Gary Fowler -- Mathematics Department -- USNA


Courses Fall Semester 2004

SM339 Introduction to Probability and Statistics


Michelson's determination of the speed of light

Michelson1882.pdf Michelson's paper

MichelsonLightSpeed.xls the data.

Chesapeake Bay

April 21, 2004 - Chesapeake Bay Seminar - Extended Kalman Filter

Gelb, A., et al., Applied Optimal Estimation. MIT Press (1974).

Ide, K., Courtier, P., Ghil, M., Lorenc, A., “Unified Notation for Data Assimilation: Operational, Sequential and Variational.” J. Met. Soc. Japan, 75 (1997) 181-189.

Ide, K., Kuznetsov, L., Jones, C., “Lagrangian data assimilation for point vortex systems.” Journal of Turbulence, 3 (2002) .

Ide, K., Ghil, M., “Extended Kalman filtering for vortex systems. Part I: Methodology and point vortices. Part II: Rankine vortices and observing-system design.” Dynamics of Atmospheres and Oceans, 27 (1997) 301-350.

Kalman, R.E., "A New Approach to Linear Filtering and Prediction Problems." Transaction of the ASME - Journal of Basic Engineering 82 (1960) 35-45.

Kuznetsov, L., Ide, K., Jones, C., “A method for assimilation of Lagrangian dataMonthly Weather Journal.

Welch, G., Bishop, G., “An Introduction to the Kalman Filter.” UNC TR 95-041 (2003).

Data

Air pollution data: Pollution.mat


Craeted by Prof. G. Fowler. Last modified 12-30-2004.