As a fundamental component of the Earth’s climate system, snow cover critically mediates surface radiative forcing, terrestrial water storage, and large-scale atmospheric momentum exchange. Its long-term trends are a direct fingerprint of global warming, yet the scientific literature on snow cover dynamics has grown exponentially, posing substantial challenges for systematic knowledge synthesis. To map the intellectual landscape of Northern Hemisphere (NH) snow cover dynamics, we conducted a comprehensive bibliometric review of this corpus based on 10,350 peer-reviewed articles retrieved from the Web of Science. The bibliometric analysis reveals a sustained upward trajectory in publication output, with core journals concentrated in Remote Sensing, Journal of Geophysical Research: Atmospheres, and The Cryosphere, and leading research institutions represented by the Chinese Academy of Sciences, the French National Centre for Scientific Research, and the University of Colorado Boulder. Methodologically, this field is shifting toward the integration of high-resolution remote sensing with intelligent algorithms. Geographically, research hotspots are predominantly located in high-mountain areas, with additional focus on typical snow zones across North America, Europe, Russia, Central Asia, and the Tibetan Plateau. Despite ongoing advances in remote sensing and algorithmic techniques, the synergistic integration of multi-source snow data and the operational production of long-term, high-resolution hemispheric snow cover products remain critical bottlenecks that urgently need to be addressed. These findings provide valuable references for optimizing future snow monitoring systems and advancing model development.
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