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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31 citations as recorded by crossref.
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- A framework for identifying propagation from meteorological to ecological drought events Y. Wang et al. 10.1016/j.jhydrol.2023.130142
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- 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. 10.1080/19475705.2023.2223384
- Bayesian analysis of variance for quantifying multi-factor effects on drought propagation Q. Zhang et al. 10.1016/j.jhydrol.2024.130911
- Determining the response of ecological drought to meteorological and groundwater droughts in Northwest China using a spatio-temporal matching method T. Jiang et al. 10.1016/j.jhydrol.2024.130753
- Evaluating Ecological Drought Vulnerability from Ecosystem Service Value Perspectives in North China T. Jiang et al. 10.3390/rs16193733
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- Optimizing Crop Spatial Structure to Improve Water Use Efficiency and Ecological Sustainability in Inland River Basin Z. Wu et al. 10.3390/agronomy14081645
- Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
- Deciphering the influence of climate change and human activities on the drought propagation W. Zhao et al. 10.1016/j.ejrh.2024.101654
- Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives S. Materia et al. 10.1002/wcc.914
- A novel framework for assessing the joint and relative impacts of precipitation and groundwater on ecological drought processes in Northwest China T. Jiang et al. 10.1002/hyp.15289
- Assessment of ecological drought vulnerability of the Qinghai-Tibet Plateau from 2003 to 2022 based on multi-source data J. Lei et al. 10.1016/j.catena.2024.108512
- The patterns, magnitude, and drivers of unprecedented 2022 mega-drought in the Yangtze River Basin, China Y. Liu et al. 10.1088/1748-9326/acfe21
- Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach L. Tian et al. 10.5194/hess-27-4115-2023
- Quantifying multidimensional drought propagation risks under climate change: A vine-copula Bayesian factorial analysis method H. Wang et al. 10.1016/j.jhydrol.2024.131396
- Influence of large-scale climate indices and regional meteorological elements on drought characteristics in the Luanhe River Basin M. Li et al. 10.1016/j.atmosres.2024.107219
- Recent development on drought propagation: A comprehensive review Z. Zhou et al. 10.1016/j.jhydrol.2024.132196
- Review article: Towards improved drought prediction in the Mediterranean region – modeling approaches and future directions B. Zellou et al. 10.5194/nhess-23-3543-2023
- Comprehensive propagation characteristics between paired meteorological and hydrological drought events: Insights from various underlying surfaces J. Chen et al. 10.1016/j.atmosres.2023.107193
- Meteorological drought migration characteristics based on an improved spatiotemporal structure approach in the Loess Plateau of China M. Nie et al. 10.1016/j.scitotenv.2023.168813
- Probability links between meteorological drought and hydrological drought from a 3D perspective X. Luo et al. 10.1016/j.ejrh.2024.102001
- Temporal and spatial propagation characteristics of meteorological drought to hydrological drought and influencing factors Z. Wang et al. 10.1016/j.atmosres.2023.107212
- Spatiotemporal desynchronization in the propagation from meteorological to soil moisture drought in the Loess Plateau, China M. Nie et al. 10.1016/j.ejrh.2024.102025
Latest update: 22 Nov 2024
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...