GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset in GDS2
(AHI_H08-STAR-L2P-v2.70)| Version | 2.70 |
| Processing Level | 2P |
| Start/Stop Date | 2019-Oct-16 to 2022-Dec-14 |
| Short Name | AHI_H08-STAR-L2P-v2.70 |
| Description | Himawari-8 (H08) was launched on 7 October 2014 into its nominal position at 140.7-deg E, and declared operational on 7 July 2015. The Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) is a 16 channel sensor, of which five (3.9, 8.4, 10.3, 11.2, and 12.3 um) are suitable for SST. Accurate sensor calibration, image navigation and (co)registration, high spectral fidelity, and sophisticated pre-processing (geo-rectification, radiance equalization, and mapping) offer vastly enhanced capabilities for SST retrievals, over the heritage GOES-I/P and MTSAT-2 Imagers. From altitude 35,800km, H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km at view zenith angle 67-deg, with a 10-min temporal sampling. The AHI L2P (swath) SST product is derived at the native sensor resolution using NOAA's Advanced Clear-Sky Processor for Ocean (ACSPO) system. ACSPO processes every 10-min FD data, identifies good quality ocean pixels (Petrenko et al., 2010) and derives SST using the four-band (8.4, 10.3, 11.2 and 12.3um) Non-Linear SST (NLSST) regression algorithm (Petrenko et al., 2014), trained against in situ SSTs from drifting and tropical mooring buoys in the NOAA iQuam system (Xu and Ignatov, 2014). The 10-min data are subsequently collated in time, to produce 1-hr L2P product, with improved coverage, and reduced cloud leakages and image noise. The collated L2P reports SSTs and brightness temperatures (BTs) in clear-sky water pixels (defined as ocean, sea, lake or river), and fill values elsewhere. All pixels with valid SSTs are recommended for use. ACSPO files also include sun-sensor geometry, l2p_flags (day/night, land, ice, twilight, and glint flags), and NCEP wind speed. The L2P is reported in NetCDF4 GHRSST Data Specification version 2 (GDS2) format, 24 granules per day, with a total data volume 0.6GB/day. 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). Per GDS2 specifications, two additional Sensor-Specific Error Statistics layers (SSES bias and standard deviation) are reported in each pixel (Petrenko et al., 2016). The H08 AHI SSTs and BTs are continuously validated against in situ data in SQUAM (Dash et al, 2010), and RTM simulation in MICROS (Liang and Ignatov, 2011). A reduced size (0.2GB/day), 0.02-deg equal-angle gridded ACSPO L3C product is available at https://podaac.jpl.nasa.gov/dataset/AHI_H08-STAR-L3C-v2.70. |
| DOI | 10.5067/GHH08-2PO27 |
| Measurement | OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE |
| Swath Width | 7 km |
| Platform/Sensor | Himawari-8 / Platform Name: (Himawari-8) Orbit Period: 1436.13 minutes Inclination Angle: 0.03 degrees AHI SENSOR Name: Advanced Himawari Imager (AHI) Swath Width: 500.0 kilometers Description: Spacecraft angular distance from orbital plane relative to the Equator. |
| Project | Group for High Resolution Sea Surface Temperature (GHRSST) |
| Data Provider | Publisher: PO.DAAC Creator: NOAA/NESDIS/STAR Release Place: 5200 Auth Rd, Camp Springs, MD, 20746 USA Release Date: 2020-May-21 Resource: https://www.star.nesdis.noaa.gov/star/index.php |
| Format | netCDF-4 |
| Keyword(s) | GHRSST, SST, H08, Himawari8, OSPO, STAR, v2.70, ACSPO |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 2000 Meters x 2000 Meters Temporal Resolution: 1 minute - < 1 hour Coverage Region: PACIFIC OCEAN North Bounding Coordinate: 59 degrees South Bounding Coordinate: -59 degrees West Bounding Coordinate: 80 degrees East Bounding Coordinate: -160 degrees Time Span: 2019-Oct-16 to 2022-Dec-14 Granule Time Span: 2019-Oct-16 to 2022-Dec-13Swath Width: 7 km Projection Projection Type: Satellite native view / two vertical cells blended Projection Detail: Geolocation information included for each pixel Ellipsoid: WGS 84 |
| DIRECT ACCESS | |
| Browse Granule Listing | |
| Search Granules | |
| DIRECT S3-ACCESS | |
| Available for access in-region with AWS Cloud | |
Region | |
| us-west-2 | |
| podaac-ops-cumulus-protected/AHI_H08-STAR-L2P-v2.70/ | |
| podaac-ops-cumulus-public/AHI_H08-STAR-L2P-v2.70/ | |
AWS S3 Credentials | |
| Get AWS S3 Credentials | Documentation | |
| Name | Long Name | Unit |
|---|---|---|
| brightness_temperature_08um6 | brightness temperature for 8.6 um channel | kelvin |
| brightness_temperature_10um4 | brightness temperature for 10.4 um channel | kelvin |
| brightness_temperature_11um2 | brightness temperature for 11.2 um channel | kelvin |
| brightness_temperature_12um3 | brightness temperature for 12.3 um channel | kelvin |
| dt_analysis | deviation from SST reference | kelvin |
| geostationary | geostationary | |
| l2p_flags | L2P flags | |
| ni | x coordinate of projection | radians |
| nj | y coordinate of projection | radians |
| quality_level | quality level of SST pixel | |
| satellite_zenith_angle | satellite zenith angle | degrees |
| sea_ice_fraction | sea ice fraction | 1 |
| sea_surface_temperature | sea surface sub-skin temperature | kelvin |
| sses_bias | SSES bias estimate | kelvin |
| sses_standard_deviation | SSES standard deviation | kelvin |
| sst_dtime | time difference from reference time | seconds |
| time | reference time of sst file | seconds since 1981-01-01 00:00:00 |
| wind_speed | wind speed | m s-1 |
| HOW-TO | |
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| GENERAL DOCUMENTATION | |
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| USER'S GUIDE | |
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| DATA RECIPE | |
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| DATA CITATION POLICY | |
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Citation is critically important for dataset documentation and discovery. Please cite the data as follows, and cite the reference papers when it is appropriate.
| Citation | NOAA/NESDIS/STAR. 2020. GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset in GDS2. Ver. 2.70. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHH08-2PO27
For more information see Data Citations and Acknowledgments.
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| Journal Reference | Gladkova, Irina, Alexander Ignatov, Fazlul Shahriar, Yury Kihai, Don Hillger, and Boris Petrenko. 2016. "Improved VIIRS and MODIS SST Imagery" Remote Sensing 8, no. 1: 79. https://doi.org/10.3390/rs8010079 Gladkova, I., A. Ignatov, F. Shahriar, Y. Kihai, D. Hillger, B. Petrenko. 2016. Improved VIIRS and MODIS SST Imagery, Remote Sensing, 8, 1. https://doi.org/10.3390/rs8010079 |
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