ACSPO SST RAN
NOAA ACSPO Level 2P Global Sub-skin SST from AVHRR GAC
- Information
- Data Access
- Description
- Documentation
- Citation
Information
| Key | Description |
|---|---|
| DOI | 10.3390/rs6040315 |
| Short Name | AVHRR_GAC_RAN1_L2P |
| Sample Filename | 20100104050000-STAR-L2P_GHRSST-SSTsubskin-AVHRR19_G-ACSPO_V2.40-v02.0-fv01.0.nc |
| Dataset Type | Open |
| Measurement | Measurement Oceans > Sea Surface Temperature > Sub-skin SST |
| Processing Level | 2P |
| Spatial Coverage | Global 180W-180E 90N-90S |
| Temporal Coverage | 30 August 2002 to 31 December 2015 |
| Resolution | 4km @Nadir; ~30km @swath edge |
| Projection | Satellite native swath WGS84 |
| Latency | N/A |
| Swath Width | ~2,800 km |
| Sample Frequency | 2 scan lines per 1 second |
| Temporal Repeat | Twice Daily |
| Orbital Period | 101 Minutes |
| Platform/Sensor | Afternoon: NOAA-16 / AVHRR-3 (30 Aug 2002 06 Jun 2005) NOAA-18 / AVHRR-3 (07 Jun 2005 21 Feb 2009) NOAA-19 / AVHRR-3 (22 Feb 2009 31 Dec 2015) Mid-morning: NOAA-17 / AVHRR-3 (30 Aug 2002 22 Nov 2006) Metop-A / AVHRR-3 (23 Nov 2006 31 Dec 2015) |
| Data Provider | Creator: NOAA STAR Release Place: College Park, MD, USA Release Date: 2016-Apr-30 |
| Keywords | NOAA, AVHRR, reprocessing, RAN1, ACSPO, sea surface temperature, SST, L2P |
Data Access
Level-2 data is available through the following servers:
| Service | Resource Locator |
|---|---|
| FTP (anomymous) | ftp://ftp.star.nesdis.noaa.gov/pub/socd2/ coastwatch/sst/avhrr/ACSPO_RAN1/ |
| THREDDS | http://www.star.nesdis.noaa.gov/thredds/socd/ coastwatch/catalog_lom_SST_L2P.html |
Description
NOAA ACSPO Level 2P Global Sub-skin SST from AVHRR GAC
Reanalysis version 1 (RAN1)
This AVHRR/3 GAC L2P Reanalysis 1 (RAN1) SST dataset is produced at NOAA STAR using the ACSPO system, from 3 afternoon (NOAA-16, -18, -19) and 2 mid-morning satellites (NOAA-17, Metop-A; two satellites at a time). The data are reported in hourly granule files in GHRSST Data Specifications v2 (GDS2) format and cover a period from 30 Aug 2002 31 Dec 2015. Work is underway to extend the period covered by RAN using AVHRR-2 data, initially to 1994, and eventually to 1981.
ACSPO retrievals are made in full AVHRR swath (~2,800 km). For data assimilation applications (such as production of L4 analyses, especially for those blending satellite and in situ data), correction for the single scanner error statistics (SSES; reported in ACSPO files) biases is strongly recommended.
In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland; fill values are reported in "invalid" pixels, at >5km inland), the following layers are reported, among others: brightness temperatures in AVHRR bands 3 (centered at 3.7 µm), 4 (11 µm), and 5 (12 µm); SSTs derived from BTs using multi-channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014); and ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags) (Petrenko et al., 2010).
Only ACSM "confidently clear" pixels (equivalent to GDS2 "quality level"=5, also reported for each pixel) should be used. The ACSM also provides day/night, land, ice, twilight, and glint flags. Note that users of ACSPO data have the flexibility to ignore the ACSM, derive their own clear-sky mask, and use BTs and SSTs in those pixels. They may also ignore ACSPO SST, and derive their own SST from the original BTs.
RAN1 products are monitored and validated against in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al, 2010) and MICROS (Liang and Ignatov, 2011).
Documentation
Advanced Clear Sky Processor for Oceans (ACSPO): contains samples, Interface Control Document describing file contents, background ppt and other info. [ACSPO materials]
Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917, doi:10.1175/2010JTECHO756.1,[paper] [SQUAM website]
Liang, X. & A. Ignatov, 2011: Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS). JTech, 28, 1228-1242, doi:10.1175/JTECH-D-10-05023.1, [paper] [MICROS website]
Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1, [paper] [iQuam website]
Petrenko, B., A. Ignatov, Y. Kihai, J. Stroup, P. Dash, 2014: Evaluation and Selection of SST Regression Algorithms for JPSS VIIRS. JGR, 119, 4580-4599, doi:10.1002/2013JD020637, [paper]
Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623, doi:10.1175/2010JTECHA1413.1, [paper]
Petrenko, B., A. Ignatov, Y. Kihai, P. Dash, 2016: Sensor-Specific Error Statistics for SST in the Advanced Clear-Sky Processor for Oceans. JTech, 33, 345-359, doi:10.1175/JTECH-D-15-0166.1 [paper]
Citation
Ignatov, A., X. Zhou, B. Petrenko, X. Liang, Y. Kihai, P. Dash, J. Stroup, J. Sapper, & P. DiGiacomo, 2016: AVHRR GAC SST Reanalysis Version 1 (RAN1). Remote Sens., 8(4), 315, doi:10.3390/rs6040315, [paper]
