Carnes M R, Lee C M (2002). The modular ocean data assimilation system (MODAS). J Atmos Ocean Technol, 19(2): 240–252

    Article  Google Scholar 

  • Gao J, Mu L, Wang G S, Li C, Dong J X, Bao XW, Li H, Song J (2016). Drift analysis and prediction of debris from Malaysia Airlines flight MH370. Chin Sci Bull, 61(21): 2409–2418 (in Chinese)

    Google Scholar 

  • Hui Z, Xu Y (2016). The impact of wave-induced Coriolis-Stokes forcing on satellite-derived ocean surface currents. J Geophys Res Oceans, 121(1): 410–426

    Article  Google Scholar 

  • Jansen E, Coppini G, Pinardi N (2016). Drift simulation of MH370 debris using supersensemble techniques. Nat Hazards Earth Syst Sci, 16(7): 1623–1628

    Article  Google Scholar 

  • Joseph S, Wallcraft A J, Jensen T G, Ravichandran M, Shenoi S S C, Nayak S (2012). Weakening of springWyrtki jets in the Indian Ocean during 2006–2011. J Geophys Res, 117: C04012

    Article  Google Scholar 

  • Mo D, Hou Y, Li J, Liu Y (2016). Study on the storm surges induced by cold waves in the northern East China Sea. J Mar Syst, 160: 26–39

    Article  Google Scholar 

  • Montecinos A, Muñoz R C, Oviedo S, Martínez A, Villagrán V (2017). Climatological Characterization of Puelche Winds down the Western Slope of the Extratropical Andes Mountains Using the NCEP Climate Forecast System Reanalysis. J Appl Meteorol Climatol, 56 (3): 677–696

    Article  Google Scholar 

  • Philipps O (1977). The Dynamics of the Upper Ocean. Cambridge: Cambridge University Press, 336–337

    Google Scholar 

  • Polton J A, Lewis D M, Belcher S E (2005). The Role of Wave-Induced Coriolis-Stokes Forcing on the Wind-Driven Mixed Layer. J Phys Oceanogr, 35(6): 444–457

    Article  Google Scholar 

  • Rahn D A, Garreaud R (2014). A synoptic climatology of the nearsurface wind along the west coast of South America. Int J Climatol, 34(3): 780–792

    Article  Google Scholar 

  • Rimac A, von Storch J S, Eden C, Haak H (2013). The influence of highresolution wind stress field on the power input to near-inertial motions in the ocean. Geophys Res Lett, 40(18): 4882–4886

    Article  Google Scholar 

  • Saha S, Moorthi S, Wu X, Wang J, Nadiga S, Tripp P, Behringer D, Hou H T, Chuang H, Iredell M, Ek M, Meng J, Yang R, Mendez M P, van den Dool H, Zhang Q, Wang W, Chen M, Becker E (2014). The NCEP Climate Forecast System Version2. J Clim, 27(6): 2185–2208

    Article  Google Scholar 

  • Yin Y, Lin X, He R, Hou Y (2017). Impact of mesoscale eddies on Kuroshio intrusion variability northeast of Taiwan. J Geophys Res Oceans, 122(4): 3021–3040

    Article  Google Scholar 

  • Yu L, Zhong S, Bian X, Heilman W E (2016). Climatology and trend of wind power resources in China and its surrounding regions: a revisit using climate forecast system reanalysis data. Int J Climatol, 36(5): 2173–2188

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the National Key Research and Development Program of China (No. 2017YFC1404700); the National Natural Science Foundation of China (Grant Nos. 41430963 and 41606005); the Fundamental Research Funds for the Central Universities (No. 201713023). Surface drifter data were provided by the Global Drifter Program. Surface currents data were from Hybrid Coordinate Ocean Model developed by Florida State University (HYCOM). Wave data were provided by the European Centre for Medium-Range Weather Forecasts (ECMWF). Wind data were provided by NOAA’s National Centers for Environmental Prediction (NCEP).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lin Mu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, J., Mu, L., Bao, X. et al. Drift analysis of MH370 debris in the southern Indian Ocean. Front. Earth Sci. 12, 468–480 (2018). https://doi.org/10.1007/s11707-018-0693-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11707-018-0693-0

Keywords

Navigation