NOAA MSL12 Ocean Color - Science Quality - VIIRS SNPP

VIIRS Science Quality Ocean Color Level 2 (EDR) is produced by NOAA/STAR Ocean Color Team through NOAA Multi-Sensor Level 1 to Level 2 processing system (MSL12) using an improved calibration for the satellite data record (OC-SDR, which is Level 1b).  CoastWatch Level-3 composites, binned and mapped data products also available.

    Data Access
    HTTPS
    THREDDS
    Sample Filenames

    V2011355013534_NPP_SCINIR_L2.nc

    Global Map projection displaying chlorophyll-a concentration

    The current VIIRS SNPP science quality collection, released in CoastWatch as of 07 August 2017, is produced from MSL12 v1.2* using OC-SDR v04.  VIIRS NOAA-20 Science Quality is currently in development.  NOAA-20 Near real-time is already available.

    Ocean Color satellite sensors measure visible light at specific wavelengths which leaves the surface of the ocean and arrives at the top of the atmosphere where the sensor is located. nLw, can be calculated. nLws are used to derive other ocean properties such as the concentration of chlorophyll-a (chlor-a, chlora, or sometimes chl , which is the green pigment responsible for photosynthesis and therefore and indicator of the amount of phytoplankton biomass in the ocean water) and the coefficients for attenuation of downwelling irradiance (Kd(PAR) and Kd(490) which are related to water clarity).

    The ocean color datasets described here are from the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the Suomi-NPP satellite (SNPP) which was launched in November 2011 and aboard the NOAA-20 which was launched in November 2017.  The ocean color science quality collection differ in several ways from the near real-time products (Table 1).

    *Note that the metadata in the NetCDF files show v1.20 from the beginning of the collection (2 Jan. 2012) up tthrough 24 April 2017 and v1.21 from 25 April 2017 forward. This version change did not affect retrieval values for the standard products served by CoastWatch.

    Table 1. Comparison of primary processing differences for VIIRS SNPP near real time versus science quality ocean color data.

    Parameter Near real-time Science Quality
    Latency ~12 hours (best effort) Delayed 15 days
    Sensor Data Record (SDR) IDPS Operational SDR SDR produced by the NOAA/STAR ocean color team  
    Ancillary Data Predicted Assimilated
    Spatial Coverage May have gaps As complete as possible

    Standard VIIRS SNPP ocean color data Level 2 products from MSL12 v1.2(both near real-time and science quality) include:

    • Normalized water-leaving (nLw) radiance at 6 visible bands (nominal center wavelengths)
      • M1 (410nm)
      • M2 (443nm)
      • M3 (486nm)
      • M4 (551nm)
      • M5 (671nm)
      • I1 (638 nm)
    • Chlorophyll-a¬†concentration
    • Diffuse attenuation coefficient at 490 nm (Kd(490)), and
    • Diffuse attenuation coefficient of photosynthetically active radiation (Kd(PAR))
    • QA Score (a quantitative assessment of VIIRS ocean color performance with respect to an empirical catalog of in situ spectra, Wei et al., 2016; see reference tab)

    See Table 2 for quick reference matrix of additional science quality VIIRS ocean color products. The Ocean Color Granule Selector is a tool to interactively preview, choose and download L2 granule files. Data files are in NetCDF4/CF but differ from past NOAA CoastWatch products in their use of hierarchical groups to store attributes, variables, and dimensions. CoastWatch Utilities Software has been updated to work with these files. Additional metadata can be obtained using THREDDS services such as ISO or OPeNDAP.

    Table 2. Quick reference matrix of science quality VIIRS ocean color products available from CoastWatch.

     
    Product Description Processing Level Nominal Spatial Resolution Chl-a nLws Kd(PAR) Kd(490) QA Score
    Daily granule global swath @750 m L2 750 m X X X X X
    Daily merged global sectorized * L3 750 m in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch not currently available
    7-day merged global sectorized * L3 750 m in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch not currently available
    True monthly merged global sectorized * L3 750 m in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch in progress at CoastWatch not currently available
    Daily merged global single file L3 4 km X X X X X
    7-day merged global single file L3 4 km X X X X X
    Monthly merged global single file L3 4 km X X X X X

    *See Figure 1 for description and identification of sectors.

    Level-2 science quality ocean color products are organized by Year and Day-of-the-Year. Filenames will appear as follows: V2017187003435_NPP_SCINIR_L2.nc where:

    V: Sensor VIIRS
    2017: Year of observation (YYYY)
    187: Day of year for the observation (DDD)
    003435: Hour, minutes, and seconds of the start of observation (hhmmss) in UTC
    NPP: Spacecraft S-NPP
    SCINIR: Sensor data record source and environmental data record algorithm.
    Indicates the standard Science Quality output for distribution
    L2: Processing level. L2 includes calibrated and geolocated geophysical products

     

    Figure 1. Twenty-four sectors identified for file naming convention. Sectors enable downloads of select subset regions from global high resolution VIIRS ocean color science quality data.

    Map of CoastWatch VIIRS Sectors for the entire globe

    Temporal Start Date
    January 2, 2011
    Temporal Coverage

    SNPP: 02 January 2011 through 15 days before present (15 day delay on Science Quality)
    NOAA-20: TBD - coming soon

    Product Families
    Ocean Color
    Measurements
    Chlorophyll-a Concentration
    Diffuse Attenuation Coefficients
    Normalized Water-Leaving Radiances
    Ocean Color Quality Score
    Processing Levels
    Level 2
    Level 3
    Latency Groups
    0 Hours <= 24 Hours (NRT)
    Latency Details

    ~12-24 h

    Spatial Resolution Groups
    100m < 2km
    2km+
    Spatial Resolution Details

    750 m @ Nadir; ~1.7 km at swath edge full resolution in L2 granules
    L3 mapped to 24 sector files (see description tab).
    And 4 km L3 reduced resolution global mapped in one file.

    Data Providers
    NOAA
    NESDIS
    STAR
    Spatial Coverage

    Global

    Description

    180W - 180E
    90N - 90S

    CoastWatch Global Sectors

    Description

    The 24 sectors identified for file naming convention when referring to VIIRS data. 

    Image
    Map showing grid of CoastWatch VIIRS Sectors

    MSL12

    Description

    Multi-Sensor Level-1 to Level-2 (MSL12) Ocean Color Data Processing System

    SNPP

    Description

    Suomi National Polar-orbiting Partnership

    Platform Type
    Low Earth Orbit Satellite (LEO)
    Instruments
    Organizations
    NASA
    NOAA
    Orbital Altitude
    833 km
    Equatorial Crossing Times
    13:25 asc

    VIIRS

    Description

    Visible Infrared Imaging Radiometer Suite

    Platforms
    Instrument Types
    Imager
    Organizations
    NASA
    • Algorithm Theoretical Basis Document (ATBD): Wang, M., X. Liu, L. Jiang and S. Son, "The VIIRS Ocean Color Products",¬†Algorithm Theoretical Basis Document Version 1.0, 68 pp., June 2017.
    • Sun, J., X. Xiong, E. Waluschka, and M. Wang, 2016, "Suomi National Polar- Orbiting Partnership Visible Infrared Imaging Radiometer Suite polarization sensitivity analysis",¬†Appl. Opt., 55, 7645-7658 (2016).¬†doi:10.1364/AO.55.007645
    • Wang, M. and S. Son, 2016, "VIIRS -derived chlorophyll-a using the ocean color index method",¬†Remote Sens. Environ .,¬†182, 141-149 (2016).¬†doi:10.1016/j.rse.2016.05.001
    • Sun, J. and M. Wang, 2016, "VIIRS reflective solar bands calibration progress and its impact on ocean color products",¬†Remote Sens., 8, 194 (2016).¬†doi:10.3390/rs8030194
    • Sun, J., M. Chu, and M. Wang, 2016, "Degradation nonuniformity in the solar diffuser bidiretional reflectance distribution function",¬†Appl. Opt .,¬†55, 6001-6016 (2016).¬†doi:10.1364/AO.55.006001
    • Wang, M., 2016, "Rayleigh radiance computations for satellite remote sensing: accounting for the effect of sensor spectral response function",¬†Opt. Express, 24, 12414-12429 (2016).¬†doi:10.1364/OE.24.012414
    • Wang, M., P. Naik, and S. Son, 2016, "Out-of-band effects of satellite ocean color sensors",¬†Appl. Opt .,¬†55, 2312-2323 (2016).¬†doi:10.1364/AO.55.002312
    • Wang, M., W. Shi, L. Jiang, and K. Voss, 2016, "NIR- and SWIR-based on-orbit vicarious calibrations for satellite ocean color sensors",¬†Opt. Express, 24, 20437-20453 (2016).¬†doi:10.1364/OE.24.020437
    • Sun, J. and M. Wang, 2015, "On-orbit calibration of Visible Infrared Imaging Radiometer Suite reflective solar bands and its challenges using a solar diffuser",¬†Appl. Opt .,¬†54, 7210-7223 (2015).¬†doi:10.1364/AO.54.007210
    • Sun, J. and M. Wang, 2015, "On-orbit characterization of the VIIRS solar diffuser and solar diffuser screen",¬†Appl. Opt .,¬†54, 236-252 (2015).¬†doi:10.1364/AO.54.000236
    • Sun, J. and M. Wang, 2015, "Radiometric calibration of the Visible Infrared Imaging Radiometer Suite reflective solar bands with robust characterizations and hybrid calibration coefficients",¬†Appl. Opt .,¬†54, 9331-9342 (2015).¬†doi:10.1364/AO.54.009331
    • Son, S. and M. Wang, 2015, "Diffuse attenuation coefficient of the photosynthetically available radiation¬†Kd(PAR) for global open ocean and coastal waters",¬†Remote Sens. Environ., 159, 250-258 (2015).¬†doi:10.1016/j.rse.2014.12.011
    • Wang, M., W. Shi, L. Jiang, X. Liu, S. Son, and K. Voss, 2015, "Technique for monitoring performance of VIIRS reflective solar bands for ocean color data processing",¬†Opt. Express, 23, 14446-14460 (2015).¬†doi:10.1364/OE.23.014446
    • Xiong, X., J. Sun, J. Fulbright, Z. Wang, and J. Butler, 2015, "Lunar calibration and performance for S-NPP VIIRS reflective solar bands",¬†IEEE Trans. Geosci¬†.¬†Remote Sens., 54, 1052-1061 (2015).¬†doi:10.1109/TGRS.2015.2473665
    • Sun, J. and M. Wang, 2014, "Visible Infrared Imaging Radiometer Suite solar diffuser calibration and its challenges using solar diffuser stability monitor",¬†Appl. Opt .,¬†53, 8571-8584 (2014).¬†doi:10.1364/AO.53.008571
    • Mikelsons, K., M. Wang, L. Jiang, and M. Bouali, 2014, "Destriping algorithm for improved satellite-derived ocean color product imagery",¬†Opt¬†. Express, 22, 28058-28070 (2014).¬†doi:10.1364/OE.22.028058
    • Sun, J., M. Wang, L. Tan, and L. Jiang, 2014, "An efficient approach for VIIRS RDR to SDR data processing",¬†IEEE Geosci¬†. Remote Sens. Lett¬†., 11, 2037-2041 (2014).¬†doi:10.1109/LGRS.2014.2317553
    • Jiang, L. and M. Wang, 2014, "Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing",¬†Opt. Express, 22, 21657-21678 (2014).¬†doi:10.1364/OE.22.021657
    • Jiang, L. and M. Wang, 2013, "Identification of pixels with stray light and cloud shadow contaminations in the satellite ocean color data processing",¬†Appl. Opt., 52, 6757-6770 (2013).¬†doi:10.1364/AO.52.006757
    • Wang, M., X. Liu, L. Tan, L. Jiang, S. Son, W. Shi, K. Rausch, and K. Voss, 2013, "Impacts of VIIRS SDR performance on ocean color products",¬†J. Geophys¬†. Res. Atmos., 118, 10347-10360 (2013).¬†doi:10.1002/jgrd.50793

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