Spatio-temporal change in rainfall over five different climatic regions of India
| Autor: | Litan Kumar Ray, N. K. Goel |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
Global and Planetary Change non-stationarity 010504 meteorology & atmospheric sciences rainfall 0208 environmental biotechnology dependence 02 engineering and technology Management Monitoring Policy and Law Environmental technology. Sanitary engineering 01 natural sciences 020801 environmental engineering Environmental sciences stationarity Climatology Environmental science GE1-350 Temporal change trend analysis TD1-1066 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Journal of Water and Climate Change, Vol 12, Iss 7, Pp 3124-3142 (2021) |
| ISSN: | 2408-9354 2040-2244 |
| DOI: | 10.2166/wcc.2021.052 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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