The Glacier Space Zenodo Community hosts datasets generated within the research project “Glacier Space: Assessing the resilience and vulnerability of mountain ice masses.” The project investigates how glacier–atmosphere interactions shape the microclimate over mountain glaciers and how these processes influence glacier stability under ongoing climate change.
Mountain glaciers interact with the atmosphere through a thin, stably stratified boundary layer near the ice surface. This layer often generates a characteristic downslope glacier wind that can partially isolate the glacier from the surrounding atmosphere. We refer to this protective microclimatic regime as a glacier “safe-space.” As glaciers shrink and their geometry changes—typically becoming smaller and steeper—the structure and strength of this boundary layer may weaken. This can increase the influence of external atmospheric disturbances and may accelerate glacier melt through positive feedback mechanisms.
The Glacier Space project combines high-resolution field observations, micrometeorological measurements, remote sensing, and state-of-the-art atmospheric modelling to quantify how glacier microclimates evolve and how the protective “safe-space” may change in a warming climate. Field observations focus on the Alpine glacier Hintereisferner, which provides one of the world’s longest glacier monitoring records and an exceptional infrastructure for cryosphere–atmosphere research.
This community provides open access to datasets produced within the project to support transparent, reproducible, and collaborative research on mountain glaciers and atmospheric processes.
Scope
The Glacier Space Zenodo Community includes datasets generated through observational campaigns, modelling activities, and data processing workflows within the project. Data types may include:
- Micrometeorological measurements
Turbulence observations, eddy covariance fluxes, boundary-layer profiles, and meteorological station data. - Glacier boundary-layer and atmospheric observations
Measurements from towers, radiosondes, Doppler LiDAR, and UAV-based atmospheric sampling. - Remote sensing and terrain data
Terrestrial laser scanning, drone observations, and derived surface or geometric products. - Model simulations
Outputs from high-resolution atmospheric modelling (e.g., large-eddy simulations) and glacier or surface energy balance modelling. - Processed and derived datasets
Quality-controlled observational data, aggregated products, and datasets associated with peer-reviewed publications.
The community aims to provide datasets that support research on glacier–atmosphere coupling, mountain meteorology, turbulent processes, and glacier response to climate change.
Data Policy
Datasets published in this community follow principles of open science and reproducible research.
- Open access: All datasets are made publicly available through Zenodo.
- Persistent identifiers: Each dataset receives a DOI to ensure long-term accessibility and citation.
- Documentation: Data publications include metadata describing instrumentation, measurement protocols, processing steps, and uncertainties where applicable.
- Versioning: Updated or corrected datasets are released as new versions with clear version histories.
- Reuse: Users are encouraged to reuse the data for scientific research, education, and related purposes in accordance with the dataset license.
Where possible, datasets adhere to FAIR principles (Findable, Accessible, Interoperable, Reusable).
Citation Guidelines
When using datasets from this community, please cite the specific dataset DOI provided by Zenodo. Each dataset record contains a recommended citation format.
In addition:
- Cite the associated scientific publications when available.
- Acknowledge the Glacier Space project in resulting publications when the data contribute substantially to the research.
- If multiple datasets are used, cite each dataset individually.
Proper citation ensures that data producers receive credit and supports the continued sharing of high-quality research data.