A Markov chain model for the probability of drought incidence in India
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.
How to Cite
Copyright (c) 2021 MAUSAM
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