GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset

Description

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 available at https://podaac.jpl.nasa.gov/dataset/H09-AHI-L3C-ACSPO-v2.90

Resources

Name Format Description Link
21 GHRSST Project http://www.ghrsst.org
33 Documentation on the GDS version 2 format specification https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/ghrsst/open/docs/GDS20r5.pdf
21 SST Quality Monitor 2.1 https://www.star.nesdis.noaa.gov/sod/sst/squam/
21 Generic Data Readers https://github.com/podaac/data-readers
21 GHRSST Global Data Assembly Center https://ghrsst.jpl.nasa.gov
22 Thumbnail https://podaac.jpl.nasa.gov/Podaac/thumbnails/AHI_H08-STAR-L2P-v2.70.jpg
21 Example input file for python geolocation script https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/ghrsst/open/data/GDS2/L2P/H09/STAR/docs/geo_nav.py
21 Data Use and Citation Policy https://podaac.jpl.nasa.gov/CitingPODAAC
21 HTTPS endpoint for data browse and download https://cmr.earthdata.nasa.gov/virtual-directory/collections/C2744808497-POCLOUD
32 Geolocation file in netCDF https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/ghrsst/open/data/GDS2/L2P/H09/STAR/docs/H09_140_7_E.nc
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FGHH09-2P290%0D%0A
21 In situ SST Quality Monitor v2.10 https://www.star.nesdis.noaa.gov/sod/sst/iquam/
21 Browse granule search results in Earthdata Search https://search.earthdata.nasa.gov/search/granules?p=C2744808497-POCLOUD

Tags

  • oceans
  • ocean-temperature
  • earth-science

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