Assessing hydrological drought propagation through assimilation of GRACE for groundwater storage anomalies modelling in northeastern Mexico
Abstract
Section titled “Abstract”Paper summary generated by OpenAI: This study investigates the propagation of hydrological droughts through assimilation techniques, focusing on the integration of remote sensing data and hydrological models. By employing a novel framework, the research quantifies the temporal and spatial dynamics of drought impacts on water resources. The findings reveal significant correlations between drought indicators and hydrological responses, providing insights into the mechanisms of drought propagation. This work contributes to improved drought monitoring and management strategies, emphasizing the importance of data assimilation in hydrological studies.