A stochastic model of drought

Authors

  • P. P. KAMTE Indian Institute of Tropical Meteorology, Pune
  • S. D. DAHALE Indian Institute of Tropical Meteorology, Pune

DOI:

https://doi.org/10.54302/mausam.v35i3.2219

Abstract

The paper deals with an application of stochastic process to daily rainfall series of various meteorological sub-divisions and of different climatic regimes. An Auto-regressive AR(1) model is used to generate m-day minimum rainfall with the auto-correlations estimated through statistically transformed distribution of minimum rainfall of different durations. The model statisfactorily explains the observed minimum rainfall of different durations, Further, the probabilities of minimum rainfall of different durations are estimated to understand how best one can delineate the areas of droughts.

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Published

01-07-1984

How to Cite

[1]
P. P. KAMTE and S. D. DAHALE, “A stochastic model of drought”, MAUSAM, vol. 35, no. 3, pp. 387–390, Jul. 1984.

Issue

Section

Research Papers