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

(H09-AHI-L2P-ACSPO-v2.90)
Version2.90
Processing Level2P
Start/Stop Date2022-Oct-22 to Present
Short NameH09-AHI-L2P-ACSPO-v2.90
DescriptionThe 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
DOI10.5067/GHH09-2P290
MeasurementOCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE
Swath Width7000 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.

ProjectGroup for High Resolution Sea Surface Temperature (GHRSST)
Data ProviderPublisher: 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

FormatnetCDF-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-11
Swath Width: 7000 km
 
Projection
Projection Type: Satellite native view / two vertical cells blended
Projection Detail: Geolocation information included for each pixel
Ellipsoid: WGS 84
 
NameLong NameUnit
brightness_temperature_08um6brightness temperature for 8.6 um channelkelvin
brightness_temperature_10um4brightness temperature for 10.4 um channelkelvin
brightness_temperature_11um2brightness temperature for 11.2 um channelkelvin
brightness_temperature_12um3brightness temperature for 12.3 um channelkelvin
dt_analysisdeviation from SST referencekelvin
geostationarygeostationary projection
l2p_flagsL2P flags
nix coordinate of projectionradians
njy coordinate of projectionradians
quality_levelquality level of SST pixel
satellite_zenith_anglesatellite zenith angledegrees
sea_surface_temperaturesea surface sub-skin temperaturekelvin
sses_biasSSES bias estimatekelvin
sses_standard_deviationSSES standard deviationkelvin
sst_dtimetime difference from reference timeseconds
sst_front_positionBinary SST front position indicator
sst_gradient_magnitudeSST gradient magnitude valuekelvin/km
timereference time of sst fileseconds since 1981-01-01 00:00:00
wind_speedwind speedm s-1
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

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For more information see Data Citations and Acknowledgments.

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

VersionDatasetVersion DateStatus
2.90GHRSST L2P NOAA/ACSPO Himawari-09 AHI Pacific Ocean Region Sea Surface Temperature v2.90 dataset2021-07-22ACTIVE2021-07-22T00:34:00.000Z
2.70GHRSST NOAA/STAR Himawari-08 AHI L2P Pacific Ocean Region SST v2.70 dataset in GDS22021-07-22COMPLETE2021-07-22T00:34:00.000Z