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Statistical modeling of annual highest monthly rainfall in Zimbabwe
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095643/ https://www.ncbi.nlm.nih.gov/pubmed/35546167 http://dx.doi.org/10.1038/s41598-022-11839-9 |
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author | Musara, Keith Nadarajah, Saralees Wiegand, Martin |
author_facet | Musara, Keith Nadarajah, Saralees Wiegand, Martin |
author_sort | Musara, Keith |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9095643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90956432022-05-13 Statistical modeling of annual highest monthly rainfall in Zimbabwe Musara, Keith Nadarajah, Saralees Wiegand, Martin Sci Rep Article 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. Nature Publishing Group UK 2022-05-11 /pmc/articles/PMC9095643/ /pubmed/35546167 http://dx.doi.org/10.1038/s41598-022-11839-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Musara, Keith Nadarajah, Saralees Wiegand, Martin Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title | Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title_full | Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title_fullStr | Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title_full_unstemmed | Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title_short | Statistical modeling of annual highest monthly rainfall in Zimbabwe |
title_sort | statistical modeling of annual highest monthly rainfall in zimbabwe |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9095643/ https://www.ncbi.nlm.nih.gov/pubmed/35546167 http://dx.doi.org/10.1038/s41598-022-11839-9 |
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