Abstract
Problems of practical implementation of the computer intensive subsampling methodology are addressed by Monte Carlo simulations of a situation typical for atmospheric time series. The motivating data were collected under Lake-Effect Snow Studies Project in the winter of 1983–1984 over Lake Michigan. Certain enhancements of subsampling methodology are suggested specifically on the issue of optimal block size choice.
Acknowledgements
The research of Alexander Gluhovsky was funded by the National Science Foundation grant no. ATM-9909009 and by the James S. McDonnell Foundation.