Articles | Volume 14, issue 6
https://doi.org/10.5194/tc-14-2029-2020
https://doi.org/10.5194/tc-14-2029-2020
Research article
 | 
24 Jun 2020
Research article |  | 24 Jun 2020

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

Related authors

Spatial distributions of iron and manganese in surface waters in the Arctic’s Laptev and East Siberian seas
Naoya Kanna, Kazutaka Tateyama, Takuji Waseda, Anna Timofeeva, Maria Papadimitraki, Laura Whitmore, Hajime Obata, Daiki Nomura, Hiroshi Ogawa, Youhei Yamashita, and Igor Polyakov
EGUsphere, https://doi.org/10.5194/egusphere-2024-1834,https://doi.org/10.5194/egusphere-2024-1834, 2024
Short summary
Wave dispersion and dissipation in landfast ice: comparison of observations against models
Joey J. Voermans, Qingxiang Liu, Aleksey Marchenko, Jean Rabault, Kirill Filchuk, Ivan Ryzhov, Petra Heil, Takuji Waseda, Takehiko Nose, Tsubasa Kodaira, Jingkai Li, and Alexander V. Babanin
The Cryosphere, 15, 5557–5575, https://doi.org/10.5194/tc-15-5557-2021,https://doi.org/10.5194/tc-15-5557-2021, 2021
Short summary
Freshwater in the Arctic Ocean 2010–2019
Amy Solomon, Céline Heuzé, Benjamin Rabe, Sheldon Bacon, Laurent Bertino, Patrick Heimbach, Jun Inoue, Doroteaciro Iovino, Ruth Mottram, Xiangdong Zhang, Yevgeny Aksenov, Ronan McAdam, An Nguyen, Roshin P. Raj, and Han Tang
Ocean Sci., 17, 1081–1102, https://doi.org/10.5194/os-17-1081-2021,https://doi.org/10.5194/os-17-1081-2021, 2021
Short summary
Application of cloud particle sensor sondes for estimating the number concentration of cloud water droplets and liquid water content: case studies in the Arctic region
Jun Inoue, Yutaka Tobo, Kazutoshi Sato, Fumikazu Taketani, and Marion Maturilli
Atmos. Meas. Tech., 14, 4971–4987, https://doi.org/10.5194/amt-14-4971-2021,https://doi.org/10.5194/amt-14-4971-2021, 2021
Short summary
Ozone and carbon monoxide observations over open oceans on R/V Mirai from 67° S to 75° N during 2012 to 2017: testing global chemical reanalysis in terms of Arctic processes, low ozone levels at low latitudes, and pollution transport
Yugo Kanaya, Kazuyuki Miyazaki, Fumikazu Taketani, Takuma Miyakawa, Hisahiro Takashima, Yuichi Komazaki, Xiaole Pan, Saki Kato, Kengo Sudo, Takashi Sekiya, Jun Inoue, Kazutoshi Sato, and Kazuhiro Oshima
Atmos. Chem. Phys., 19, 7233–7254, https://doi.org/10.5194/acp-19-7233-2019,https://doi.org/10.5194/acp-19-7233-2019, 2019
Short summary

Cited articles

Andersen, S., Tonboe, R., Kaleschke, L., Heygster, G., and Pedersen, L. T.: Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res.-Oceans, 112, C08004, https://doi.org/10.1029/2006JC003543, 2007. a, b
ARCMFC: ARCMFC wave model data, Index, available at: ftp://nrt.cmems-du.eu/Core/ARCTIC_ANALYSIS_FORECAST_WAV_002_010/dataset-wam-arctic-1hr6km-be/, last access: 11 Augugst, 2019. a, b, c
Ardhuin, F., Rogers, E., Babanin, A. V., Filipot, J.-F., Magne, R., Roland, A., van der Westhuysen, A., Queffeulou, P., Lefevre, J.-M., Aouf, L., and Collard, F.: Semiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation, J. Phys. Oceanogr., 40, 1917–1941, https://doi.org/10.1175/2010JPO4324.1, 2010. a
Ardhuin, F., Boutin, G., Stopa, J., Girard-Ardhuin, F., Melsheimer, C., Thomson, J., Kohout, A., Doble, M., and Wadhams, P.: Wave attenuation through an Arctic marginal ice zone on October 12, 2015: Part 2. Numerical modeling of waves and associated ice break-up, J. Geophys. Res.-Oceans, 123, 5652–5668, https://doi.org/10.1002/2018JC013784, 2018. a, b, c, d, e, f
Bekkers, E., Francois, J. F., and Rojas-Romagosa, H.: Melting Ice Caps and the Economic Impact of Opening the Northern Sea Route, Econ. J., 128, 1095–1127, https://doi.org/10.1111/ecoj.12460, 2018. a
Download
Short summary
Accurate wave modelling in and near ice-covered ocean requires true sea ice concentration mapping of the model region. The information derived from satellite instruments has considerable uncertainty depending on retrieval algorithms and sensors. This study shows that the accuracy of satellite-retrieved sea ice concentration estimates is a major error source in wave–ice models. A similar feedback effect of sea ice concentration uncertainty may also apply to modelling lower atmospheric conditions.