FN Archimer Export Format
PT J
TI Evaluation of global monitoring and forecasting systems at Mercator Ocean
BT 
AF LELLOUCHE, J. -M.
   LE GALLOUDEC, O.
   DREVILLON, M.
   REGNIER, C.
   GREINER, E.
   GARRIC, G.
   FERRY, N.
   DESPORTES, C.
   TESTUT, C. -E.
   BRICAUD, C.
   BOURDALLE-BADIE, R.
   TRANCHANT, B.
   BENKIRAN, M.
   DRILLET, Y.
   DAUDIN, A.
   DE NICOLA, C.
AS 1:1;2:1;3:1;4:;5:2;6:1;7:1;8:1;9:1;10:1;11:1;12:2;13:2;14:1;15:1;16:1;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;14:;15:;16:;
C1 Mercator Ocean, Ramonville St Agne, France.
   CLS, Ramonville St Agne, France.
C2 MERCATOR OCEAN, FRANCE
   CLS, FRANCE
IF 1.962
TC 187
UR https://archimer.ifremer.fr/doc/00141/25229/27513.pdf
   https://archimer.ifremer.fr/doc/00141/25229/93168.pdf
LA English
DT Article
CR EGEE/1
   EGEE/2
   EGEE/3
   EGEE/4
   EGEE/5
   EGEE/6
   PIRATA-FR06
   PIRATA-FR08
   PIRATA-FR1
   PIRATA-FR10
   PIRATA-FR11
   PIRATA-FR12
   PIRATA-FR13
   PIRATA-FR16
   PIRATA-FR18
   PIRATA-FR19
   PIRATA-FR2
   PIRATA-FR20
   PIRATA-FR21
   PIRATA-FR22 LEG1
   PIRATA-FR3
   PIRATA-FR5
BO Le Suroît
   L'Atalante
   Antea
AB Since December 2010, the MyOcean global analysis and forecasting system has consisted of the Mercator Ocean NEMO global 1/4 degrees configuration with a 1/12 degrees nested model over the Atlantic and the Mediterranean. The open boundary data for the nested configuration come from the global 1/4 degrees configuration at 20 degrees S and 80 degrees N. The data are assimilated by means of a reduced-order Kalman filter with a 3-D multivariate modal decomposition of the forecast error. It includes an adaptive-error estimate and a localization algorithm. A 3-D-Var scheme provides a correction for the slowly evolving large-scale biases in temperature and salinity. Altimeter data, satellite sea surface temperature and in situ temperature and salinity vertical profiles are jointly assimilated to estimate the initial conditions for numerical ocean forecasting. In addition to the quality control performed by data producers, the system carries out a proper quality control on temperature and salinity vertical profiles in order to minimise the risk of erroneous observed profiles being assimilated in the model. This paper describes the recent systems used by Mercator Ocean and the validation procedure applied to current MyOcean systems as well as systems under development. The paper shows how refinements or adjustments to the system during the validation procedure affect its quality. Additionally, we show that quality checks (in situ, drifters) and data sources (satellite sea surface temperature) have as great an impact as the system design (model physics and assimilation parameters). The results of the scientific assessment are illustrated with diagnostics over the year 2010 mainly, assorted with time series over the 2007-2011 period. The validation procedure demonstrates the accuracy of MyOcean global products, whose quality is stable over time. All monitoring systems are close to altimetric observations with a forecast RMS difference of 7 cm. The update of the mean dynamic topography corrects local biases in the Indonesian Throughflow and in the western tropical Pacific. This improves also the subsurface currents at the Equator. The global systems give an accurate description of water masses almost everywhere. Between 0 and 500 m, departures from in situ observations rarely exceed 1 degrees C and 0.2 psu. The assimilation of an improved sea surface temperature product aims to better represent the sea ice concentration and the sea ice edge. The systems under development are still suffering from a drift which can only be detected by means of a 5-yr hindcast, preventing us from upgrading them in real time. This emphasizes the need to pursue research while building future systems for MyOcean2 forecasting.
PY 2013
SO Ocean Science
SN 1812-0784
PU Copernicus Gesellschaft Mbh
VL 9
IS 1
UT 000314899900004
BP 57
EP 81
DI 10.5194/os-9-57-2013
ID 25229
ER

EF