GEO Mountains

GEO Mountains Releases a New Version of Its In Situ Inventory

Written by GEO Mountains, James Thornton
30.10.25 | 01:10

GEO Mountains is pleased to announce the release of Version 3 (v3.2) of its In Situ Inventory – a resource that seeks to make mountain monitoring efforts more visible, discoverable, and accessible to potential users and collaborators.

The Inventory is available as an interactive web map and in two alternative download formats.

What’s New in Version 3.2?

This latest update introduces three major developments:

  1. Expanded coverage – Many more stations and networks are now included.
  2. Network associations – Each station is associated explicitly with the wider network or compilation to which it belongs. Although this means that in some cases the same station appears in more than one network, this approach avoids the challenge of determining whether stations with similar coordinates across different lists represent the same or separate infrastructure.
  3. Mountain range attributed – Stations are now associated with the mountain range in which they are located, according to the GMBA Mountain Inventory v2. The extent of these ranges are also visible on the web map.
Screenshot of the inventory web map interface showing all stations in region of Santiago, Chile (Andes).

Why It Matters

Considering both ‘operational’ and ‘research-oriented’ stations, the total number of entries in the inventory is now well in excess of 100,000. Together with the growing trend for publishing the corresponding time-series via data descriptor articles (e.g. CAMELS, CA-Discharge, PatagoniaMet, EEAR-Clim) and elsewhere (e.g. SECoMet and Poleka Kasué), this suggests that mountains are better monitored than is often assumed, and somewhat challenges longstanding narrative of mountain regions being inherently data-poor. That said, significant challenges in sustaining long-term monitoring, data accessibility, data sharing, and overall data governance remain.

Screenshot of the inventory web map interface showing all stations in the region of Mt. Kilimanjaro (East Africa).

Future Possibilities

Looking ahead, if the Inventory could be made even more comprehensive, particularly with regard to metadata, it could support powerful “data coverage” analyses across space, time, elevation, and discipline. Such analyses would not only highlight data gaps but could also help make the case for increased investment in mountain observation, improved data management, and greater sharing of resources.

Plans are underway for a next release in 2026-2027, with additional metadata and updates as they become known. For any enquiries, please contact us at the GEO Mountains Secretariat: geomountains@mountainresearchinitiative.org

Suggested Citation:

GEO Mountains (2025). Inventory of in situ mountain observational infrastructure, v3.2. DOI: https://zenodo.org/records/17086383

Acknowledgements:

We are extremely grateful to all members of the MRI and GEO Mountains networks and wider mountain monitoring community whose considerable efforts and contributions are reflected in the inventory. We specifically thank the following individuals, who directly contributed data to this v3.2 release:

  • Kaleb Goff (GLORIA Great Basin)
  • Clara Hickman (African Mountain Research Foundation)
  • Jorge Andres Huenante Gutierrez (DGA Chile)
  • Sam Koehler (University of Vermont)
  • Sabine Kraushaar (TUM)
  • Waldo Sven Lavado Casimiro (SENAMHI)
  • Norbert Lanzanasto (Amt der Tiroler Landesregierung, Abteilung Krisen- und Gefahrenmanagement, Lawinenwarndienst)
  • Luis Daniel Llambí (Condesan)
  • Carlo Marin (EURAC Research)
  • Mariano Masiokas (INIGLA)
  • Victor Omoit (TAHMO)
  • Nick Pepin (University of Portsmouth)
  • Jingyao Zheng (Chinese Academy of Sciences)

We gratefully acknowledge the funding support received from the Swiss Agency for Development & Cooperation (SDC) under the Adaptation at Altitude programme, as well as the funding and network coordination support from the Mountain Research Initiative (MRI).

Cover image by Wenhao Ji.