Abstract
Time series consisting of wet and dry days have been studied regarding persistency properties. The conditional probabilities calculated show that the time series approximately behave like simple Markov chains. Using the Markov model some probabilities regarding precipitation have been computed and the results are compared with empirical probabilities.
DOI: https://doi.org/10.3402/tellusa.v17i4.9161 | Journal eISSN: 3035-9554
Language: English
Page range: 484 - 497
Submitted on: Mar 30, 1965
Published on: Jan 1, 1965
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 1965 Bertil Eriksson, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.
