GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset
(H09-AHI-L2P-ACSPO-v2.90)Version | 2.90 |
Processing Level | 2P |
Start/Stop Date | 2022-Oct-22 to Present |
Short Name | H09-AHI-L2P-ACSPO-v2.90 |
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 |
DOI | 10.5067/GHH09-2P290 |
Measurement | OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE |
Swath Width | 7000 km |
Platform/Sensor | Himawari-9 / Platform Name: (Himawari-9) Inclination Angle: 0.03 degrees AHI SENSOR Name: Advanced Himawari Imager (AHI) Swath Width: 7000.0 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: 2023-Aug-08 Resource: https://www.star.nesdis.noaa.gov/star/index.php |
Format | netCDF-4 |
Keyword(s) | GHRSST, SST, H09, Himawari-9, OSPO, STAR, v2.90, ACSPO, JMA |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 2000 Meters x 2000 Meters Temporal Resolution: Hourly - < Daily Coverage Region: PACIFIC OCEAN Region: PACIFIC OCEAN North Bounding Coordinate: 60 degrees South Bounding Coordinate: -60 degrees West Bounding Coordinate: 80 degrees East Bounding Coordinate: -160 degrees Time Span: 2022-Oct-22 to Present Granule Time Span: 2022-Oct-22 to 2025-Oct-11Swath Width: 7000 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/H09-AHI-L2P-ACSPO-v2.90/ | |
podaac-ops-cumulus-public/H09-AHI-L2P-ACSPO-v2.90/ | |
AWS S3 Credentials | |
Get AWS S3 Credentials | Documentation |
Name | Long Name | Unit |
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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 projection | |
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_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 |
sst_front_position | Binary SST front position indicator | |
sst_gradient_magnitude | SST gradient magnitude value | kelvin/km |
time | reference time of sst file | seconds since 1981-01-01 00:00:00 |
wind_speed | wind speed | m s-1 |
DATA CITATION GUIDELINES | |
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GENERAL DOCUMENTATION | |
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USER'S GUIDE | |
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DATA RECIPE | |
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HOW-TO | |
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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. 2023. GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset
. Ver. 2.90. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHH09-2P290
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 |
Version | Dataset | Version Date | Status | |
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2.90 | GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset | 2021-07-22 | ACTIVE | 2021-07-22T00:34:00.000Z |
2.70 | GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset in GDS2 | 2021-07-22 | COMPLETE | 2021-07-22T00:34:00.000Z |