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OAS accession Detail for 0283058
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Title: GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset (GDS version 2) for 2023-07-01 (NCEI Accession 0283058)
Abstract: The H09-AHI-L2P-ACSPO-v2.90 dataset contains the Subskin Sea Surface Temperature (SST) produced by the NOAA ACSPO system from the Advanced Himawari Imager (AHI; largely identical to GOES-R/ABI) onboard the Himawari-9 (H09) satellite. The H09 is a Japanese weather satellite, the 9th of the Himawari geostationary weather satellite operated by the Japan Meteorological Agency. It was launched on November 2, 2016 into its nominal position at 140.7-deg E, and declared operational on December 13, 2022, replacing the Himawari-8. The AHI is the primary instrument on the Himawari Series for imaging Earth’s weather, oceans, and environment with high temporal and spatial resolutions.

The H08/AHI maps SST in a Full Disk (FD) area from 80E-160W and 60S-60N, with spatial resolution 2km at nadir to 15km/VZA (view zenith angle) 67-deg, and 10-min temporal sampling. The 10-min FD data are subsequently collated in time, to produce the 1-hr product, with improved coverage and reduced cloud leakages and image noise. The L2P data is produced in GHRSST compliant netCDF4 GDS2 format, with 24 granules per day, and a total data volume 1.2 GB/day. The near-real time (NRT) data are updated hourly, with several hours latency. The NRT files are replaced with Delayed Mode (DM) files, with a latency of approximately 2-months. File names remain unchanged, and DM vs NRT can be identified by different time stamps and global attributes inside the files (MERRA instead of GFS for atmospheric profiles, and same day CMC L4 analyses in DM instead of one-day delayed in NRT processing).

Pixel earth locations are not reported in the granules, as they remain unchanged from granule to granule. Pixel locations can be obtained using a flat lat/lon file or a Python script available via Documents tab from the dataset landing page. Climate and Forecast (CF) metadata aware software (e.g., Panoply, xarray) can detect and map the data as is via the granule CF projection attributes and variables. The ACSPO H09 HAI SSTs are validated against quality controlled in situ data from the NOAA iQuam system (Xu and Ignatov, 2014) and continuously monitored in the NOAA SQUAM system (Dash et al, 2010). A 0.02-deg equal-angle gridded L3C product 0.7GB/day) is also available.
Date received: 20230921
Start date: 20230701
End date: 20230701
Seanames: Andaman Sea or Burma Sea, Arabian Sea, Bay of Bengal, Bering Sea, Bismarck Sea, Coral Sea, East China Sea (Tung Hai), East Indian Archipelago, Great Australian Bight, Gulf of Alaska, Gulf of Thailand, Indian Ocean, Inland Sea (Seto Naikai), Japan Sea, Malacca and Singapore Straits, North Pacific Ocean, Philippine Sea, Sea of Okhotsk, Solomon Sea, South China Sea (Nan Hai), Southern Ocean, South Pacific Ocean, Tasman Sea, Yellow Sea (Hwang Hai)
West boundary: 59.47843
East boundary: -138.0784
North boundary: 81.05099
South boundary: -81.05099
Observation types: satellite data
Instrument types: AHI
Datatypes: SEA SURFACE TEMPERATURE, WIND SPEED
Submitter: Armstrong, Edward M.
Submitting institution: US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center
Collecting institutions: US DOC; NOAA; NESDIS; Center for Satellite Applications and Research
Contributing projects: GHRSST
Platforms: Himawari-9 (pid: 13905)
Number of observations:
Supplementary information:
Availability date:
Metadata version: 1
Keydate: 2023-09-22 14:11:40+00
Editdate: 2023-09-22 14:14:10+00