An assessment of ten ocean reanalyses in the polar regions

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...

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Detalles Bibliográficos
Autores: Uotila, Petteri; Goosse, Hugues; Haines, Keith; Chevallier, Matthieu; Barthélemy, Antoine; Bricaud, Clément; Carton, Jim; Fuckar, Neven; Garric, Gilles; Iovino, Doroteaciro; Kauker, Frank; Korhonen, Meri; Lien, Vidar S.; Marnela, Marika; Massonnet, François; Mignac, Davi; Peterson, K. Andrew; Sadikni, Remon; Shi, Li; Tietsche, Steffen; Toyoda, Takahiro; Xie, Jiping; Zhang, Zhaoru
Tipo de documento: Artículo
Fecha de publicación:2019
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Lenguaje:Inglés
OAI Identifier:oai:upcommons.upc.edu:2117/132671
Acceso en línea:https://hdl.handle.net/2117/132671
https://dx.doi.org/10.1007/s00382-018-4242-z
Nivel de acceso:Acceso abierto
Palabra clave:Oceanography
Reanalyses
Artic
Antartic
Sea-ice
Clima--Observacions
Àrees temàtiques de la UPC::Energies
Descripción
Sumario: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.