Analysis of Rainfall Using Family of Innovative Trend Methods for Climate Change Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3557-4_34
Reference15 articles.
1. Ali R, Kuriqi A, Abubaker S, Kisi O (2019) Long-term trends and seasonality detection of the observed flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method. Water 11:1855. https://doi.org/10.3390/w11091855
2. Ceribasi G, Ceyhunlu AI (2021) Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method. J Wat Clim Chang 12(5):1532–1543
3. Ceribasi G, Ceyhunlu AI, Ahmed N (2021a) Analysis of temperature data by using innovative polygon trend analysis and trend polygon star concept methods: a case study for Susurluk Basin, Turkey. Acta Geophys. https://doi.org/10.1007/s11600-021-00632-3
4. Ceribasi G, Ceyhunlu AI, Ahmed N (2021) Innovative trend pivot analysis method (ITPAM): a case study for precipitation data of Susurluk Basin in Turkey. Acta Geophys 69:1465–1480
5. Cui L, Wang I, Lai Z, Tian Q, Liu W, Li J (2017) Innovative trend analysis of annual and seasonal air temperature and rainfall in the Yangtze River Basin, China during 1960–2015. J Atmos Solar-Terr Phys 164:48–59
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