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Record W7127331343 · doi:10.25923/11nn-hn03

NOAA Arctic Report Card 2025 : Precipitation

2025· article· en· W7127331343 on OpenAlexaboutno aff
M. C. Serreze, S. Bigalke, R. Lader, A. Crawford, T. J. Ballinger

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOrographyPrecipitationArcticStormConvective storm detectionThe arcticArchipelagoConvectionSeasonality

Abstract

fetched live from OpenAlex

Annual precipitation over the Arctic region, taken here as poleward of 60° N, is characterized by high totals over the Atlantic sector due to open water and the frequent passage of storm systems, locally exceeding 2000 mm, and generally dry conditions elsewhere. Polar desert, with annual precipitation of 250 mm or less, characterizes much of the Canadian Arctic Archipelago and central Arctic Ocean, reflecting cold conditions and distance from moisture sources. However, within these patterns, there is strong seasonality and local to regional variability related largely to the passage of storms and forced uplift of air masses by orography (orographic precipitation). Convective precipitation (thunderstorms), caused by strong surface heating, is found over land areas in summer. However, convective precipitation also occurs over the ice-free ocean in some circumstances.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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.

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
Published2025
Admission routes1
Has abstractyes

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