Mapping the Impacts of Iceland's Katla Subglacial Volcano on the Mýrdalsjökull Glacier
Bibliographic record
Abstract
Jökulhlaup is the Icelandic term for a sudden and substantial release of subglacial and/or proglacial water. The subglacial volcano Katla and its associated glacier Mýrdalsjökull, near Iceland's southern coast, have the potential to cause catastrophic jökulhlaups through geothermally induced melting and volcanic eruptions. The resulting jökulhlaups can cause destruction of property and detriment to human life. Water-filled ice depressions (termed ice cauldrons) are produced by enhanced geothermal heating/melting and are large enough to be identified through remote sensing; therefore, ice cauldrons can be used to infer geothermal hot-spot locations and melt rates. To assess the risk of surrounding communities and infrastructure, a map of geothermal hot spots, loss of glacial mass, and meltwater flow paths of the Mýrdalsjökull glacier were created and analysed. Using geospatial analysis, it was determined that three hazard zones – two towns, Alftaver (to the east) and Vik (to the south), as well as Iceland's main highway, Route 1 – are directly in the path of potential jökulhlaups originating from the Mýrdalsjökull-Katla complex. Future research should further constrain meltwater flow paths to determine potential flow discharge rates and areas that are at the greatest risk of flooding.
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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".