TY - JOUR
T1 - The Regional Ice Prediction System (RIPS)
T2 - Verification of forecast sea ice concentration
AU - Lemieux, Jean François
AU - Beaudoin, Christiane
AU - Dupont, Frédéric
AU - Roy, François
AU - Smith, Gregory C.
AU - Shlyaeva, Anna
AU - Buehner, Mark
AU - Caya, Alain
AU - Chen, Jack
AU - Carrieres, Tom
AU - Pogson, Lynn
AU - Derepentigny, Patricia
AU - Plante, André
AU - Pestieau, Paul
AU - Pellerin, Pierre
AU - Ritchie, Hal
AU - Garric, Gilles
AU - Ferry, Nicolas
N1 - Publisher Copyright:
© 2016 Royal Meteorological Society.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Arctic Ocean
KW - Sea ice
KW - Sea ice forecasting
KW - Verification method
UR - https://www.scopus.com/pages/publications/84926626313
U2 - 10.1002/qj.2526
DO - 10.1002/qj.2526
M3 - Article
AN - SCOPUS:84926626313
SN - 0035-9009
VL - 142
SP - 632
EP - 643
JO - Quarterly Journal of the Royal Meteorological Society
JF - Quarterly Journal of the Royal Meteorological Society
IS - 695
ER -