FN Archimer Export Format
PT J
TI Recent updates to the Copernicus Marine Service global ocean monitoring and forecasting real-time 1∕12° high-resolution system
BT 
AF LELLOUCHE, Jean-Michel
   GREINER, Eric
   LE GALLOUDEC, Olivier
   GARRIC, Gilles
   REGNIER, Charly
   DREVILLON, Marie
   BENKIRAN, Mounir
   TESTUT, Charles-Emmanuel
   BOURDALLE-BADIE, Romain
   GASPARIN, Florent
   HERNANDEZ, Olga
   LEVIER, Bruno
   DRILLED, Yann
   REMY, Elisabeth
   LE TRAON, Pierre-Yves
AS 1:1;2:2;3:1;4:1;5:1;6:1;7:1;8:1;9:1;10:1;11:1;12:1;13:1;14:1;15:1,3;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:PDG-ODE;
C1 Mercator Ocean, Ramonville St Agne, France.
   Collecte Localisat Satellites, Ramonville St Agne, France.
   IFREMER, F-29280 Plouzane, France.
C2 MERCATOR OCEAN, FRANCE
   CLS, FRANCE
   IFREMER, FRANCE
SI BREST
SE PDG-ODE
IN WOS Ifremer jusqu'en 2018
   DOAJ
   copubli-france
IF 2.539
TC 252
UR https://archimer.ifremer.fr/doc/00458/56993/58884.pdf
   https://archimer.ifremer.fr/doc/00458/56993/58885.pdf
LA English
DT Article
AB Since 19 October 2016, and in the framework of Copernicus Marine Environment Monitoring Service (CMEMS), Mercator Ocean has delivered real-time daily services (weekly analyses and daily 10-day forecasts) with a new global 1∕12° high-resolution (eddy-resolving) monitoring and forecasting system. The model component is the NEMO platform driven at the surface by the IFS ECMWF atmospheric analyses and forecasts. Observations are assimilated by means of a reduced-order Kalman filter with a three-dimensional multivariate modal decomposition of the background error. Along-track altimeter data, satellite sea surface temperature, sea ice concentration, and in situ temperature and salinity vertical profiles are jointly assimilated to estimate the initial conditions for numerical ocean forecasting. A 3D-VAR scheme provides a correction for the slowly evolving large-scale biases in temperature and salinity. This paper describes the recent updates applied to the system and discusses the importance of fine tuning an ocean monitoring and forecasting system. It details more particularly the impact of the initialization, the correction of precipitation, the assimilation of climatological temperature and salinity in the deep ocean, the construction of the background error covariance and the adaptive tuning of observation error on increasing the realism of the analysis and forecasts. The scientific assessment of the ocean estimations are illustrated with diagnostics over some particular years, assorted with time series over the time period 2007–2016. The overall impact of the integration of all updates on the product quality is also discussed, highlighting a gain in performance and reliability of the current global monitoring and forecasting system compared to its previous version. 
PY 2018
PD SEP
SO Ocean Science
SN 1812-0784
PU Copernicus Gesellschaft Mbh
VL 14
IS 5
UT 000445464300002
BP 1093
EP 1126
DI 10.5194/os-14-1093-2018
ID 56993
ER

EF