Statistical modeling of annual highest monthly rainfall in Zimbabwe.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
11 05 2022
Historique:
received: 26 11 2021
accepted: 28 04 2022
entrez: 13 5 2022
pubmed: 14 5 2022
medline: 18 5 2022
Statut: epublish

Résumé

The first statistical analysis of maximum rainfall in Zimbabwe is provided. The data are from 103 stations spread across the different climatic regions of Zimbabwe. More than 90% of the stations had at least 50 years of data. The generalized extreme value distribution was fitted to maximum rainfall by the method of maximum likelihood. Probability plots, quantile plots and Kolmogorov-Smirnov tests 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. Twelve of the stations exhibit negative trends and three of the stations exhibit positive trends in rainfall. Estimates of return levels are given for 2, 5, 10, 20, 50 and 100 years.

Identifiants

pubmed: 35546167
doi: 10.1038/s41598-022-11839-9
pii: 10.1038/s41598-022-11839-9
pmc: PMC9095643
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

7698

Informations de copyright

© 2022. The Author(s).

Références

Sci Rep. 2017 Apr 13;7:46466
pubmed: 28406241
Exp Appl Acarol. 1994 Sep;18(9):507-20
pubmed: 7628257

Auteurs

Keith Musara (K)

Department of Statistics, University of Zimbabwe, Harare, Zimbabwe.

Saralees Nadarajah (S)

Department of Mathematics, University of Manchester, Manchester, M13 9PL, UK. mbbsssn2@manchester.ac.uk.

Martin Wiegand (M)

MRC Biostatistics Unit, University of Cambridge, Cambridge, CB2 0SR, UK.

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Classifications MeSH