Sensitivity and evaluation of current fire risk and future projections due to climate change: the case study of Greece
Bibliographic record
Abstract
Abstract. Current trends in the Mediterranean climate, and more specifically in Greece, indicate longer and more intense summer droughts that even extend out of season. In connection to this, the frequency of forest fire occurrence and intensity is on the rise. In the present study, the Canadian Fire Weather Index (FWI) is used in order to investigate the relationship between fire risk and meteorological conditions in Greece. FWI is a meteorologically based index designed in Canada and used worldwide, including the Mediterranean Basin, to estimate fire danger in a generalised fuel type based solely on weather observations. Here, an evaluation of the index is initially performed for the Greek territory using fire observations that cover a 15 yr period. Three critical fire risk threshold values are established for the area of Greece based on daily mean meteorological data: FWI = 15, FWI = 30 and FWI = 45, increasing from the northwest to the southeast. Subsequently, a regional climate model is employed providing input for the FWI system to investigate the impacts of climate change on fire risk for two future time periods, 2021–2050 and 2071–2100, under the A1B emissions scenario. Days with critical fire risk are expected to increase by as many as 50 days per year by the end of the century.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".