Articles | Volume 10, issue 5
https://doi.org/10.5194/tc-10-2379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-10-2379-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Oct 2016
Research article |
| 13 Oct 2016
Improving satellite-retrieved surface radiative fluxes in polar regions using a smart sampling approach
Kristof Van Tricht
CORRESPONDING AUTHOR
KU Leuven – University of Leuven Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium
Invited contribution by K. Van Tricht, recipient of the EGU Outstanding Student Poster (OSP) Award 2015.
Stef Lhermitte
KU Leuven – University of Leuven Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium
Department of Geoscience & Remote Sensing, Delft University of Technology, Delft, the Netherlands
Irina V. Gorodetskaya
KU Leuven – University of Leuven Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium
CESAM – Centre for Environmental and Marine Studies, Department of Physics, University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
Nicole P. M. van Lipzig
KU Leuven – University of Leuven Department of Earth and Environmental Sciences, Celestijnenlaan 200E, 3001 Leuven, Belgium
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Cited
13 citations as recorded by crossref.
- Description and Demonstration of the Coupled Community Earth System Model v2 – Community Ice Sheet Model v2 (CESM2‐CISM2) L. Muntjewerf et al. 10.1029/2020MS002356
- Polar clouds and radiation in satellite observations, reanalyses, and climate models J. Lenaerts et al. 10.1002/2016GL072242
- Regional grid refinement in an Earth system model: impacts on the simulated Greenland surface mass balance L. van Kampenhout et al. 10.5194/tc-13-1547-2019
- Evaluation of CloudSat's Cloud‐Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet J. Ryan et al. 10.1029/2019JD031411
- The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. 10.1029/2018MS001583
- On the turbulent heat fluxes: A comparison among satellite-based estimates, atmospheric reanalyses, and in-situ observations during the winter climate over Arctic sea ice Z. Zhang et al. 10.1016/j.accre.2023.04.004
- Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet R. Sellevold et al. 10.5194/tc-13-3193-2019
- Downscaling CESM2 in CLM5 to Hindcast Preindustrial Equilibrium Line Altitudes for Tropical Mountain Glaciers N. Heavens 10.1029/2021GL094071
- Toward a Better Surface Radiation Budget Analysis Over Sea Ice in the High Arctic Ocean: A Comparative Study Between Satellite, Reanalysis, and local‐scale Observations C. Di Biagio et al. 10.1029/2020JD032555
- Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 2: Antarctica (1979–2016) J. van Wessem et al. 10.5194/tc-12-1479-2018
- Exploring the ability of the variable-resolution Community Earth System Model to simulate cryospheric–hydrological variables in High Mountain Asia R. Wijngaard et al. 10.5194/tc-17-3803-2023
- Variable temperature thresholds of melt pond formation on Antarctic ice shelves J. van Wessem et al. 10.1038/s41558-022-01577-1
- Evaluation of the CloudSat surface snowfall product over Antarctica using ground-based precipitation radars N. Souverijns et al. 10.5194/tc-12-3775-2018
13 citations as recorded by crossref.
- Description and Demonstration of the Coupled Community Earth System Model v2 – Community Ice Sheet Model v2 (CESM2‐CISM2) L. Muntjewerf et al. 10.1029/2020MS002356
- Polar clouds and radiation in satellite observations, reanalyses, and climate models J. Lenaerts et al. 10.1002/2016GL072242
- Regional grid refinement in an Earth system model: impacts on the simulated Greenland surface mass balance L. van Kampenhout et al. 10.5194/tc-13-1547-2019
- Evaluation of CloudSat's Cloud‐Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet J. Ryan et al. 10.1029/2019JD031411
- The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty D. Lawrence et al. 10.1029/2018MS001583
- On the turbulent heat fluxes: A comparison among satellite-based estimates, atmospheric reanalyses, and in-situ observations during the winter climate over Arctic sea ice Z. Zhang et al. 10.1016/j.accre.2023.04.004
- Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet R. Sellevold et al. 10.5194/tc-13-3193-2019
- Downscaling CESM2 in CLM5 to Hindcast Preindustrial Equilibrium Line Altitudes for Tropical Mountain Glaciers N. Heavens 10.1029/2021GL094071
- Toward a Better Surface Radiation Budget Analysis Over Sea Ice in the High Arctic Ocean: A Comparative Study Between Satellite, Reanalysis, and local‐scale Observations C. Di Biagio et al. 10.1029/2020JD032555
- Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 2: Antarctica (1979–2016) J. van Wessem et al. 10.5194/tc-12-1479-2018
- Exploring the ability of the variable-resolution Community Earth System Model to simulate cryospheric–hydrological variables in High Mountain Asia R. Wijngaard et al. 10.5194/tc-17-3803-2023
- Variable temperature thresholds of melt pond formation on Antarctic ice shelves J. van Wessem et al. 10.1038/s41558-022-01577-1
- Evaluation of the CloudSat surface snowfall product over Antarctica using ground-based precipitation radars N. Souverijns et al. 10.5194/tc-12-3775-2018
Latest update: 31 May 2025
Short summary
Despite the crucial role of polar regions in the global climate system, the limited availability of observations on the ground hampers a detailed understanding of their energy budget. Here we develop a method to use satellites to fill these observational gaps. We show that by sampling satellite observations in a smart way, coverage is greatly enhanced. We conclude that this method might help improve our understanding of the polar energy budget, and ultimately its effects on the global climate.
Despite the crucial role of polar regions in the global climate system, the limited availability...
