Évaluation de la reprÉsentativitÉ spatiale thermique des stations mÉtÉorologiques du rÉseau d'Andalousie
Bibliographic record
Abstract
The present paper aims to present a new approach allowing evaluation of the spatial representativity of the air temperature measured at meteorological stations. Taking into account NOAA-AVHRR derived surface temperatures and environmental data of the station surroundings, an evaluation of the meteorological network is made. A series of surface temperature maps are prepared from NOAA-AVHRR images. The spatial variability of the thermal field around each station is analysed together with the environmental conditions and as a function of the season. The zone of spatial representativity for each meteorological station is then defined. The paper presents preliminary results obtained for some meteorological stations in Andalusia in southern Spain. Le present article vise â presenter une nouvelle approche permettant d'evaluer la representativite spatiale de la temperature mesuree aux stations meteorologiques. Ainsi en considerant les donnees satellitaires NOAA-AVHRR et l'information relative au cadre environneme...
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".