Articles | Volume 14, issue 5
https://doi.org/10.5194/tc-14-1727-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-1727-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 May 2020
Research article |
| 29 May 2020
| 29 May 2020
Evaluation of Arctic sea ice drift and its dependency on near-surface wind and sea ice conditions in the coupled regional climate model HIRHAM–NAOSIM
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Potsdam, Germany
School of Marine Sciences, Nanjing University of Information
Science and Technology, Nanjing, China
Annette Rinke
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Potsdam, Germany
Wolfgang Dorn
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Potsdam, Germany
Gunnar Spreen
Institute of Environmental Physics, University of Bremen, Bremen,
Germany
Christof Lüpkes
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
Hiroshi Sumata
Ocean and Sea Ice, Norwegian Polar Institute, Tromsø, Norway
Vladimir M. Gryanik
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine
Research, Bremerhaven, Germany
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Cited
26 citations as recorded by crossref.
- Surface Heat and Moisture Exchange in the Marginal Ice Zone: Observations and a New Parameterization Scheme for Weather and Climate Models A. Elvidge et al.
- MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al.
- An Assessment of Sea Ice Motion Products in the Robeson Channel Using Daily Sentinel-1 Images T. Liu et al.
- Capacity of a set of CMIP6 models to simulate Arctic sea ice drift X. Zhang et al.
- Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations P. Srivastava et al.
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al.
- Assessing CMIP6 simulations of Arctic sea ice drift: Role of near-surface wind and surface ocean current in model performance X. Wang et al.
- Multiscale variations in Arctic sea ice motion and links to atmospheric and oceanic conditions D. Fu et al.
- Future trends of arctic surface wind speeds and their relationship with sea ice in CMIP5 climate model simulations S. Vavrus & R. Alkama
- Evolution of the Floe Size Distribution in Arctic Summer Based on High-Resolution Satellite Imagery Z. Li et al.
- Improved Simulation of the Polar Atmospheric Boundary Layer by Accounting for Aerodynamic Roughness in the Parameterization of Surface Scalar Exchange Over Sea Ice A. Elvidge et al.
- Investigating Future Arctic Sea Ice Loss and Near‐Surface Wind Speed Changes Related to Surface Roughness Using the Community Earth System Model A. DuVivier et al.
- Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller
- Risk of Environmental Management in Countries of African Union S. Kuzmin & D. Uvarova
- Analysis of sea ice deformation and its influencing factors in the Western Arctic from 2022 to 2023 X. Chang et al.
- Developing a deep learning forecasting system for short-term and high-resolution prediction of sea ice concentration A. Kvanum et al.
- New estimates of pan-Arctic sea ice–atmosphere neutral drag coefficients from ICESat-2 elevation data A. Mchedlishvili et al.
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al.
- Drivers of polar bear behavior and the possible effects of prey availability on foraging strategy R. Togunov et al.
- Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity Y. Koo & M. Rahnemoonfar
- Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019 F. Zhang et al.
- Atmospheric destabilization leads to Arctic Ocean winter surface wind intensification M. Zapponini & H. Goessling
- A self-attention convolutional long and short-term memory network for correcting sea surface wind field forecasts to facilitate sea ice drift prediction Q. Xu et al.
- Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product Y. Sun et al.
- Evaluation of dynamical downscaling in a fully coupled regional earth system model M. Seefeldt et al.
- A new state-dependent parameterization for the free drift of sea ice C. Brunette et al.
26 citations as recorded by crossref.
- Surface Heat and Moisture Exchange in the Marginal Ice Zone: Observations and a New Parameterization Scheme for Weather and Climate Models A. Elvidge et al.
- MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al.
- An Assessment of Sea Ice Motion Products in the Robeson Channel Using Daily Sentinel-1 Images T. Liu et al.
- Capacity of a set of CMIP6 models to simulate Arctic sea ice drift X. Zhang et al.
- Turbulent Heat Fluxes over Arctic Sea Ice: Measurements and Evaluation of Recent Parameterizations P. Srivastava et al.
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al.
- Assessing CMIP6 simulations of Arctic sea ice drift: Role of near-surface wind and surface ocean current in model performance X. Wang et al.
- Multiscale variations in Arctic sea ice motion and links to atmospheric and oceanic conditions D. Fu et al.
- Future trends of arctic surface wind speeds and their relationship with sea ice in CMIP5 climate model simulations S. Vavrus & R. Alkama
- Evolution of the Floe Size Distribution in Arctic Summer Based on High-Resolution Satellite Imagery Z. Li et al.
- Improved Simulation of the Polar Atmospheric Boundary Layer by Accounting for Aerodynamic Roughness in the Parameterization of Surface Scalar Exchange Over Sea Ice A. Elvidge et al.
- Investigating Future Arctic Sea Ice Loss and Near‐Surface Wind Speed Changes Related to Surface Roughness Using the Community Earth System Model A. DuVivier et al.
- Calibration of sea ice drift forecasts using random forest algorithms C. Palerme & M. Müller
- Risk of Environmental Management in Countries of African Union S. Kuzmin & D. Uvarova
- Analysis of sea ice deformation and its influencing factors in the Western Arctic from 2022 to 2023 X. Chang et al.
- Developing a deep learning forecasting system for short-term and high-resolution prediction of sea ice concentration A. Kvanum et al.
- New estimates of pan-Arctic sea ice–atmosphere neutral drag coefficients from ICESat-2 elevation data A. Mchedlishvili et al.
- Copernicus Marine Service Ocean State Report, Issue 5 K. von Schuckmann et al.
- Drivers of polar bear behavior and the possible effects of prey availability on foraging strategy R. Togunov et al.
- Hierarchical Information-Sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity Y. Koo & M. Rahnemoonfar
- Arctic sea ice motion change and response to atmospheric forcing between 1979 and 2019 F. Zhang et al.
- Atmospheric destabilization leads to Arctic Ocean winter surface wind intensification M. Zapponini & H. Goessling
- A self-attention convolutional long and short-term memory network for correcting sea surface wind field forecasts to facilitate sea ice drift prediction Q. Xu et al.
- Evaluation of the AMSR2 Ice Extent at the Arctic Sea Ice Edge Using an SAR-Based Ice Extent Product Y. Sun et al.
- Evaluation of dynamical downscaling in a fully coupled regional earth system model M. Seefeldt et al.
- A new state-dependent parameterization for the free drift of sea ice C. Brunette et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
Short summary
This study presents an evaluation of Arctic sea ice drift speed for the period 2003–2014 in a state-of-the-art coupled regional model for the Arctic, called HIRHAM–NAOSIM. In particular, the dependency of the drift speed on the near-surface wind speed and sea ice conditions is presented. Effects of sea ice form drag included by an improved parameterization of the transfer coefficients for momentum and heat over sea ice are discussed.
This study presents an evaluation of Arctic sea ice drift speed for the period 2003–2014 in a...
