Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3091-2022
© 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-14-3091-2022
© 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
| 
08 Jul 2022
Data description paper |
| 08 Jul 2022
| 08 Jul 2022
A global dataset of spatiotemporally seamless daily mean land surface temperatures: generation, validation, and analysis
Falu Hong
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Jiangsu Center for Collaborative Innovation in Geographical
Information Resource Development and Application, Nanjing 210023, China
Frank-M. Göttsche
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz
1, 76344 Eggenstein-Leopoldshafen, Germany
Zihan Liu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Pan Dong
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Huyan Fu
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Fan Huang
Jiangsu Provincial Key Laboratory of Geographic Information Science
and Technology, International Institute for Earth System Science, Nanjing
University, Nanjing, Jiangsu 210023, China
Xiaodong Zhang
Shanghai Spaceflight Institute of TT&C and Telecommunication,
Shanghai, 201109, China
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Cited
13 citations as recorded by crossref.
- A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions F. Aliabad et al. 10.1109/ACCESS.2024.3380023
- Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China A. Wen et al. 10.1016/j.atmosres.2022.106373
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Identifying and characterizing frequency and maximum durations of surface urban heat and cool island across global cities K. Li & Y. Chen 10.1016/j.scitotenv.2022.160218
- Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data A. Jia et al. 10.5194/essd-15-869-2023
- Identifying Major Diurnal Patterns and Drivers of Surface Urban Heat Island Intensities across Local Climate Zones Y. Guan et al. 10.3390/rs15205061
- 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
- Unveiling the impact of rapid urbanization on human comfort: a remote sensing-based study in Rajshahi Division, Bangladesh M. Fayshal et al. 10.1007/s10668-023-04354-y
- TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022) W. Tang et al. 10.5194/essd-16-387-2024
- Validation of Remotely Sensed Land Surface Temperature at Lake Baikal’s Surroundings Using In Situ Observations E. Dyukarev et al. 10.3390/land13040555
- Climatology of cold spots and LST minimums in Iran using high-resolution satellite data E. Sarhan et al. 10.1007/s00704-023-04699-4
- An Annual Temperature Cycle Feature Constrained Method for Generating MODIS Daytime All-Weather Land Surface Temperature Y. Yang et al. 10.1109/TGRS.2024.3377670
- How can we predict where heatwaves will have an impact? – A literature review on heat vulnerability indexes D. Szagri et al. 10.1016/j.uclim.2023.101711
13 citations as recorded by crossref.
- A Comparative Study of Estimating Hourly Images of MODIS Land Surface Temperature Using Diurnal Temperature Cycle Models in Arid Regions F. Aliabad et al. 10.1109/ACCESS.2024.3380023
- Evaluation of MERRA-2 land surface temperature dataset and its application in permafrost mapping over China A. Wen et al. 10.1016/j.atmosres.2022.106373
- A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by Advanced Very High Resolution Radiometer observations from 1981 to 2021 J. Li et al. 10.5194/essd-15-2189-2023
- Identifying and characterizing frequency and maximum durations of surface urban heat and cool island across global cities K. Li & Y. Chen 10.1016/j.scitotenv.2022.160218
- Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data A. Jia et al. 10.5194/essd-15-869-2023
- Identifying Major Diurnal Patterns and Drivers of Surface Urban Heat Island Intensities across Local Climate Zones Y. Guan et al. 10.3390/rs15205061
- 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
- Unveiling the impact of rapid urbanization on human comfort: a remote sensing-based study in Rajshahi Division, Bangladesh M. Fayshal et al. 10.1007/s10668-023-04354-y
- TRIMS LST: a daily 1 km all-weather land surface temperature dataset for China's landmass and surrounding areas (2000–2022) W. Tang et al. 10.5194/essd-16-387-2024
- Validation of Remotely Sensed Land Surface Temperature at Lake Baikal’s Surroundings Using In Situ Observations E. Dyukarev et al. 10.3390/land13040555
- Climatology of cold spots and LST minimums in Iran using high-resolution satellite data E. Sarhan et al. 10.1007/s00704-023-04699-4
- An Annual Temperature Cycle Feature Constrained Method for Generating MODIS Daytime All-Weather Land Surface Temperature Y. Yang et al. 10.1109/TGRS.2024.3377670
- How can we predict where heatwaves will have an impact? – A literature review on heat vulnerability indexes D. Szagri et al. 10.1016/j.uclim.2023.101711
Latest update: 26 Jul 2024
Short summary
Daily mean land surface temperature (LST) acquired from satellite thermal sensors is crucial for various applications such as global and regional climate change analysis. This study proposed a framework to generate global spatiotemporally seamless daily mean LST products (2003–2019). Validations show that the products outperform the traditional method with satisfying accuracy. Our further analysis reveals that the LST-based global land surface warming rate is 0.029 K yr−1 from 2003 to 2019.
Daily mean land surface temperature (LST) acquired from satellite thermal sensors is crucial for...
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