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Record W2004030008 · doi:10.1080/07055900.2001.9649668

Simulations and retrospective analyses of fraser watershed flows and temperatures

2001· article· en· W2004030008 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueATMOSPHERE-OCEAN · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsSimon Fraser UniversityFisheries and Oceans Canada
Fundersnot available
KeywordsWatershedEnvironmental scienceHydrology (agriculture)GeologyComputer scienceGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract In order to provide better estimates of the thermal‐induced stress encountered by salmon migrating to their spawning grounds, a model is used to hindcast temperatures throughout the mainstem Fraser and Thompson Rivers back to 1953. Tributary and headwater temperatures that are not available prior to 1993 are estimated with both linear regression and neural network techniques. The average root mean square difference between model temperatures and those observed at Hell's Gate, on the lower Fraser River, is computed to be 1.12°C. Historical flow and temperature observations are also used to establish patterns and trends for the Fraser River watershed. The Julian day numbers by which one‐third and one‐half of the integrated yearly discharge had occurred were computed and found to be progressing earlier at the rates of 0.11 and 0.09 days per year, respectively. Both values are significant at the 95% level. Average summer Hell's Gate temperatures from 1941 to 1998 are warming at the rate of 0.012°C per year, though the relatively large standard error of 0.008°C means that this result is not significantly different from zero at the 95% level. However, when the analysis is restricted to 1953 to 1998, the trend becomes 0.022°C per year and the significance level rises to 98%. An analysis of the 1953–98 atmosphere‐to‐river heat exchange at Kamloops and Prince George produces positive increases of 0.52 W m–2 per year and 0.90 W m–2 per year, respectively. When these trends are used to force the river temperature model, they explain approximately 35% of the 1953–98 temperature increase at Hell's Gate. An additional 20% is explained by related increases in the headwater and tributary temperatures. Though these estimates have considerable statistical uncertainty, they nevertheless suggest that most of the river warming can be attributed to climatic effects. Flow rates and river temperatures are also shown to exhibit significant differences in the summers following El Niño and La Niña winters. On average, during the summers following El Niño events, flows are approximately 800 m3 s–1 smaller and river temperatures are approximately 0.9°C higher on the lower Fraser River. Similar estimates are produced for the major tributaries and headwaters of the Fraser and Thompson Rivers. The implications for future salmon recruitment are briefly discussed.

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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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.738

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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