A Markov chain model for the probability of drought incidence in India

Authors

  • A. CHOWDHURY Meteorological Office, Pune
  • V. P. ABHYANKAR Meteorological Office, Pune

DOI:

https://doi.org/10.54302/mausam.v35i3.2223

Abstract

Seasonal rainfall departures for the period 1875-1974 have been subjected by Markov Chain analysis to determine the conditional probabilities of drought/non-drought years. This has been done by selecting one meteorological sub-division, from each of the climatic type, viz., per-humid, humid, sub-humid (dry and moist), semi-arid and arid regions. Expected length of climatic cycles, that is, drought spell followed by a non-drought spell and vice versa, have also been computed and discussed.

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Published

01-07-1984

How to Cite

[1]
A. CHOWDHURY and V. P. ABHYANKAR, “A Markov chain model for the probability of drought incidence in India”, MAUSAM, vol. 35, no. 3, pp. 403–405, Jul. 1984.

Issue

Vol. 35 No. 3 (1984): MAUSAM

Section

Research Papers

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