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 |
|---|---|---|---|
| View this dataset's how-to documentation | HTML | Example input file for python geolocation script | Open resource |
| View this dataset's how-to documentation | NetCDF | Geolocation file in netCDF | Open resource |
| View this dataset's user's guide | Documentation on the GDS version 2 format specification | Open resource | |
| Download this dataset through a directory map | HTML | HTTPS endpoint for data browse and download | Open resource |
| View documentation related to this dataset | HTML | GHRSST Global Data Assembly Center | Open resource |
| View this dataset's data recipes | HTML | Generic Data Readers | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| Get a related visualization | JPG | Thumbnail | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Browse granule search results in Earthdata Search | Open resource |
| View documentation related to this dataset | HTML | In situ SST Quality Monitor v2.10 | Open resource |
| View documentation related to this dataset | HTML | SST Quality Monitor 2.1 | Open resource |
| View documentation related to this dataset | HTML | GHRSST Project | Open resource |