A multifractal cross-correlation investigation into sensitivity and dependence of meteorological and hydrological droughts on precipitation and temperature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-021-04916-1.pdf
Reference69 articles.
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3. Adarsh S, Dharan DS, Nandhu AR, Vishnu BA, Mohan VK, Watorek M (2020) Multifractal description of streamflow and suspended sediment concentration data from Indian river basins. Acta Geophys 68:519–535. https://doi.org/10.1007/s11600-020-00407-2
4. Agana NA, Homaifar A (2017) A deep learning based approach for long-term drought prediction. SoutheastCon 2017. Concord, NC, pp. 1–8. DOI: https://doi.org/10.1109/SECON.2017.7925314
5. Aghelpour P, Bahrami-Pichaghchi H, Kisi O (2020) Comparison of three different bio-inspired algorithms to improve ability of neuro fuzzy approach in prediction of agricultural drought, based on three different indexes. Comput Electron Agric 170:105279. https://doi.org/10.1016/j.compag.2020.105279
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