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.

Japan Weather Feed

Japan pages use forecast JSON published by the Japan Meteorological Agency (JMA). We map JMA forecast offices and temperature areas to 48 representative locations covering all 47 prefectures, preserve the source publication time, and process daily highs, lows, weather codes, and precipitation probability into regional and location rankings. Hokkaido includes both Sapporo and Kushiro. JMA content is used under its website terms; Japan pages identify JMA as the source and state that Tempscape has processed and aggregated the data.

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.

Optional City Travel Guides

Some city pages include separately collected travel-guide material from the local guide store. This optional content is displayed separately from weather readings and does not affect rankings or forecast fields. Pages without stored guide content omit the section.

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.