Data Sources

China Temp Rankings aggregates public weather data for monitored cities across mainland China, Hong Kong, Macau, and Taiwan. The site focuses on making temperature comparison easier by presenting the data in maps, rankings, and city tables.

Primary Weather Feed

The crawler reads public city forecast pages from the National Meteorological Center of China where available. These pages provide multi-day city weather fields such as temperature, wind, precipitation, humidity, pressure, cloud cover, and weather-condition labels. The site stores the fields in a time-series database before generating static pages.

Map Boundaries

Province and national map boundaries are loaded from public GeoJSON boundary files used for visualization. The map layer is only a visual aid; weather readings come from the monitored city records rather than from the boundary data itself.

City Context Notes

City-level local context is generated from public map coordinates, nearby public place-title search results, and limited public web-search results for travel-guide signals. We use titles, links, snippets, and place names as factual signals only, then write original weather-reading notes for this site. Article bodies, travel articles, and third-party descriptions are not copied.

When GPT-assisted city research is enabled, the generator may ask a configured local OpenAI-compatible endpoint to rewrite those public signals into concise local weather and travel context. The prompt requires original writing, real source URLs only when actually found, and a safe fallback to map/place facts when search results are unavailable.

Coverage

Our pages cover 34 province-level regions and hundreds of monitored cities. Coverage is strongest for provincial capitals, major prefecture-level cities, and commonly reported districts. Some remote or smaller locations may not appear if reliable source data is not available in the feed.

Fields Used

Data Quality

Weather feeds sometimes contain missing values, delayed updates, or generic condition labels. When a value is missing, the page may show an unknown label or omit that value from summary calculations. We keep the presentation transparent so readers can see the underlying city rows rather than only a single calculated score.

Transformations We Apply

The site groups city readings by province, translates common weather labels, calculates hot and cold rankings, highlights temperature spread, and adds travel and clothing notes based on temperature, wind, and weather-condition signals. These transformations are intended to make the same source data easier to compare and understand.

Attribution and Use

The underlying weather observations belong to their respective data providers. China Temp Rankings adds organization, visualization, bilingual labels, and summary context. The data is provided for reference and educational use.