NASA-SeaWiFS Dataset

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Information

Producer National Aeronautics and Space Administration
Data Type Remote Sensing
Data Abbreviation chlor_a, a443, bb443, Kd490, PAR, PIC, POC, Rrs412, Rrs443, Rrs490, Rrs510, Rrs555, Rrs670
Time Range 1997.9-2010.12
Product Level L3B
Spatial Coverage Global
Spatial resolution 9 km
Temporal Resolution Daily、Monthly
Reference Coordinate System Equal Latitude-Longitude Projection

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Description

Chlorophyll concentration (Chlorophyll a, chlor_a): chlor_a is an essential mediator in marine primary production processes. This dataset is provided by NASA, and the updated dataset version R2022 is calculated using the blend algorithm combining O'Reilly band ratio OCx and Hu color index CI, with units in mg m-3.
443nm total absorption coefficient (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.
443nm total backscattering (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.
490nm diffuse attenuation coefficient (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 underwater light field and is widely used to describe the penetration ability of water light. This dataset is calculated based on the empirical algorithm of measured Kd490 and remote sensing reflectance in the blue-green spectral bands, with units in m-1.
Photosynthetically Available Radiation (PAR): The general definition of PAR is the energy flux of the sun in the 400-700nm wavelength range, which is an important input parameter for calculating marine primary productivity, with units in Einstein m-2 d-1. The PAR algorithm for 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 for detailed information.
Particulate Inorganic Carbon (PIC): PIC is an important component in the study of marine carbon cycling. This dataset calculates PIC using a 2-band algorithm and a combination of a 3-band method, utilizing normalized water-leaving radiances at 443nm and 555nm, and atmospheric apparent reflectance at 670nm, 765nm, and 865nm, 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 the study of marine carbon cycling. This dataset uses an empirical relationship algorithm based on field measurements of particulate organic carbon and the blue-green spectral band ratio of remote sensing reflectance, with units in mol m-3.
412nm Remote Sensing Reflectance (Rrs412): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs412 at a wavelength of 412nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
443nm Remote Sensing Reflectance (Rrs443): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs443 at a wavelength of 443nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
490nm Remote Sensing Reflectance (Rrs490): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs490 at a wavelength of 490nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
510nm Remote Sensing Reflectance (Rrs510): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs510 at a wavelength of 510nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
555nm Remote Sensing Reflectance (Rrs555): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs555 at a wavelength of 555nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
670nm Remote Sensing Reflectance (Rrs670): The algorithm derives the upward spectral radiance below the ocean surface, normalized by downward solar irradiance, and expressed as the spectral "remote sensing" reflectance Rrs670 at a wavelength of 670nm in the visible light range, with units in sr-1. Remote sensing reflectance is a fundamental quantity derived from ocean color sensors and provides basic input for many derived product algorithms.
 
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Naming Convention

NASA_SeaWiFS_SeaWiFS_YYYYMMDDTOYYYYMMDD_L3B_GLOBAL_9KM_XXX_NASA2018
XXX: parameters
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Related Website

This dataset is available for open download and use at the National Earth System Science Data Center(http://www.geodata.cn/)
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Reference

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