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 article
| 
13 May 2022
Data description article |
| 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
27 citations as recorded by crossref.
- QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data L. Nie et al.
- CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data Y. Jing et al.
- Multi-Scale Quality Assessment of the GLASS Daily Net Radiation Product in China from 2000 to 2020 M. Yan et al.
- Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data M. Arshad et al.
- A New Model for Estimating Topography-Modulated Daily Net Radiation Under All-Sky Conditions Y. Zhao et al.
- Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al.
- LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q. Li et al.
- Estimation of surface all-wave net radiation from MODIS data using deep residual neural network based on limited samples S. Li et al.
- Biases in radiative flux observations due to precipitation across the Arctic forest-tundra ecotone T. Kim et al.
- Regional Evolution of the Meteosat Solar and Infrared Spectra (2005–2024) Linked to Cloud Cover and Ocean Surface J. Prieto-Fernández & H. Barbosa
- Evaluation of nine machine learning methods for estimating daily land surface radiation budget from MODIS satellite data S. Li et al.
- 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.
- Recent progress on evaluating and analysing surface radiation and energy budget datasets B. Jiang et al.
- A General Model for Converting All-Wave Net Radiation at Instantaneous to Daily Scales Under Clear Sky J. Han et al.
- Investigation on long-term seasonal variations of aerosol optical properties and direct radiative forcing in urban environment of northern Thailand W. Kanchanachat et al.
- Forest loss intensifies meteorological drought in more than half of Earth’s climate zones X. Li et al.
- Energy-conservation datasets of global land surface radiation and heat fluxes from 2000–2020 generated by CoSEB J. Wang et al.
- 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.
- Observational evidence highlights the spatial divergence of vegetation changes in altering land surface energy balance over the Three-North region in China in summer X. Yin et al.
- Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products X. Yin et al.
- Evolution of Meteosat Solar and Infrared Spectra (2004–2022) and Related Atmospheric and Earth Surface Physical Properties J. Fernández & C. Georgiev
- The Hi-GLASS all-wave daily net radiation product: Algorithm and product validation B. Jiang et al.
- 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.
- Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data X. Yin et al.
- Joint estimation of global daily 1 km surface radiation budget components from MODIS observations (2000−2023) using conservation-constrained deep neural networks J. Xu et al.
- Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones M. Zheng et al.
- Monitoring the Global Top-of-Atmosphere Shortwave Radiation Flux with Deep Space-Based Earth Observations Y. Zhao et al.
27 citations as recorded by crossref.
- QIENet: Quantitative irradiance estimation network using recurrent neural network based on satellite remote sensing data L. Nie et al.
- CHiRAD: A high-resolution daily net radiation dataset for China generated using meteorological and albedo data Y. Jing et al.
- Multi-Scale Quality Assessment of the GLASS Daily Net Radiation Product in China from 2000 to 2020 M. Yan et al.
- Multispectral Assessment of Net Radiations Using Comprehensive Multi-Satellite Data M. Arshad et al.
- A New Model for Estimating Topography-Modulated Daily Net Radiation Under All-Sky Conditions Y. Zhao et al.
- Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al.
- LandBench 1.0: A benchmark dataset and evaluation metrics for data-driven land surface variables prediction Q. Li et al.
- Estimation of surface all-wave net radiation from MODIS data using deep residual neural network based on limited samples S. Li et al.
- Biases in radiative flux observations due to precipitation across the Arctic forest-tundra ecotone T. Kim et al.
- Regional Evolution of the Meteosat Solar and Infrared Spectra (2005–2024) Linked to Cloud Cover and Ocean Surface J. Prieto-Fernández & H. Barbosa
- Evaluation of nine machine learning methods for estimating daily land surface radiation budget from MODIS satellite data S. Li et al.
- 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.
- Recent progress on evaluating and analysing surface radiation and energy budget datasets B. Jiang et al.
- A General Model for Converting All-Wave Net Radiation at Instantaneous to Daily Scales Under Clear Sky J. Han et al.
- Investigation on long-term seasonal variations of aerosol optical properties and direct radiative forcing in urban environment of northern Thailand W. Kanchanachat et al.
- Forest loss intensifies meteorological drought in more than half of Earth’s climate zones X. Li et al.
- Energy-conservation datasets of global land surface radiation and heat fluxes from 2000–2020 generated by CoSEB J. Wang et al.
- 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.
- Observational evidence highlights the spatial divergence of vegetation changes in altering land surface energy balance over the Three-North region in China in summer X. Yin et al.
- Significant discrepancies of land surface daily net radiation among ten remotely sensed and reanalysis products X. Yin et al.
- Evolution of Meteosat Solar and Infrared Spectra (2004–2022) and Related Atmospheric and Earth Surface Physical Properties J. Fernández & C. Georgiev
- The Hi-GLASS all-wave daily net radiation product: Algorithm and product validation B. Jiang et al.
- 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.
- Estimating Land Surface All-Wave Daily Net Radiation From VIIRS Top-of-Atmosphere Data X. Yin et al.
- Joint estimation of global daily 1 km surface radiation budget components from MODIS observations (2000−2023) using conservation-constrained deep neural networks J. Xu et al.
- Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones M. Zheng et al.
- Monitoring the Global Top-of-Atmosphere Shortwave Radiation Flux with Deep Space-Based Earth Observations Y. Zhao et al.
Saved (final revised paper)
Latest update: 18 May 2026
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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