On the timescales and length scales of the Arctic sea ice thickness anomalies: a study based on 14 reanalyses
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Published:2019-02-14
Issue:2
Volume:13
Page:521-543
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ISSN:1994-0424
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Container-title:The Cryosphere
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language:en
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Short-container-title:The Cryosphere
Author:
Ponsoni LeandroORCID, Massonnet FrançoisORCID, Fichefet Thierry, Chevallier Matthieu, Docquier DavidORCID
Abstract
Abstract. The ocean–sea ice reanalyses are one of the main sources of Arctic sea ice
thickness data both in terms of spatial and temporal resolution, since
observations are still sparse in time and space. In this work, we first aim
at comparing how the sea ice thickness from an ensemble of 14
reanalyses compares with different sources of observations, such as moored
upward-looking sonars, submarines, airbornes, satellites, and ice boreholes.
Second, based on the same reanalyses, we intend to characterize the
timescales (persistence) and length scales of sea ice thickness anomalies. We
investigate whether data assimilation of sea ice concentration by the
reanalyses impacts the realism of sea ice thickness as well as its respective
timescales and length scales. The results suggest that reanalyses with sea ice data
assimilation do not necessarily perform better in terms of sea ice thickness
compared with the reanalyses which do not assimilate sea ice concentration.
However, data assimilation has a clear impact on the timescales and length scales:
reanalyses built with sea ice data assimilation present shorter timescales and
length scales. The mean timescales and length scales for reanalyses with data
assimilation vary from 2.5 to 5.0 months and 337.0 to 732.5 km, respectively,
while reanalyses with no data assimilation are characterized by values from
4.9 to 7.8 months and 846.7 to 935.7 km, respectively.
Publisher
Copernicus GmbH
Subject
Earth-Surface Processes,Water Science and Technology
Reference77 articles.
1. Anisimov, O. A., Vaughan, D. G., Callaghan, T. V., Furgal, C., Marchant, H.,
Prowse, T. D., Vilhjálmsson, H., and Walsh, J. E.: Polar regions (Arctic and
Antarctic), Climate Change 2007: Impacts, Adaptation and Vulnerability,
Contribution of Working Group II to the Fourth Assessment Report of the
Intergovernmental Panel on Climate Change, Cambridge University Press,
Cambridge, 2007. a 2. Balmaseda, M. A., Hernandez, F., Storto, A., Palmer, M. D., Alves, O., Shi, L.,
Smith, G. C., Toyoda, T., Valdivieso, M., Barnier, B., Behringer, D., Boyer,
T., Chang, Y.-S., Chepurin, G. A., Ferry, N., Forget, G., Fujii, Y., Good,
S., Guinehut, S., Haines, K., Ishikawa, Y., Keeley, S., Köhl, A., Lee, T.,
Martin, M. J., Masina, S., Masuda, S., Meyssignac, B., Mogensen, K., Parent,
L., Peterson, K. A., Tang, Y. M., Yin, Y., Vernieres, G., Wang, X., Waters,
J., Wedd, R., Wang, O., Xue, Y., Chevallier, M., Lemieux, J.-F., Dupont, F.,
Kuragano, T., Kamachi, M., Awaji, T., Caltabiano, A., Wilmer-Becker, K.,
and Gaillard, F.: The Ocean Reanalyses Intercomparison Project (ORA-IP), J.
Oper. Oceanogr., 8, s80–s97, https://doi.org/10.1080/1755876X.2015.1022329, 2015. a 3. Blanchard-Wrigglesworth, E. and Bitz, C.: Characteristics of Arctic Sea-Ice
Thickness Variability in GCMs, J. Climate, 27, 8244–8258,
https://doi.org/10.1175/JCLI-D-14-00345.1, 2014. a, b, c, d, e, f, g 4. Blanchard-Wrigglesworth, E., Armour, K. C., Bitz, C., and DeWeaver, E.:
Persistence and Inherent Predictability of Arctic Sea Ice in a GCM Ensemble
and Observations, J. Climate, 24, 231–250, https://doi.org/10.1175/2010JCLI3775.1, 2011. a, b, c 5. Blockley, E. W., Martin, M. J., McLaren, A. J., Ryan, A. G., Waters, J., Lea, D. J., Mirouze, I., Peterson, K. A., Sellar, A.,
and Storkey, D.: Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new
Global FOAM forecasts, Geosci. Model Dev., 7, 2613–2638, https://doi.org/10.5194/gmd-7-2613-2014, 2014. a
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