FN Archimer Export Format
PT J
TI Requirements for an Integrated in situ Atlantic Ocean Observing System From Coordinated Observing System Simulation Experiments
BT 
AF Gasparin, Florent
   Guinehut, Stephanie
   Mao, Chongyuan
   Mirouze, Isabelle
   Rémy, Elisabeth
   King, Robert R.
   Hamon, Mathieu
   Reid, Rebecca
   Storto, Andrea
   Le Traon, Pierre-Yves
   Martin, Matthew J.
   Masina, Simona
AS 1:1;2:2;3:3;4:4,5;5:1;6:3;7:1;8:3;9:4,6;10:1,7;11:3;12:4;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:PDG-ODE;11:;12:;
C1 Mercator Océan International, Ramonville-Saint-Agne, France
   Collecte Localisation Satellites (CLS), Ramonville-Saint-Agne, France
   Met Office, Exeter, United Kingdom
   Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy
   Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique, Toulouse, France
   NATO Centre for Maritime Research and Experimentation, La Spezia, Italy
   Institut Français de Recherche pour l’Exploitation de la Mer (Ifremer), Plouzané, France
C2 MERCATOR OCEAN, FRANCE
   CLS, FRANCE
   MET OFFICE, UK
   CMCC, ITALY
   CERFACS, FRANCE
   NATO, ITALY
   IFREMER, FRANCE
SI BREST
SE PDG-ODE
IN WOS Ifremer UPR
   DOAJ
   copubli-france
   copubli-europe
IF 5.247
TC 21
UR https://archimer.ifremer.fr/doc/00485/59623/62651.pdf
LA English
DT Article
DE ;observing system simulation experiment;H2020 AtlantOS project;Argo float;deep observations;drifter;global monitoring and forecasting systems
AB 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. 
PY 2019
PD MAR
SO Frontiers In Marine Science
SN 2296-7745
PU Frontiers Media SA
VL 6
IS 83
UT 000462716600001
DI 10.3389/fmars.2019.00083
ID 59623
ER

EF