Fitting of a Markov chain model for daily rainfall data at Calcutta

Authors

  • A. N. BASU River Research Institute, Calcutta

DOI:

https://doi.org/10.54302/mausam.v22i1.3984

Abstract

A Markov chain probability model has been fitted to the daily rainfall data recorded at Calcutta. The 'wet spell' and 'weather cycles' are found to obey geometric distribution, The distribution of the number of rainy days per week has been calculated and compared with the actual data.

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Published

1971-01-01

Issue

Vol. 22 No. 1 (1971): MAUSAM

Section

Shorter Contribution

Categories

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How to Cite

[1]
“Fitting of a Markov chain model for daily rainfall data at Calcutta”, MAUSAM, vol. 22, no. 1, pp. 67–74, Jan. 1971, doi: 10.54302/mausam.v22i1.3984.