Articles | Volume 15, issue 2
Geosci. Model Dev., 15, 803–814, 2022
https://doi.org/10.5194/gmd-15-803-2022
Geosci. Model Dev., 15, 803–814, 2022
https://doi.org/10.5194/gmd-15-803-2022
Model description paper
28 Jan 2022
Model description paper | 28 Jan 2022

WIFF1.0: a hybrid machine-learning-based parameterization of wave-induced sea ice floe fracture

Christopher Horvat and Lettie A. Roach

Related authors

Directional Surface Wave Spectra And Sea Ice Structure from ICEsat-2 Altimetry
Momme C. Hell and Christopher Horvat
EGUsphere, https://doi.org/10.5194/egusphere-2022-842,https://doi.org/10.5194/egusphere-2022-842, 2022
Short summary
Summer sea ice floe size distribution in the Arctic: High-resolution optical satellite imagery and model evaluation
Yanan Wang, Byongjun Hwang, Adam William Bateson, Yevgeny Aksenov, and Christopher Horvat
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-130,https://doi.org/10.5194/tc-2022-130, 2022
Preprint under review for TC
Short summary
Altimetric observation of wave attenuation through the Antarctic marginal ice zone using ICESat-2
Jill Brouwer, Alexander D. Fraser, Damian J. Murphy, Pat Wongpan, Alberto Alberello, Alison Kohout, Christopher Horvat, Simon Wotherspoon, Robert A. Massom, Jessica Cartwright, and Guy D. Williams
The Cryosphere, 16, 2325–2353, https://doi.org/10.5194/tc-16-2325-2022,https://doi.org/10.5194/tc-16-2325-2022, 2022
Short summary
Impact of horizontal resolution on global ocean–sea ice model simulations based on the experimental protocols of the Ocean Model Intercomparison Project phase 2 (OMIP-2)
Eric P. Chassignet, Stephen G. Yeager, Baylor Fox-Kemper, Alexandra Bozec, Frederic Castruccio, Gokhan Danabasoglu, Christopher Horvat, Who M. Kim, Nikolay Koldunov, Yiwen Li, Pengfei Lin, Hailong Liu, Dmitry V. Sein, Dmitry Sidorenko, Qiang Wang, and Xiaobiao Xu
Geosci. Model Dev., 13, 4595–4637, https://doi.org/10.5194/gmd-13-4595-2020,https://doi.org/10.5194/gmd-13-4595-2020, 2020
Short summary
Estimating the sea ice floe size distribution using satellite altimetry: theory, climatology, and model comparison
Christopher Horvat, Lettie A. Roach, Rachel Tilling, Cecilia M. Bitz, Baylor Fox-Kemper, Colin Guider, Kaitlin Hill, Andy Ridout, and Andrew Shepherd
The Cryosphere, 13, 2869–2885, https://doi.org/10.5194/tc-13-2869-2019,https://doi.org/10.5194/tc-13-2869-2019, 2019
Short summary

Related subject area

Cryosphere
The Stochastic Ice-Sheet and Sea-Level System Model v1.0 (StISSM v1.0)
Vincent Verjans, Alexander A. Robel, Helene Seroussi, Lizz Ultee, and Andrew F. Thompson
Geosci. Model Dev., 15, 8269–8293, https://doi.org/10.5194/gmd-15-8269-2022,https://doi.org/10.5194/gmd-15-8269-2022, 2022
Short summary
Improved representation of the contemporary Greenland ice sheet firn layer by IMAU-FDM v1.2G
Max Brils, Peter Kuipers Munneke, Willem Jan van de Berg, and Michiel van den Broeke
Geosci. Model Dev., 15, 7121–7138, https://doi.org/10.5194/gmd-15-7121-2022,https://doi.org/10.5194/gmd-15-7121-2022, 2022
Short summary
Modeling the small-scale deposition of snow onto structured Arctic sea ice during a MOSAiC storm using snowBedFoam 1.0.
Océane Hames, Mahdi Jafari, David Nicholas Wagner, Ian Raphael, David Clemens-Sewall, Chris Polashenski, Matthew D. Shupe, Martin Schneebeli, and Michael Lehning
Geosci. Model Dev., 15, 6429–6449, https://doi.org/10.5194/gmd-15-6429-2022,https://doi.org/10.5194/gmd-15-6429-2022, 2022
Short summary
MuSA: The Multiscale Snow Data Assimilation System (v1.0)
Esteban Alonso-González, Kristoffer Aalstad, Mohamed Wassim Baba, Jesús Revuelto, Juan Ignacio López-Moreno, Joel Fiddes, Richard Essery, and Simon Gascoin
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-137,https://doi.org/10.5194/gmd-2022-137, 2022
Revised manuscript accepted for GMD
Short summary
Benchmarking the vertically integrated ice-sheet model IMAU-ICE (version 2.0)
Constantijn J. Berends, Heiko Goelzer, Thomas J. Reerink, Lennert B. Stap, and Roderik S. W. van de Wal
Geosci. Model Dev., 15, 5667–5688, https://doi.org/10.5194/gmd-15-5667-2022,https://doi.org/10.5194/gmd-15-5667-2022, 2022
Short summary

Cited articles

Aksenov, Y., Popova, E. E., Yool, A., Nurser, A. J., Williams, T. D., Bertino, L., and Bergh, J.: On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice, Mar. Policy, 75, 300–317, https://doi.org/10.1016/j.marpol.2015.12.027, 2017. a
Asplin, M. G., Galley, R., Barber, D. G., and Prinsenberg, S.: Fracture of summer perennial sea ice by ocean swell as a result of Arctic storms, J. Geophys. Res.-Oceans, 117, 1–12, https://doi.org/10.1029/2011JC007221, 2012. a
Asplin, M. G., Scharien, R., Else, B., Howell, S., Barber, D. G., Papakyriakou, T., and Prinsenberg, S.: Implications of fractured Arctic perennial ice cover on thermodynamic and dynamic sea ice processes, J. Geophys. Res.-Oceans, 119, 2327–2343, https://doi.org/10.1002/2013JC009557, 2014. a
Bateson, A. W., Feltham, D. L., Schröder, D., Hosekova, L., Ridley, J. K., and Aksenov, Y.: Impact of sea ice floe size distribution on seasonal fragmentation and melt of Arctic sea ice, The Cryosphere, 14, 403–428, https://doi.org/10.5194/tc-14-403-2020, 2020. a, b
Boutin, G., Ardhuin, F., Dumont, D., Sévigny, C., Girard-Ardhuin, F., and Accensi, M.: Floe size effect on wave-ice interactions: possible effects, implementation in wave model, and evaluation, J. Geophys. Res.-Oceans, 123, 4779–4805, https://doi.org/10.1029/2017JC013622, 2018. a
Download
Short summary
Sea ice is a composite of individual pieces, called floes, ranging in horizontal size from meters to kilometers. Variations in sea ice geometry are often forced by ocean waves, a process that is an important target of global climate models as it affects the rate of sea ice melting. Yet directly simulating these interactions is computationally expensive. We present a neural-network-based model of wave–ice fracture that allows models to incorporate their effect without added computational cost.