Multi-year ground-based irradiance dataset in a northern urban climate
Bibliographic record
Abstract
A multi-year irradiance dataset has been collected using secondary standard pyrheliometer and pyranometers at a Canadian urban test site. Detailed screening algorithms, instrument bias corrections, and uncertainty analyses were undertaken to produce a high accuracy, validated dataset for global horizontal irradiance (GHI), direct normal irradiance (DNI) and diffuse horizontal irradiance (DHI). The inter-comparison of the three instruments is included within a study of the DHI shadowband correction model, and confirms agreement with mean bias errors less than 4%. Comparative studies of measurements with satellite data were undertaken, and the agreement for GHI daily values with NASA satellite data exhibited a relative mean bias error (rMBE) of -1.7% and a relative root mean squared error (rRMSE) of 24.3%. The agreement for DNI hourly values in comparison to SolarAnywhere v3 was -1.2% with an rRMSE of 8.8%. In all three statistical analyses, the agreements are within the instrumental uncertainty, providing very strong validations of the ground-based dataset and of the accuracy of the satellite-derived data. Frequency distribution versus DNI for ground and satellite data are found to have some differences in-line with the nature of their measurement characteristics.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".