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Record W2091885380 · doi:10.1002/hyp.8225

Streamflow response to climatic variability in a complex mountainous environment: Fraser River Basin, British Columbia, Canada

2011· article· en· W2091885380 on OpenAlexaffabout
Robin Thorne, Ming‐ko Woo

Bibliographic record

VenueHydrological Processes · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsMcMaster University
FundersNorthwestern University
KeywordsTributaryStreamflowTeleconnectionSnowmeltPrecipitationStructural basinDrainage basinNorth Atlantic oscillationClimatologyClimate changeDischargePacific decadal oscillationEnvironmental scienceHydrology (agriculture)GeologyPhysical geographySnowOceanographyGeographyEl Niño Southern OscillationMeteorologyGeomorphology

Abstract

fetched live from OpenAlex

Abstract Within an area where the regional climate variability signal is apparent, local factors including location, topography and land characteristics affect hydrological response to the signal. Mountainous areas, such as the Western Cordillera in North America, are expected to possess such local effects. The Fraser River Basin in British Columbia, Canada, contains stations with 40 years of precipitation and discharge records from stations widely distributed across the 217 000 km 2 basin. Correlation coefficients were calculated to relate winter precipitation, spring and summer high flow to several climate indices: Pacific Decadal Oscillation (PDO), Pacific‐North American (PNA) and Southern Oscillation Index (SOI). Analyses confirmed that the level of correlation changes during the snowmelt period and does vary locally within the Basin. Correlation of discharge with the indices also changes along the Fraser River, being strengthened or weakened by the influence of its tributaries. These results caution that in hydrologic investigations, (1) even where the region as a whole manifests a strong teleconnection signal, deviation in signal strength within a medium‐sized basin causes local variations in streamflow response to the regional climatic forcing, and (2) the level of correlation attained by streamflow at a basin outlet does not necessarily apply to its tributary sub‐basins. Copyright © 2011 John Wiley & Sons, Ltd.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.017
GPT teacher head0.194
Teacher spread0.177 · 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

Citations52
Published2011
Admission routes2
Has abstractyes

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