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6 results for “GOES-17”
SatCORPS CERES GEO Edition 4 GOES-17 Northern Hemisphere Version 1.2
CER_GEO_Ed4_GOE17_NH_V01.2 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 17 (GOES-17) over the Northern Hemisphere (NH) Version 1.2 data product. Data was collected using the Advanced Baseline Imager on the GOES-17 Platform. Note: Version 1.2 is identical to version 1.0. No changes have been made to the retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-17 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).
GHRSST NOAA/STAR GOES-17 ABI L3C America Region SST v2.71 dataset in GDS2
The ACSPO G17/ABI L3C (Level 3 Collated) product is a gridded version of the ACSPO G17/ABI L2P product available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L2P-v2.71. The L3C output files are 1hr granules in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). Due to the loop heat pipe (LHP) issue on G17 ABI, there are only 13 granules available per 24hr interval, from 20UTC to 08UTC, followed by a break from 09UTC to 19UTC, with a total data volume of 0.1GB/day. Valid SSTs are found over oceans, sea, lakes or rivers, with fill values reported elsewhere. The following additional layers are also reported: SST, ACSPO clear-sky mask (ACSM; provided in each grid as part of l2p_flags, which also includes day/night, land, ice, twilight, and glint flags), NCEP wind speed and ACSPO SST minus reference (Canadian Met Centre 0.1deg L4 SST; available at https://podaac.jpl.nasa.gov/dataset/CMC0.1deg-CMC-L4-GLOB-v3.0 ). All valid SSTs in L3C are recommended for users, although data over internal waters may not have enough in situ data to be adequately validated. Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (bias and standard deviation) are reported in each pixel with valid SST. The ACSPO VIIRS L3U product is monitored and validated against iQuam in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010).
SatCORPS CERES GEO Edition 4 GOES-17 Southern Hemisphere Version 1.2
CER_GEO_Ed4_GOE17_SH_V01.2 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 17 (GOES-17) over the Southern Hemisphere (SH) Version 1.2 data product. Data was collected using the Advanced Baseline Imager on the GOES-17 Platform. Note: Version 1.2 is identical to version 1.0. No changes have been made to the retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-17 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).
GHRSST NOAA/STAR GOES-17 ABI L2P America Region SST v2.71 dataset in GDS2
GOES-17 (G17) is the second satellite in the US NOAA's GOES-R series. It was launched on 1 Mar 2018 in an interim position at 89.5-deg W for initial Cal/Val, moved to its nominal position at 137.2-deg W in Nov 2018, and declared NOAA operational GOES-West satellite on 12 Feb 2019. Advanced Baseline Imager (ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, 12.3 um) are suitable for SST. From altitude 35,800km, G17/ABI maps SST in a Full Disk (FD) area from 163E-77W and 60S-60N, with spatial resolution 2km/nadir to 15km/VZA 67-deg, and 10-min temporal sampling. The ABI L2P SST is derived at the native sensor resolution using NOAA ACSPO system. ACSPO processes every 10-min FD, identifies good-quality ocean pixels (Petrenko et al., 2010) and derives SST using Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014). Unfortunately, the G17 ABI loop heat pipe (LHP) that should maintain the ABI at its intended temperature, is not operating at its designed capacity, which required mitigations to the ACSPO algorithms and releasing an updated ACSPO version 2.71 (Pennybacker et al, 2019). In particular, band 11.2um, most subject to calibration problems, is not used leading to a 3-band (8.4, 10.3, and 12.3um) NLSST, and increased calibration problems prevent SST retrievals at night. As a result, the G17 SST is only reported for 13 out of 24hrs/day, from 20UTC to 08UTC. The 10-min FD data are subsequently collated in time, to produce 1-hr product, with improved coverage and reduced cloud leakages and image noise. The collation algorithm also reduces G17 excessive sensor noise and striping to levels similar to G16. The collated SSTs are only reported over clear-sky water pixels. All pixels with valid SSTs are recommended for use. The L2P is reported in NetCDF4 GDS2 format, 13 granules per day, with a total data volume 0.3GB/day. ACSPO files also report sun-sensor geometry, wind speed and l2p_flags (day/night, land, ice, twilight, glint flags). Per GDS2 specifications, two Sensor-Specific Error Statistics (bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Those can be obtained using a flat lat/lon file or a Python script (see Documentation page). The ACSPO G17 ABI SSTs are continuously validated in SQUAM (Dash et al, 2010). A reduced size (0.1GB/day), 0.02-deg equal-angle gridded L3C product is available at https://podaac.jpl.nasa.gov/dataset/ABI_G17-STAR-L3C-v2.71.
SatCORPS CERES GEO Edition 4 GOES-17 Northern Hemisphere Version 1.4
CER_GEO_Ed4_GOE17_NH_V01.4 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 17 (GOES-17) over the Northern Hemisphere (NH) Version 1.4 data product. Data was collected using the Advanced Baseline Imager (ABI) on the GOES-17 Platform.Note: Version 1.4 uses the Global Modeling and Assimilation Office (GMAO) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis for atmospheric input; Version 1.2 used GMAO's GEOS-5.4.1. No changes have been made to the cloud retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-17 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).
SatCORPS CERES GEO Edition 4 GOES-17 Southern Hemisphere Version 1.4
CER_GEO_Ed4_GOE17_SH_V01.4 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 17 (GOES-17) over the Southern Hemisphere (SH) Version 1.4 data product. Data was collected using the Advanced Baseline Imager on the GOES-17 Platform.Note: Version 1.4 uses the Global Modeling and Assimilation Office (GMAO) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis for atmospheric input; Version 1.2 used GMAO's GEOS-5.4.1. No changes have been made to the cloud retrieval algorithm.This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-17 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).
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