Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-567-2024
© Author(s) 2024. 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-16-567-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
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
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium
Isabel Trigo
Instituto Português do Mar e da Atmosfera, Lisboa, Portugal
Emanuel Dutra
Instituto Português do Mar e da Atmosfera, Lisboa, Portugal
Sofia Ermida
Instituto Português do Mar e da Atmosfera, Lisboa, Portugal
Darren Ghent
Space Research Centre, University of Leicester, Leicester, United Kingdom
Petra Hulsman
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium
Jose Gómez-Dans
Department of Geography, King's College London, Bush House, London, United Kingdom
Diego G. Miralles
Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium
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Cited
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- 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
- Inferring permafrost distribution over Jammu and Kashmir Himalaya through remotely sensed land surface temperature products between 2002 and 2023: Implications for permafrost degradation-related hazards I. Bhat et al. 10.1016/j.rsase.2025.101483
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- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- 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
7 citations as recorded by crossref.
- Research method on the retrieval of land surface temperature based on transfer learning with a deep belief network B. Li et al. 10.1080/01431161.2025.2538829
- A line-spread kernel function for angular anisotropy in row-dominated heterogeneous scenarios Y. Lu et al. 10.1016/j.rse.2025.114887
- Toward a Unifying Framework for Biophysical Variable Retrieval From EUMETSAT Sensors: Application to Meteosat Data A. Jiménez-Guisado et al. 10.1109/TGRS.2025.3600250
- A novel approach for estimating groundwater recharge leveraging high-resolution satellite soil moisture J. Dari et al. 10.1016/j.jhydrol.2025.132678
- 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
- Inferring permafrost distribution over Jammu and Kashmir Himalaya through remotely sensed land surface temperature products between 2002 and 2023: Implications for permafrost degradation-related hazards I. Bhat et al. 10.1016/j.rsase.2025.101483
- Hourly All-Weather Land Surface Temperature Estimation Through Data Assimilation of Fengyun-4A Satellite Observations and Model Simulations J. Duan et al. 10.1109/TGRS.2025.3593942
4 citations as recorded by crossref.
- 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
- 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
- A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
- 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: 17 Sep 2025
Short summary
Land surface temperature and surface net radiation are vital inputs for many land surface and hydrological models. However, current remote sensing datasets of these variables come mostly at coarse resolutions, and the few high-resolution datasets available have large gaps due to cloud cover. Here, we present a continuous daily product for both variables across Europe for 2018–2019 obtained by combining observations from geostationary as well as polar-orbiting satellites.
Land surface temperature and surface net radiation are vital inputs for many land surface and...
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