MERCATOR OCEAN JOURNA: 
SEPTEMBER 2021 
3. PRODUCTS USED IN USER UPTAKE 
SERVICES 
Figure 4 shows, for each entity involved in the programme 
(33 leaders’ entities out of 39 demonstrations - 5 entities 
were awarded with 2 or more contracts), the number and 
the type of products downloaded and used by User Uptake 
contractors. Each colour represents a type of products: In 
deep blue analysis and forecasts model products; in deep 
orange reanalysis model products; in light blue near reaı 
time observation products; and in light orange reprocessing 
observation products. 
NUMBER OF PRODUCTS DOWNLOADED (in UU services] 
0 
4 
2 
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A 
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8 Q a 
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35 
FW ; 
& 
U 
- Model ANA&FEST 
TI CNKC, 
3555338558 
‚83 8 = 
; ES z 
; 53 
7 OBS NRT E Model RAN 
2 A m A 
38233358 
& 6535 
Al 
a 
‚OBS REP 
(x 
Product's breakdown per type and per service 
Most of the products downloaded are analysis and 
forecasting model products (Model ANA&FCST in deep 
blue) and near real time observations (0BS NRT in light 
blue) as the calls for tenders required operational 
services. Most of the contractors use at least five products. 
One contractor uses almost twenty different products as 
its application can be used all over Europe and the world. 
To go into more detail, Figure 5 (left) shows that the projects 
use 84 different products from the catalogue (out of 180); 
and, except for the MultiObs product, all product families 
are represented. The User Uptake contractors clearly 
explain In their demonstration, the usefulness of the 
marine products and how they are Integrated in their 
downstream service. It is also possible to collect the type 
and the number of variables used (see Figure 5 right, with 
biogeochemical variables in green, physical variables ir 
blue and sea-ice variables in grey). 
"he marine products are integrated in the User Uptake 
services In various different ways: downscaling with 
high resolution coastal model or multi model approach, 
with satellite derived products, with drift models, doing 
statistics with extreme events, calculating indices or risk 
ındicators, with a combination of products (models, in- 
situ, satellites) and/or artificial intelligence with machine 
learning or neural networks.