A. Valente et al.: A compilation of global bio-optical in situ data
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Figure 15. Global distribution of diffuse attenuation coefficient for downward irradiance (“kd””) and total suspended matter (“tsm’””) per
data set in the final table. The “tsm”” and “kd” points from MERMAID overlap each other in west Black Sea (- 40° N, 30° E) and Arctic
(70° N. 120° W).
MAID and SeaBASS). The relation between the sum of
“aph” and “adg” at 443 nm and “rrs” at 443 nm (Fig. 16b)
shows a dispersion similar, except for some scattered points,
‘Oo an equivalent analysis on the IOCCG report 5 (IOCCG,
2006; see their Fig. 2.3). Again, the scattered data were re-
:ained in the final table to preserve the NOMAD data set.
A total of 1112 points exists for which these three vari-
ables are available (97 % from NOMAD). The relation be-
:ween the ratio rrs(490) / rrs(555) and kd(490) (Fig. 16c)
shows a good agreement with the NASA KD2S standard
algorithm (https://oceancolor.gsfc.nasa.gov/atbd/kd/, last ac-
cess: 18 December 2022). A total of 2280 points exists for
which these three variables are available (93 % from NO-
MAD). The relation between the ratio rrs(490) / rrs(555) and
“bbp” at 555 nm (Fig. 16c) shows a good agreement with the
‚elation suggested by Tiwari and Shanmugam (2013). A to-
tal of 365 points exists for which these three variables are
available (89 % from NOMAD).
4 Data availlabilitv
Information about the data availability can be found in Ap-
pendix B.
5 Summary and conclusions
In this work, a compilation of bio-optical in situ data is
presented, resulting from the acquisition, homogenization,
and unification of several sets of data obtained from differ-
ent sources. The compiled data have a global coverage and
span the period from 1997 to 2021, which corresponds to
che period of a continuous satellite ocean colour data record.
Minimal changes were made on the original data, other than
conversion to standard format. data reductions in time and
attos://doi.org/10.5194/essd-14-573 /-2UZ,
space, and quality control. In situ measurements of the fol-
lowing variables were compiled: remote-sensing reflectance,
chlorophyll-a concentration, algal pigment absorption coeffi-
cient, detrital and coloured dissolved organic matter absorp-
tion coefficient, particle backscattering coefficient, diffuse at-
tenuation coefficient for downward irradiance, and total sus-
pended matter.
The final set of data consists of a substantial number of
in situ observations, available in a simple text format, and
processed in a way that is used directly for the evaluation
of satellite-derived ocean colour data. The major advantages
of this compilation are that it merges six commonly-used
data sources in ocean colour validation (MOBY, BOUS-
SOLE, AERONET-OC, SeaBASS, NOMAD, MERMAID),
four data sources developed for ocean colour applications
(AWI, COASTCOLOUR, TPSS, and TARA), and 17 ad-
ditional sets of chlorophyll-a concentration data (AMT.
ICES, HOT, GeP&CO, ARCSSPP, BARENTSSEA, BATS,
BIOCHEM, BODC, CALCOFTI, CCELTER, CIMT, ESTOC,
[MOS, MAREDAT, PALMER, SEADATANET) free of du-
plicated observations. This data set was initially created with
the intention of evaluating the quality of the satellite ocean
colour products from the ESA OC-CCI project, but it can
also be used for other purposes, including the validation of
retrievals from recent satellite missions such as Landsat 8
and Sentinel 2. It may also be useful in the preparation of fu-
ture sensors like NASA PACE. In addition, it is likely one of
the largest collections of chlorophyll-a concentrations ever
assembled, making it useful for the climate and biological
scientific communities. The objective of publishing the com-
pilation is to make it easily accessible for the broader com-
munity.
In comparison with previous versions, the main advan-
tage of the present version (version 3) is that it includes
more recent data (especially from 2016 onwards). These new
Earth Syst. Sei. Data, 14. 5737-5770. 2022