MERCATOR OCEAN JOURNA:
SEPTEMBER 2021
Chlorophyll concentration (Chl-a), the Primary Production
(PP), and the Phytoplankton Functional Types. Whereas
OPTICS refers to other variables retrieved from ocean
zolour sensors, and includes:
- inherent Optical Properties (IOPs), such as absorption
and scattering coefficients,
the diffuse attenuation coefficient of light at 490 nm
(Kd490),
secchi depth (transparency of water),
spectral Remote Sensing Reflectance (Rrs),
- photosynthetically available radiation (PAR),
coloured Dissolved Organic Matter (CDOM), and
the Suspended Particulate Matter (SPM).
1.1 Processing levels and timeliness
updated, hindcast, ancillary information such as precision
orbital data and meteorological fields used for atmospheric
correction (Le Traon et al., 2015).
Generally, once a year, the full data timeseries undergoes
reprocessing to ensure the most recent findings to be
consistently applied and back-propagated to all data.
These MY timeseries are produced with a consolidated anc
consistent input dataset and processing software version,
resulting in a dataset suitable for long-term analyses and
climate studies (Von Schuckman et al, 2017,
Sathyendranath et al., 2017 and references therein). Since
June 2020, REP timeseries are extended automatically
every six months and superseded NRT datasets for those
months are removed from the catalogue.
1.2 The OCTAC catalogue evolution 2015-2021
The CMEMS data are produced in near-real time (NRT),
delayed time (DT) and as reprocessed (REP) or Multi-Year
'MY) data. These are delivered as daily and monthly
datasets (Level 3, L3) and as “gap-free” products (Level 4,
L4) to overcome cloud cover in subsequent oceanographic
analyses (Le Traon et al., 2017; Le Traon et al., 2019).
Within OCTAC, NRT products are operationally produced
every day to provide the best estimate of ocean colour
variables at the time. These products are generated using
available satellite data as well as climatological ancillary
data (meteorological and ozone data for atmospheric
correction, and predicted attitude and ephemerides for
data geolocation). Improved DT products are also produced
operationally by reprocessing OC upstream data using
In 2015, the OCTAC catalogue was composed of 30 OC
Products (184 datasets) covering the Global Ocean and
European Regional Seas (Table 1). In NRT, all regional
products were based on single-sensors (MODIS and VIIRS}
and only the global product was based on sensor merging.
For the REP, the consistent re-processed multi-sensor
timeseries from 1997 to 2012 were based on the ESA OC-
SCI v2 including SeaWIFS, MODIS and MERIS
“Sathyendranath et al., 2019). The L4 “gap-free” products
were available only for a few products (GLO, MED and BS)
and they were based on Optimal Interpolation and variants
5f the DINEOF procedure (Beckers and Rixen, 2003).
CT:
lie:
TEN
ID
Glohal Ocean
Multi (MODIS+VIIRS)
3SM (Maritorena, et al.,
2010}
Multi
{MODIS+VIIRS)
Multi (0C-CCI 4km):
SeaWIFS+MODIS+MERIS
ChlO0C5, ChlOC4
Multi (0C-CCI 1km)
SeaWIFS+MODIS+MERIS
0C488 (Taberner et al., 2014)
Multi (0C-CCI 1km)
SeaWIFS+MODIS+MERIS
0C488 (Taberner et al., 2014)
Multi (0C-CCI 4km)
SeaWIFS+MODIS+MERIS
(Pitarch et al 21 A}
Arctic 0cean
single MODIS & VIIRS
IC488 (Taberner et al,
2014)
single MODIS & VIIRS
3C488 (Taberner et al.,
2014)
Atlantic Ocean
Multi (MODIS+VIRS)
Ol scheme
Baltic Sea
single MODIS HZG
Mediterranean Sea
single MODIS & VIIRS
Med0OC4 (Volpe et al., 2007)
single ) Multi (0C-CCI 4km)
MODIS & VIIRS SeaWIFS+MODIS+MERIS
DINEOF scheme Med0OC4 (Volpe et al., 2007)
single MODIS & VIIRS Multi (0C-CCI 4km) | Based on L3 Multi
DINEOF scheme SeaWIFS+MODIS+MERIS DINEOF scheme
Black Sea |
Single MODIS & VIIRS
{Kopelevich et al.. 20123)
Euronean Sea
an
Sinale (MODIS)
A
— a
[au 12 Summary of the upstream and processing chains in the OCTAC cataloaue at the start of Copernicus 1.