Spatiotemporal variations in land surface albedo across Canada from MODIS observations
Bibliographic record
Abstract
A detailed knowledge of spatiotemporal variations in surface albedo is crucial if surface-atmosphere energy exchanges are to be accurately represented in climate models. Satellite observations can provide this information. This study uses moderate resolution imaging spectroradiometer (MODIS) data to investigate how summer and winter albedos, and the intra-annual variation in albedo, vary across the Canadian landscape. We show that (i) albedos generally decrease as one moves from grassland to broadleaved forest to needleleaved and mixed forest; (ii) the effects of snow on albedo vary among cover types; (iii) the largest intra-annual albedo variations occur over grasslands, cropland, and tundra; (iv) significant differences in albedo occur not only among broadleaved forest, needleleaf forest, grassland, and tundra, but also among their various canopy types (e.g., open versus closed canopies); and (v) land cover types sharing similar albedos in winter do not necessarily share similar albedos in summer. These trends are caused by differences in canopy structure and are supported to varying degrees by other in situ and remote sensing studies. These results suggest that the use of overly general land cover classes (e.g., needleleaved forest, grassland, tundra) in climate models will ignore important local-scale spatial variations in surface albedo.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".