Articles | Volume 26, issue 1
https://doi.org/10.5194/nhess-26-315-2026
© Author(s) 2026. This work is distributed under the Creative Commons Attribution 4.0 License.
Research article
| 
20 Jan 2026
Research article |
| 20 Jan 2026
| 20 Jan 2026
Meteorological Drought Trend Analysis and Forecasting Using a Hybrid SG-CEEMDAN-ARIMA-LSTM Model Based on SPI from Rain Gauge Data
Cited articles
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Alquraish, M., Abuhasel, K. A., Alqahtani, S. A., and Khadr, M.: SPI-based hybrid hidden Markov–GA, ARIMA–GA, and ARIMA–GA–ANN models for meteorological drought forecasting, Sustainability, 13, 12576, https://doi.org/10.3390/su132212576, 2021.
Ashraf, M. S., Shahid, M., Waseem, M., Azam, M., and Rahman, K. U.: Assessment of variability in hydrological droughts using the improved innovative trend analysis method, Sustain., 15, 9065, https://doi.org/10.3390/su15119065, 2023.
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