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. Author manuscript; available in PMC: 2017 Nov 29.
Published in final edited form as: J Geophys Res Biogeosci. 2016 Feb 4;121(2):312–336. doi: 10.1002/2015JG003031

Table 3.

Satellite Validation Statistics of DOC Algorithms Within the MABa

Algorithm MAPD (%) ±sd (%) RMSE (μmol L−1) Median Ratio SIQR Bias (%) Slope R2 n
SeaWiFS
Power aCDOM*(380) 18.1 10.9 25.1 0.99 0.180 −6.2 0.20 0.39 36
Exponential aCDOM*(355) 18.7 11.3 24.7 1.04 0.185 −3.0 0.18 0.42 36
Exponential aCDOM*(380) 18.0 11.1 25.0 1.02 0.181 −4.8 0.18 0.44 36
Linear aCDOM(412) 11.1 7.5 15.2 1.05 0.091 9.0 1.09 0.90 28
MODIS
Power aCDOM(380) 17.2 10.9 22.3 1.08 0.138 0.60 0.27 0.46 50
Exponential aCDOM*(355) 18.8 11.4 23.0 1.11 0.130 3.7 0.24 0.48 50
Exponential aCDOM*(380) 17.4 10.9 22.3 1.08 0.127 1.7 0.25 0.52 50
Linear aCDOM(412) 13.9 9.2 18.0 1.04 0.100 −0.9 0.57 0.76 35
a

sd is the standard deviation of the MAPD. SIQR is the semi-interquartile range. The slope and R2 values are from Type II (Deming) linear regression analysis of 1-to-1 matchups between satellite DOC versus in situ DOC values. Linear CDOM algorithms were seasonally weighted via linear interpolation for transition periods.