Methods for Data Assimilation for the Purpose of Forecasting in the Gulf of Cambay (Khambhat)

Authors(2) :-Avinash J. Shah, Dr. Hemant M. Patel

Fluid dynamics, wind wave modeling describes the effort to depict the sea state and predict the evolution of the energy of wind waves using numerical techniques. These simulations consider atmospheric wind forcing, nonlinear wave interactions, and frictional dissipation, and they output statistics describing wave heights, periods, and propagation directions for regional seas or global oceans. forecast has been a key area of investigation and if certain methods can be plotted in order to help in improvement of the forecast it would be salutary to the development in this direction.

Authors and Affiliations

Avinash J. Shah
PhD Scholar, Pacific University, Udaipur, Rajasthan, India
Dr. Hemant M. Patel
Principal (In charge), Bhavan's Sheth R.A. College of Science, Ahmedabad, Gujarat, India

Arabian Sea,Ocean data Assimilation, Climat Change,Kalman Filter, Quasi Geostrophic

  1. S. Akella and I. M. Navon. A comparative study of high resolution advection schemes in the context of data assimilation. International Journal for Numeri¬cal Methods in Fluids, 51:719–748, 2006.
  2. A. Arakawa and V. R. Lamb. A potential enstrophy and energy conserving scheme for the shallow water equations. Monthly Weather Review, 109:18–36, January 1981.
  3. A. Arakawa and V. R. Lamb. Computational design of the basic dynamical processes of the UCLA general circulation model. Methods in Computational Physics, 17: 173–265, 1977.
  4. N. Ayoub. Estimation of boundary values in a North Atlantic circulation model using an adjoint method. Ocean Modelling, 12(3–4):319–347, 2006.
  5. I. J. Barton. Satellite-derived sea surface temperatures: Current status. Journal of Geophysical Research, 100(C5) :8777–8790, May 1995.
  6. G. K. Batchelor. An Introduction to Fluid Dynamics. Cambridge University Press, 1967.
  7. M. J. Bell. Momentum fluxes in the Bryan/Cox ocean circulation model. Journal of Atmospheric and Oceanic Technology, 15(6):1400–1413, December 1998.
  8. J.-D. Benamou and Y. Brenier. A Computational Fluid Mechanics solution to the Monge-Kantorovich mass transfer problem. Numerische Mathematik, 84(3) :375– 393, 2001.
  9. J.-D. Benamou, Y. Brenier, and K. Guittet. The Monge-Kantorovitch mass trans¬fer and its Computational Fluid Mechanics formulation. International Journal of Nu-merical Methods in Fluids, 40(1–2) :21–30, 2000.
  10. A. F. Bennett. Inverse Methods in Physical Oceanography. Cambridge University Press, Cambridge, UK, 1992.
  11. C. W. B¨oning, W. R. Holland, F. O. Bryan, G. Danabasoglu, and J. C. McWilliams. An overlooked problem in model simulations of the thermohaline circulation and heat transport in the Atlantic Ocean. Journal of Climate, 8:515–523, 1995.
  12. Y. Brenier. Polar factorization and monotone rearrangement of vector-valued func¬tions. Communications on Pure and Applied Mathematics, 44(4) :375–483, June 1991.
  13. Y. Brenier and W. Gangbo. LP approximation of maps by diffeomorphisms. Calculus of Variations, 16:147–164, 2003.
  14. K. A. Brewster. Phase-correcting data assimilation and application to storm-scale Numerical Weather Prediction. Part i: Method description and simulation testing. Monthly Weather Review, 13 1:480–492, 2002a.
  15. K. A. Brewster. Phase-correcting data assimilation and application to storm-scale Numerical Weather Prediction. Part II: Application to a severe storm outbreak. Monthly Weather Review, 13 1:493–507, 2002b

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 224-228
Manuscript Number : IJSRSET173862
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Avinash J. Shah, Dr. Hemant M. Patel, " Methods for Data Assimilation for the Purpose of Forecasting in the Gulf of Cambay (Khambhat) , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.224-228, November-December-2017.
Journal URL :

Article Preview