Publication Date:
2019-01-31
Description:
The Mediterranean Forecasting System (MFS) is a numerical ocean prediction system
that produces analyses, reanalyses and short term forecasts for the entire Mediterranean
Sea and its Atlantic Ocean adjacent areas. The system is now part of the Copernicus
Marine Environment Monitoring Service (CMEMS) providing regular and systematic
information about the physical state and dynamics of the Mediterranean Sea through
the Med-MFC (Mediterranean Monitoring and Forecasting Center).
MFS has been implemented in the Mediterranean Sea with 1/16o horizontal resolution
and 72 vertical levels and is composed by the hydrodynamic model NEMO (Nucleus
for European Modelling of the Ocean) 2-way online coupled with the third generation
wave model WaveWatchIII (Clementi et al., 2017a) and forced by ECMWF atmospheric
fields at 1/8° horizontal resolution. The model solutions are corrected by the data
assimilation system (3D variational scheme, Dobricic and Pinardi, 2008) with a daily
assimilation cycle of along track satellite Sea Level Anomaly (SLA) and vertical profiles
of Temperature and Salinity from ARGO and gliders. In this study we present a new
estimate of the background error covariance matrix with vertical Empirical Orthogonal
Functions (EOFs) that are defined at each grid point of the model domain in order to
better account for the error covariance between temperature and salinity in the shelf and
open ocean areas. Moreover the Observational error covariance matrix is z-dependent
and varies in each month. This new dataset has been tested and validated for more
than 2 years against a background error correlation matrix varying only seasonally and
in thirteen sub-regions of the Mediterranean Sea (Dobricic et al. 2005).
Description:
Published
Description:
Bergen, Norway
Description:
3SR. AMBIENTE - Servizi e ricerca per la Società
Keywords:
Data assimilation
;
EOFs
;
model error
;
observational error
Repository Name:
Istituto Nazionale di Geofisica e Vulcanologia (INGV)
Type:
Conference paper