Articles | Volume 14, issue 5
https://doi.org/10.5194/essd-14-2315-2022
© 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-14-2315-2022
© 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
| 
13 May 2022
Data description paper |
| 13 May 2022
| 13 May 2022
A global long-term (1981–2019) daily land surface radiation budget product from AVHRR satellite data using a residual convolutional neural network
Jianglei Xu
School of Remote Sensing and Information Engineering, Wuhan
University, Wuhan 430079, China
Department of Geographical Sciences, University of Maryland, College
Park, MD 20742, USA
Bo Jiang
CORRESPONDING AUTHOR
Faculty of Geographical Science, Beijing Normal University, Beijing
100875, China
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Cited
15 citations as recorded by crossref.
- Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products X. Yin et al. 10.1080/17538947.2023.2253211
- QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data L. Nie et al. 10.1016/j.jag.2023.103584
- CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data Y. Jing et al. 10.1016/j.jhydrol.2025.132854
- Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data M. Arshad et al. 10.3390/w16233378
- Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al. 10.1016/j.scs.2022.104303
- Evolution of Meteosat Solar and Infrared Spectra (2004–2022) and Related Atmospheric and Earth Surface Physical Properties J. Fernández & C. Georgiev 10.3390/atmos14091354
- LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q. Li et al. 10.1016/j.eswa.2023.122917
- The Hi-GLASS all-wave daily net radiation product: Algorithm and product validation B. Jiang et al. 10.1016/j.srs.2023.100080
- Evaluation of nine machine learning methods for estimating daily land surface radiation budget from MODIS satellite data S. Li et al. 10.1080/17538947.2022.2130460
- 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
- Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data X. Yin et al. 10.1109/LGRS.2024.3412731
- An assessment of land energy balance over East Asia from multiple lines of evidence and the roles of the Tibet Plateau, aerosols, and clouds Q. Wang et al. 10.5194/acp-22-15867-2022
- Recent progress on evaluating and analysing surface radiation and energy budget datasets B. Jiang et al. 10.1080/17538947.2023.2286030
- Generating 5 km resolution 1981–2018 daily global land surface longwave radiation products from AVHRR shortwave and longwave observations using densely connected convolutional neural networks J. Xu et al. 10.1016/j.rse.2022.113223
- CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data Y. Jing et al. 10.1016/j.jhydrol.2025.132854
14 citations as recorded by crossref.
- Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products X. Yin et al. 10.1080/17538947.2023.2253211
- QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data L. Nie et al. 10.1016/j.jag.2023.103584
- CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data Y. Jing et al. 10.1016/j.jhydrol.2025.132854
- Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data M. Arshad et al. 10.3390/w16233378
- Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al. 10.1016/j.scs.2022.104303
- Evolution of Meteosat Solar and Infrared Spectra (2004–2022) and Related Atmospheric and Earth Surface Physical Properties J. Fernández & C. Georgiev 10.3390/atmos14091354
- LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q. Li et al. 10.1016/j.eswa.2023.122917
- The Hi-GLASS all-wave daily net radiation product: Algorithm and product validation B. Jiang et al. 10.1016/j.srs.2023.100080
- Evaluation of nine machine learning methods for estimating daily land surface radiation budget from MODIS satellite data S. Li et al. 10.1080/17538947.2022.2130460
- 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
- Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data X. Yin et al. 10.1109/LGRS.2024.3412731
- An assessment of land energy balance over East Asia from multiple lines of evidence and the roles of the Tibet Plateau, aerosols, and clouds Q. Wang et al. 10.5194/acp-22-15867-2022
- Recent progress on evaluating and analysing surface radiation and energy budget datasets B. Jiang et al. 10.1080/17538947.2023.2286030
- Generating 5 km resolution 1981–2018 daily global land surface longwave radiation products from AVHRR shortwave and longwave observations using densely connected convolutional neural networks J. Xu et al. 10.1016/j.rse.2022.113223
Latest update: 31 Mar 2025
Short summary
Land surface all-wave net radiation (Rn) is a key parameter in many land processes. Current products have drawbacks of coarse resolutions, large uncertainty, and short time spans. A deep learning method was used to obtain global surface Rn. A long-term Rn product was generated from 1981 to 2019 using AVHRR data. The product has the highest accuracy and a reasonable spatiotemporal variation compared to three other products. Our product will play an important role in long-term climate change.
Land surface all-wave net radiation (Rn) is a key parameter in many land processes. Current...
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