Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.713 IF 4.713
  • IF 5-year value: 4.927 IF 5-year
    4.927
  • CiteScore value: 8.0 CiteScore
    8.0
  • SNIP value: 1.425 SNIP 1.425
  • IPP value: 4.65 IPP 4.65
  • SJR value: 2.353 SJR 2.353
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 71 Scimago H
    index 71
  • h5-index value: 53 h5-index 53
Volume 10, issue 6
The Cryosphere, 10, 2999–3019, 2016
https://doi.org/10.5194/tc-10-2999-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 2999–3019, 2016
https://doi.org/10.5194/tc-10-2999-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Dec 2016

Research article | 09 Dec 2016

Quantification of ice production in Laptev Sea polynyas and its sensitivity to thin-ice parameterizations in a regional climate model

Oliver Gutjahr et al.

Related authors

Deep water formation in the North Atlantic Ocean in high resolution global coupled climate models
Torben Koenigk, Ramon Fuentes-Franco, Virna Meccia, Oliver Gutjahr, Laura C. Jackson, Adrian L. New, Pablo Ortega, Christopher Roberts, Malcolm Roberts, Thomas Arsouze, Doroteaciro Iovino, Marie-Pierre Moine, and Dmitry V. Sein
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-41,https://doi.org/10.5194/os-2020-41, 2020
Preprint under review for OS
Short summary
Max Planck Institute Earth System Model (MPI-ESM1.2) for the High-Resolution Model Intercomparison Project (HighResMIP)
Oliver Gutjahr, Dian Putrasahan, Katja Lohmann, Johann H. Jungclaus, Jin-Song von Storch, Nils Brüggemann, Helmuth Haak, and Achim Stössel
Geosci. Model Dev., 12, 3241–3281, https://doi.org/10.5194/gmd-12-3241-2019,https://doi.org/10.5194/gmd-12-3241-2019, 2019
Short summary

Related subject area

Numerical Modelling
Satellite-retrieved sea ice concentration uncertainty and its effect on modelling wave evolution in marginal ice zones
Takehiko Nose, Takuji Waseda, Tsubasa Kodaira, and Jun Inoue
The Cryosphere, 14, 2029–2052, https://doi.org/10.5194/tc-14-2029-2020,https://doi.org/10.5194/tc-14-2029-2020, 2020
Short summary
Ocean-forced evolution of the Amundsen Sea catchment, West Antarctica, by 2100
Alanna V. Alevropoulos-Borrill, Isabel J. Nias, Antony J. Payne, Nicholas R. Golledge, and Rory J. Bingham
The Cryosphere, 14, 1245–1258, https://doi.org/10.5194/tc-14-1245-2020,https://doi.org/10.5194/tc-14-1245-2020, 2020
Multi-physics ensemble snow modelling in the western Himalaya
David M. W. Pritchard, Nathan Forsythe, Greg O'Donnell, Hayley J. Fowler, and Nick Rutter
The Cryosphere, 14, 1225–1244, https://doi.org/10.5194/tc-14-1225-2020,https://doi.org/10.5194/tc-14-1225-2020, 2020
Short summary
Parameter sensitivity analysis of dynamic ice sheet models – numerical computations
Gong Cheng and Per Lötstedt
The Cryosphere, 14, 673–691, https://doi.org/10.5194/tc-14-673-2020,https://doi.org/10.5194/tc-14-673-2020, 2020
Short summary
Deep learning applied to glacier evolution modelling
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Clovis Galiez, Thomas Condom, and Eric Sauquet
The Cryosphere, 14, 565–584, https://doi.org/10.5194/tc-14-565-2020,https://doi.org/10.5194/tc-14-565-2020, 2020
Short summary

Cited articles

Aagard, K., Coachman, L., and Carmack, E.: On the halocline of the Arctic Ocean, Deep-Sea Res., 28, 529–545, https://doi.org/10.1016/0198-0149(81)90115-1, 1981.
Adams, S., Willmes, S., Heinemann, G., Rozman, P., Timmermann, R., and Schröder, D.: Evaluation of simulated sea-ice concentrations from sea-ice/ocean models using satellite data and polynya classification methods, Polar Res., 30, 7124, https://doi.org/10.3402/polar.v30i0.7124, 2011.
Adams, S., Willmes, S., Schroeder, D., Heinemann, G., Bauer, M., and Krumpen, T.: Improvement and sensitivity analysis of thermal thin-ice retrievals, IEEE T. Geosci. Remote, 51, 3306–3318, 2013.
Aksenov, Y., Ivanov, V. V., Nurser, A. J. G., Bacon, S., Polyakov, I. V., Coward, A. C., Garabato, A. C. N., and Moeller, A. B.: The Arctic circumpolar boundary current, J. Geophys. Res., 116, C09017, https://doi.org/10.1029/2010JC006637, 2011.
Backhaus, J. A., Fohrmann, H., Kaempf, J., and Rubina, A.: Formation and export of water masses produced in Arctic shelf polynyas – Process studies of oceanic convection, J. Mar. Sci., 54, 366–382, 1997.
Publications Copernicus
Download
Short summary
We estimated the formation of new sea ice within polynyas in the Laptev Sea (Siberia) with the regional climate model COSMO-CLM at 5 km horizontal resolution. Fractional sea ice and the representation of thin ice is often neglected in atmospheric models. Our study demonstrates, however, that the way thin ice in polynyas is represented in the model considerably affects the amount of newly formed sea-ice and the air–ice–ocean heat flux. Both processes impact the Arctic sea-ice budget.
We estimated the formation of new sea ice within polynyas in the Laptev Sea (Siberia) with the...
Citation