Frequency‐Intensity Decoupling and Drivers of China's Dust Storms From 1961 to 2024

Abstract Dust storms (DSs) have significant impacts on human health, air quality, and terrestrial ecosystems. In recent years, the increasing frequency of extreme DSs has underscored the urgent need to better understand their historical characteristics and dominant drivers. Here, we examined a 64‐year observational record (1961–2024) of springtime DS in China, emphasizing the spatiotemporal variations of DS across different intensities. A significant nationwide decrease in the frequency of DSs has been observed, primarily attributed to a reduction in lower‐intensity (ODS; ordinary DS) events. The proportion of severe and extreme dust storms (SEDS) has significantly increased since the early 2000s, suggesting a transition toward fewer but more intense occurrences. Using machine learning with interpretable methods, we show that ODS are primarily driven by synoptic‐scale dynamics, whereas SEDS are more sensitive to land‐surface deficits. SEDS frequency increases sharply when evaporation reaches extremely low values (