MODIS-based Retrieval of Atmospheric Water Vapor Content in Northeast China
Bibliographic record
Abstract
Based on MODIS data during June to August in 2008,the atmospheric water vapor content in Northeast China was retrieved by using the two-channel and the three-channel ratio method.The results showed that the two-channel ratio method performed better for the water vapor retrieval in Northeast China,and the determination coefficient for the regression of the retrieved water vapor against the measured value was 0.81.Further more,the comparison of estimated vapor content and real ground data from the sounding stations over the woodland,cropland and grassland revealed that two-channel ratio method was better than three-channel ratio method,and woodland obtained the highest retrieval precision with the determination coefficient of 0.92.Finally,the spatial distribution characteristic of vapor content was analyzed by comparing the data retrieved from the two-channel ratio method with land-use classification data.The atmospheric water vapor content was closely correlated with land-use types when other conditions were similar.Except for dry cropland,the order of average vapor content for different types of land use was basically the same: water-bodypaddy-fieldwoodlandgrasslandunused,which was consistent with the evapo-transpiration pattern of underlying surface.
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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) | 0.005 | 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".