Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches

This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test was employed to detect the abrupt change point in time frame, while the Mann-Kendall (MK) test and Sen’s Innovative t...

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Detalles Bibliográficos
Autores principales: Praveen, Bushra, Talukdar, Swapan, Shahfahad, Mahato, Susanta, Mondal, Jayanta, Sharma, Pritee, Islam, Abu Reza Md. Towfiqul, Rahman, Atiqur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316787/
https://www.ncbi.nlm.nih.gov/pubmed/32587299
http://dx.doi.org/10.1038/s41598-020-67228-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316787/
https://www.ncbi.nlm.nih.gov/pubmed/32587299
http://dx.doi.org/10.1038/s41598-020-67228-7

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