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Record W1608823232

Geology and Wine 6. Terroir of the Red Mountain Appellation, Central Washington State, U.S.A.

2002· article· en· W1608823232 on OpenAlexvenueno aff
Lawrence D. Meinert, Alan J. Busacca

Bibliographic record

VenueGeoscience Canada · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHorticultural and Viticultural Research
Canadian institutionsnot available
Fundersnot available
KeywordsVineyardTerroirGlacial periodLoessGeologyQuaternaryTephraCavePhysical geographyWineVolcanoArchaeologyGeographyGeomorphologyGeochemistryPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Red Mountain is the newest of five appellations in Washington State and like the majority of Washington vineyards its terroir is influenced by 1) the rain shadow effect and volcanic tephra of the Cascade Mountain Range, 2) soils derived from Quaternary glacial sediments and wind-blown loess overlying Miocene basalt, and 3) a warm, dry climate with abundant sunshine and cool nights due to high latitude (N 46e) and topography. Variations of rooting depth, textures, calcium carbonate content, and other properties of vineyard soils are directly influenced by Quaternary glacial flood deposits in the back-eddy of Red Mountain and by the variable nature of the loess and dune cover on the flood deposits. This is the first demonstration of the effect of paleohydrology on vineyard site characteristics. In the past two years, wines made from Red Mountain grapes have received nine scores of > 94 out of 100 in independent blind tastings and merlot wine made from Red Mountain grapes has been ranked as the best in the United States for each of the past two years by two different national wine magazines. Red Mountain is one of the warmest and driest viticultural sites in Washington State, having heat summation (growing degree days) and total sunshine similar to Napa Valley, California which is 1000 km farther south. Other wine regions that have been influenced by the worldwide glacial processes that were so important in the development of Washington vineyards include the gravel mounds that underlie most of the first growth vineyards of Graves-Medoc, Bordeaux, France and some of the outwash gravel plains of New Zealand. Resume L'appellation Red Mountain est la plus recente des cinq appellations de l'Etat de Washington et, comme c'est le cas pour la plupart des vignobles de l'Etat de Washington, son terroir depend 1) de l'effet parapluie de la chaine des monts Cascade et de ses cendres volcaniques, 2) des sols derives des sediments glaciaires quaternaires et des loess eoliens recouvrant le basalte miocene et, 3) d'un climat chaud et sec avec un fort ensoleillement, avec des nuits fraiches dues a la latitude (N 46°) et a la topographie. Les variations de la profondeur d'enracinement, de texture, de contenu en carbonate de calcium et d'autres proprietes pedologiques des vignobles varient selon le patron de depot des alluvions glaciaires quaternaires par ecoulement tourbillonnaire de Red Mountain et de la variation de composition du loess et de la couverture des dunes des depots alluvionnaires. Cela constitue la premiere demonstration des effets paleohydrologiques sur les proprietes des sites vinicoles. Au cours des deux dernieres annees, les vins des raisins de Red Mountain ont recu neuf cotes de plus de 94% lors de degustation anonyme, et les vins merlots provenant de raisins de Red Mountain ont ete juges les meilleurs aux USA pour chacune des deux dernieres annees, par deux revues specialisees d'envergure nationale. La region de Red Mountain constitue l'un des sites viticoles les plus chauds et les plus secs de l'Etat de Washington, possedant un bilan thermique (degre-jour de croissance) et un ensoleillement comparable a ceux de la valleede Napa en Californie, laquelle est situee a 1 000 km plus au sud. Parmi d'autres regions ayant subi l'influence de processus glaciairemondiaux et qui se sont averes si determinant dans le developpement des vignobles de l'Etat de Washington, on retrouve celle des collines graveleuses constituant le lieux de croissance de la plupart des vignobles de premiere generation de Graves-Medoc de la region de Bordeaux en France, et d'autres sur des plaines d'alluvions en Nouvelle-Zelande.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.682
Threshold uncertainty score0.630

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)0.0000.000

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 head0.197
Teacher spread0.182 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2002
Admission routes1
Has abstractyes

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