Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
Bibliographic record
Abstract
Description: This dataset offers pan-Arctic sea ice deformation and rotation rates (SIDRR) computed from Sentinel1 (S1) and the Radarsat Constellation Mission (RCM) Synthetic Aperture Radar (SAR) imagery, based on Sea Ice Motion (SIM) vector outputs from the Environment and Climate Change Canada Automated Sea Ice tracking System (ECCC-ASITS, Howell et al., 2022). The ASITS produces lists of sea ice motion vectors derived by tracking recognizable features in overlapping pairs of SAR images (Komarov and Barber, 2014). The tracked features from each SAR image pair are triangulated, and the SIDRRs computed using a line integral method (Bouchat et al., 2020, 2022) based on the velocity and start location of each vertex. Format: The raw SIDRR data from multiple SAR images are stacked in daily netcdf output files, based on the acquisition time of the earliest image in the pair. The netcdf files thus include data from variable time and space resolutions depending on the triangulation and images acquisition time, in the ranges of 4 - 20 km and 12 h - 6 days. Each file is named with the convention “SIDRR_YYYYMMDD.nc”. For example, “SIDRR_20210101.nc” contains data from pairs with the first image acquisition time on January 1st, 2021. Dimension and variable names: Dimensions: n triangle ID number Variables: idpair (n) SAR scene pair ID number ids1 (n) ID of triangle vertex 1 ids2 (n) ID of triangle vertex 2 ids3 (n) ID of triangle vertex 3 start_time Acquisition time, SAR image #1 (hrs since ref. time) end_time Acquisition time, SAR image #2 (hrs since ref. time) start_lat1 Start latitude, tracked vertex 1 (ºN) start_lat2 Start latitude, tracked vertex 2 (ºN) start_lat3 Start latitude, tracked vertex 3 (ºN) start_lon1 Start longitude, tracked vertex 1 (ºE) start_lon2 Start longitude, tracked vertex 2 (ºE) start_lon3 Start longitude, tracked vertex 3 (ºE) end_lat1 End latitude, tracked vertex 1 (ºN) end_lat2 End latitude, tracked vertex 2 (ºN) end_lat3 End latitude, tracked vertex 3 (ºN) end_lon1 End longitude, tracked vertex 1 (ºE) end_lon2 End longitude, tracked vertex 2 (ºE) end_lon3 End longitude, tracked vertex 3 (ºE) A Start triangle Area (m2) errA Propagation of tracking error on A (m2) dudx x-direction divergence rate (day-1) dvdy y-direction divergence rate (day-1) dvdx x-direction shear rate (day-1) dudy y-direction shear rate (day-1) vrt vorticity (day-1) err_vrt Propagation of tracking error on vrt (day-1) div Divergent deformation rate (day-1) err_div Propagation of tracking error on div (day-1) shr Shear deformation rate (day-1) err_shr Propagation of tracking error on shr (day-1) s2n Total deformation’s signal to noise ratio
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.043 |
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".