Articles | Volume 13, issue 12
https://doi.org/10.5194/tc-13-3193-2019
© Author(s) 2019. 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-13-3193-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Dec 2019
Research article |
| 04 Dec 2019
| 04 Dec 2019
Surface mass balance downscaling through elevation classes in an Earth system model: application to the Greenland ice sheet
Raymond Sellevold
CORRESPONDING AUTHOR
Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
Leonardus van Kampenhout
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands
Jan T. M. Lenaerts
Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO, USA
Brice Noël
Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, the Netherlands
William H. Lipscomb
Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Miren Vizcaino
Geoscience and Remote Sensing, Delft University of Technology, Delft, the Netherlands
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Cited
21 citations as recorded by crossref.
- Large and irreversible future decline of the Greenland ice sheet J. Gregory et al. 10.5194/tc-14-4299-2020
- 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
- An Efficient Ice Sheet/Earth System Model Spin‐up Procedure for CESM2‐CISM2: Description, Evaluation, and Broader Applicability M. Lofverstrom et al. 10.1029/2019MS001984
- Deep Learning Regional Climate Model Emulators: A Comparison of Two Downscaling Training Frameworks M. van der Meer et al. 10.1029/2022MS003593
- Influence of Arctic sea-ice loss on the Greenland ice sheet climate R. Sellevold et al. 10.1007/s00382-021-05897-4
- Present‐Day Greenland Ice Sheet Climate and Surface Mass Balance in CESM2 L. van Kampenhout et al. 10.1029/2019JF005318
- Contrasting the Penultimate Glacial Maximum and the Last Glacial Maximum (140 and 21 ka) using coupled climate–ice sheet modelling V. Patterson et al. 10.5194/cp-20-2191-2024
- Modelling snowpack on ice surfaces with the ORCHIDEE land surface model: application to the Greenland ice sheet S. Charbit et al. 10.5194/tc-18-5067-2024
- Global Warming Threshold and Mechanisms for Accelerated Greenland Ice Sheet Surface Mass Loss R. Sellevold & M. Vizcaíno 10.1029/2019MS002029
- Coupling the U.K. Earth System Model to Dynamic Models of the Greenland and Antarctic Ice Sheets R. Smith et al. 10.1029/2021MS002520
- Evolution and prospects of Earth system models: Challenges and opportunities X. Pan et al. 10.1016/j.earscirev.2024.104986
- The role of an interactive Greenland ice sheet in the coupled climate-ice sheet model EC-Earth-PISM M. Madsen et al. 10.1007/s00382-022-06184-6
- Mass loss of the Greenland ice sheet until the year 3000 under a sustained late-21st-century climate R. Greve & C. Chambers 10.1017/jog.2022.9
- Impact of Grids and Dynamical Cores in CESM2.2 on the Surface Mass Balance of the Greenland Ice Sheet A. Herrington et al. 10.1029/2022MS003192
- De‐Tuning Albedo Parameters in a Coupled Climate Ice Sheet Model to Simulate the North American Ice Sheet at the Last Glacial Maximum N. Gandy et al. 10.1029/2023JF007250
- A stochastic parameterization of ice sheet surface mass balance for the Stochastic Ice-Sheet and Sea-Level System Model (StISSM v1.0) L. Ultee et al. 10.5194/gmd-17-1041-2024
- Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges U. Herzfeld et al. 10.3390/rs16111854
- Surface mass balance and climate of the Last Glacial Maximum Northern Hemisphere ice sheets: simulations with CESM2.1 S. Bradley et al. 10.5194/cp-20-211-2024
- Accelerated Greenland Ice Sheet Mass Loss Under High Greenhouse Gas Forcing as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. 10.1029/2019MS002031
- FAMOUS version xotzt (FAMOUS-ice): a general circulation model (GCM) capable of energy- and water-conserving coupling to an ice sheet model R. Smith et al. 10.5194/gmd-14-5769-2021
- First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt R. Sellevold & M. Vizcaino 10.1029/2021GL092449
21 citations as recorded by crossref.
- Large and irreversible future decline of the Greenland ice sheet J. Gregory et al. 10.5194/tc-14-4299-2020
- 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
- An Efficient Ice Sheet/Earth System Model Spin‐up Procedure for CESM2‐CISM2: Description, Evaluation, and Broader Applicability M. Lofverstrom et al. 10.1029/2019MS001984
- Deep Learning Regional Climate Model Emulators: A Comparison of Two Downscaling Training Frameworks M. van der Meer et al. 10.1029/2022MS003593
- Influence of Arctic sea-ice loss on the Greenland ice sheet climate R. Sellevold et al. 10.1007/s00382-021-05897-4
- Present‐Day Greenland Ice Sheet Climate and Surface Mass Balance in CESM2 L. van Kampenhout et al. 10.1029/2019JF005318
- Contrasting the Penultimate Glacial Maximum and the Last Glacial Maximum (140 and 21 ka) using coupled climate–ice sheet modelling V. Patterson et al. 10.5194/cp-20-2191-2024
- Modelling snowpack on ice surfaces with the ORCHIDEE land surface model: application to the Greenland ice sheet S. Charbit et al. 10.5194/tc-18-5067-2024
- Global Warming Threshold and Mechanisms for Accelerated Greenland Ice Sheet Surface Mass Loss R. Sellevold & M. Vizcaíno 10.1029/2019MS002029
- Coupling the U.K. Earth System Model to Dynamic Models of the Greenland and Antarctic Ice Sheets R. Smith et al. 10.1029/2021MS002520
- Evolution and prospects of Earth system models: Challenges and opportunities X. Pan et al. 10.1016/j.earscirev.2024.104986
- The role of an interactive Greenland ice sheet in the coupled climate-ice sheet model EC-Earth-PISM M. Madsen et al. 10.1007/s00382-022-06184-6
- Mass loss of the Greenland ice sheet until the year 3000 under a sustained late-21st-century climate R. Greve & C. Chambers 10.1017/jog.2022.9
- Impact of Grids and Dynamical Cores in CESM2.2 on the Surface Mass Balance of the Greenland Ice Sheet A. Herrington et al. 10.1029/2022MS003192
- De‐Tuning Albedo Parameters in a Coupled Climate Ice Sheet Model to Simulate the North American Ice Sheet at the Last Glacial Maximum N. Gandy et al. 10.1029/2023JF007250
- A stochastic parameterization of ice sheet surface mass balance for the Stochastic Ice-Sheet and Sea-Level System Model (StISSM v1.0) L. Ultee et al. 10.5194/gmd-17-1041-2024
- Combining “Deep Learning” and Physically Constrained Neural Networks to Derive Complex Glaciological Change Processes from Modern High-Resolution Satellite Imagery: Application of the GEOCLASS-Image System to Create VarioCNN for Glacier Surges U. Herzfeld et al. 10.3390/rs16111854
- Surface mass balance and climate of the Last Glacial Maximum Northern Hemisphere ice sheets: simulations with CESM2.1 S. Bradley et al. 10.5194/cp-20-211-2024
- Accelerated Greenland Ice Sheet Mass Loss Under High Greenhouse Gas Forcing as Simulated by the Coupled CESM2.1‐CISM2.1 L. Muntjewerf et al. 10.1029/2019MS002031
- FAMOUS version xotzt (FAMOUS-ice): a general circulation model (GCM) capable of energy- and water-conserving coupling to an ice sheet model R. Smith et al. 10.5194/gmd-14-5769-2021
- First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt R. Sellevold & M. Vizcaino 10.1029/2021GL092449
Latest update: 14 Dec 2024
Short summary
We evaluate a downscaling method to calculate ice sheet surface mass balance with global climate models, despite their coarse resolution. We compare it with high-resolution climate modeling. Despite absence of fine-scale simulation of individual energy and mass contributors, the method provides realistic vertical SMB gradients that can be used in forcing of ice sheet models, e.g., for sea level projections. Also, the climate model simulation is improved with the method implemented interactively.
We evaluate a downscaling method to calculate ice sheet surface mass balance with global climate...
