Sea Ice Sensitivities in the 0.72 degrees and 0.08 degrees Arctic Cap Coupled HYCOM/CICE Models

Abstract

Perennial Arctic ice extent, which corresponds to the sea ice that remains during the summer minimum, has decreased over the years 1979 2007 by more than 10% per decade (Comiso et al., 2008). The decline has been faster over recent years, leading to very low ice concentration in the summers of 2007 and 2008 (Goosse et al. 2009) with the lowest observed sea ice extent in the satellite record (1979-present) occurring in September 2012 (Perovich et al. 2012). Further reduction in perennial ice extent will likely lead to the inception of new shipping lanes through the Arctic bringing both opportunities for commerce and the need for heightened defense scrutiny. Prediction of future Arctic sea ice conditions, on both short and longer-term time scales are dependent on the capability of the component models in integrated Arctic and global models. The long-term goal of this project, therefore, is to improve the performance of the sea-ice model used in the Navy's coupled ocean and sea-ice prediction systems. These models consist of the Hybrid Coordinate Ocean Model (HYCOM) and the Los Alamos National Laboratory (LANL) CICE model. The objectives of the project are to optimize the depiction of ice processes in existing Navy Research Laboratory (NRL) configurations of coupled HYCOM/CICE using sensitivity testing, and together with NRL implement and test new versions of CICE in these coupled model set-ups as they become available from the LANL developers.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2013
Accession Number
ADA601136

Entities

People

  • Julie L. McClean

Organizations

  • Scripps Institution of Oceanography

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Beaufort Sea
  • California
  • Data Sets
  • Ice
  • Information Operations
  • Low Resolution
  • Models
  • Navy
  • Observation
  • Oceans
  • Sea Ice
  • Sea Surface Temperature
  • Sensitivity
  • Surface Temperature
  • Thickness

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Polar and Arctic Studies

Technology Areas

  • Space