In 2024, the annual average temperature in China was around **** degree Celsius. This was the highest annual average temperature ever measured in China. It was an increase of around **** degree Celsius compared to the historic average temperature between 1991 and 2020.

Temperature in China increased to 8.52 celsius in 2024 from 8.41 celsius in 2023. This dataset includes a chart with historical data for China Average Temperature.

This statistic depicts China's major cities in 2023, by annual average temperature. The average temperature in Beijing was **** degrees Celsius in 2023.

Average Temperature: Beijing data was reported at -3.500 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 4.800 Degrees Celsius for Nov 2023. Average Temperature: Beijing data is updated monthly, averaging 14.450 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 408 observations. The data reached an all-time high of 29.600 Degrees Celsius in Jul 2000 and a record low of -6.400 Degrees Celsius in Jan 2000. Average Temperature: Beijing data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.

In 2023, the monthly average temperature in Shanghai was *** degrees Celsius in January and **** degrees Celsius in July . The highest temperature recorded that year was measured in July at **** degrees Celsius.

Average Temperature: Henan: Zhengzhou data was reported at 2.200 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 9.900 Degrees Celsius for Nov 2023. Average Temperature: Henan: Zhengzhou data is updated monthly, averaging 16.350 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 408 observations. The data reached an all-time high of 31.000 Degrees Celsius in Jun 2022 and a record low of -1.700 Degrees Celsius in Jan 2000. Average Temperature: Henan: Zhengzhou data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.

Average Temperature: Fujian: Fuzhou data was reported at 14.100 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 19.100 Degrees Celsius for Nov 2023. Average Temperature: Fujian: Fuzhou data is updated monthly, averaging 20.750 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 408 observations. The data reached an all-time high of 31.400 Degrees Celsius in Aug 2022 and a record low of 8.000 Degrees Celsius in Jan 2011. Average Temperature: Fujian: Fuzhou data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.

The monthly average temperature in the United States between 2020 and 2025 shows distinct seasonal variation, following similar patterns. For instance, in April 2025, the average temperature across the North American country stood at 12.02 degrees Celsius. Rising temperatures Globally, 2016, 2019, 2021 and 2024 were some of the warmest years ever recorded since 1880. Overall, there has been a dramatic increase in the annual temperature since 1895. Within the U.S. annual temperatures show a great deal of variation depending on region. For instance, Florida tends to record the highest maximum temperatures across the North American country, while Wyoming recorded the lowest minimum average temperature in recent years. Carbon dioxide emissions Carbon dioxide is a known driver of climate change, which impacts average temperatures. Global historical carbon dioxide emissions from fossil fuels have been on the rise since the industrial revolution. In recent years, carbon dioxide emissions from fossil fuel combustion and industrial processes reached over 37 billion metric tons. Among all countries globally, China was the largest emitter of carbon dioxide in 2023.

The annual datasets as "teaser data", can make it much more easy for potential users to have a brief look at daily datasets. The datasets are annual average temperature (maximum temperature and minimum temperature) and annual accumulated precipitation with 1 km spatial resolution over 1961-2019, and are calculated from the daily, gridded maximum temperature, minimum temperature, and precipitation dataset for China (https://doi.org/10.1594/PANGAEA.941329).

Average Temperature: Shaanxi: Xian data was reported at 2.100 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 8.700 Degrees Celsius for Nov 2023. Average Temperature: Shaanxi: Xian data is updated monthly, averaging 15.200 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 407 observations. The data reached an all-time high of 30.500 Degrees Celsius in Jul 2017 and a record low of -2.800 Degrees Celsius in Jan 2011. Average Temperature: Shaanxi: Xian data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.

This dataset contains daily temperature records (minimum, maximum, and average) for China from 1990 to 2022, processed from NOAA’s raw data. The data was spatially filtered to include only points within China’s administrative boundaries and converted from Fahrenheit to Celsius. The dataset is formatted for easy integration with geospatial analyses and climate studies.​​Key Features​​​​Data Source​​: Derived from NOAA’s global temperature records, filtered for China using spatial joins with administrative boundaries.​​Variables Included​​:TEMP_C: Daily average temperature (°C).MAX_C/MIN_C: Daily maximum/minimum temperatures (°C).LATITUDE/LONGITUDE: Geographic coordinates (WGS84).Additional metadata (e.g., station IDs, dates).​​Processing Workflow​​:​​Spatial Filtering​​: Data was clipped to China’s boundaries using geopandas spatial joins (EPSG:4326 CRS).​​Unit Conversion​​: Temperatures converted from Fahrenheit to Celsius.​​Format​​: Saved as .pkl (Pickle) files for efficient storage and Python compatibility.​​Code Availability​​: The Python script used for processing is included (see "Code" section), with dependencies listed below.​​Intended Use​​Climate trend analysis, regional temperature modeling, or validation of satellite-derived products.Integration with GIS platforms (e.g., QGIS, ArcGIS) or Python-based workflows.​​Technical Details​​​​Software​​: Processed using Python 3.x with pandas, geopandas, and pyarrow.​​Coordinate System​​: WGS84 (EPSG:4326).​​Temporal Coverage​​: January 1, 1990 – December 31, 2022.

According to a survey conducted by Ipsos on predictions for global issues in 2020, 79 percent of Chinese believed it likely that the average global temperatures will increase in 2020.

This dataset includes the monthly mean temperature data with 0.0083333 arc degree (~1km) for China from Jan 1901 to Dec 2024. The data form belongs to NETCDF, namely .nc file. The unit of the data is 0.1 ℃. The dataset was spatially downscaled from CRU TS v4.02 with WorldClim datasets based on Delta downscaling method. The dataset was evaluated by 496 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China. The dataset covers the main land area of China, including Hong Kong, Macao and Taiwan regions, and excluding islands and reefs in South China Sea. WGS84 is recommended for data coordinate system.

Average Temperature: Yunnan: Kunming data was reported at 11.300 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 13.730 Degrees Celsius for Nov 2023. Average Temperature: Yunnan: Kunming data is updated monthly, averaging 16.800 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 408 observations. The data reached an all-time high of 24.400 Degrees Celsius in Jan 1992 and a record low of 7.000 Degrees Celsius in Jan 1993. Average Temperature: Yunnan: Kunming data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.

This dataset contains monthly temperature and precipitation data for fifty Chinese stations for 1951 to 1984.

The dataset with 0.5 arcminute (~1 km) was spatially downscaled from CRU TS v4.02 based on Delta downscaling method, including monthly minimum, maximum, and mean temperatures and precipitation from 1901.1 to 2017.12. The dataset covers the main land area of China. The dataset was evaluated by 745 national weather stations across China, and the evaluation indicated that the downscaled dataset is reliable for the investigations related to climate change across China.

"China Meteorological Data Sharing Service Network" of the NMIC web site provides summaries of weather events in China, which give a detail descripture and statistical analysis, include temperature, precipitation, hurricane events, and snow extremes and so on.

Accurate long-term temperature and precipitation estimates at high spatial and temporal resolutions are vital for a wide variety of climatological studies. We have produced a new, publicly available, daily, gridded maximum temperature, minimum temperature, and precipitation dataset for China with a high spatial resolution of 1 km and over a long-term period (1961 to 2019). It has been named the HRLT. The daily gridded data were interpolated using comprehensive statistical analyses, which included machine learning, the generalized additive model, and thin plate splines. It is based on the 0.5° × 0.5° grid dataset from the China Meteorological Administration, together with covariates for elevation, aspect, slope, topographic wetness index, latitude, and longitude. The accuracy of the HRLT daily dataset was assessed using observation data from meteorological stations. The maximum and minimum temperature estimates were more accurate than the precipitation estimates. For maximum temperature, the mean absolute error (MAE), root mean square error (RMSE), Pearson's correlation coefficient (Cor), coefficient of determination after adjustment (R²), and Nash-Sutcliffe modeling efficiency (NSE) were 1.07 °C, 1.62 °C 0.99, 0.98, and 0.98, respectively. For minimum temperature, the MAE, RMSE, Cor, R², and NSE were 1.08°C, 1.53 °C, 0.99, 0.99, and 0.99, respectively. For precipitation, the MAE, RMSE, Cor, R², and NSE were 1.30 mm, 4.78 mm, 0.84, 0.71, and 0.70, respectively. The accuracy of the HRLT was compared to those of the other three existing datasets and its accuracy was either greater than the others, especially for precipitation, or comparable in accuracy, but with higher spatial resolution and over a longer time period. In summary, the HRLT dataset, which has a high spatial resolution, covers a longer period of time and has reliable accuracy, is suitable for future environmental analyses, especially the effects of extreme weather.

This is the dataset for “China Meteorological Publications 1872-1951†website hosted by NUS Libraries: http://libportal.nus.edu.sg/frontend/ms/china-meteorological/browse The website is a digital archive of historic weather temperature and meteorological data of China, spanning from 1872 to 1951. The construction of this archive was supported in part by the Singapore Ministry of Education through grant MOE2013-T2-2-045 of the Academic Research Fund. Please ensure the following paper is cited appropriately when reusing this dataset. For more details, please refer to the Citation field.

Average Temperature: Sichuan: Chengdu data was reported at 7.500 Degrees Celsius in Dec 2023. This records a decrease from the previous number of 13.300 Degrees Celsius for Nov 2023. Average Temperature: Sichuan: Chengdu data is updated monthly, averaging 17.450 Degrees Celsius from Jan 1990 (Median) to Dec 2023, with 408 observations. The data reached an all-time high of 28.700 Degrees Celsius in Aug 2022 and a record low of 2.400 Degrees Celsius in Jan 2011. Average Temperature: Sichuan: Chengdu data remains active status in CEIC and is reported by Meteorological Administration. The data is categorized under China Premium Database’s Not Classified Category – Table CN.CLIM: Average Temperature.