N: 15 S: -45 E: -15 W: -70
Description
A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature (SST) analysis produced daily on an operational basis by the Oceanographic Modeling and Observation Network (REMO) at Applied Meteorology Laboratory/Federal University of Rio de Janeiro (LMA/UFRJ) using the Barnes sub optimal interpolation (OI) technique on a regional 0.05 degree grid. REMO uses Advanced Very High Resolution Radiometer (AVHRR) data from National Oceanic and Atmospheric Administration (NOAA) satellites series (NOAA 15, NOAA 16, NOAA 17, NOAA 18 and NOAA 19) and Microwave Imager (TMI) data from Tropical Rainfall Measuring Mission (TRMM) which is a joint mission between NASA and the Japan Aerospace Exploration Agency (JAXA) to generate 0.05 degree daily cloud free blended (infrared and microwave) SST products (approximately 5.5 km). The data lies between latitudes 45 S and 15 N and longitudes 70 W and 15 W region and are fully validated by in situ measurements from eleven buoys of Prediction and Research Moored Array in the Tropical Atlantic (PIRATA).AVHRR is a scanning radiometer capable of detecting energy from land, ocean and atmosphere. It operates with six spectral bands arranged in the regions of visible and infrared region. TRMM was launched in December, 1997, having an orbital inclination of 53 degree and altitude 350 km, an equatorial orbit that ranges from 40 N to 40 S and a spatial resolution of 0.25 degree (∼27.75 km). Although infrared AVHRR SST data have high spatial resolution, they are contaminated by cloud cover and aerosols, while lower resolution microvwave TMI data are barely influenced by these.
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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 |
|---|---|---|---|---|---|---|
| analysed_sst | LMA foundation SST | kelvin | short | -32768 | -300 to 4500 | 0.01 |
| analysis_error | LMA foundation SST analysis standard deviation error | kelvin | short | -32768 | 0 to 32767 | 0.01 |
| lat | Latitude geographical coordinates,WGS84 projection | degrees_north | float | N/A | -45 to 15 | 1 |
| lon | Longitude geographical coordinates,WGS84 projection | degrees_east | float | N/A | -70 to -15 | 1 |
| mask | Land/ open ocean/ sea ice /lake mask | N/A | byte | -128 | 1 to 31 | 1 |
| sea_ice_fraction | Fractional sea ice cover from NCEP GFS estimate | fraction | byte | -32768 | 0 to 100 | 0.01 |
| time | time in seconds since 1981-01-01 00:00:00 | seconds since 1981-01-01 00:00:00 | int | N/A | N/A | 1 |