Enhancing multi-temporal drought forecasting accuracy for Iran: Integrating an innovative hidden pattern identifier, recursive feature elimination, and explainable ensemble learning
Study region: The Bam and Babolar stations are located in hyperarid and humid climates in Iran, respectively. Study focus: The primary objective of this study is to implement Artificial Intelligence (AI) to enhance multistep forecasting of the Standardized Precipitation Evapotranspiration Index (SPE...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825002071 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
