Year: 2018
Type: article
Abstract: Global and regional ocean and sea ice reanalysis products (ORAs) are increasingly used in polar research, but their quality remains to be systematically assessed. To address this, the Polar ORA Intercomparison Project (Polar ORA-IP) has been established following on from the ORA-IP project. Several aspects of ten selected ORAs in the Arctic and Antarctic were addressed by concentrating on comparing their mean states in terms of snow, sea ice, ocean transports and hydrography. Most polar diagnostics were carried out for the first time in such an extensive set of ORAs. For the multi-ORA mean state, we found that deviations from observations were typically smaller than individual ORA anomalies, often attributed to offsetting biases of individual ORAs. The ORA ensemble mean therefore appears to be a useful product and while knowing its main deficiencies and recognising its restrictions, it can be used to gain useful information on the physical state of the polar marine environment.
Source: Climate Dynamics
Authors: Petteri Uotila, Hugues Goosse, Keith Haines, Matthieu Chevallier, Antoine Barthélemy, Clément Bricaud, Jim Carton, Neven Fučkar, Gilles Garric, Doroteaciro Iovino, Frank Kauker, Meri Korhonen, Vidar S. Lien, Marika Marnela, François Massonnet, Davi Mignac, K. Andrew Peterson, Remon Sadikni, Li Shi, Steffen Tietsche, Takahiro Toyoda, Jiping Xie, Zhaoru Zhang
Institutions: University of Helsinki, UCLouvain, KU Leuven, National Centre for Earth Observation, University of Reading, Centre National de la Recherche Scientifique, Centre National de Recherches Météorologiques, Météo-France, Mercator Ocean (France), University of Maryland, College Park, Barcelona Supercomputing Center, University of Oxford, CMCC Foundation - Euro-Mediterranean Center on Climate Change, Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung, Finnish Meteorological Institute, Norwegian Institute of Marine Research, Met Office, Universität Hamburg, Bureau of Meteorology, European Centre for Medium-Range Weather Forecasts, Japan Meteorological Agency, Meteorological Research Institute, Nansen Environmental and Remote Sensing Center, Shanghai Jiao Tong University
Language: English
Subfield: Oceanography
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,372
Awards: G434337789, Advanced Prediction in Polar regions and beyond: Modelling, observing system design and LInkages associated with ArctiC ClimATE change, NCEO LTS-S, Links between warming Arctic and climate extremes in northern Eurasia, Links between warming Arctic and climate extremes in northern Eurasia, G8944774407
OpenAlex ID: W2804729487