The Regional Ice Prediction System (RIPS): Verification of forecast sea ice concentration

  • Jean François Lemieux
  • , Christiane Beaudoin
  • , Frédéric Dupont
  • , François Roy
  • , Gregory C. Smith
  • , Anna Shlyaeva
  • , Mark Buehner
  • , Alain Caya
  • , Jack Chen
  • , Tom Carrieres
  • , Lynn Pogson
  • , Patricia Derepentigny
  • , André Plante
  • , Paul Pestieau
  • , Pierre Pellerin
  • , Hal Ritchie
  • , Gilles Garric
  • , Nicolas Ferry

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

In recent years, the demand for improved environmental forecasts in the Arctic has intensified as maritime transport and offshore exploration increase. As a result, Canada has accepted responsibility for the preparation and issuing services for the new Arctic MET/NAV Areas XVII and XVIII. Environmental forecasts are being developed based on a new integrated Arctic marine prediction system. Here, we present the first phase of this initiative, a short-term pan-Arctic 1/12° resolution Regional Ice Prediction System (RIPS). RIPS is currently set to perform four 48 h forecasts per day. The RIPS forecast model (CICE 4.0) is forced by atmospheric forecasts from the Environment Canada regional deterministic prediction system. It is initialized with a 3D-Var analysis of sea ice concentration and the ice velocity field and thickness distribution from the previous forecast. The other forcing (surface current) and initialization fields (mixed-layer depth, sea surface temperature and salinity) come from the 1/4° resolution Global Ice Ocean Prediction System. Three verification methods for sea ice concentration are presented. Overall, verifications over a complete seasonal cycle (2011) against the Ice Mapping System ice extent product show that RIPS 48 h forecasts are better than persistence during the growth season while they have a lower skill than persistence during the melt period. A better representation of landfast ice, oceanic processes (wave-ice interactions, upwelling events, etc.) in the marginal ice zone and better initializing fields should lead to improved forecasts.

Original languageEnglish
Pages (from-to)632-643
Number of pages12
JournalQuarterly Journal of the Royal Meteorological Society
Volume142
Issue number695
DOIs
StatePublished - Jan 1 2016

Keywords

  • Arctic Ocean
  • Sea ice
  • Sea ice forecasting
  • Verification method

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