Plain-language summary
- What it solves
- Knowing it is 30 degrees does not tell you whether it is pleasant outside: humidity, wind and sun matter together.
- Who it can serve
- Anyone planning outdoor activities, and anyone working with climate data visualisation.
- What it produces
- For 27 cities, hour by hour, how comfortable it is outdoors, the best window of the day and what limits it.
Make the next 72 outdoor hours readable across many cities without turning a communication index into advice or an alert.
3 · What it produces
24 hourly cells per city, 0–100 comfort score, comfort hours/best window, dominant issue, wind and waves where available, 72h cards and IT/EN threads.
The cards expose multiple views of the same workflow so result, method, evidence and history remain distinct. Site preview images use synthetic data (simulated data); operational runs acquire real provider forecasts.
4 · How it works
Multi-city hourly forecast + transparent heuristic score + semantic priority + graceful degradation
1Open-Meteo forecast and marine: apparent/air temperature, RH, dew point, precipitation, snow, wind/gust/direction, WMO code, radiation and waves for compatible coastal cities
2transparent 0–100 heuristic score; semantic priority for thunderstorm, snow, rain, heat, cold, wind, fog, humidity and comfort; best contiguous window
3independent city/day validation, batch→recent cache→single retry, grey cells for missing data, publication only with 4 core cities and at least 80% of the basket
4Persistence, rendering and governed publishing.
5 · Data and signals
| Element | Detail |
|---|---|
| Data and signals | Open-Meteo forecast and marine: apparent/air temperature, RH, dew point, precipitation, snow, wind/gust/direction, WMO code, radiation and waves for compatible coastal cities |
| Industrial transferability | outdoor planning, territorial communication, tourism and non-operational weather dashboards |
| Research | penalty sensitivity, class robustness and comparison with appropriate bioclimatic indices |
| Interpretation condition | not a medical index, PMV/PPD, UTCI, weather alert or normative indoor-comfort metric |
transparent 0–100 heuristic score; semantic priority for thunderstorm, snow, rain, heat, cold, wind, fog, humidity and comfort; best contiguous window
independent city/day validation, batch→recent cache→single retry, grey cells for missing data, publication only with 4 core cities and at least 80% of the basket
Python, requests, pytz, Pillow, GitHub Actions, AT Protocol/Bluesky
treating the score as clinical risk, meteoropathy, official warning or indoor comfort; local microclimate and personal variables are not modelled
Workflow technical dossier
Methods, checks, stack and transferability conditions.
Data and signals
Open-Meteo forecast and marine: apparent/air temperature, RH, dew point, precipitation, snow, wind/gust/direction, WMO code, radiation and waves for compatible coastal cities
Inference / calculation
transparent 0–100 heuristic score; semantic priority for thunderstorm, snow, rain, heat, cold, wind, fog, humidity and comfort; best contiguous window
Validation
independent city/day validation, batch→recent cache→single retry, grey cells for missing data, publication only with 4 core cities and at least 80% of the basket
Stack
Python, requests, pytz, Pillow, GitHub Actions, AT Protocol/Bluesky
Limitations
treating the score as clinical risk, meteoropathy, official warning or indoor comfort; local microclimate and personal variables are not modelled
See recent outputs
The Publications page collects local previews and, on request, the public feed.
Potential transferability
Have a problem similar to Climate Comfort Hours?
A first discussion can start from the objective, available data and success criterion without sending confidential information. A result observed here is not assumed to transfer automatically to another context.