Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-869-2023
© 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-15-869-2023
© 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
| 
16 Feb 2023
Data description paper |
| 16 Feb 2023
| 16 Feb 2023
Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data
Aolin Jia
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Department of Geography, The University of Hong Kong, Hong Kong SAR 999077, China
Dongdong Wang
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Lei Ma
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Zhihao Wang
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Shuo Xu
Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
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- Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions D. Bae et al. 10.1016/j.jag.2025.104468
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- Can Subdaily LST Be Constructed in High-Latitude Regions Using Polar Orbiting Satellites? Z. Liu et al. 10.1109/LGRS.2025.3546797
- A Hybrid Method for Temporal Normalization of Land Surface Temperature Under All-Sky Conditions Z. Wang et al. 10.1109/JSTARS.2024.3439316
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- A practical two-step framework for all-sky land surface temperature estimation H. Zhang et al. 10.1016/j.rse.2024.113991
- A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature J. Ma et al. 10.1109/JSTARS.2024.3503578
- A global urban heat island intensity dataset: Generation, comparison, and analysis Q. Yang et al. 10.1016/j.rse.2024.114343
- Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information P. Song et al. 10.1016/j.jag.2024.103703
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- Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System Y. Li et al. 10.3390/land13111903
- Hourly land surface temperature retrieval over the Tibetan Plateau using Geo-LightGBM framework: Fusion of Himawari-8 satellite, ERA5 and site observations Z. Liu et al. 10.1016/j.accre.2024.06.007
- Improving estimation of diurnal land surface temperatures by integrating weather modeling with satellite observations W. Chen et al. 10.1016/j.rse.2024.114393
- Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias S. Xu et al. 10.1016/j.jag.2023.103347
- A Physically Constrained Downscaling Framework for Hourly, All-Sky Land Surface Temperature in Mountainous Regions Y. Li et al. 10.1109/JSTARS.2025.3541374
- 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
25 citations as recorded by crossref.
- A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation R. Li et al. 10.5194/essd-15-1419-2023
- Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data B. Li et al. 10.5194/essd-16-3795-2024
- Global 500 m seamless dataset (2000–2022) of land surface reflectance generated from MODIS products X. Liang et al. 10.5194/essd-16-177-2024
- First retrieval of 24-hourly 1-km-resolution gapless surface ozone (O3) from space in China using artificial intelligence: Diurnal variations and implications for air quality and phytotoxicity F. Cheng et al. 10.1016/j.rse.2024.114482
- High-resolution (1 km) all-sky net radiation over Europe enabled by the merging of land surface temperature retrievals from geostationary and polar-orbiting satellites D. Rains et al. 10.5194/essd-16-567-2024
- A novel approach to estimate land surface temperature from landsat top-of-atmosphere reflective and emissive data using transfer-learning neural network S. Xu et al. 10.1016/j.scitotenv.2024.176783
- An integrated method for angular and temporal reconstruction of land surface temperatures Z. Bian et al. 10.1016/j.rse.2024.114357
- Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions D. Bae et al. 10.1016/j.jag.2025.104468
- Comparison between deep learning architectures for the 1 km, 10/15-min estimation of downward shortwave radiation from AHI and ABI R. Li et al. 10.1016/j.rse.2023.113697
- Can Subdaily LST Be Constructed in High-Latitude Regions Using Polar Orbiting Satellites? Z. Liu et al. 10.1109/LGRS.2025.3546797
- A Hybrid Method for Temporal Normalization of Land Surface Temperature Under All-Sky Conditions Z. Wang et al. 10.1109/JSTARS.2024.3439316
- Advances in Methodology and Generation of All-Weather Land Surface Temperature Products From Polar-Orbiting and Geostationary Satellites: A comprehensive review A. Jia et al. 10.1109/MGRS.2024.3421268
- Construction and Validation of a Dawn and Dusk Land Surface Temperature Using MERSI-LL FY-3E Z. Liu et al. 10.1109/JSTARS.2024.3387979
- A novel approach combining satellite and in situ observations to estimate the daytime variation of land surface temperatures for all sky conditions A. Inamdar & R. Leeper 10.1016/j.srs.2024.100127
- A practical two-step framework for all-sky land surface temperature estimation H. Zhang et al. 10.1016/j.rse.2024.113991
- A Two-Step Framework for Generating 0.01°, Hourly, and Gapless Land Surface Temperature J. Ma et al. 10.1109/JSTARS.2024.3503578
- A global urban heat island intensity dataset: Generation, comparison, and analysis Q. Yang et al. 10.1016/j.rse.2024.114343
- Estimation of all-weather land surface temperature through correcting cloud-shadowing bias simulated by hourly cloud information P. Song et al. 10.1016/j.jag.2024.103703
- Knowledge and attitudes toward food sustainability among Kuwait University students D. AlTarrah et al. 10.3389/fsufs.2024.1364085
- Development and Evaluation of Machine Learning Models for Air-to-Land Temperature Conversion Using the Newly Established Kunlun Mountain Gradient Observation System Y. Li et al. 10.3390/land13111903
- Hourly land surface temperature retrieval over the Tibetan Plateau using Geo-LightGBM framework: Fusion of Himawari-8 satellite, ERA5 and site observations Z. Liu et al. 10.1016/j.accre.2024.06.007
- Improving estimation of diurnal land surface temperatures by integrating weather modeling with satellite observations W. Chen et al. 10.1016/j.rse.2024.114393
- Assessment of gridded datasets of various near surface temperature variables over Heihe River Basin: Uncertainties, spatial heterogeneity and clear-sky bias S. Xu et al. 10.1016/j.jag.2023.103347
- A Physically Constrained Downscaling Framework for Hourly, All-Sky Land Surface Temperature in Mountainous Regions Y. Li et al. 10.1109/JSTARS.2025.3541374
- 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
Latest update: 23 Apr 2025
Short summary
Satellites are now producing multiple global land surface temperature (LST) products; however, they suffer from data gaps caused by cloud cover, seriously restricting the applications, and few products provide gap-free global hourly LST. We produced global hourly, 5 km, all-sky LST data from 2011 to 2021 using geostationary and polar-orbiting satellite data. Based on the assessment, it has high accuracy and can be used to estimate evapotranspiration, drought, etc.
Satellites are now producing multiple global land surface temperature (LST) products; however,...
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