A probabilistic study of monsoon daily rainfall at Calcutta by Markovian model and trend of rainfall during monsoon season

Authors

  • G. C. BASU
  • SANJIB KUMAR BASU

DOI:

https://doi.org/10.54302/mausam.v52i2.1704

Keywords:

Markov model, One-step transitional probability matrices, Entropy, Limiting probability vector, Redundancy, Trend

Abstract

One-step transitional probability matrices are obtained by Markovian model from one transitional state to other for different rainfall characteristics (such as, non-rainy days, light rains, moderate rains, heavy rains and very heavy rains) at Calcutta (Alipore) for different monsoon months. The disorderness (unvertainty) of the transitional system of the monsoon rainfall characteristics are studied by Shannon’s model. The favourable or unfavourable condition of different states are also studied by redundancy test during monsoon period at Caluctta. A Long-run probability vectors of such rainfall characteristics are found out from probability matrices. A trend in rainfall amounts during monsoon period at Calcutta for each of the monsoon month, June to September, has also been studied here.

Downloads

Published

01-04-2001

How to Cite

[1]
G. C. . BASU and S. K. . BASU, “A probabilistic study of monsoon daily rainfall at Calcutta by Markovian model and trend of rainfall during monsoon season”, MAUSAM, vol. 52, no. 2, pp. 371–378, Apr. 2001.

Issue

Vol. 52 No. 2 (2001): 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.