Assoc. Prof. Dr. Luli Cui | Gravity Hydrology | Best Researcher Award
Faculty Member | Chengdu University | China
Assoc. Prof. Dr. Luli Cui is a highly accomplished researcher whose work significantly advances the fields of remote sensing, hydrology, and climate disaster analysis, making her a strong candidate for a Best Researcher Award. Her research primarily focuses on the detection, monitoring, and assessment of extreme hydrological events and long-term water resource changes through cutting-edge satellite gravity data, including GRACE, GRACE-FO, and Swarm missions. She has made notable contributions to understanding the dynamics of severe drought and flood events affecting vulnerable regions worldwide, such as the Amazon River Basin, the Yangtze River Basin, and Pakistan’s flood-prone territories. Her publications consistently showcase robust methodologies combining multi-source satellite observations, downscaling algorithms such as partitioned random forest models, and advanced spatiotemporal analyses to quantify hydrological anomalies and environmental risks. Through her pioneering efforts, she has provided timely assessments of critical events including the 2023–2024 extreme drought in the Amazon and the 2022 compound heat-drought disaster in the Yangtze River Basin, delivering essential scientific guidance for climate adaptation, ecological protection, and water resource management. Her interdisciplinary collaborations and strong presence in high-impact international journals reflect her commitment to addressing global challenges associated with climate variability and hydrological extremes. Dr. Cui’s innovative research not only enhances scientific understanding of complex Earth system processes but also supports governments and policy makers with data-driven insights required to strengthen resilience in societies facing intensifying environmental threats, demonstrating consistent excellence and leadership in scientific research.
Featured Publications
Hu, J., Cui, L., Meng, J., Guo, H., Lu, Y., & Li, Y. (2025, September 17). Drought dynamic characteristics over Amazon River basin in the past 30 years revealed by multi-source satellite gravity observations. International Journal of Remote Sensing.
Zhou, J., Cui, L., Li, Y., Yao, C., Meng, J., Zou, Z., & Lu, Y. (2025, August 9). GRACE/GFO and Swarm observation analysis of the 2023–2024 extreme drought in the Amazon River Basin. Remote Sensing.
Cui, L., Li, Y., Zhong, B., An, J., Meng, J., Guo, H., & Xu, C. (2025, February). Assessing the impact of 2022 extreme drought on the Yangtze River basin using downscaled GRACE/GRACE-FO data obtained by partitioned random forest algorithm. International Journal of Remote Sensing.
Cui, L., Meng, J., Li, Y., An, J., Zou, Z., Zhong, L., Mao, Y., & Wu, G. (2024, April 30). Spatiotemporal evolution characteristics of 2022 Pakistan severe flood event based on multi-source satellite gravity observations. Remote Sensing.
Cui, L., Zhong, L., Meng, J., An, J., Zhang, C., & Li, Y. (2024, April 12). Spatiotemporal evolution features of the 2022 compound hot and drought event over the Yangtze River Basin. Remote Sensing.