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Record W2531762625 · doi:10.1079/9781780646602.0051

Forest hydrology of mountainous and snow-dominated watersheds.

2016· book-chapter· en· W2531762625 on OpenAlexaboutno aff
W. J. Elliot, Mariana Dobre, A. Srivastava, Kelly Elder, Timothy E. Link, E. S. Brooks

Bibliographic record

VenueCABI eBooks · 2016
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsSnowmeltSnowHydrology (agriculture)Surface runoffHydrographEnvironmental scienceFlooding (psychology)STREAMSGeologyEcologyGeomorphology

Abstract

fetched live from OpenAlex

This chapter focuses mainly on the hydrological processes observed in the mountainous and subalpine temperate coniferous forests in the Western part of North America, in which it broadly include the states of Idaho, Oregon, Washington, northern California, Montana- west of the Continental Divide, in the USA, and the southern British Columbia province in Canada. The chapter establishes that mountainous and snow-dominated forests are major sources of water on every continent. Snow accumulation and melt rates are big drivers of the hydrological processes. Temperature, radiation, and the interaction between rain and snow are major factors in generating runoff. Surface and subsurface flow processes route water from saturated hillsides to deeper groundwater storage or directly to streams, resulting in hydrographs with long duration and low peak flow. Flooding is associated with high rainfall and snowmelt rates, and rain on snow events occurring when soils are saturated. Future climates will likely generate a greater impact on floods from rainfall events and less snow accumulation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.876
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
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.190
Teacher spread0.174 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2016
Admission routes1
Has abstractyes

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