GHRSST NOAA/STAR GOES-19 ABI L2P America Region SST v3.0 dataset

The GOES-19 Advanced Baseline Imager (ABI) Level 2 Preprocessed (L2P) Sea Surface Temperature (SST) dataset, produced by the National Oceanic and Atmospheric Administration (NOAA), is used to observe sea surface temperature using satellite remote sensing measurements from the Advanced Baseline Imager (ABI) aboard the GOES-19 geostationary satellite. Originally launched as GOES-U on 25 June 2024 and renamed GOES-19 upon reaching geostationary orbit, the satellite operates at an altitude of approximately 35,800 km and provides continuous observations across the Full Disk domain spanning approximately 15°W–135°W and 60°S–60°N. The ABI instrument is a 16-band multispectral imager that provides enhanced SST retrieval capability through improved radiometric calibration, image navigation, co-registration accuracy, spectral fidelity, and advanced preprocessing. SST retrievals are natively provided every 10 minutes at approximately 2 km spatial resolution at nadir, degrading toward the edge of the viewing domain. This Level 2 Preprocessed SST product contains hourly collated sea surface temperature retrievals generated from 10-minute Full Disk ABI observations using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system with a Non-Linear Sea Surface Temperature (NLSST) algorithm. In addition to SST measurements, the dataset includes SST frontal positions and gradient magnitudes. Per-pixel Sensor-Specific Error Statistics (SSES) bias and standard deviation layers are also provided. The dataset is distributed as 24 hourly granules per day in netCDF4 format compliant with the GHRSST Data Specification Version 2 (GDS2), with an approximate daily volume of 0.6 GB. Users should note that geolocation coordinates are not stored within individual granules and must be obtained separately through companion navigation files or software utilities. A companion Level 3 Collated (L3C) gridded SST product at 0.02° spatial resolution is also available for users requiring reduced data volume and regularly gridded SST fields.