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.

Downloads

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

License

Copyright (c) 2021 MAUSAM

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

All articles published by MAUSAM are licensed under the Creative Commons Attribution 4.0 International License. This permits anyone.

Anyone is free:

  • To Share - to copy, distribute and transmit the work
  • To Remix - to adapt the work.

Under the following conditions:

  • Share - copy and redistribute the material in any medium or format
  • Adapt - remix, transform, and build upon the material for any purpose, even
    commercially.

Most read articles by the same author(s)

1 2 3 4 5 > >>