FN Archimer Export Format PT C TI ARGO based statistics for climate monitoring OT Statistiques pour le suivi climatique avec ARGO OT Estadisticas sobre el cambio climatico con ARGO BT AF GAILLARD, Fabienne REYNAUD, Thierry VON SCHUCKMANN, Karina ROQUET, Fabien PRIGENT, Annaig LAGADEC, Catherine AS 1:1;2:1;3:1,2;4:3;5:1;6:1; FF 1:PDG-ODE-LPO;2:PDG-ODE-LPO;3:PDG-ODE-LER-LERPAC;4:;5:PDG-ODE-LPO;6:PDG-ODE-LPO; C1 IFREMER, Laboratoire de Physique des Océans (LPO), UMR 6523, Ifremer, CNRS, IRD, UBO, BP. 70, 29280 Plouzané, France Laboratoire d'océanographie et du climat: Expérimentations et Approches Numériques (LOCEAN), UMR 7159 Paris, France Stockholm University, Suede C2 IFREMER, FRANCE IPSL, FRANCE UNIV STOCKHOLM, SUEDE SI BREST TOULON SE PDG-ODE-LPO PDG-ODE-LER-LERPAC UR https://archimer.ifremer.fr/doc/00112/22355/20035.pdf LA English DT Poster AB 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. PY 2012 PD SEP ID 22355 ER EF