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ac-lima.bsky.social @ac-lima.bsky.social · 10/05/2026

Work by Barndon & Lima presented at the #EGU2026 🌍🧊 We simulated glacier change over the last 130,000 years across mountain ranges worldwide. The preprint is already available here: zenodo.org/records/1819... #Glaciology #Cryosphere #MountainGlaciers #Paleoglacier #GlacierModelling

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ac-lima.bsky.social @ac-lima.bsky.social · 05/05/2026

How have we been building and validating mountain palaeoglacier models? At #EGU26 I presented: Validation practices in mountain palaeoglacier modelling 🔗 meetingorganizer.copernicus.org/EGU26/EGU26-... #EGU26 #glaciers #paleoclimate #modelling #OpenScience

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

We thank of course the paleoglacier community who provided their data in open-access format! Very proud of this collaborative effort with @berylliumben.bsky.social @iestynbarr.bsky.social @annalchughes.bsky.social #HelenDulfer #MartinMargold

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

A key takeaway: Global knowledge is uneven. 🗺️Some regions are well studied, while others remain major blind spots. This is a roadmap for future research across disciplines. ❄️ Cryosphere 🌦️ Climate 🌱 Ecosystems Our #GLACIMONTIS is openly available here: zenodo.org/records/1560... #OpenScience

zenodo.org

GLACIMONTIS

Disclaimer: All glacier reconstructions in GLACIMONTIS are either openly available, included with explicit author permission, or digitized as derivative products from published figures; original sourc...

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

MANY mountains had glaciers but they didn’t expand everywhere equally. ⛰️ "Local LGMs" are evident everywhere as mountains differed in when glaciers had maximum extent. And some mountain ranges were extensively glaciated, few remained ice-free, and several regions are still poorly constrained.

Classification of mountain ranges (GMBA, level 3) regarding status of glaciation and/or glaciological research during the Local LGM, in green (with reconstruction), yellow (without reconstruction), orange (unassessed) and red (unglaciated). In white the ice sheets during the LGM. In grey background the world countries. Oceans in blue

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

It wasn’t easy to get the data.... Old maps, outdated emails, unresponsive authors are challenges for global compilations. And many papers without open-access data☹

Map showing the percentage of publications per continent where
glacier reconstructions were digitized from figures, relative to the total number of publications reviewed in that continent. Bar chart illustrating the data acquisition methods used across continents by
absolute number of publications. Percentages in the legend indicate the share of each method relative to the entire literature review.

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

Our geodatabase is called #GLACIMONTIS! 🩵 What’s new here: • Global synthesis 🌎 🌍🌏 • Standardised geospatial database 🌐 • Direct link to original studies 🧾 • Identification of major data gaps 🗺️ 🌍 15,000+ glacier reconstructions ⛰️ 271 mountain ranges 📚 209 studies

Global map indicating in white the ice scheets during the LGM, in blue the mountain glaciers, and in grey global countries

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Dr. Suzette Flantua @suzetteflantua.bsky.social · 01/05/2026

We just published a global synthesis of mountain glacier extent during the last ice age! #LGM www.nature.com/articles/s41... @natureportfolio.nature.com Led by marvellous ECR Augusto Lima @ac-lima.bsky.social mountainsinmotion.w.uib.no @mohnfoundation.bsky.social @bjerknes.uib.no #UIB-BIO 🧵👇

Global map indicating in white the ice scheets during the LGM, in blue the mountain glaciers, and in green global countries

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