MERCATOR OCEAN JOURNA, 
SEPTEMBER 2021 
CMEMS SE project 
SOSSTA 
SCRUM2 
3I0TIMOD, OPTIMA 
| AMBDA 
| ATEMAR 
NAVEFLOW 
CEASELESS 
MMERSE 
-ORCOAST 
BS-MFC uptake 
Using the dynamical-statistical observation operator for satellite SST observations that 
account for skin SST layer diurnal variability. 
To create the new ensemble members (exploiting the stochastic code added to NEMO) 
and afterwards to evaluate them by using ensemble consistency analysis tools. 
mplementation of radiative transfer model in the BS-BIO model. 
-yaluation of river runoff data to improve BS-PHY svstems. 
DProposal of new wave parameters such as expected value of maximum crest height and 
expected value of maximum crest through wave height (both in spatial and temporal 
domain) for BS-WAV system. 
Development of a new WAM code using validation methods based on comparison with 
spectral data, which had already been tested successfully for the Global Ocean, North 
Sea and the Baltic Sea. 
\lew developments of wave model, wave data assimilation and coupling between waves 
and ocean models. 
\ew developments of NEMO ocean model, in particular a) for dealing with the usage of the 
ıigh resolution satellite dataset for ocean forecasting and validation, b) for adopting the 
new improved numerical NEMO kernel (for air-sea interaction, wave-currents coupling 
and biogeochemical interfaces), c) to exploit opportunities of new high performance 
computing technology for high resolution BS-MFC products. 
Jsing last stable version of the NEMO ocean model to: 
test air-sea interaction parameterization, wave-currents coupling and 
iogeochemical interfaces, 
-exploit the high performance computing optimizations for the next generation of 
ılgh resolution BS-MFC products, 
:est interfaces with high resolution observations for validating NEMO configuration 
for the Black Sea physical model. 
[o develop speclalized products for wild fisherv and mariculture sectors in the Rlack Sea 
‚List of uptakes from CMEMS Service Evolution and H2020 projects bv BS-MFC to improve the NRT and MY svstems. 
ACKNOWLEDGEMENT 
The Authors thank the BS-MFC Group composed by D. Azevedo, 5. Creti”, L. Stefanizzi, S. Causio from the BS-PHY PU at 
CMCC, A. Capet from the BS-BIO PU at ULiege, M. Ricker, H. Günther and G. Gayer from the BS-WAV PU at HZG for their 
scientific developments and technical support; F. Palermo (CMCC) as Technical Expert of the BS Technical Group; N. 
Pinardi, M. Gunduz and M. Illicak as Scientific Experts contributing to BS-PHY developments: N. Valcheva (I0-BAS) and P. 
Agostini (CMCC) for their support in the management.