A Study on the Operation of Early Warning System for Heat Waves in Gwangju Based on the Urban Climatic Environment Assessment Model System
Bibliographic record
Abstract
Damages in cities resulting from climate change are made irregularly and untypically, thus difficult to predict due to heavily concentrated buildings and population, etc. This study aims to introduce the results of our Urban Climatic Environment Assessment Model System(Model System hereinafter) as well as its construction, which is designed to provide impact assessment of heat waves in cities, to reduce damages, and to build capacities against it. Our Model System is based on the Unified Model(UM : an integrated model of Korea Meteorological Administration), and satellite data is necessary to verify the Model System. However, we have developed high resolution (10m ~ 100m) urban assessment model to analyze the impacts of heat waves in city of Gwangju to help local government by developing and implementing environmental policies. The outputs of our Model System will contribute to the decision making. Following two approaches were considered for impact assesment. Firstly, high spatial resolution model (in 10m to 100m level) using ensemble and down-scaling techniques can help identification of vulnerable areas in the city. Also, analyzed data can be linked to local GIS and land use map for analysis and assessment of the heat waves, which enables to make 48h heat wave forecast. Secondly, CFD micro-scale analysis using super-computer enables to analyze the vulnerable areas with components of : temperature, wind, humidity, solar radiation quantity, cloud cover, etc. Data achieved via our Model System will be used as objective and scientific basis for developing heat wave policies. It will also give guidance for heat wave early warning. It is expected that local governments can utilize our Model System to identify and analyze patterns and characteristics of heat waves in the city, and make decisions and develop environment-related policies on the objective and scientific basis preemptive response for vulnerable areas in the region. Keywords : heat waves, Urban Climatic Environment Assessment Model System, spatial resolution, ensemble average, down-scaling, CFD, micro-scale, Early warning system * This research was supported by a grant from Research Program funded by International Climate & Environment Center(ICEC).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".