EGU21-2657
https://doi.org/10.5194/egusphere-egu21-2657
EGU General Assembly 2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

The effects of assimilating a sub-grid scale sea ice thickness distribution in a new Arctic sea ice data assimilation system

Nicholas Williams1, Nicholas Byrne1, Daniel Feltham1, Peter Jan Van Leeuwen1,2, Ross Bannister1, David Schroeder1, and Andrew Shepherd3
Nicholas Williams et al.
  • 1University of Reading, Department of Meteorology, United Kingdom of Great Britain
  • 2Colorado State University, Atmospheric Science, Fort Collins, CO, United States
  • 3University of Leeds, Centre for Polar Observation and Modelling, School of Earth and Environment, Leeds, United Kingdom
A modified, standalone version of the Los Alamos Sea Ice Model (CICE) has been coupled to the Parallelized Data Assimilation Framework (PDAF) to produce a new Arctic sea ice data assimilation system CICE-PDAF, with routines for assimilating many types of recently developed sea ice observations. In this study we explore the effects of assimilating a sub-grid scale sea ice thickness distribution derived from Cryosat-2 Arctic sea ice estimates into CICE-PDAF. The true state of the sub-grid scale ice thickness distribution is not well established, and yet it plays a key role in large scale sea ice models and is vital to the dynamical and thermodynamical processes necessary to produce a good representation of the Arctic sea ice state. We examine how assimilating sub-grid scale sea ice thickness distributions can affect the evolution of the sea ice state in CICE-PDAF and better our understanding of the Arctic sea ice system.

How to cite: Williams, N., Byrne, N., Feltham, D., Van Leeuwen, P. J., Bannister, R., Schroeder, D., and Shepherd, A.: The effects of assimilating a sub-grid scale sea ice thickness distribution in a new Arctic sea ice data assimilation system, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-2657, https://doi.org/10.5194/egusphere-egu21-2657, 2021.

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