GHRSST NOAA/STAR ACSPO v2.80 0.02 degree L3S Dataset from mid-Morning LEO Satellites (GDS v2)
(L3S_LEO_AM-STAR-v2.80)| Version | 2.80 |
| Processing Level | 3 |
| Start/Stop Date | 2006-Dec-01 to Present |
| Short Name | L3S_LEO_AM-STAR-v2.80 |
| Description | NOAA STAR produces two lines of gridded 0.02 degree super-collated L3S LEO sub-skin Sea Surface Temperature (SST) datasets, one from the NOAA afternoon JPSS (L3S_LEO_PM) satellites and the other from the EUMETSAT mid-morning Metop (L3S_LEO_AM) satellites. The L3S_LEO_AM is derived from three Low Earth Orbiting (LEO) Metop-FG satellites: Metop-A, -B and -C . The Metop-FG satellite program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). The US National Oceanic and Atmospheric Administration (NOAA) under the joint NOAA/EUMETSAT Initial Joint Polar System Agreement, has contributed three Advanced Very High Resolution Radiometer (AVHRR) sensors capable of collecting and transmitting data in the Full Resolution Area Coverage (FRAC; 1km/nadir) format. The L3S_LEO_AM dataset is produced by aggregating three L3U datasets from MetOp-FG satellites (MetOp-A, -B and -C; all hosted in PO.DAAC) and covers from Dec 2006-present. The L3S_LEO_AM SST dataset is reported in two files per 24-hour interval, daytime and nighttime (nominal Metop local equator crossing times around 09:30/21:30, respectively), in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The Near Real Time (NRT) L3S-LEO data are archived at PO.DAAC with approximately 6 hours latency, and then replaced by the Re-ANalysis (RAN) files about 2 months later, with identical file names. The dataset is validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014), and monitored in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010). The L3S SST imagery and local coverage are continuously evaluated, and checked for consistency with other Level 2, 3 and 4 datasets in the ACSPO Regional Monitor for SST (ARMS) system. NOAA plans to include data from other mid-morning platforms and sensors, such as MetOp-SG METImage and Terra MODIS, into L3S_LEO_AM. More information about the dataset can be found under the Documentation and Citation tabs. |
| DOI | 10.5067/GHLAM-3SS28 |
| Measurement | OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE |
| Platform/Sensor | METOP-A / Platform Name: Meteorological Operational Satellite - A (METOP-A) AVHRR-3 SENSOR Name: Advanced Very High Resolution Radiometer-3 (AVHRR-3) METOP-B / Platform Name: Meteorological Operational Satellite - B (METOP-B) AVHRR-3 SENSOR Name: Advanced Very High Resolution Radiometer-3 (AVHRR-3) METOP-C / Platform Name: Meteorological Operational Satellite - C (METOP-C) AVHRR-3 SENSOR Name: Advanced Very High Resolution Radiometer-3 (AVHRR-3) |
| Data Provider | Publisher: PO.DAAC Creator: NOAA/STAR Release Date: 2021-May-28 |
| Format | netCDF-4 |
| Keyword(s) | GHRSST, SST, ACSPO, STAR, LEO, AM, v2.80, LEO_AM |
Questions related to this dataset? Contact podaac@podaac.jpl.nasa.gov
Resolution Spatial Resolution: 0.02 Decimal Degrees x 0.02 Decimal Degrees Temporal Resolution: Hourly - < Daily Coverage North Bounding Coordinate: 90 degrees South Bounding Coordinate: -90 degrees West Bounding Coordinate: -180 degrees East Bounding Coordinate: 180 degrees Time Span: 2006-Dec-01 to Present Projection Ellipsoid: WGS 84 |
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Region | |
| us-west-2 | |
| podaac-ops-cumulus-protected/L3S_LEO_AM-STAR-v2.80/ | |
| podaac-ops-cumulus-public/L3S_LEO_AM-STAR-v2.80/ | |
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| GENERAL DOCUMENTATION | |
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| READ-ME | |
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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/STAR. 2021. GHRSST NOAA/STAR ACSPO v2.80 0.02º L3S Dataset from mid-Morning LEO Satellites (GDS v2). Ver. v2.80. PO.DAAC, CA, USA. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/GHLAM-3SS28
For more information see Data Citations and Acknowledgments.
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| Journal Reference | O. Jonasson, I. Gladkova, A. Ignatov, Y. Kihai. 2021. Algorithmic improvements and consistency checks of the NOAA global gridded super-collated SSTs from low Earth orbiting satellites ACSPO L3S-LEO, SPIE Defense + Commercial Sensing 2021. https://doi.org/10.1117/12.2585819 O. Jonasson, I. Gladkova; A. Ignatov, Y. Kihai. 2020. Progress with development of global gridded super-collated SST products from low Earth orbiting satellites (L3S-LEO) at NOAA, SPIE Defense + Commercial Sensing 2020. https://doi.org/10.1117/12.2551819 I. Gladkova, A. Ignatov, Y. Kihai, M. Pennybacker. 2019. Towards high-resolution multi-sensor gridded ACSPO SST product: reducing residual cloud contamination, SPIE Defense + Commercial Sensing 2019. https://doi.org/10.1117/12.2518462 A. Ignatov, I. Gladkova, Y. Ding, F. Shahriar, Y. Kihai and X. Zhou. 2017. JPSS VIIRS level 3 uncollated SST product at NOAA, J. Appl. Remote Sens.. https://doi.org/10.1117/1.JRS.11.032405 |
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