Revealing the spatiotemporal evolution of the 2024 extreme flood in Guangdong Province: Insights from GRACE-FO and in situ measurements

Guangdong Province, located in southern China. This study finely quantified the spatiotemporal evolution of the flood event in April 2024. We analyzed the extreme precipitation process in the Guangdong Province based on the near real-time precipitation data from the China Meteorological Administration Land Data Assimilation System, and reconstructed the daily terrestrial water storage anomalies (TWSA) based on the Gravity Recovery and Climate Experiment Follow-On data as well as various temperature and precipitation data to monitor the spatiotemporal dynamics of the flood. Furthermore, a computationally normalized daily flood potential index (NDFPI) based on the reconstructed daily TWSA was used for flood warning. The results showed that the reconstructed daily TWSA increased by 124.1 mm from April 16 to May 4, and the corresponding water storage increased by 29.3 km 3 in Guangdong Province. The NDFPI issued flood warnings 2 days earlier than water level alerts at most river gauging stations, demonstrating its potential for early flood warning. Further studies showed that the El Niño Southern Oscillation is strongly correlated with TWSA and precipitation anomalies, revealing the crucial driving role of the climate patterns influenced by ENSO in extreme precipitation events. This study provides new insights into flood event monitoring and early warning in southern China. ● Comprehensive monitoring and assessment of the 2024 extreme flood in Guangdong based on reconstructed daily TWSA. ● Spatiotemporal evolution of the 2024 extreme flood in Guangdong was analyzed. ● The WI and NDFPI demonstrated strong early warning capabilities and were validated from multi-source in-situ measurements. ● Possible cause and mechanism of the 2024 extreme flood in Guangdong was revealed.

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Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2025-05-10
DOI
https://doi.org/10.1016/j.ejrh.2025.102451
Citations
5
Primary Topic
Geophysics and Gravity Measurements
Type
article
Field-Weighted Citation Impact
8.97
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article

Revealing the spatiotemporal evolution of the 2024 extreme flood in Guangdong Province: Insights from GRACE-FO and in situ measurements

Xiaohui Wu, Guodong Xu, Yulong Zhong, Yunlong Wu et al.
5 citations
Journal of Hydrology Regional Studies
Geophysics and Gravity Measurements
8.97
article

Revealing the spatiotemporal evolution of the 2024 extreme flood in Guangdong Province: Insights from GRACE-FO and in situ measurements

Xiaohui Wu, Guodong Xu, Yulong Zhong, Yunlong Wu, Cuiyu Xiao, Sulan Liu
article en
5 citations

Abstract

Guangdong Province, located in southern China. This study finely quantified the spatiotemporal evolution of the flood event in April 2024. We analyzed the extreme precipitation process in the Guangdong Province based on the near real-time precipitation data from the China Meteorological Administration Land Data Assimilation System, and reconstructed the daily terrestrial water storage anomalies (TWSA) based on the Gravity Recovery and Climate Experiment Follow-On data as well as various temperature and precipitation data to monitor the spatiotemporal dynamics of the flood. Furthermore, a computationally normalized daily flood potential index (NDFPI) based on the reconstructed daily TWSA was used for flood warning. The results showed that the reconstructed daily TWSA increased by 124.1 mm from April 16 to May 4, and the corresponding water storage increased by 29.3 km 3 in Guangdong Province. The NDFPI issued flood warnings 2 days earlier than water level alerts at most river gauging stations, demonstrating its potential for early flood warning. Further studies showed that the El Niño Southern Oscillation is strongly correlated with TWSA and precipitation anomalies, revealing the crucial driving role of the climate patterns influenced by ENSO in extreme precipitation events. This study provides new insights into flood event monitoring and early warning in southern China. ● Comprehensive monitoring and assessment of the 2024 extreme flood in Guangdong based on reconstructed daily TWSA. ● Spatiotemporal evolution of the 2024 extreme flood in Guangdong was analyzed. ● The WI and NDFPI demonstrated strong early warning capabilities and were validated from multi-source in-situ measurements. ● Possible cause and mechanism of the 2024 extreme flood in Guangdong was revealed.

Journal of Hydrology Regional StudiesVol. 59
Hong Kong Polytechnic University (HK), Chinese Academy of Sciences (CN), China University of Geosciences (CN), Institute of Geodesy and Geophysics (CN)
Climate action
Openalex Percentile: Top 2%
Geophysics and Gravity Measurements
8.97
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