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Abstract Cryosphere has a global role as a biogeophysical phenomenon. It affects the livelihoods of people inhabiting permafrost areas and is affected by human activity within and outside of the cryosphere’s geographical span. “Frozen Commons (FC) are cryosphere resources and landscapes, defined by snow, ice, permafrost, that are experienced, used, protected and managed by groups of people together. This paper highlights collaboration between herders and scientists aimed at improving the understanding of frozen commons in northern Mongolia, a region of rapid cryosphere transformation. The impact of climate change on Indigenous and pastoralist communities in Mongolia is profound, leading to the damage or loss of frozen commons critical for local livelihoods. Therefore, Indigenous and local knowledge becomes crucial in assessing and predicting the climate-driven dynamics of frozen commons. In 2022, 2023, 2024 a team of permafrost scientists, geographers, and economists conducted interviews in reindeer and cattle herder camps in Khövsgöl Aimag (Province) located in the northern part of Mongolia. Local livelihoods depend not only on cattle, which allows us to examine a variety of animal-environment interactions and impacts on pastoralism. The analysis of interviews indicates that frozen commons is a vital resource for the Khövsgöl communities and hold significant importance in their daily lives. Permafrost plays a key role for herders as it provides water resources for pastures and local rivers, which is critical during dry summers. Ice and snow also have many uses, such as a source of water, winter transport, and the basis of cultural events. As winters become shorter and ice conditions become less predictable, the sustainability and availability of these resources for local people are under threat. In light of these challenges, it is imperative to formulate climate adaptation and mitigation strategies through collaborative efforts that actively involve and respect the perspectives of Indigenous and local people. 

TRISH (Tree-Ring Integrated System for Hydrology), a new web-based tool for reconstruction of water-balance variables from tree-ring proxies is described. The tool makes use of a mapping application, a global water balance model and R-based reconstruction software. Long time series of water balance variables can be reconstructed by regression or analog statistical methods from tree-ring data uploaded by the user or available in TRISH as previously uploaded public datasets. A predictand hydroclimatic time series averaged or summed over a river basin or arbitrary polygon can be generated interactively by clicking on the map. Control over reconstruction modeling includes optional lagging of predictors, transformation of predictand, and reduction of predictors by principal component analysis. Output includes displayed and downloadable graphics, statistics, and time series. The two-stage reconstruction approach in TRISH allows assessment of the strength of the hydroclimatic signal in individual chronologies in addition to providing a reconstruction based on the tree-ring network. TRISH facilitates the testing of sensitivity of reconstructions to modeling choices and allows a user to explore hydrologic reconstruction in ungauged basins. The R software for reconstruction is available for running offline in the RStudio development environment. TRISH is an open-science resource designed to be shared broadly across the Earth Science research community and to engage water resource management.