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TC | Volume 13, issue 5
The Cryosphere, 13, 1529-1546, 2019
https://doi.org/10.5194/tc-13-1529-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
The Cryosphere, 13, 1529-1546, 2019
https://doi.org/10.5194/tc-13-1529-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 28 May 2019

Research article | 28 May 2019

An efficient surface energy–mass balance model for snow and ice

Andreas Born et al.
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Cited articles  
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Barnola, J. M., Pimienta, P., Raznaud, D., and Korotkevich, Y. S.: CO2 climate relationship as deduced from the Vostok ice core: a reexamination based on new measurements and on a reevaluation of the air dating, Tellus, 43, 83–90, https://doi.org/10.1034/j.1600-0889.1991.t01-1-00002.x, 1991. a
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Bonelli, S., Charbit, S., Kageyama, M., Woillez, M.-N., Ramstein, G., Dumas, C., and Quiquet, A.: Investigating the evolution of major Northern Hemisphere ice sheets during the last glacial-interglacial cycle, Clim. Past, 5, 329–345, https://doi.org/10.5194/cp-5-329-2009, 2009. a
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We present a new numerical model to simulate the surface energy and mass balance of snow and ice. While similar models exist and cover a wide range of complexity from empirical models to those that simulate the microscopic structure of individual snow grains, we aim to strike a balance between physical completeness and numerical efficiency. This new model will enable physically accurate simulations over timescales of hundreds of millennia, a key requirement of investigating ice age cycles.
We present a new numerical model to simulate the surface energy and mass balance of snow and...
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