Subsurface hydrology in Arctic and Subarctic Regions
Bibliographic record
Abstract
Groundwater and surface water combine to form a single water resource in Artic and Subarctic regions. Groundwater is a critical for providing water for streams, maintaining ecological systems, and as a water resource. Across Alaska, the Yukon, Northwest Territories, and Nunavut almost 50% of the population rely on groundwater for their drinking water supply, including more than 97% of Yukoners. There are many concerns about Northern groundwater vulnerability due to climate change as arctic warming is two to four times the global average rate, accompanied with increasing precipitation rates.Detecting change in Arctic cryohydrogeologic systems is difficult due to a lack of groundwater observation data. We present results from government groundwater monitoring programs in Alaska and the Yukon, including initial results from the Yukon Observation Well Network (YOWN), a unique observatory for monitoring climate change impacts on northern groundwater. The YOWN was adapted from a small Yukon-wide observation program that started with one observation well at the outlet of the Wolf Creek Research Basin in 2001. The network is rapidly growing with now more than 75 wells between the latitudes of 60.04º and 67.57º, with continuous water level observations and periodic water quality measurements.Observation well results show that groundwater levels follow seasonal and local climate trends, particularly for snow melt. Broadly, the wells show that groundwater recharge is dominated by snow melt, and most wells do not show a seasonal rise in water levels in the fall, as is seen at lower latitudes. The observations show that the snowpack from an antecedent winter is the primary control on a subsequent year’s groundwater levels. Many wells also show multi-year increases in both winter and summer water levels. This ‘groundwater staircase’ demonstrate that some cryohydrogeology systems are affected by multiyear climatic controls across the region. The results have important implications for managing water resource vulnerability and detecting climate change impacts on Northern groundwater systems.
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 | 0.002 |
| 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".