Spatio-temporal change in rainfall over five different climatic regions of India
The present study deals with the estimation of dependences, spatio-temporal trends, change points, and stationarity in rainfall and rainy day series (1901–2013) for five (out of six) different climatic regions of India. Only one-fourth of the station rainfall and rainy day datasets exhibits long-ter...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IWA Publishing
2021-11-01
|
| Series: | Journal of Water and Climate Change |
| Subjects: | |
| Online Access: | http://jwcc.iwaponline.com/content/12/7/3124 |
| _version_ | 1818433361752883200 |
|---|---|
| author | Litan Kumar Ray Narendra Kumar Goel |
| author_facet | Litan Kumar Ray Narendra Kumar Goel |
| author_sort | Litan Kumar Ray |
| collection | DOAJ |
| description | The present study deals with the estimation of dependences, spatio-temporal trends, change points, and stationarity in rainfall and rainy day series (1901–2013) for five (out of six) different climatic regions of India. Only one-fourth of the station rainfall and rainy day datasets exhibits long-term dependence on an annual and seasonal basis. The presence of lag-one serial correlation is prominent for almost all the climatic regions of India. The significant decreasing trend is found mainly for the stations of semi-arid and humid sub-tropical regions. The magnitude of rainfall is decreasing for most parts of the study area by 10% for annual and monsoon seasons. The change point is presented in a smaller number of stations. Non-stationary behaviour is observed for the rainy day series of semi-arid and humid sub-tropical regions, which may increase the temporal variability of rainfall over the same regions. The findings of this study could be very useful for the planning and management of water resources of different climatic regions of India. HIGHLIGHTS
We analyse short-term and long-term dependences, spatio-temporal trends, change point, and stationarity in rainfall and rainy day datasets over five different climatic regions of India.;
Change point detection for different climatic regions over parts of India.;
The trend stationarity and non-stationarity is comparatively lower in rainfall datasets than the rainy day datasets for annual and monsoon seasons.; |
| first_indexed | 2024-12-14T16:19:53Z |
| format | Article |
| id | doaj.art-41406846d821497ea7ec3c67a7f546db |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-12-14T16:19:53Z |
| publishDate | 2021-11-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-41406846d821497ea7ec3c67a7f546db2022-12-21T22:54:49ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542021-11-011273124314210.2166/wcc.2021.052052Spatio-temporal change in rainfall over five different climatic regions of IndiaLitan Kumar Ray0Narendra Kumar Goel1 Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, India Department of Hydrology, Indian Institute of Technology Roorkee, Roorkee 247667, India The present study deals with the estimation of dependences, spatio-temporal trends, change points, and stationarity in rainfall and rainy day series (1901–2013) for five (out of six) different climatic regions of India. Only one-fourth of the station rainfall and rainy day datasets exhibits long-term dependence on an annual and seasonal basis. The presence of lag-one serial correlation is prominent for almost all the climatic regions of India. The significant decreasing trend is found mainly for the stations of semi-arid and humid sub-tropical regions. The magnitude of rainfall is decreasing for most parts of the study area by 10% for annual and monsoon seasons. The change point is presented in a smaller number of stations. Non-stationary behaviour is observed for the rainy day series of semi-arid and humid sub-tropical regions, which may increase the temporal variability of rainfall over the same regions. The findings of this study could be very useful for the planning and management of water resources of different climatic regions of India. HIGHLIGHTS We analyse short-term and long-term dependences, spatio-temporal trends, change point, and stationarity in rainfall and rainy day datasets over five different climatic regions of India.; Change point detection for different climatic regions over parts of India.; The trend stationarity and non-stationarity is comparatively lower in rainfall datasets than the rainy day datasets for annual and monsoon seasons.;http://jwcc.iwaponline.com/content/12/7/3124dependencenon-stationarityrainfallstationaritytrend analysis |
| spellingShingle | Litan Kumar Ray Narendra Kumar Goel Spatio-temporal change in rainfall over five different climatic regions of India Journal of Water and Climate Change dependence non-stationarity rainfall stationarity trend analysis |
| title | Spatio-temporal change in rainfall over five different climatic regions of India |
| title_full | Spatio-temporal change in rainfall over five different climatic regions of India |
| title_fullStr | Spatio-temporal change in rainfall over five different climatic regions of India |
| title_full_unstemmed | Spatio-temporal change in rainfall over five different climatic regions of India |
| title_short | Spatio-temporal change in rainfall over five different climatic regions of India |
| title_sort | spatio temporal change in rainfall over five different climatic regions of india |
| topic | dependence non-stationarity rainfall stationarity trend analysis |
| url | http://jwcc.iwaponline.com/content/12/7/3124 |
| work_keys_str_mv | AT litankumarray spatiotemporalchangeinrainfalloverfivedifferentclimaticregionsofindia AT narendrakumargoel spatiotemporalchangeinrainfalloverfivedifferentclimaticregionsofindia |