Volume 7 Issue 1
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Jacques GOLDER, Maminirina JOELSON, Marie-Christine NEEL, Liliana DI PIETRO. 2014: A time fractional model to represent rainfall process. Water Science and Engineering, 7(1): 32-40. doi: 10.3882/j.issn.1674-2370.2014.01.004
Citation: Jacques GOLDER, Maminirina JOELSON, Marie-Christine NEEL, Liliana DI PIETRO. 2014: A time fractional model to represent rainfall process. Water Science and Engineering, 7(1): 32-40. doi: 10.3882/j.issn.1674-2370.2014.01.004

A time fractional model to represent rainfall process

doi: 10.3882/j.issn.1674-2370.2014.01.004
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  • Corresponding author: Jacques GOLDER
  • Received Date: 2012-10-20
  • Rev Recd Date: 2013-06-03
  •  This paper deals with a stochastic representation of the rainfall process. The analysis of a rainfall time series shows that cumulative representation of a rainfall time series can be modeled as a non-Gaussian random walk with a log-normal jump distribution and a time-waiting distribution following a tempered α-stable probability law. Based on the random walk model, a fractional Fokker-Planck equation (FFPE) with tempered α-stable waiting times was obtained. Through the comparison of observed data and simulated results from the random walk model and FFPE model with tempered α-stable waiting times, it can be concluded that the behavior of the rainfall process is globally reproduced, and the FFPE model with tempered α-stable waiting times is more efficient in reproducing the observed behavior.    

     

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