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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9,807
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700
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EndNote: 204
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Total article views: 9,012 (including HTML, PDF, and XML)
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7,152
1,721
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9,012
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PDF: 1,721
XML: 139
Total: 9,012
Supplement: 451
BibTeX: 131
EndNote: 185
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Total article views: 3,377 (including HTML, PDF, and XML)
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2,655
685
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3,377
249
18
19
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Total: 3,377
Supplement: 249
BibTeX: 18
EndNote: 19
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Total article views: 12,389 (including HTML, PDF, and XML)
Thereof 11,985 with geography defined
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Total article views: 9,012 (including HTML, PDF, and XML)
Thereof 8,773 with geography defined
and 239 with unknown origin.
Total article views: 3,377 (including HTML, PDF, and XML)
Thereof 3,212 with geography defined
and 165 with unknown origin.
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...
