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arXiv · 1003.1771

Data Driven Computing by the Morphing Fast Fourier Transform Ensemble Kalman Filter in Epidemic Spread Simulations

Jan Mandel·Jonathan D. Beezley·Loren Cobb·Ashok Krishnamurthy
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Abstract

The FFT EnKF data assimilation method is proposed and applied to a stochastic cell simulation of an epidemic, based on the S-I-R spread model. The FFT EnKF combines spatial statistics and ensemble filtering methodologies into a localized and computationally inexpensive version of EnKF with a very small ensemble, and it is further combined with the morphing EnKF to assimilate changes in the position of the epidemic.

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Jan Mandel, Jonathan D. Beezley, Loren Cobb, Ashok Krishnamurthy. 2010-03-09. Data Driven Computing by the Morphing Fast Fourier Transform Ensemble Kalman Filter in Epidemic Spread Simulations. https://arxiv.org/abs/1003.1771

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