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Record W7107872896 · doi:10.21352/q1rn-0246

Chapter 6: Terrestrial hydrology

2024· article· en· W7107872896 on OpenAlexaboutno aff

Bibliographic record

VenueKTH Publication Database DiVA (KTH Royal Institute of Technology) · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostSnowmeltStreamflowArcticSnowPrecipitationHydrology (agriculture)Drainage basinDischarge

Abstract

fetched live from OpenAlex

• Precipitation has increased over recent decades, especially incold seasons, and is associated with an increase in rainfallin all seasons and a decrease in snowfall in summer, withspatially varying trends in winter. This century, precipitationevents presently regarded as extremes are expected to becomeroutine. Snow mass has decreased across northern NorthAmerica, but in Eurasia the trend has been negligible andsnow depth has increased in parts of Eurasia. • Permafrost thaw is likely to drive changes in the waterbalance in Arctic areas, but the relevant subsurface processesare difficult to observe directly at the catchment scale.However, observed changes in streamflow dynamics andwater chemistry indicate that permafrost thaw is influencinghydrological connectivity by creating deeper and longerwaterflow pathways through catchments across the Arctic. • Increasing trends in annual river discharge to the Arctic Oceanfrom both continents have continued, providing compellingevidence of intensification of the Arctic water cycle. Asignificant increase in base streamflow during the cold seasonis observed across most regions of the pan-Arctic drainagebasin. The magnitude of maximum river discharge has notchanged significantly; however, the timing of snowmelt freshethas become earlier almost everywhere across the pan-Arctic. • Lake area is declining across the discontinuous permafrostzone. In the continuous permafrost zone, however, the numberof sites with decreasing lake area is similar to the numberwith increasing lake area. Stronger lake area declines in thediscontinuous permafrost zone is consistent with permafrostthaw being further advanced there than in the continuouspermafrost zone. • Ice-cover duration on rivers has declined significantly in coldregions over the past several decades due to later freeze-upand earlier breakup. The observed decline in river ice is likelyto continue in the future due to the projected increase in airtemperature. Maximum river-ice thickness has decreasedsignificantly on most pan-Arctic rivers over the last 50 to60 years, with the greatest decrease observed before 2000. • Lakes are rapidly losing ice across the Northern Hemisphere,with later ice-on dates, earlier ice-off dates, and in some years,some lakes not freezing at all. • Freshwater delivery from Arctic land ice is roughly equivalentto that from North American rivers. Eurasian river dischargeis roughly three times higher. However, the increase in Arcticriver discharge was 1.6 times smaller than the increase infreshwater flux from Arctic land ice. Most of the increasedland-ice freshwater discharge originated from Greenland andArctic Canada. A further increase in freshwater flux fromland ice reduction is likely to continue with the projectedfuture increase in Arctic warming. • Changes in the terrestrial hydrological system have importantimpacts on ecosystems and Arctic livelihoods. Declining snowcover, permafrost, lake area, and lake ice have implications forecosystems, as well as for hunting, fishing, reindeer herding,transportation, and drinking water availability. Impactsalso include feedbacks to the climate and ocean circulationthrough increased freshwater fluxes to the Arctic Ocean andchanges in lake area and ice cover.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.136
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1360.065

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.

Opus teacher head0.040
GPT teacher head0.266
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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