Preprints
https://doi.org/10.5194/tc-2020-361
https://doi.org/10.5194/tc-2020-361

  18 Feb 2021

18 Feb 2021

Review status: a revised version of this preprint is currently under review for the journal TC.

Edge displacement scores

Arne Melsom Arne Melsom
  • Norwegian Meteorological Institute

Abstract. As a consequence of a diminishing sea ice cover in the Arctic, activity is on the rise. The position of the sea ice edge, which is generally taken to define the extent of the ice cover, changes in response to dynamic and thermodynamic processes. Forecasts for sea ice expansion due to an advancing ice edge will provide information that can be of significance for operations in polar regions. However, the value of this information depends on the quality of the forecasts. Here, we present methods for examining the quality of forecasted sea ice expansion and the geographic location where the largest expansion are expected from the forecast results. The algorithm is simple to implement, and an examination of two years of model results and accompanying observations demonstrates the usefulness of the analysis.

Arne Melsom

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2020-361', Anonymous Referee #1, 06 Mar 2021
    • AC1: 'Reply on RC1', Arne Melsom, 10 Mar 2021
      • RC2: 'Reply on AC1', Anonymous Referee #1, 11 Mar 2021
        • AC2: 'Reply on RC2', Arne Melsom, 05 Apr 2021
  • RC3: 'Comment on tc-2020-361', Anonymous Referee #2, 24 Mar 2021
    • AC3: 'Reply on RC3', Arne Melsom, 18 Apr 2021

Arne Melsom

Data sets

SVIM ocean hindcast archive Norwegian Meteorological Institute, Institute of Marine Research https://doi.org/10.11582/2015.00014

Model code and software

Edge metrics software v.1.0 Arne Melsom https://doi.org/10.5281/zenodo.4545686

Arne Melsom

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Short summary
This study presents new methods to assess how well observations of sea ice expansion are reproduced by results from models. The aim is to provide information about the quality of forecasts for changes in the sea ice cover to operators in or near ice infested waters. A test using two years' model results demonstrates the practical applicability and usefulness of the methods that are presented.