Articles | Volume 15, issue 1
https://doi.org/10.5194/essd-15-359-2023
© Author(s) 2023. 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-15-359-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
20 Jan 2023
Data description paper |
| 20 Jan 2023
| 20 Jan 2023
HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020
Hui Zhang
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
Institute of Environment, Energy and Sustainability, The Chinese
University of Hong Kong, Hong Kong SAR, China
Yongquan Zhao
CORRESPONDING AUTHOR
School of Geospatial Engineering and Science, Sun Yat-sen University,
and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai),
Zhuhai 519082, China
Lijie Lin
School of Management, Guangdong University of Technology, Guangzhou
510520, China
Erjia Ge
Dalla Lana School of Public Health, University of Toronto, Toronto,
Ontario M5T 3M7, Canada
Yuanjian Yang
School of Atmospheric Physics, Nanjing
University of Information Science & Technology, Nanjing 210044, China
Guicai Ning
Institute of Environment, Energy and Sustainability, The Chinese
University of Hong Kong, Hong Kong SAR, China
Jing Cong
Tianjin Municipal Meteorological Observatory, Tianjin 300074, China
Zhaoliang Zeng
State Key Laboratory of Severe Weather, Chinese Academy of
Meteorological Sciences, Beijing 100081, China
Ke Gui
State Key Laboratory of Severe Weather (LASW) and Key Laboratory of
Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences,
Beijing 100081, China
Jing Li
College of Resources and Environment, Fujian Agriculture and Forest
University, Fuzhou 35002, China
Ting On Chan
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
Xiang Li
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
Sijia Wu
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
Peng Wang
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
Xiaoyu Wang
School of Geography and Planning, and Guangdong Key Laboratory for
Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510006,
China
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Cited
6 citations as recorded by crossref.
- A daily high-resolution (1 km) human thermal index collection over the North China Plain from 2003 to 2020 X. Li et al. 10.1038/s41597-023-02535-y
- Quantifying the Scale Effect of the Relationship between Land Surface Temperature and Landscape Pattern J. Chen et al. 10.3390/rs15082131
- CUTCI: A GPU-Accelerated Computing Method for the Universal Thermal Climate Index H. Jian et al. 10.1109/LGRS.2024.3378696
- Spatial–Temporal Characteristics of Human Thermal Comfort in Xinjiang: Based on the Universal Thermal Climate Index from 1981 to 2019 J. Qi et al. 10.3390/land12101864
- A systematic review of studies involving canopy layer urban heat island: Monitoring and associated factors Y. Li et al. 10.1016/j.ecolind.2023.111424
- HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020 H. Zhang et al. 10.5194/essd-15-359-2023
5 citations as recorded by crossref.
- A daily high-resolution (1 km) human thermal index collection over the North China Plain from 2003 to 2020 X. Li et al. 10.1038/s41597-023-02535-y
- Quantifying the Scale Effect of the Relationship between Land Surface Temperature and Landscape Pattern J. Chen et al. 10.3390/rs15082131
- CUTCI: A GPU-Accelerated Computing Method for the Universal Thermal Climate Index H. Jian et al. 10.1109/LGRS.2024.3378696
- Spatial–Temporal Characteristics of Human Thermal Comfort in Xinjiang: Based on the Universal Thermal Climate Index from 1981 to 2019 J. Qi et al. 10.3390/land12101864
- A systematic review of studies involving canopy layer urban heat island: Monitoring and associated factors Y. Li et al. 10.1016/j.ecolind.2023.111424
Latest update: 26 Apr 2024
Short summary
We generate the first monthly high-resolution (1 km) human thermal index collection (HiTIC-Monthly) in China over 2003–2020, in which 12 human-perceived temperature indices are generated by LightGBM. The HiTIC-Monthly dataset has a high accuracy (R2 = 0.996, RMSE = 0.693 °C, MAE = 0.512 °C) and describes explicit spatial variations for fine-scale studies. It is freely available at https://zenodo.org/record/6895533 and https://data.tpdc.ac.cn/disallow/036e67b7-7a3a-4229-956f-40b8cd11871d.
We generate the first monthly high-resolution (1 km) human thermal index collection...
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