Michael Ghil - Publications#


Complete list of publications(info)

Five Most Relevant Publications (out of a dozen books and over 250 refereed articles and chapters in books):

1. Dijkstra, H. A., and M. Ghil, 2005: Low-frequency variability of the large-scale ocean circulation: A dynamical systems approach, Rev. Geophys., 43, RG3002, doi:10.1029/2002RG000122.

2. Ghil, M., M. D. Chekroun, and E. Simonnet, 2008: Climate dynamics and fluid mechanics: Natural variability and related uncertainties, Physica D, 237, 2111–2126, doi:10.1016/j.physd.2008.03.036 .

3. Ghil, M., and P. Malanotte-Rizzoli, 1991: Data assimilation in meteorology and oceanography, Adv. Geophys., 33, 141–266.

4. Ghil, M., and A. W., Robertson, 2000: Solving problems with GCMs: General circulation models and their role in the climate modeling hierarchy. Ch. 10 in General Circulation Model Development: Past, Present and Future, D. Randall (Ed.), Academic Press, San Diego, pp. 285–325.

5. Ghil, M., I. Zaliapin, and B. Coluzzi, 2008: Boolean delay equations: A simple way of looking at complex systems, Physica D, 237, 2967–2986, doi: 10.1016/j.physd.2008.07.006.

Five Other Significant Publications

1. Ghil, M., and S. Childress, 1987: Topics in Geophysical Fluid Dynamics: Atmospheric Dynamics, Dynamo Theory and Climate Dynamics, Springer-Verlag, New York/Berlin/Tokyo, 485 pp.

2. Ghil, M., 1997: Advances in sequential estimation for atmospheric and oceanic flows. J. Meteor. Soc. Japan, 75, 289–304.

3. Ghil, M., K. Ide, A. F. Bennett, P. Courtier, M. Kimoto, and N. Sato (Eds.), 1997: Data Assimilation in Meteorology and Oceanography: Theory and Practice, Meteorological Society of Japan and Universal Academy Press, Tokyo, 496 pp.

4. Ghil, M., and A. W. Robertson, 2002: "Waves" vs. "particles" in the atmosphere's phase space: A pathway to long-range forecasting? Proc. Natl. Acad. Sci., 99 (Suppl. 1), 2493–2500.

5. Ghil, M., I. Zaliapin, and S. Thompson, 2008: A delay differential model of ENSO variability: parametric instability and the distribution of extremes, Nonlin. Processs Geophys., 15, 417–433.
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