Articles | Volume 27, issue 22
Research article
15 Nov 2023
Research article |  | 15 Nov 2023

Drought cascades across multiple systems in Central Asia identified based on the dynamic space–time motion approach

Lu Tian, Markus Disse, and Jingshui Huang

Data sets

GLDAS Noah Land Surface Model L4 3 hourly 0.25 x 0.25 degree V2.0 H. Beaudoing, M. Rodell, and NASA/GSFC/HSL

Model code and software

Violin Plots for Matlab Bastian Bechtold

Short summary
Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.