Detection of Climate Non Stationarity of Indian Rainfall Using Innovative Trend Family of Techniques
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12205-024-1338-3.pdf
Reference55 articles.
1. Achite M, Ceribasi G, Ceyhunlu A, Wałęga A, Caloiero T (2021) The Innovative Polygon Trend Analysis (IPTA) as a simple qualitative method to detect changes in environment—example detecting trends of the total monthly precipitation in semiarid area. Sustainability 13:12674, DOI: https://doi.org/10.3390/su132212674
2. Adarsh S, Janga Reddy M (2015) Trend analysis of rainfall in four meteorological subdivisions of southern India using nonparametric methods and discrete wavelet transforms. International Journal of Climatology 35:1107–1124
3. Adelodun B, Odey G, Cho H, Lee S, Adeyemi KA, Choi KS (2022) Spatial-temporal variability of climate indices in Chungcheong provinces of Korea: Application of graphical innovative methods for trend analysis. Atmospheric Research 280:106420, DOI: https://doi.org/10.1016/j.atmosres.2022.106420
4. Ahmed N, Lu H, Booij MJ, Wang G, Marhaento H, Bhat MS, Adnan S (2022b) Innovative polygon trend analysis of monthly precipitation (1952–2015) in the Hindukush-Karakoram-Himalaya river basins of Pakistan. International Journal of Climatology 42(16):9967–9993, DOI: https://doi.org/10.1002/joc.7875
5. Ahmed N, Wang G, Booij MJ, Ceribasi G, Bhat MS, Ceyhunlu AL, Ahmed A (2022a) Changes in monthly streamflow in the Hindukush-Karakoram-Himalaya Region of Pakistan using innovative polygon trend analysis. Stochastic Environmental Research and Risk Assessment 36:811–830, DOI: https://doi.org/10.1007/s00477-021-02067-0
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