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Record W6981883725

Forced and Unforced Permafrost Changes in the Northern Hemisphere during 1901-2100

2021· article· en· W6981883725 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of the Arkansas Academy of Science · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostNorthern HemisphereActive layerClimate changeContext (archaeology)Circumpolar star
DOInot available

Abstract

fetched live from OpenAlex

Permafrost regions are very sensitive to rapid changes in climate and environment. In recent decades, there has been growing interest to better understand the permafrost degradation over the Northern Hemisphere in the context of human-induced climate change. Understanding permafrost dynamics is not only important for infrastructure but also for environmental protection in cold regions. In-situ permafrost measurements are important for assessing permafrost conditions. However, direct permafrost observations are sparse and asymmetrical in both spatial and temporal coverage. Active layer thickness (ALT) modeling is another approach that can overcome many of these limitations, but the models have large uncertainty in predicting future permafrost changes.This doctoral research firstly investigated the impacts of climate forcings on active layer thickness changes over Alaska since 1990 based on data derived from the in-situ Circumpolar Active Layer Monitoring (CALM) measurements. The results suggested that changes in ALT over Alaskan permafrost regions were not only controlled by warming in regional temperature but were also influenced by large-scale atmospheric and oceanic forcings, particularly in the North Atlantic and North Pacific. Meanwhile, an obvious gap was found between simulated and observed active layer thickness, indicating potential uncertainty in model simulations. To quantify these uncertainties, detection and attribution analyses were applied based on simulations made with CESM-LENS and CMIP6 models across the permafrost regions in the northern hemisphere. For a single model (CESM), the multiple ensemble simulations average showed that the deepening ALT during the historical period was generally small over most of the Northern Hemisphere permafrost zone, except in the western Siberia, Mongolia, and portions of the Canadian Arctic. The deepening trends in ALT are projected to increase under the most extreme RCP8.5 scenario and would be two to four times greater than the observed historical trend in ALT. The further evaluation suggested that the CESM model underestimates the ALT changes induced by anthropogenic forcing and overestimates the relative contribution from internal climate variability. When multiple CMIP6 models were analyzed, internal variability plays a minor role compared with anthropogenic forcing over the permafrost region as a whole, especially in a future warmer world. Model uncertainty is the dominant contributor during the historical period, and it is still a considerable source of uncertainty in future projections. The scenario uncertainty becomes increasingly important near the end of the 21st century. These results highlight the need to improve permafrost model physics to reduce the uncertainty of future permafrost projections.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.248
Teacher spread0.223 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2021
Admission routes1
Has abstractyes

Explore more

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