A family of stochastic models for droughts
Open Access
- 1 January 1991
- journal article
- research article
- Published by Taylor & Francis in South African Journal of Plant and Soil
- Vol. 8 (4) , 206-211
- https://doi.org/10.1080/02571862.1991.10634835
Abstract
There is no single quantitative definition of a drought; what constitutes a drought depends both on water needs and on storage capabilities. In this paper a family of models is proposed which is sufficiently flexible to cover a range of different situations; the user may select some of the parameters to suit his particular application. The input to the model is a sequence of rainfall values which in turn may be generated by a stochastic model, thus enabling the simulation of a long sequence of rainfall data which allow the user to study the distribution of droughts of any given duration or severity. Several of illustrative examples are given.Keywords
This publication has 3 references indexed in Scilit:
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- Maximum Likelihood Estimation of Fourier Coefficients to Describe Seasonal Variations of Parameters in Stochastic Daily Precipitation ModelsJournal of Applied Meteorology, 1979
- A Markov chain model for daily rainfall occurrence at Tel AvivQuarterly Journal of the Royal Meteorological Society, 1962