N: 90 S: -90 E: 180 W: -180
Description
NOAA-20 (N20/JPSS-1/J1) is the second satellite in the US NOAA latest generation Joint Polar Satellite System (JPSS). N20 was launched on November 18, 2017. In conjunction with the first US satellite in JPSS series, Suomi National Polar-orbiting Partnership (S-NPP) satellite launched on October 28, 2011, N20 form the new NOAA polar constellation. NOAA is responsible for all JPSS products, including SST from the Visible Infrared Imaging Radiometer Suite (VIIRS). VIIRS is a whiskbroom scanning radiometer, which takes measurements in the cross-track direction within a field of view of 112.56-deg using 16 detectors and a double-sided mirror assembly. At a nominal altitude of 829 km, the swath width is 3,060 km, providing global daily coverage for both day and night passes. VIIRS has 22 spectral bands, covering the spectrum from 0.4-12 um, including 16 moderate resolution bands (M-bands). The L2P SST product is derived at the native sensor resolution (~0.75 km at nadir, ~1.5 km at swath edge) using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system, and reported in 10 minute granules in netCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). There are 144 granules per 24hr interval, with a total data volume of 27GB/day. In addition to pixel-level earth locations, Sun-sensor geometry, and ancillary data from the NCEP global weather forecast, ACSPO outputs include four brightness temperatures (BTs) in M12 (3.7um), M14 (8.6um), M15 (11um), and M16 (12um) bands, and two reflectances in M5 (0.67um) and M7 (0.87um) bands. The reflectances are used for cloud identification. Beginning with ACSPO v2.60, all BTs and reflectances are destriped (Bouali and Ignatov, 2014) and resampled (Gladkova et al., 2016), to minimize the effect of bow-tie distortions and deletions. SSTs are retrieved from destriped BTs. SSTs are derived from BTs using the Multi-Channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014). ACSPO clear-sky mask (ACSM) is provided in each pixel as part of variable l2p_flags, which also includes day/night, land, ice, twilight, and glint flags (Petrenko et al., 2010). Fill values are reported in all pixels with >5 km inland. For each valid water pixel (defined as ocean, sea, lake or river, and up to 5 km inland), four BTs in M12/14/15/16 (included for those users interested in direct "radiance assimilation", e.g., NOAA NCEP, NASA GMAO, ECMWF) and two refelctances in M5/7 are reported, along with derived SST. Other variables include NCEP wind speed and ACSPO SST minus reference SST (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0). Only ACSM confidently clear pixels are recommended (equivalent to GDS2 quality level=5). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel with QL=5. Note that users of ACSPO data have the flexibility to ignore the ACSM and derive their own clear-sky mask, and apply it to BTs and SSTs. They may also ignore ACSPO SSTs, and derive their own SSTs from the original BTs. The L2P product is monitored and validated against quality controlled in situ data provided by NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014), using another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010). Corresponding clear-sky BTs are validated against RTM simulation in the Monitoring IR Clear-sky Radiances over Ocean for SST system (MICROS; Liang and Ignatov, 2011). A reduced size (1GB/day), equal-angle gridded (0.02-deg), ACSPO L3U product is also available at https://podaac.jpl.nasa.gov/dataset/VIIRS_N20-OSPO-L3U-v2.61, where gridded L2P SSTs with QL=5 only are reported, and BT layers omitted.
Product Summary
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Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| brightness_temperature_08um6 | non L2P core field; brightness temperature for 8.6 um channel VIIRS Ch. M14 | kelvin | short | -32768 | -32767 to 32767 | 0.01 | 273.15 |
| brightness_temperature_4um | non L2P core field; brightness temperature for 3.7 um channel VIIRS M12 | kelvin | short | -32768 | -32767 to 32767 | 0.01 | 273.15 |
| brightness_temperature_11um | non L2P core field; brightness temperature for 10.8 um channel VIIRS M15 | kelvin | short | -32768 | -32767 to 32767 | 0.01 | 273.15 |
| brightness_temperature_12um | non L2P core field; brightness temperature for 12.0 um channel VIIRS M16 | kelvin | short | -32768 | -32767 to 32767 | 0.01 | 273.15 |
| dt_analysis | Deviation from reference SST, i.e., dt_analysis = SST - reference SST | kelvin | byte | -128 | -127 to 127 | 0.1 | N/A |
| l2p_flags | L2P common flags in bits 1-6 and data provider flags (from ACSPO mask) in bits 9-16: bit01 (0=IR: 1=microwave); bit02 (0=ocean; 1=land); bit03 (0=no ice; 1=ice); bits04-08 (reserved,set to 0); bit09 (0=radiance valid; 1=invalid); bit10 (0=night; 1=day); bit11 (0=ocean; 1=land); bit12 (0=good quality data; 1=degraded quality data due to "twilight" region); bit13 (0=no glint; 1=glint); bit14 (0=no snow/ice; 1=snow/ice); bits15-16 (00=clear; 01=probably clear; 10=cloudy; 11=clear-sky mask undefined) | N/A | short | N/A | -32768 to 32767 | 1 | N/A |
| lat | Latitude of retrievals | degrees_north | float | N/A | -90 to 90 | 1 | N/A |
| lon | Longitude of retrievals | degrees_east | float | N/A | -180 to 180 | 1 | N/A |
| quality_level | SST quality levels: 5 corresponds to clear-sky pixels and is recommended for operational applications and validation; | N/A | byte | -128 | 0 to 5 | 1 | N/A |
| satellite_zenith_angle | satellite zenith angle | degrees | byte | -128 | -127 to 127 | 1 | N/A |
| sea_ice_fraction | Fractional sea ice cover from reference SST | 1 | byte | -128 | 0 to 100 | 0.01 | N/A |
| sea_surface_temperature | SST obtained by regression with buoy measurements, sensitive to skin SST. Further information at (Petrenko et al., JGR, 2014; doi:10.1002/2013JD020637) | kelvin | short | -32768 | -32767 to 32767 | 0.01 | 273.15 |
| sses_bias | Bias is derived against Piecewise Regression SST produced by local regressions with buoys. Subtracting sses_bias from sea_surface_temperature producess more accurate SST at the depth of buoys Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1) | kelvin | byte | -128 | -127 to 127 | 0.016 | N/A |
| sses_standard_deviation | Standard deviation of sea_surface_temperature from SST measured by drifting buoys. Further information at (Petrenko et al., JTECH, 2016; doi:10.1175/JTECH-D-15-0166.1) | kelvin | byte | -128 | -127 to 127 | 0.01 | 1 |
| sst_dtime | time plus sst_dtime gives seconds since 1981-01-01 00:00:00 UTC | seconds | short | -32768 | -32767 to 32767 | 0.25 | N/A |
| time | seconds since 1981-01-01 00:00:00 | seconds since 1981-01-01 00:00:00 | int | N/A | N/A | 1 | N/A |
| wind_speed | Typically represents surface winds (10 meters above the sea surface) | m s-1 | byte | -128 | -127 to 127 | 0.15 | N/A |