The Relationship Between Large-Scale Relative Vorticity Fields and Rainfall in Syria During the Period, 1980-2020
Bibliographic record
Abstract
This study analyzes the relationship between large-scale relative vorticity fields, a key variable in synoptic movements in mid-latitude regions, and rainfall in Syria. The main elements are analyzed using S-mode Principal Component Analysis (PCA), employing statistical methods such as Canonical Correlation Analysis (CCA) to investigate the relationships between the variables under study. This involves studying the patterns of relative vorticity at different pressure levels (such as hPa 850 and hPa 500) and rainfall data over Syria. The application of relative vorticity activity centers and rainfall was conducted, alongside analyzing the common relationships based on factor results related to these centers to determine any significant correlations. The analysis relied on relative vorticity fields at pressure levels of hPa 850 and hPa 500 at grid points 10°-70° and 10°-70° with a spacing of 2.5°. Monthly relative vorticity values were obtained from the NCEP-DOE reanalysis databases (1981–2020), alongside rainfall data from 14 major stations in Syria. Major patterns from canonical regression analysis indicated changes in relative vorticity at the hPa 500 pressure level throughout the Eastern Mediterranean region and Iraq, connected with rainfall in Syria. An inverse relationship was found between relative vorticity over Eastern Europe and rainfall on the southern shores of the Caspian Sea, as well as a connection between changes in relative vorticity over Turkey and Cyprus and rainfall in Syria. The study also examined the relationship between changes in relative vorticity at hPa 850 over the Arabian Sea and rainfall in Syria.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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 teacher head, 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".