NCSS for Grids ( Grid as Point Dataset )

Select Variable(s):

MERIS_nobs = Count of the number of observations from the MERIS sensor contributing to this bin cell
MODISA_nobs = Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell
OLCI_nobs = Count of the number of observations from the OLCI sensor contributing to this bin cell
Rrs_412 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
Rrs_412_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
Rrs_412_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.
Rrs_443 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
Rrs_443_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
Rrs_443_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.
Rrs_490 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
Rrs_490_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
Rrs_490_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.
Rrs_510 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
Rrs_510_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
Rrs_510_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.
Rrs_560 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.
Rrs_560_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.
Rrs_560_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.
Rrs_665 = Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.
Rrs_665_bias = Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.
Rrs_665_rmsd = Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.
SeaWiFS_nobs = Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell
VIIRS_nobs = Count of the number of observations from the VIIRS sensor contributing to this bin cell
chlor_a = Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships
chlor_a_log10_bias = Bias of log10-transformed chlorophyll-a concentration in seawater.
chlor_a_log10_rmsd = Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater.
total_nobs = Count of the total number of observations contributing to this bin cell
water_class1 = Normalised water class 1 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class10 = Normalised water class 10 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class11 = Normalised water class 11 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class12 = Normalised water class 12 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class13 = Normalised water class 13 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class14 = Normalised water class 14 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class2 = Normalised water class 2 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class3 = Normalised water class 3 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class4 = Normalised water class 4 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class5 = Normalised water class 5 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class6 = Normalised water class 6 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class7 = Normalised water class 7 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class8 = Normalised water class 8 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)
water_class9 = Normalised water class 9 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)