Articles | Volume 11, issue 9
https://doi.org/10.5194/gmd-11-3883-2018
https://doi.org/10.5194/gmd-11-3883-2018
Development and technical paper
 | 
27 Sep 2018
Development and technical paper |  | 27 Sep 2018

LCice 1.0 – a generalized Ice Sheet System Model coupler for LOVECLIM version 1.3: description, sensitivities, and validation with the Glacial Systems Model (GSM version D2017.aug17)

Taimaz Bahadory and Lev Tarasov

Related authors

A history-matching analysis of the Antarctic Ice Sheet since the last interglacial – Part 1: Ice sheet evolution
Benoit S. Lecavalier and Lev Tarasov
EGUsphere, https://doi.org/10.5194/egusphere-2024-1291,https://doi.org/10.5194/egusphere-2024-1291, 2024
Short summary
North American Pleistocene Glacial Erosion and Thin Pliocene Regolith Thickness Inferred from Data-Constrained Fully Coupled Ice-Climate-Sediment modelling
Matthew Drew and Lev Tarasov
EGUsphere, https://doi.org/10.5194/egusphere-2024-620,https://doi.org/10.5194/egusphere-2024-620, 2024
Short summary
The comparative role of physical system processes in Hudson Strait ice stream cycling: a comprehensive model-based test of Heinrich event hypotheses
Kevin Hank and Lev Tarasov
EGUsphere, https://doi.org/10.5194/egusphere-2024-493,https://doi.org/10.5194/egusphere-2024-493, 2024
Short summary
Uncertainties originating from GCM downscaling and bias correction with application to the MIS-11c Greenland Ice Sheet
Brian R. Crow, Lev Tarasov, Michael Schulz, and Matthias Prange
Clim. Past, 20, 281–296, https://doi.org/10.5194/cp-20-281-2024,https://doi.org/10.5194/cp-20-281-2024, 2024
Short summary
Surging of a Hudson Strait-scale ice stream: subglacial hydrology matters but the process details mostly do not
Matthew Drew and Lev Tarasov
The Cryosphere, 17, 5391–5415, https://doi.org/10.5194/tc-17-5391-2023,https://doi.org/10.5194/tc-17-5391-2023, 2023
Short summary

Related subject area

Climate and Earth system modeling
Impact of ocean vertical-mixing parameterization on Arctic sea ice and upper-ocean properties using the NEMO-SI3 model
Sofia Allende, Anne Marie Treguier, Camille Lique, Clément de Boyer Montégut, François Massonnet, Thierry Fichefet, and Antoine Barthélemy
Geosci. Model Dev., 17, 7445–7466, https://doi.org/10.5194/gmd-17-7445-2024,https://doi.org/10.5194/gmd-17-7445-2024, 2024
Short summary
Bridging the gap: a new module for human water use in the Community Earth System Model version 2.2.1
Sabin I. Taranu, David M. Lawrence, Yoshihide Wada, Ting Tang, Erik Kluzek, Sam Rabin, Yi Yao, Steven J. De Hertog, Inne Vanderkelen, and Wim Thiery
Geosci. Model Dev., 17, 7365–7399, https://doi.org/10.5194/gmd-17-7365-2024,https://doi.org/10.5194/gmd-17-7365-2024, 2024
Short summary
A new lightning scheme in the Canadian Atmospheric Model (CanAM5.1): implementation, evaluation, and projections of lightning and fire in future climates
Cynthia Whaley, Montana Etten-Bohm, Courtney Schumacher, Ayodeji Akingunola, Vivek Arora, Jason Cole, Michael Lazare, David Plummer, Knut von Salzen, and Barbara Winter
Geosci. Model Dev., 17, 7141–7155, https://doi.org/10.5194/gmd-17-7141-2024,https://doi.org/10.5194/gmd-17-7141-2024, 2024
Short summary
Methane dynamics in the Baltic Sea: investigating concentration, flux, and isotopic composition patterns using the coupled physical–biogeochemical model BALTSEM-CH4 v1.0
Erik Gustafsson, Bo G. Gustafsson, Martijn Hermans, Christoph Humborg, and Christian Stranne
Geosci. Model Dev., 17, 7157–7179, https://doi.org/10.5194/gmd-17-7157-2024,https://doi.org/10.5194/gmd-17-7157-2024, 2024
Short summary
Split-explicit external mode solver in the finite volume sea ice–ocean model FESOM2
Tridib Banerjee, Patrick Scholz, Sergey Danilov, Knut Klingbeil, and Dmitry Sidorenko
Geosci. Model Dev., 17, 7051–7065, https://doi.org/10.5194/gmd-17-7051-2024,https://doi.org/10.5194/gmd-17-7051-2024, 2024
Short summary

Cited articles

Arnold, N. S., Rees, W. G., Hodson, A. J., and Kohler, J.: Topographic controls on the surface energy balance of a high Arctic valley glacier, J. Geophys. Res.-Earth Surf., 111, F02011, https://doi.org/10.1029/2005JF000426, 2006. a, b
Bahadory, T. and Tarasov, L.: LCice 1.0: A generalized Ice Sheet Systems Model coupler for LOVECLIM version 1.3, Zenodo, available at: http://doi.org/10.5281/zenodo.1409282, last access: 21 September 2018. 
Balmaseda, M. A., Vidard, A., and Anderson, D. L. T.: The ECMWF Ocean Analysis System: ORA-S3, Mon. Weather Rev., 136, 3018–3034, https://doi.org/10.1175/2008MWR2433.1, 2008. a, b
Bassford, R., Siegert, M., and Dowdeswell, J.: Quantifying the mass balance of ice caps on Severnaya Zemlya, Russian High Arctic. II: Modeling the flow of the Vavilov Ice Cap under the present climate, Arct. Antarct. Alpine Res., 38, 13–20, 2006a. a
Bassford, R., Siegert, M., Dowdeswell, J., Oerlemans, J., Glazovsky, A., and Macheret, Y.: Quantifying the mass balance of ice caps on Severnaya Zemlya, Russian High Arctic. I: Climate and mass balance of the Vavilov Ice Cap, Arct. Antarct. Alpine Res., 38, 1–12, 2006b. a
Download
Short summary
We describe a new coupling between the Glacial Systems Model and the LOVECLIM intermediate complexity climate model. The coupling is distinguished from that of previous studies by greater completeness and accuracy, with the intent of capturing the major feedbacks between ice sheets and climate on glacial cycle timescales. The fully coupled model will be used to examine the ice/climate phase space of past glacial cycles.