Meteorological characteristics of the Canadian Arctic Shelf Exchange Study
Bibliographic record
Abstract
The CASES meteorological program began October 22,2003 and continued until June 20, 2004 (day 295 to day 172, herein "observational period " or "study period").The prograrn consisted of rnanual meteorological sulface observations taken on the hour, atmospheric profiling of temperature, moisture and low-boundary layer winds, continuous cloud base height, integrated column water vapor and cloud liquid water measurements, as well as automated visibility observations.Few continuous meteorological data sets have been made during the fall-winter-spring period in the Southern Beaufort Sea sea-ice environment.Presented here is an overview of the hemispheric, synoptic and local scale meteorology observed from the CCGS Amundsen during the observational period.First, NCEP I reanalysis data were used to examine how the CASES year compared to the 1971-2000 3O-year "nomal".Second, surface 3-hourly isobaric analysis were used to track low-pressure disturbances (LPDs) affecting the CASES region during the observational period to reveal their location of origin and evolution.Third, a monthly (and overall) climatology of several meteorological variables (e.g.cloud type/amount/ceiling, adverse weather, wind, temperature) was produced.Finally, a comparison of data collected from the ship with surrounding Meteorological Service of Canada station data and an investigation into the accuracy of daily averages from NCEP I and NCEP II reanalysis data, North American Regional Reanalysis (NARR) and GEM-Regional analysis data is presented.The investigations reveal the weaknesses and strengths of popular and widely used model data with respect to actual station data with the intentions of improving atmospheric modeling in arctic regions.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".