Spatial and temporal trend analysis of rainfall in Nagaland (India) using machine learning techniques
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12040-024-02320-4.pdf
Reference32 articles.
1. Agbo E P, Nkajoe U and Edet C O 2023 Comparison of Mann–Kendall and Şen’s innovative trend method for climatic parameters over Nigeria’s climatic zones; Clim. Dyn. 60(11–12) 3385–3401.
2. Ahmad I, Zhang F, Tayyab M, Anjum M N, Zaman M, Liu J and Saddique Q 2018 Spatiotemporal analysis of precipitation variability in annual, seasonal and extreme values over upper Indus River basin; Atmos. Res. 213 346–360.
3. Alashan S 2023 Non-monotonic trend analysis using Mann–Kendall with self-quantiles; Theor. Appl. Climatol., https://doi.org/10.1007/s00704-023-04666-z.
4. Becker S, Gemmer M and Jiang T 2006 Spatiotemporal analysis of precipitation trends in the Yangtze River catchment; Stoch. Environ. Res. Risk Assess. 20 435–444.
5. Caloiero T 2020 Evaluation of rainfall trends in the South Island of New Zealand through the innovative trend analysis (ITA); Theor. Appl. Climatol. 139(1–2) 493–504.
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