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Record W2900373457 · doi:10.1029/2018gl080963

Late‐July Barrier for Subseasonal Forecast of Summer Daily Maximum Temperature Over Yangtze River Basin

2018· article· en· W2900373457 on OpenAlexaff
Jing Yang, Tao Zhu, Miaoni Gao, Hai Lin, Bin Wang, Qing Bao

Bibliographic record

VenueGeophysical Research Letters · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsEnvironment and Climate Change Canada
FundersNational Natural Science Foundation of China
KeywordsGeopotential heightClimatologySubtropical ridgePredictabilityEnvironmental scienceSubtropicsForecast skillGeopotentialYangtze riverMadden–Julian oscillationStructural basinPrecipitationChinaGeologyMeteorologyGeographyConvection

Abstract

fetched live from OpenAlex

Abstract Dynamical subseasonal forecast skill of summer daily maximum temperature ( T max ) over East China was evaluated based on a 20‐year (1995–2014) subseasonal reforecast data set from the European Centre for Medium‐range Weather Forecasts. A significant late‐July barrier of subseasonal forecast skill was identified for the T max over the Yangtze River Basin, which concurs with a reduction in the prediction skill for the local 500‐hPa geopotential height. This barrier period corresponds to an abrupt transitional phase of the climatological intraseasonal oscillation when the western North Pacific subtropical high abruptly migrates northward from Yangtze River Basin to northern China. The transitional phase of the climatological intraseasonal oscillation features the largest day‐to‐day variance in the position of western North Pacific subtropical high, which may cause the drop of the subseasonal forecast skill for both the geopotential height and T max . The results indicate that the atmospheric subseasonal predictability may be strongly affected by the phases of the local climatological intraseasonal variation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.310
Teacher spread0.269 · 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 designBench or experimental
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

Citations51
Published2018
Admission routes1
Has abstractyes

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