Articles | Volume 9, issue 3
https://doi.org/10.5194/gmd-9-1125-2016
© 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/gmd-9-1125-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
24 Mar 2016
Development and technical paper |
| 24 Mar 2016
The location of the thermodynamic atmosphere–ice interface in fully coupled models – a case study using JULES and CICE
Met Office Hadley Centre, Exeter Devon, UK
Alison J. McLaren
Met Office Hadley Centre, Exeter Devon, UK
Helene T. Hewitt
Met Office Hadley Centre, Exeter Devon, UK
Martin J. Best
Met Office Hadley Centre, Exeter Devon, UK
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Cited
15 citations as recorded by crossref.
- The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al.
- UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions D. Storkey et al.
- The Canadian Earth System Model version 5 (CanESM5.0.3) N. Swart et al.
- On the Importance of Representing Snow Over Sea‐Ice for Simulating the Arctic Boundary Layer G. Arduini et al.
- The contribution of melt ponds to enhanced Arctic sea-ice melt during the Last Interglacial R. Diamond et al.
- On the numerical stability of surface–atmosphere coupling in weather and climate models A. Beljaars et al.
- Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system C. Guiavarc'h et al.
- Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model D. Bi et al.
- An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models A. Keen et al.
- The sea ice model component of HadGEM3-GC3.1 J. Ridley et al.
- Efficiently modelling urban heat storage: an interface conduction scheme in an urban land surface model (aTEB v2.0) M. Lipson et al.
- An EC-Earth coupled atmosphere–ocean single-column model (AOSCM.v1_EC-Earth3) for studying coupled marine and polar processes K. Hartung et al.
- The Met Office Unified Model Global Atmosphere 8.0 and JULES Global Land 9.0 configurations M. Willett et al.
- Understanding model spread in sea ice volume by attribution of model differences in seasonal ice growth and melt A. West et al.
- The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al.
15 citations as recorded by crossref.
- The Met Office Global Coupled Model 3.0 and 3.1 (GC3.0 and GC3.1) Configurations K. Williams et al.
- UK Global Ocean GO6 and GO7: a traceable hierarchy of model resolutions D. Storkey et al.
- The Canadian Earth System Model version 5 (CanESM5.0.3) N. Swart et al.
- On the Importance of Representing Snow Over Sea‐Ice for Simulating the Arctic Boundary Layer G. Arduini et al.
- The contribution of melt ponds to enhanced Arctic sea-ice melt during the Last Interglacial R. Diamond et al.
- On the numerical stability of surface–atmosphere coupling in weather and climate models A. Beljaars et al.
- Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system C. Guiavarc'h et al.
- Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model D. Bi et al.
- An inter-comparison of the mass budget of the Arctic sea ice in CMIP6 models A. Keen et al.
- The sea ice model component of HadGEM3-GC3.1 J. Ridley et al.
- Efficiently modelling urban heat storage: an interface conduction scheme in an urban land surface model (aTEB v2.0) M. Lipson et al.
- An EC-Earth coupled atmosphere–ocean single-column model (AOSCM.v1_EC-Earth3) for studying coupled marine and polar processes K. Hartung et al.
- The Met Office Unified Model Global Atmosphere 8.0 and JULES Global Land 9.0 configurations M. Willett et al.
- Understanding model spread in sea ice volume by attribution of model differences in seasonal ice growth and melt A. West et al.
- The sea ice component of GC5: coupling SI3 to HadGEM3 using conductive fluxes E. Blockley et al.
Saved (final revised paper)
Latest update: 03 May 2026
Short summary
This study compares two methods of coupling a sea ice model to an atmospheric model in a series of idealized one-dimensional experiments. The JULES method calculates surface variables in the atmosphere; the CICE method calculates surface variables in the sea ice. It is found that simulations of all variables are more accurate in the JULES method, likely because of the shorter time step of the atmosphere.
This study compares two methods of coupling a sea ice model to an atmospheric model in a series...
