Universal Thermal Climate Index (UTCI) dataset of urban areas in China (2012-2021)- A Big Earth Data Platform for Three Poles

Monthly average daytime as well as nighttime data of the Universal Thermal Climate Index (UTCI) for 354 cities in China. The time range of the data is from January 2012 to December 2021, with a temporal resolution of month-by-month. The spatial resolution is 1 km.

The data is mainly based on the MYD07 atmosphere profile dataset and MYD11 land surface temperature dataset provided by MODIS, and incorporates the wind speed provided by ERA5 reanalysis data. The urban boundary is demarcated according to the 2018 data provided by Global Urban Boundary-GUB dataset. All the data are resampled to 1 km, in order to maintain the uniform spatial resolution.

With the rapid urbanization and global warming, the data are useful for studying the spatiotemporal patterns of urban thermal comfortable and related analysis.

File naming and required software

File name: the data is stored in TIF format. The name of the file is "china_yyyy_ddd.txt", where yyyy represents the year and DDD represents the date of Julian. For example, 2005001.txt represents the TIF file describing the spatial distribution of the universal thermal climate index (UTCI) in China during the daytime in January 2012.
Data reading method: all TIF files in the data set can be directly opened with available ArcGIS for image display, and the main content is UTCI value.

Data Citations Data citation guideline What's data citation?

Cite as:

Wang, C., Zhan, W. (2022). Universal Thermal Climate Index (UTCI) dataset of urban areas in China (2012-2021). A Big Earth Data Platform for Three Poles, DOI: 10.11888/HumanNat.tpdc.272806. CSTR: 18406.11.HumanNat.tpdc.272806. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Wang, C.G., Zhan, W.F., Liu, Z.H., Li, J.F., Li, L., Fu, P., Huang, F., Lai, J.M., Chen, J.K., Hong, F.L., & Jiang, S.D. (2020). Satellite-based mapping of the Universal Thermal Climate Index over the Yangtze River Delta urban agglomeration. Journal of Cleaner Production. 277, 123830. (View Details )

Support Program

Interaction and regional performance of natural and human factors on land surface driven by global change (No:2017YFA06036001)

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)