Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-559-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-559-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating propagation probability from meteorological to ecological droughts using a hybrid machine learning copula method
Tianliang Jiang
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Northwest A & F University, Yangling, Shaanxi 712100, China
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Northwest A & F University, Yangling, Shaanxi 712100, China
Gengxi Zhang
College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225009, China
Te Zhang
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Northwest A & F University, Yangling, Shaanxi 712100, China
Haijiang Wu
College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling, Shaanxi 712100, China
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Northwest A & F University, Yangling, Shaanxi 712100, China
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- Understanding drought propagation through coupling spatiotemporal features using vine copulas: A compound drought perspective G. Yang et al. https://doi.org/10.1016/j.scitotenv.2024.171080
- Meteorological-to-agricultural drought propagation based on the "Press-Pulse" framework K. Feng et al. https://doi.org/10.1016/j.agwat.2026.110501
- Compound droughts under climate change in Switzerland C. von Matt et al. https://doi.org/10.5194/nhess-24-1975-2024
- Multivariate uncertainty analysis of severity–duration–magnitude–frequency curves using Khoudraji copula and bootstrap method M. Achite et al. https://doi.org/10.1080/02626667.2025.2583265
- RETRACTED ARTICLE: Artificial intelligence-based solutions for climate change: a review L. Chen et al. https://doi.org/10.1007/s10311-023-01617-y
- A framework for identifying propagation from meteorological to ecological drought events Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2023.130142
- Triggering thresholds and influential factors in the propagation of meteorological drought to hydrological drought N. Zhen et al. https://doi.org/10.1016/j.ejrh.2025.102184
- A new multivariate agricultural drought composite index based on random forest algorithm and remote sensing data developed for Sahelian agrosystems I. Hanadé Houmma et al. https://doi.org/10.1080/19475705.2023.2223384
- Bayesian analysis of variance for quantifying multi-factor effects on drought propagation Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2024.130911
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Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
A hybrid method is developed for calculating the propagation probability of meteorological to ecological drought at different levels. Drought events are identified from a three-dimensional perspective. A spatial and temporal overlap rule is developed for extracting propagated drought events.
A hybrid method is developed for calculating the propagation probability of meteorological to...