Data and source code used for "Simulation of tilted rooftop photovoltaic panels at city scale: Novel measurements, model development and application in WRF"
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<p>This dataset contains the data and source code used to generate the figures in the article “Simulation of tilted rooftop photovoltaic panels at city scale: Novel measurements, model development and application in WRF” published in J Geophysical Res: Atmospheres.</p><p>City-wide deployment of rooftop photovoltaic (PV) panels has been proposed as an effective mitigation strategy since PV panels can shade the underlying surface and generate electricity. However, the effects of PV panels on near-surface air temperature are less conclusive. This study presents an upgraded physics-based rooftop PV numerical model UCRC-Solar and its implementation in the Weather Research and Forecasting (WRF), a widely used numerical weather prediction model. A full-year measurement campaign at the University of Western Ontario, London, Canada, was conducted to capture the surface-atmosphere exchange for a rooftop array of tilted PV panels. The upgraded UCRC-Solar was evaluated extensively both offline with the observed data and online in WRF against the newly collected PV module surface temperature and electricity production. Finally, WRF experiments with different PV configurations on flat roofs were explored in Toronto, Ontario, to study their impacts on the local climate.</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it