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Record W4400365792 · doi:10.5194/ems2024-16

Climate conditions of the coastal part of Labrador in the late 18th century

2024· preprint· en· W4400365792 on OpenAlexaboutno aff
G. P. Singh, Rajmund Przybylak, Andrzej Araźny, Przemysław Wyszyński, Konrad Chmist

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyGeographyClimate changeClimatologyPhysical geographyEnvironmental scienceGeology

Abstract

fetched live from OpenAlex

This study focuses on the analysis of air temperature, pressure and wind conditions of Labrador's coastal region in the period 1771-1787.To reconstruct the climatic conditions of this historical era, we draw upon invaluable instrumental meteorological observations made by the Moravian missionaries. All data were taken from three primary archival collections: the Moravian Archives in Herrnhut (Germany), the Moravian Archives at Muswell Hill in London, and the Archives of the Royal Society in London (Great Britain).The eighteenth-century Moravian missionary observations offer a unique perspective on the climate of the Labrador coast, providing essential data on air temperature, atmospheric pressure, wind force and direction, and short descriptions of the weather, observed two, three, or four times a day. By examining records in a detailed and systematic manner, we aim to better understand the region's climate variability and trends during the early instrumental period. For this study, we utilized sub-daily air temperature, atmospheric pressure, and wind force and direction measurements from three sites: Nain (1771-1786), Okak (1776-1787), and Hoffenthal (1782-1786). All available historical data were quality controlled and converted to present units (°C, hPa, ms˗1 ). The necessary corrections to all studied variables were introduced. For example, the original daily air temperature means (calculated from different measurement times) were corrected to real means calculated from 24 hourly measurements. Corrections for each month were calculated based on contemporary data (1991–2010). The corrected data have been used to calculate monthly, seasonal and yearly means and other statistics. For example, we calculated a number of different categories of cold/warm days, growing degree days sum (GDD), air thawing index degree-days sums (ATI), positive degree-days sum (PDD) and air freezing index degree-days sum (AFI). The last four indices were calculated using definitions proposed by Nordli et al. (2020). The climate conditions of the study period in the coastal part of Labrador are compared to present-day ones.The work was supported by the National Science Centre, Poland project No. 2020/39/B/ST10/00653.References:Nordli, Ø., Wyszyński, P., Gjelten, H. M., Isaksen, K., Łupikasza, E., Niedźwiedź, T., and Przybylak, R., 2020, Revisiting the extended Svalbard Airport monthly temperature series, and the compiled corresponding daily series 1898–2018, Polar Res., 39, 3614, http://dx.doi.org/10.33265/polar.v39.3614.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.828
Threshold uncertainty score0.343

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.022
GPT teacher head0.267
Teacher spread0.244 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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