Journal ArticleDOI
Stochastic modelling of rainfall occurrences in continuous time
TLDR
In this paper, the Alternating Renewal Process is employed for the evaluation of probability distribution functions for total wet and dry periods over a homogeneous time interval (0, t).Abstract:
The paper is concerned with the modelling of rainfall occurrence in continuous time. The Alternating Renewal Process is employed for the evaluation of probability distribution functions for total wet and dry periods over a homogeneous time interval (0, t). The derived general solution is simplified by assuming that the individual wet and dry intervals are random variables following an Erlang distribution, in particular an exponential distribution. Data on a continuous time scale from the Mikra Station in Greece are used to illustrate the proposed methodology.read more
Citations
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Spatial and Temporal Analysis of Dry and Wet Spells in Upper Awash River Basin, Ethiopia
TL;DR: In this paper, the probability of dry/wet spell rainfall using the Markov chain model in the Upper Awash River Basin, Ethiopia, was analyzed on a dekadal scale over a 30-year period.
Journal ArticleDOI
A probabilistic long‐term framework for site‐specific erosion analysis of wind turbine blades: A case study of 31 Dutch sites
Amrit Shankar Verma,Amrit Shankar Verma,Zhiyu Jiang,Zhengru Ren,Marco Caboni,Hans Verhoef,Harald van der Mijle-Meijer,Saullo G.P. Castro,Julie J.E. Teuwen +8 more
TL;DR: In this paper, a probabilistic long-term framework for assessing site-specific lifetime of a WTB coating system is proposed. But the authors do not consider the impact of wind turbine blades on wind farms.
Journal ArticleDOI
Improving a stochastic multi-site generation model of daily rainfall using discrete wavelet de-noising: a case study to a semi-arid region
TL;DR: A combined model of wavelet transform analysis and multi-site stochastic generation model of daily rainfall data and validation of the statistical characteristics of the obtained generated series demonstrates that the model performs very well with noisy data as well as with the de-noised ones.
Journal ArticleDOI
Optimal stochastic multi-states first-order Markov chain parameters for synthesizing daily rainfall data using multi-objective differential evolution in Thailand
TL;DR: In this article, three probability distributions functions (PDFs) for generating daily rainfall amounts in the last Markov Chain state were compared, including the shifted exponential distribution, the exponential distribution and the two-parameter gamma distribution.
Journal ArticleDOI
Stochastic modelling of point rainfall in a Mediterranean island environment
D. Efremides,Georges Tsakiris +1 more
TL;DR: In this article, a stochastic simulation model of daily rainfall in discrete time is proposed, which simulates the sequence of rainfall occurrences using the method of transition probability matrices.
References
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Journal ArticleDOI
A Markov chain model for daily rainfall occurrence at Tel Aviv
K. R. Gabriel,J. Neumann +1 more
TL;DR: In this article, a Markov chain probability model is used to fit Tel Aviv data of daily rainfall occurrence, which accounts for the form of the distributions of dry and of wet spells and of weather cycles.
Journal ArticleDOI
Climate, soil, and vegetation: 2. The distribution of annual precipitation derived from observed storm sequences
TL;DR: In this paper, the cumulative distribution function for normalized annual precipitation is derived in terms of two parameters of the storm sequence, the mean number of storms per year and the order of the gamma distribution.
Journal ArticleDOI
The mathematical structure of rainfall representations: 1. A review of the stochastic rainfall models
Edward C. Waymire,Vijay K. Gupta +1 more
TL;DR: The first part of a three-part series on the mathematical structure of rainfall models is presented in this article. But the mathematical structures that arise in the rainfall descriptions are not discussed.
Journal ArticleDOI
Some remarks on the use of daily rainfall models
TL;DR: In this article, the authors described features of daily rainfall processes using data from different sites of the world and modelled the process of rainfall occurrence by an alternating renewal process or by a Markov chain.
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