Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments

Frontiers in Marine Science

Isabelle Mirouze¹  Stephanie Guinehut²  Simona Masina³  Pierre-Yves Le Traon⁴  Elisabeth Rémy⁵  Mathieu Hamon⁵  Florent Gasparin⁵  Matthew J. Martin⁶  Chongyuan Mao⁶  Rebecca Reid⁶  Robert R. King⁶  Andrea Storto⁷ 

[1] Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, France;Collecte Localisation Satellites (CLS), Ramonville-Saint-Agne, France;Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy;Institut Français de Recherche pour l’Exploitation de la Mer (Ifremer), Plouzané, France;Mercator Océan International, Ramonville-Saint-Agne, France;Met Office, Exeter, United Kingdom;NATO Centre for Maritime Research and Experimentation, La Spezia, Italy;

关键词: observing system simulation experiment;    H2020 AtlantOS project;    Argo float;    deep observations;    drifter;    global monitoring and forecasting systems;   

DOI  :  10.3389/fmars.2019.00083

来源: DOAJ

【 摘 要 】

A coordinated effort, based on observing system simulation experiments (OSSEs), has been carried out by four European ocean forecasting centers for the first time, in order to provide insights on the present and future design of the in situ Atlantic Ocean observing system from a monitoring and forecasting perspective. This multi-system approach is based on assimilating synthetic data sets, obtained by sub-sampling in space and time using an eddy-resolving unconstrained simulation, named the Nature Run. To assess the ability of a given Atlantic Ocean observing system to constrain the ocean model state, a set of assimilating experiments were performed using four global eddy-permitting systems. For each set of experiments, different designs of the in situ observing system were assimilated, such as implementing a global drifter array equipped with a thermistor chain down to 150 m depth or extending a part of the global Argo array in the deep ocean. While results from the four systems show similarities and differences, the comparison of the experiments with the Nature Run, generally demonstrates a positive impact of the different extra observation networks on the temperature and salinity fields. The spread of the multi-system simulations, combined with the sensitivity of each system to the evaluated observing networks, allowed us to discuss the robustness of the results and their dependence on the specific analysis system. By helping define and test future observing systems from an integrated observing system view, the present work is an initial step toward better-coordinated initiatives supporting the evolution of the ocean observing system and its integration within ocean monitoring and forecasting systems.

【 授权许可】

Unknown