Last Glacial Maximum climatic conditions in the Polish part of the High Tatra Mountains (Western Carpathians)
Bibliographic record
Abstract
Palaeoclimatic conditions in the Polish part of the High Tatra Mountains during the Last Glacial Maximum (LGM) were reconstructed based on the former glacial topography with the use of two independent glacier-climate models. The extent of the palaeoglaciers was determined using the glacial-geomorphological record of terminal and lateral moraines as well as trimlines. Two north-faced prominent glaciers were reconstructed (Sucha Woda/Panszczyca and Biala Woda) with their surface areas as 15.2 and 40.3 km 2 , respectively. The equilibrium line altitudes (ELA) of these glaciers were determined at the level of 1460 and 1480 m a.s.l. Modelled palaeoclimatic parameters show a mean summer temperature of about 0.3°C and mean annual precipitation of around 580 mm at the equilibrium line altitude of the former glaciers. This means that the summer temperature was lower by 10°C and precipitation was lower by about 60% in relation to the modern conditions. The mean annual temperature was lower by at least 12°C. On the basis of palaeoclimatic data the modern snowline altitude was established at the level of 2450–2550 m a.s.l. This indicates an ELA depression of 1000–1100 metres. Reconstructed climatic parameters at the ELA and ablation gradients indicate that both glaciers were similar to the modern glaciers in Canadian Arctic. Such climatic conditions in Central Europe indicate a cold and dry climate characteristic of the subarctic zone.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".