Chlorophyll a Concentration (Chlorophyll a, chlor_a): chlor_a is an essential medium in the marine primary production process. This dataset is provided by NASA. The updated dataset R2022 version is calculated using the blend algorithm of O'Reilly band ratio OCx and Hu color index CI algorithm, with units in mg m^-3.
Total Absorption at 443nm (a443): The total absorption coefficient at 443nm in seawater is one of the main parameters affecting the distribution of the water optical field and is an inherent optical property of water. This dataset is calculated using the Generalized Inherent Optical Properties (GIOP) model, with units in m^-1.
Total Backscattering at 443nm (bb443): The total backscattering coefficient at 443nm in seawater is one of the main parameters affecting the distribution of the water optical field and is an inherent optical property of water. This dataset is calculated using the Generalized Inherent Optical Properties (GIOP) model, with units in m^-1.
Diffuse Attenuation Coefficient for Downwelling Irradiance at 490 nm (Kd490): The diffuse attenuation coefficient at 490nm is related to the inherent optical properties of water and the light field in water, widely used to describe the penetration ability of water light. This dataset is calculated based on an empirical algorithm using measured Kd490 and remote sensing reflectance in the blue-green spectral band ratio, with units in m^-1.
Sea Surface Temperature (11 µm Sea Surface Temperature, SST): This dataset is the sea surface temperature measured by an infrared radiometer, with the ocean skin layer thickness typically less than 1 millimeter. The SST algorithm uses an improved Non-Linear Sea Surface Temperature algorithm (NLSST), derived from regression of in-situ and satellite measurements to obtain empirical coefficients suitable for both day and night observations, with units in degrees ℃.
Nighttime Sea Surface Temperature (Sea Surface Temperature (11 μm nighttime), NSST): This dataset is the sea surface temperature measured by an infrared radiometer, with the ocean skin layer thickness typically less than 1 millimeter. The SST algorithm uses an improved Non-Linear Sea Surface Temperature algorithm (NLSST), derived from regression of in-situ and satellite measurements to obtain empirical coefficients suitable for both day and night observations, with units in degrees ℃.
Photosynthetically Available Radiation (PAR): PAR is commonly defined as the energy flux of solar radiation in the 400-700nm wavelength range. It is an important input parameter for calculating marine primary productivity, with units in Einstein m^-2 d^-1. Detailed information on the PAR algorithm used in this dataset can be found in the white paper "Algorithm to estimate PAR from SeaWiFS data Version 1.2 - Documentation" by Frouin, Franz, and Wang.
Particulate Inorganic Carbon (PIC): PIC is an important component in studies of marine carbon cycling. This dataset calculates PIC using a 2-band algorithm and a 3-band combined method, utilizing normalized water-leaving radiances at 443nm and 551nm, as well as atmospheric apparent reflectance at 671nm, 751nm, and 862nm, with units in mol m^-3.
Particulate Organic Carbon (POC): POC is closely related to the marine biological pump and is an important component in studies of marine carbon cycling. This dataset uses an empirical relationship algorithm based on field-measured particulate organic carbon and the blue-green band ratio of remote sensing reflectance, with units in mol m^-3.
Remote Sensing Reflectance at 410nm (Rrs410): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs410 at a wavelength of 410nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.
Remote Sensing Reflectance at 443nm (Rrs443): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs443 at a wavelength of 443nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.
Remote Sensing Reflectance at 486nm (Rrs486): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs486 at a wavelength of 486nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.
Remote Sensing Reflectance at 551nm (Rrs551): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs551 at a wavelength of 551nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.
Remote Sensing Reflectance at 555nm (Rrs555): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs555 at a wavelength of 555nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.
Remote Sensing Reflectance at 671nm (Rrs671): The algorithm derives the upward spectral radiance below the ocean surface, normalized by the downward solar irradiance, and represents it as the spectral "remote sensing" reflectance Rrs671 at a wavelength of 671nm in the visible light spectrum, with units in sr^-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors, providing basic input for many derived product algorithms.