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Assimilating en-route Lagrangian observations Cover

Assimilating en-route Lagrangian observations

Open Access
|Dec 2013

References

  1. Apte A , Jones C . The effect of nonlinearity on Lagrangian data assimilation. Nonlinear Processes Geophys. 2013; 20: 329341.
  2. Apte A , Jones C , Stuart A . A Bayesian approach to Lagrangian data assimilation. Tellus. 2008; 60: 336347.
  3. Chyba M . Autonomous underwater vehicles. Ocean Eng. 2009; 36(1): 1.
  4. Dobricic S , Pinardi N . An oceanographic three-dimensional variational data assimilation scheme. Ocean Model. 2008; 22: 89105.
  5. Dobricic S , Pinardi N , Testor P , Send U . Impact of data assimilation of glider observations in the Ionian Sea (Eastern Mediterranean). Dynam. Atmos. Oceans. 2010; 50: 7892.
  6. Doucet A , de Freitas N , Gordon N . Sequential Monte Carlo Methods in Practice. 2001; Statistics for Engineering and Information Science, Springer-Verlag, New York..
  7. Eriksen C , Perry M . The nurturing of seagliders by the national oceanographic partnership program. Oceanography. 2009; 22: 146157.
  8. Gilson J . On data collected by Argo floats at parking depth. 2013. Private communication.
  9. Haley Jr., P. J , Lermusiaux P. F. J , Robinson A. R , Leslie W. G , Logoutov O , co-authors A . Forecasting and reanalysis in the Monterey Bay/California Current region for the Autonomous Ocean Sampling Network-II experiment. Deep Sea Res. Part II – Topical Studies Oceanogr. 2009; 56: 127148.
  10. Ide K , Kuznetsov L , Jones C. K. R. T . Lagrangian data assimilation for point vortex systems. J. Turbulence. 2002; 3 Online at: http://www.tandf.co.uk/journals/title/14685248.asp .
  11. Jones E. M , Oke P. R , Rizwi F , Murray L. M . Assimilation of glider and mooring data into a coastal ocean model. Ocean Model. 2012; 47: 113.
  12. Kuznetsov L , Ide K , Jones C. K. R. T . A method for assimilation of Lagrangian data. Mon. Weather Rev. 2003; 131: 22472260.
  13. Liu J , Chen R . Sequential Monte Carlo methods for dynamic systems. J. Am. Stat. Assoc. 1998; 93: 10321044.
  14. Lozier M . Deconstructing the conveyor belt. Science. 2010; 328: 15071511.
  15. Mariano A , Kourafalou V , Srinivasan A , Kang H , Halliwell G , co-authors . On the modeling of the 2010 Gulf of Mexico oil spill. Dynam. Atmos. Oceans. 2011; 52: 322340.
  16. Nilsson A , Dobricic S , Pinardi N , Poulain P.-M , Pettenuzzo D . Variational assimilation of Lagrangian trajectories in the Mediterranean ocean Forecasting System. Ocean Sci. 2012; 8: 249259.
  17. Nilsson A , Dobricic S , Pinardi N , Taillandier V , Poulain P.-M . On the assessment of Argo float trajectory assimilation in the Mediterranean Forecasting System. Ocean Dynam. 2011; 61: 14751490.
  18. Ollitrault M , Rannou J.-P . ANDRO: an argo-based deep displacement dataset. J. Atmos. Ocean Tech. 2013; 30: 759788.
  19. Pedlosky J . Geophysical Fluid Dynamics. 1986; New York.: Springer.
  20. Restrepo J . A path integral method for data assimilation. Phys. D. 2008; 237: 1427.
  21. Rudnick D , Davis R , Eriksen C , Fratantoni D , Perry M . Underwater gliders for ocean research. Mar. Tech. Soc. J. 2004; 38: 7384.
  22. Rudnick D. L , Cole S. T . On sampling the ocean using underwater gliders. J. Geophys. Res. 2011; 116: C08010. DOI: 10.1029/2010JC006849.
  23. Salman H , Ide K , Jones C. K. R. T . Using flow geometry for drifter deployment in Lagrangian data assimilation. Tellus. 2008; 60: 321335.
  24. Salman H , Kuznetsov L , Jones C. K. R. T , Ide K . A method for assimilating Lagrangian data into a shallow-water equation ocean model. Mon. Weather Rev. 2006; 134: 10811101.
  25. Smith R. N , Pereira A , Chao Y , Li P. P , Caron D. A , co-authors . Autonomous underwater vehicle trajectory design coupled with predictive ocean models: a case study. Robotics and Automation (ICRA), 2010 IEEE International Conference on. 2010; IEEE. 47704777.
  26. Spiller E , Budhiraja A , Ide K , Jones C . Modified particle filter methods for assimilating Lagrangian data into a point-vortex model. Phys. D. 2008; 237: 14981506.
  27. Taillandier V , Griffa A , Molcard A . A variational approach for the reconstruction of regional scale Eulerian velocity fields from Lagrangian data. Ocean Model. 2006; 13: 124.
  28. Taillandier V , Griffa A , Poulain P , Signell R , Chiggiato J , co-authors . Variational analysis of drifter positions and model outputs for the reconstruction of surface currents in the central Adriatic during fall 2002. J. Geophys. Res. 2008; 113: C04004.
  29. van Leeuwen P. J . Particle filtering in geophysical systems. Mon. Weather. Rev. 2009; 137: 40894113.
  30. Vernieres G , Ide K , Jones C. K. R. T . Capturing eddy shedding in the gulf of Mexico from Lagrangian observations. Phys. D. 2011; 240: 166179.
  31. Yaremchuk M , Nechaev D , Pan C . A hybrid background error covariance model for assimilating glider data into a coastal ocean model. Mon. Weather. Rev. 2011; 139: 18791890.
  32. Zhang Y , Bellingham J. G , Chao Y . Error analysis and sampling strategy design for using fixed or mobile platforms to estimate ocean flux. J. Atmos. Ocean. Tech. 2010; 27: 481506.
  33. Zupanski D , Hou A. Y , Zhang S. Q , Zupanski M , Kummerow D , co-authors . Applications of information theory in ensemble data assimilation. Quart. J. Roy. Meteorol. Soc. 2007; 1545: 15331545.
Language: English
Page range: 20319 - 20319
Submitted on: Dec 20, 2012
Accepted on: Sep 27, 2013
Published on: Dec 1, 2013
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2013 E. T. Spiller, A. Apte, C. K. R. T. Jones, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.