Articles | Volume 14, issue 11
https://doi.org/10.5194/tc-14-3995-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-3995-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2020
Research article |
| 14 Nov 2020
| 14 Nov 2020
Simulating optical top-of-atmosphere radiance satellite images over snow-covered rugged terrain
Centre d'Etudes de la Neige, Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, 38000 Grenoble, France
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
Centre d'Etudes de la Neige, Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, 38000 Grenoble, France
Ghislain Picard
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
Fanny Larue
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
François Tuzet
Centre d'Etudes de la Neige, Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, 38000 Grenoble, France
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
Clément Delcourt
Centre d'Etudes de la Neige, Univ. Grenoble Alpes, Université de Toulouse, Météo-France, CNRS, CNRM, 38000 Grenoble, France
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
now at: Cluster Aarde en Klimaat, Faculteit der Bètawetenschappen, VU University,De Boelelaan 1081–1087, Amsterdam, the Netherlands
Laurent Arnaud
Institut des Géosciences de l'Environnement (IGE), UGA, CNRS, UMR 5001, Grenoble, France
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17 citations as recorded by crossref.
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- Error and Uncertainty Degrade Topographic Corrections of Remotely Sensed Data J. Dozier et al. 10.1029/2022JG007147
- CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
- Modelling surface temperature and radiation budget of snow-covered complex terrain A. Robledano et al. 10.5194/tc-16-559-2022
- Revisiting Topographic Horizons in the Era of Big Data and Parallel Computing J. Dozier 10.1109/LGRS.2021.3125278
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- Significant Topographic Impacts on Moderate-Resolution Satellite Products: Evidence From Both Geostationary and Polar-Orbiting Satellites and Model Simulations Y. Ma et al. 10.1109/TGRS.2025.3572685
- Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning Models J. Hu & D. Shean 10.3390/rs14174227
- Effects of complex terrain on the shortwave radiative balance: a sub-grid-scale parameterization for the GFDL Earth System Model version 4.1 E. Zorzetto et al. 10.5194/gmd-16-1937-2023
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- Simulating snow-covered forest bidirectional reflectance by extending hybrid geometric optical–radiative transfer model S. Chen et al. 10.1016/j.rse.2023.113713
- Landsat Snow-Free Surface Albedo Estimation Over Sloping Terrain: Algorithm Development and Evaluation Y. Ma et al. 10.1109/TGRS.2022.3149762
- Processing of VENµS Images of High Mountains: A Case Study for Cryospheric and Hydro-Climatic Applications in the Everest Region (Nepal) Z. Bessin et al. 10.3390/rs14051098
- Assimilation of surface reflectance in snow simulations: Impact on bulk snow variables J. Revuelto et al. 10.1016/j.jhydrol.2021.126966
- Toward Snow Cover Estimation in Mountainous Areas Using Modern Data Assimilation Methods: A Review C. Largeron et al. 10.3389/feart.2020.00325
16 citations as recorded by crossref.
- Modeling the top-of-atmosphere radiance of alpine snow with topographic effects explicitly solved G. Wang et al. 10.1016/j.isprsjprs.2024.07.017
- Thermophysical Diversity of Young Lunar Crater Ejecta Revealed with LRO Diviner Observations C. Gallinger et al. 10.3847/PSJ/ad84e3
- Error and Uncertainty Degrade Topographic Corrections of Remotely Sensed Data J. Dozier et al. 10.1029/2022JG007147
- CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
- Modelling surface temperature and radiation budget of snow-covered complex terrain A. Robledano et al. 10.5194/tc-16-559-2022
- Revisiting Topographic Horizons in the Era of Big Data and Parallel Computing J. Dozier 10.1109/LGRS.2021.3125278
- GeoAI Dataset for Training a Deep Learning-based GEMS Snow Detection Model J. Yu et al. 10.22761/GD.2024.0060
- Glacier Ice Surface Properties in South‐West Greenland Ice Sheet: First Estimates From PRISMA Imaging Spectroscopy Data N. Bohn et al. 10.1029/2021JG006718
- Significant Topographic Impacts on Moderate-Resolution Satellite Products: Evidence From Both Geostationary and Polar-Orbiting Satellites and Model Simulations Y. Ma et al. 10.1109/TGRS.2025.3572685
- Improving Mountain Snow and Land Cover Mapping Using Very-High-Resolution (VHR) Optical Satellite Images and Random Forest Machine Learning Models J. Hu & D. Shean 10.3390/rs14174227
- Effects of complex terrain on the shortwave radiative balance: a sub-grid-scale parameterization for the GFDL Earth System Model version 4.1 E. Zorzetto et al. 10.5194/gmd-16-1937-2023
- Exploring how Sentinel-1 wet-snow maps can inform fully distributed physically based snowpack models B. Cluzet et al. 10.5194/tc-18-5753-2024
- Simulating snow-covered forest bidirectional reflectance by extending hybrid geometric optical–radiative transfer model S. Chen et al. 10.1016/j.rse.2023.113713
- Landsat Snow-Free Surface Albedo Estimation Over Sloping Terrain: Algorithm Development and Evaluation Y. Ma et al. 10.1109/TGRS.2022.3149762
- Processing of VENµS Images of High Mountains: A Case Study for Cryospheric and Hydro-Climatic Applications in the Everest Region (Nepal) Z. Bessin et al. 10.3390/rs14051098
- Assimilation of surface reflectance in snow simulations: Impact on bulk snow variables J. Revuelto et al. 10.1016/j.jhydrol.2021.126966
1 citations as recorded by crossref.
Latest update: 03 Jul 2025
Short summary
Terrain features found in mountainous regions introduce large errors into the calculation of the physical properties of snow using optical satellite images. We present a new model performing rapid calculations of solar radiation over snow-covered rugged terrain that we tested over a site in the French Alps. The results of the study show that all the interactions between sunlight and the terrain should be accounted for over snow-covered surfaces to correctly estimate snow properties from space.
Terrain features found in mountainous regions introduce large errors into the calculation of the...
