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Record W2092721404 · doi:10.1134/s0001433806040098

Modeling of vertical heat and moisture transfer and carbon exchange in the soil-vegetation-atmosphere system

2006· article· en· W2092721404 on OpenAlexaboutno aff
L. S. Kuchment, V. N. Demidov, Zoya Startseva

Bibliographic record

VenueIzvestiya Atmospheric and Oceanic Physics · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceTranspirationInterceptionVegetation (pathology)Atmosphere (unit)Water contentAtmospheric sciencesEvaporationSensible heatMoistureSoil scienceHydrology (agriculture)PhotosynthesisGeologyEcologyMeteorologyChemistryGeography

Abstract

fetched live from OpenAlex

A physical and mathematical model of the vertical heat and moisture transfer and the carbon exchange in the soil-vegetation-atmosphere system is proposed that includes the interaction between these processes. The model describes the interception of precipitation by plants and its further evaporation, transpiration, evaporation from a soil surface as well as vertical moisture transfer, photosynthesis, and plant and soil respiration. The model has been verified against data from observations of heat, moisture, and carbon dioxide fluxes at a grassland site (international FIFE experiment, Kansas, United States), in a pine forest (BOREAS, Saskatoon, Canada), and in a broad-leaved mixed forest (FLUXNET measurements in the southeastern United States). Numerical experiments with the models have been conducted to estimate the influence of soil moisture and atmospheric CO2 concentration on transpiration and carbon exchange of the vegetation cover.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.005
GPT teacher head0.169
Teacher spread0.164 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2006
Admission routes1
Has abstractyes

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Same venueIzvestiya Atmospheric and Oceanic PhysicsSame topicPlant Water Relations and Carbon DynamicsFrench-language works237,207