Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5637-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5637-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Dec 2022
Data description paper |
| 21 Dec 2022
| 21 Dec 2022
A global dataset of daily maximum and minimum near-surface air temperature at 1 km resolution over land (2003–2020)
Tao Zhang
Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, USA
Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, USA
Kaiguang Zhao
School of Environment and Natural Resources, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, OH 44691, USA
Zhengyuan Zhu
Department of Statistics, Iowa State University, Ames, IA 50011, USA
Gang Chen
Laboratory for Remote Sensing and Environmental Change (LRSEC), Department of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA
Jia Hu
Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, USA
Li Wang
Department of Statistics, George Mason University, Fairfax, VA 22030, USA
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Total article views: 5,989 (including HTML, PDF, and XML)
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35 citations as recorded by crossref.
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- Impact of early heat anomalies on urban tree cooling efficiency: Evidence from spring heatwave events in India H. Wei et al. 10.1016/j.jag.2023.103334
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- Near-surface air temperature estimation for areas with sparse observations based on transfer learning W. Wang et al. 10.1016/j.isprsjprs.2025.01.021
- Contrasting Trends and Drivers of Global Surface and Canopy Urban Heat Islands H. Du et al. 10.1029/2023GL104661
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- Urbanization-induced warming amplifies population exposure to compound heatwaves but narrows exposure inequality between global North and South cities S. Gao et al. 10.1038/s41612-024-00708-z
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- Ground-air temperature tracking from a geothermal climate-change observatory in South India V. Akkiraju et al. 10.1016/j.tecto.2023.230154
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- Residential segregation and outdoor urban moist heat stress disparities in the United States T. Chakraborty et al. 10.1016/j.oneear.2023.05.016
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- Impacts of land surface temperature and ambient factors on near-surface air temperature estimation: A multisource evaluation using SHAP analysis S. Li et al. 10.1016/j.scs.2025.106257
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Latest update: 30 Mar 2025
Short summary
We generated a global 1 km daily maximum and minimum near-surface air temperature (Tmax and Tmin) dataset (2003–2020) using a novel statistical model. The average root mean square errors ranged from 1.20 to 2.44 °C for Tmax and 1.69 to 2.39 °C for Tmin. The gridded global air temperature dataset is of great use in a variety of studies such as the urban heat island phenomenon, hydrological modeling, and epidemic forecasting.
We generated a global 1 km daily maximum and minimum near-surface air temperature (Tmax and...
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