In:
Ocean Science, Copernicus GmbH, Vol. 14, No. 5 ( 2018-09-25), p. 1093-1126
Abstract:
Abstract. 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.
Type of Medium:
Online Resource
ISSN:
1812-0792
DOI:
10.5194/os-14-1093-2018
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2018
detail.hit.zdb_id:
2183769-7
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