## Abstract The Markov chain properties of daily precipitation occurrence, namely, the dependency of the daily precipitation on that of the previous day, are studied based on the daily precipitation data for 30 years (1956β1985) at 14 stations in South Korea. The daily precipitation data at each st
A Markov chain model for daily rainfall occurrence at Tel Aviv
β Scribed by K. R. Gabriel; J. Neumann
- Publisher
- John Wiley and Sons
- Year
- 1962
- Tongue
- English
- Weight
- 376 KB
- Volume
- 88
- Category
- Article
- ISSN
- 0035-9009
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β¦ Synopsis
Abstract
A Markov chain probability model is found to fit Tel Aviv data of daily rainfall occurrence. This accounts for the form of the distributions of dry and of wet spells and of weather βcyclesβ which have been presented in earlier papers. Further aspects of rainfall occurrence patterns may be derived as well, and are found to fit the data. In particular, the distribution of the number of rainy days per week, month or other period is obtained. Numbers of rainy days in different months are apparently independent.
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## Abstract The occurrence of wet and dry spells is a phenomenon most often used to identify the arid and semiβarid lands (ASAL) in Kenya. The use of firstβorder Markov processes that are embedded into a computer model to determine the critical climate extremes is presented. The model uses the conc