The article titled "Borrowing strength: a hierarchical glacier reanalysis through a robust particle filter" from ESS Open Archive describes a sophisticated scientific approach to understanding glacier dynamics and mass balance. While the specific article could not be directly located and verified on the ESS Open Archive platform during real-time search, the scientific concepts embedded in its title are well-established and relevant in glaciology and climate science. "Borrowing strength" refers to statistical methods that leverage information across different datasets or related systems to improve estimates, especially when data is sparse for individual components. In the context of glacier reanalysis, this technique would likely combine data from multiple glaciers or different observational periods to build more robust models of glacier behavior. The paper would likely introduce a hierarchical framework for glacier reanalysis, which allows for modeling at different scales, from individual glaciers to regional or global aggregates, while accounting for uncertainties at each level. The use of a "robust particle filter" suggests an advanced data assimilation method designed to handle non-linear dynamics and non-Gaussian uncertainties often present in complex environmental systems like glaciers. Particle filters are particularly effective for improving model predictions by integrating observations and providing a probabilistic representation of the system state. Such a methodology would aim to enhance the accuracy of historical glacier mass balance reconstructions and improve projections of future glacier melt, which are crucial for understanding sea-level rise and water resource availability, particularly in regions like the Himalayas important to India. ESS Open Archive is a reputable community server for Earth and Space Science research, publishing early research outputs such as preprints, posters, and presentations. While this platform provides rapid dissemination of scientific work, it's important to note that content posted on ESS Open Archive typically undergoes editorial evaluation but is generally not peer-reviewed before publication. Therefore, while the methodology described is scientifically sound, the specific claims and findings of this particular article would require peer review for full scientific validation. The research aligns with ongoing efforts to refine glacier modeling and reanalysis techniques globally.