37592 
(a) 
TARA 
SeaBASS 
NOMAD 
MOBY 
MERMAID 
COASTCOLOUR 
BOUSSOLE 
AWI 
AERONFT-OC 
105 
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10* 10% 102 
rs (44X nm) (sr 1\ 
A 
10° 
A. Valente et al.: A compilation of global bio-optical in situ data 
{b) 
107 TARA 
697 SeaBASS 
3323 NOMAD 
5034 MOBY 
885 MERMAID 
307 COASTCOLOUR 
18835 BOUSSOLE 
71 AWI 
34551 AFRONET-OC 
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107 
488 
3195 
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832 
307 
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1075 10% 10° 10° 
ırs (55X nm) (sr) 
10 
Figure 2. The distribution of (a) “rrs” at 44X nm and (b) “rrs” at 55X nm. Data were first searched at 445 and 555 nm, and then with a search 
window of up to 8 nm, to include data at 547 nm. The black boxes delimit the percentiles 0.25 and 0.75 of the data and the black horizontal 
lines show the extension of up to percentiles 0.05 and 0.95. The red line represents the median value and the black circles the values below 
(and above) the percentile 0.05 (0.95). The number of measurements of each data set is reported on the right axis of the graph. 
Temporal distribution of each variable 
K 
vl s Di 
N 
8000 
ITS 
N 
aph 
1000 
N 
adg 
100 
N 
bbp 
10 
kd 
tism 
(I I mm 
1234567 8 9101112 
Month 
Figure 3. Temporal distribution of chlorophyll-@ concentration 
(“chl’””), remote-sensing reflectance (“rrs”), algal pigment absorp- 
tion coefficient (“aph””), detrital plus CDOM absorption coefficient 
(“adg””), particle backscattering coefficient (“bbp”), the diffuse at- 
:enuation coefficient for downward irradiance (“kd’””), and total sus- 
pended matter (“tsm’””) in the final table. All chlorophyll data were 
considered, but for a given station, HPLC data were selected if avail- 
able. Colours indicate the number of stations available for each vari- 
able as a function of month and hemisphere of data acquisition (“N” 
Northern Hemisphere; “SS” — Southern Hemisphere). The empty 
(white) squares indicate no data for that month. 
cloud-free MERIS product; (2) an in situ reflectance data 
set where an in situ reflectance is available simultaneously 
with an in situ measurement of chlorophyll-a concentra- 
ion and/or total suspended matter; and (3) a simulated data 
set where reflectances were generated by a radiative trans- 
fer model. This work used the match-up data set, which in- 
cludes most of the in situ measurements, and is available 
at https://doi.org/10.1594/PANGAEA.841950 (Nechadet al., 
carth Syst. Sci. Data. 14. 5737-5770. 202. 
2015b). The match-up data set provides optical, biogeochem- 
ical, and physical data collections at 17 sites across the globe. 
From this data set, observations of reflectance, chlorophyll- 
a, total suspended matter, and IOPs were compiled. The re- 
mote sensing reflectances were corrected for the bidirectional 
nature of the light field (Morel and Gentili, 1996; Morel et 
al., 2002). The compiled variables were “rrs”, “chla_hplc”, 
“Chla_fluor”, “aph”, “adg”, “bbp”, and “tsm”. 
European Station for Time series in the Ocean, 
Canary Islands (ESTOC) 
2.2.21 
ESTOC is an open-ocean monitoring site located in the east- 
ern North Atlantic subtropical gyre. ESTOC was initiated 
in 1991 with particle flux measurements, and in 1994 be- 
gan standard observations of the water column, in addition 
to the deployment of a current meter mooring. The core pa- 
rameters measured at ESTOC include salinity, temperature, 
current speed, nutrients, chlorophyll, inorganic carbon, par- 
ticulate organic carbon and nitrogen, and sinking particle 
flux (Neuer et al., 2007). For this work, measurements of 
chlorophyll-a concentration from monthly cruises from 1994 
to 2011 were used. These data were provided to CCI follow- 
ing a specific request. The time of day was unavailable and 
was set to 12:00:00 (UTC). These observations were flagged 
with “1” in column “flag_time”. The compiled variable was 
“chla fluor”. 
Australia’s Integrated Marine Observing System 
(IMOS) 
IMOS is enabled by Australia’s National Collaborative Re- 
search Infrastructure Strategy (NCRIS) funded by Australian 
Government. Since 2006, IMOS is operating a wide range of 
observing equipment throughout the coastal and open ocean 
around Australia, making all data openly available to the 
scientific community, other stakeholders, and users. In this 
work. the IMOS data contribution refers to two data sets 
nttos://dol.org/10.5194/essd-14-5737-2022