Published August 15, 2026
| Version v3
Dataset
Open
All-sky daily max ambient air temperature datasets at 1-km resolution from 2013-2025 in China
Authors/Creators
- 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- 2. University of Chinese Academy of Sciences, Beijing 100049, China
- 3. MEEKL‐AERM,CollegeofEnvironmentalSciencesandEngineering, InstituteofTibetanPlateau,andCenterfor EnvironmentandHealth,PekingUniversity,Beijing,China
- 4. Beijing Visiorld Technology Co., Ltd, 100029, Beijing, China
- 5. Beijing Municipal Climate Center, Beijing Meteorological Bureau, Beijing 100089, China
Description
- All-sky daily maximum, minimum, and mean ambient air temperature datasets at 1-km resolution over two decades (2003-2025) in China have been generated by the four-dimensional spatiotemporal deep forest (4D-STDF) model. The overall RMSE values for estimates are 1.49°C, 1.53°C, and 1.18°C.
- These datasets cover mainland China, featuring high spatial resolution (1km), long temporal sequences (2003-2025), and increased accuracy. They are presented in GeoTIFF format with WGS84 projection, with data measured in 0.1 degrees Celsius (°C).
- These datasets have divided for six parts to upload Zenodo, the links as follow:
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Daily Tmax from the years 2003-2012: https://doi.org/10.5281/zenodo.10983219,
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Daily Tmin from the years 2003-2012: https://doi.org/10.5281/zenodo.10951765,
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Daily Tmean from the years 2003-2012: https://doi.org/10.5281/zenodo.10947354,
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Daily Tmax from the years 2013-2025: https://doi.org/10.5281/zenodo.21941611,
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Daily Tmin from the years 2013-2025: https://doi.org/10.5281/zenodo.21930704,
- Daily Tmean from the years 2013-2025: https://doi.org/10.5281/zenodo.21964051.
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Files
Tem-MAX_2013.zip
Files
(36.6 GB)
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Additional details
References
- Wang M, Wei J, Wang X, et al., 2024. Reconstruction of all-sky daily air temperature datasets with high accuracy in China from 2003 to 2022[J]. Scientific Data, 11(1): 1133.