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.
Research article
| 
27 Jan 2023
Research article |
| 27 Jan 2023
| 27 Jan 2023
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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Cited
18 citations as recorded by crossref.
- 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
- Understanding drought propagation through coupling spatiotemporal features using vine copulas: A compound drought perspective G. Yang et al. 10.1016/j.scitotenv.2024.171080
- A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis Z. Zhou et al. 10.1088/1748-9326/acfe1e
- Deciphering the influence of climate change and human activities on the drought propagation W. Zhao et al. 10.1016/j.ejrh.2024.101654
- 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
- Causality-based drought propagation analyses among meteorological drought, hydrologic drought, and water shortage J. Shiau 10.1016/j.scitotenv.2023.164216
- 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
- Artificial intelligence-based solutions for climate change: a review L. Chen et al. 10.1007/s10311-023-01617-y
- A framework for identifying propagation from meteorological to ecological drought events Y. Wang et al. 10.1016/j.jhydrol.2023.130142
- Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought H. Wang et al. 10.1360/nso/20230022
- 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
- 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
- Bayesian analysis of variance for quantifying multi-factor effects on drought propagation Q. Zhang et al. 10.1016/j.jhydrol.2024.130911
- 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
- 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
- Temporal and spatial propagation characteristics of meteorological drought to hydrological drought and influencing factors Z. Wang et al. 10.1016/j.atmosres.2023.107212
18 citations as recorded by crossref.
- 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
- Understanding drought propagation through coupling spatiotemporal features using vine copulas: A compound drought perspective G. Yang et al. 10.1016/j.scitotenv.2024.171080
- A new perspective for assessing hydro-meteorological drought relationships at large scale based on causality analysis Z. Zhou et al. 10.1088/1748-9326/acfe1e
- Deciphering the influence of climate change and human activities on the drought propagation W. Zhao et al. 10.1016/j.ejrh.2024.101654
- 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
- Causality-based drought propagation analyses among meteorological drought, hydrologic drought, and water shortage J. Shiau 10.1016/j.scitotenv.2023.164216
- 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
- Artificial intelligence-based solutions for climate change: a review L. Chen et al. 10.1007/s10311-023-01617-y
- A framework for identifying propagation from meteorological to ecological drought events Y. Wang et al. 10.1016/j.jhydrol.2023.130142
- Development of a random-forest-copula-factorial analysis (RFCFA) method for predicting propagation between meteorological and hydrological drought H. Wang et al. 10.1360/nso/20230022
- 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
- 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
- Bayesian analysis of variance for quantifying multi-factor effects on drought propagation Q. Zhang et al. 10.1016/j.jhydrol.2024.130911
- 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
- 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
- Temporal and spatial propagation characteristics of meteorological drought to hydrological drought and influencing factors Z. Wang et al. 10.1016/j.atmosres.2023.107212
Latest update: 18 Apr 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...
