Statistical modeling of monthly maximum rainfall in Senegal

Authors

  • Kouakou Ndri AIMS Senegal, Mbour-Thies, Senegal
  • Saralees Nadarajah University of Manchester, Manchester M13 9PL, UK

DOI:

https://doi.org/10.54302/mausam.v74i1.5607

Keywords:

Generalized extreme value distribution, Maximum likelihood estimator, Return level

Abstract

We provide the first statistical analysis of maximum rainfall in Senegal. The data are from twelve stations spread across Senegal. The generalized extreme value distribution was fitted to maximum rainfall by the method of maximum likelihood. Probability and quantile plots showed that the generalized extreme value distribution provided an adequate fit for all stations. The vast majority of stations do not exhibit significant trends in rainfall. Four of the stations exhibit positive trends in rainfall. Estimates of return levels are given.

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Published

01-01-2023

How to Cite

[1]
K. . Ndri and S. Nadarajah, “Statistical modeling of monthly maximum rainfall in Senegal”, MAUSAM, vol. 74, no. 1, pp. 169–176, Jan. 2023.

Issue

Vol. 74 No. 1 (2023): MAUSAM

Section

Shorter Contribution

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Copyright (c) 2022 MAUSAM

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