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Full text: A compilation of global bio-optical in situ data for ocean-colour satellite applications

1762 
A. Valente et al.: A compilation of global bio-optical in situ data 
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Figure 16. Examples of bio-optical relationships in the final merged table: (a) aph(443) versus chlorophyll-a. Total number of points (3387) 
Ss divided between AWI (753), COASTCOLOUR (335), MERMAID (214), NOMAD (991), SeaBASS (139), and TPSS (955). For reference, 
‘he solid line shows the regression from Bricaud et al. (2004). (b) [aph(443) + adg(443)] versus rrs(443). Total number of points (1112) is 
divided between MERMAID (33) and NOMAD (1079). (c) [rrs(490) / rrs(555)] versus kd(490). The total number of points (2280) is divided 
between MERMAID (62), NOMAD (2117), and SeaBASS (101). For reference, the solid line shows the NASA KD2S standard algorithm 
‘https://oceancolor.gsfc.nasa.gov/atbd/kd/, last access: 18 December 2022). (d) [rrs(490) / rrs(555)] versus bbp(555). The total number of 
Doints (365) is divided between MERMAID (33), NOMAD (324), COASTCOLOUR (4), and SeaBASS (4). For reference, the solid line 
shows the relation proposed by Tiwari and Shanmugam (2013). A search window of 2 nm was used for (a) and (b), and a search window of 
5 nm was used for (ec) and (d) to include data at 560 nm when not available at 555 nm. 
data are key for the validation of the most recent ocean 
colour missions (e.g. Sentinel 2B and Sentinel 3B) and for 
other activities such as System Vicarious Calibration. Fu- 
ture improvements of this data collection could be made by 
continuing to analyse the available data from the projects, 
cruises, and archives described in the present work (namely 
SeaBASS archive which hosts many bio-optical in situ data) 
and find new data sources, while making sure that the already 
compiled data sets are the most updated ones following sci- 
entific advances and improved quality control measures. 
zarth Syst. Sci. Data, 14, 5737-5770, 2022 
httos://doi.org/10.5194/essd-14-5737-2022
	        
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