ARGO based statistics for climate monitoring

Other titles Statistiques pour le suivi climatique avec ARGO

Estadisticas sobre el cambio climatico con ARGO
Type Poster
Date 2012-09
Language English
Author(s) Gaillard FabienneORCID1, Reynaud Thierry1, Von Schuckmann Karina1, 2, Roquet Fabien3, Prigent Annaig1, Lagadec Catherine1
Affiliation(s) 1 : IFREMER, Laboratoire de Physique des Océans (LPO), UMR 6523, Ifremer, CNRS, IRD, UBO, BP. 70, 29280 Plouzané, France
2 : Laboratoire d'océanographie et du climat: Expérimentations et Approches Numériques (LOCEAN), UMR 7159 Paris, France
3 : Stockholm University, Suede
Meeting 4th ARGO Science Worshop, 27-29 september, Venice
Abstract The Argo array, by offering simultaneously global coverage and high vertical resolution, made the monitoring of inter-annual and decadal variability of the ocean interior possible. In the ARIVO project, we have initiated the production of gridded monthly fields of temperature and salinity using an optimal analysis tool and designed an iterative approach to combine near-real time and delayed mode data.
The monthly gridded fields are averaged over time to produce the reference state needed by climatological studies, dynamical modeling and reconstruction methods themselves. Higher degree statistics such as variances and extreme values are later derived. Global indices (heat content, dynamical height) and corresponding error bars are also computed.
Sensitivity tests and careful examination of the analysis results have been performed to detect biases and inconsistencies. A strategy is proposed to reduce these errors and produce a coherent statistical representation of the first decade of the third millennium.
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Gaillard Fabienne, Reynaud Thierry, Von Schuckmann Karina, Roquet Fabien, Prigent Annaig, Lagadec Catherine (2012). ARGO based statistics for climate monitoring. 4th ARGO Science Worshop, 27-29 september, Venice.