ACSPO

The ACSPO NPP/N20/N21 VIIRS RAN3 data set is provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

24+ hours (Delayed)

Latency Details

NRT: <6 hours
RAN: 8 weeks

Spatial Resolution Groups

100m < 2km

2km+

Spatial Resolution Details

L2P: 0.75km @ Nadir; ~1.5km @ swath edge
L3U: 0.02°

Platforms

NOAA

SNPP

Instruments

VIIRS

Processing Algorithms

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/npp/l2p

Data Providers

NOAA

NESDIS

STAR

Data Tool Links

Near Real-Time (NRT) [14 Day Rotated Buffer]

NPP + N20 + N21 L2P:

CoastWatch Data Search

Sample Filenames

L2P: 20120301001000-STAR-L2P_GHRSST-SSTsubskin-VIIRS_NPP-ACSPO_V2.80-v02.0-fv01.0.nc
L3U: 20120301001000-STAR-L3U_GHRSST-SSTsubskin-VIIRS_NPP-ACSPO_V2.80-v02.0-fv01.0.nc

HTTPS

Near Real-Time (NRT) [14 Day Rotated Buffer]

NPP L2P:

N20 L2P:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/n20/l2p

N21 L2P:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/n21/l2p

NPP L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/npp/l3u

N20 L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/n20/l3u

N21 L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/viirs/n21/l3u

Reanalysis Version 3 (RAN3) [Scientific Quality. New data Is added in Delayed Mode (DM)]

NPP L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/ran/viirs/npp/l3u

N20 L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/ran/viirs/n20/l3u

N20 L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/ran/viirs/n21/l3u

*NRT - Near-Real Time data (1-3 hour latency).
*DM - Delayed mode "scientific quality" SST. Produced on a 8-week delay.
*RAN2 - Reanalysis-2 of VIIRS SST (NPP: Feb'2012-Apr'2019; N20: Jan'2018-Apr'2019). Produced using ACSPO V2.61.
*RAN3 - Reanalysis-3 of VIIRS SST (NPP: Feb'2012-Dec'2021; N20: Jan'2018-Dec'2021). Produced using ACSPO V2.80.
NPP - Suomi NPP satellite platform
N20 - NOAA-20 satellite platform
N21 - NOAA-21 satellite platform

THREDDS

Near Real-Time (NRT) [14 Day Rotated Buffer]

NPP L2P:

https://coastwatch.noaa.gov/thredds/catalog/swathNPPVIIRSNRTL2PWW00/catalog.html

N20 L2P:

https://coastwatch.noaa.gov/thredds/catalog/swathN20VIIRSNRTL2PWW00/catalog.html

N21 L2P:

https://coastwatch.noaa.gov/thredds/catalog/swathN21VIIRSNRTL2PWW00/catalog.html

NPP L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridNPPVIIRSNRTL3UWW00/catalog.html

N20 L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridN20VIIRSNRTL3UWW00/catalog.html

N21 L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridN21VIIRSNRTL3UWW00/catalog.html

Reanalysis Version 3 (RAN3) [Scientific Quality. New data is added in Delayed Mode (DM)]

NPP L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridNPPVIIRSSCIENCEL3UWW00/catalog.html

N20 L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridN20VIIRSSCIENCEL3UWW00/catalog.html

N21 L3U:

https://coastwatch.noaa.gov/thredds/catalog/gridN21VIIRSSCIENCEL3UWW00/catalog.html

PO.DAAC Archive

Reanalysis / Reprocessed (RAN3)* [New data is added in NRT* and overwritten by DM* data with a 8 week delay]

NPP L2P: 10.5067/GHVRS-2PO28

N20 L2P: 10.5067/GHV20-2PO28

N21 L2P: 10.5067/GHN21-2P280

NPP L3U: 10.5067/GHVRS-3UO28

N20 L3U: 10.5067/GHV20-3UO28

N21 L3U: 10.5067/GHN21-3U280

NCEI Archive

Reanalysis / Reprocessed (RAN2)* [New data is added in NRT]

NPP L2P: 10.7289/v5pr7sx5

N20 L2P: 10.25921/sfs7-9688

N21 L2P: 10.25921/5mbf-ma56

NPP L3U: 10.7289/v5kk98s8

N20 L3U: 10.25921/7c1m-rw73

N21 L3U: 10.25921/xkhb-5e96

ACSPO Global SST from MODIS

jebidiah.jeffery — Thu, 17 Mar 2022 15:23:08 +0000

ACSPO Global SST from MODIS

The ACSPO MODIS SST data are produced from Terra and Aqua satellites using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) enterprise system (Ignatov et al., 2016). Complete archive of ACSPO MODIS SST data is available for both the Terra (24 Feb 2000 - present) and Aqua (4 July 2002 - present) missions in 0.02° L3C (level 3 collated) format. New data is added in delayed mode (DM) with a 2-month latency. The last orbital maintenance maneuvers for Aqua and Terra were performed on 27 Feb 2020 (Terra) and 18 Mar 2021 (Aqua) and their orbit has been drifting ever since. We do not recommend usage of ACSPO MODIS SST dated a year or later after each satellites' last orbital maintenance maneuver. For more recent SST data from low earth orbit satellites, we recommend the ACSPO VIIRS and AVHRR FRAC datasets.

jebidiah.jeffery Thu, 03/17/2022 - 11:23

The MODIS SST data are produced from Terra and Aqua satellites using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) enterprise system (Ignatov et al., 2016). Complete archive of ACSPO MODIS SST data is available for the entire Terra (24 Feb 2000-present) and Aqua (4 July 2002-present) missions in L3C (level 3 collated; 0.02°) format. New data is added in delayed mode (DM) with a 2-month latency. The last orbital maintenance maneuvers for Aqua and Terra were performed on 27 Feb 2020 (Terra) and 18 Mar 2021 (Aqua) and their orbit has been drifting ever since. We do not recommend usage of ACSPO MODIS SST dated a year or later after each satellites' last orbital maintenance maneuver. For more recent SST data fromlow earth orbit satellites, we recommend the ACSPO VIIRS and AVHRR FRAC datasets.

The data are reported daily, separated into daytime and nighttime viewing conditions (two files per 24hr) in GHRSST Data Specifications v2 (GDS2) format, in 0.02° gridded L3C (C=collated), 2 files per day, with a total data volume of 0.4 GB/day.

ACSPO retrievals are made in full MODIS swath (~2,300 km). For data assimilation applications (such as production of L4 analyses, especially those that blend satellite and in situ data), correction for the Sensor-Specific Error Statistics (SSES; reported in ACSPO files; Petrenko et al., 2016) biases is strongly recommended.

The following layers are reported in L3C files: SSTs derived using the Non-Linear SST (NLSST) algorithm (Petrenko et al., 2014); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); MERRA2 wind speed; and ACSPO SST minus reference (Canadian Met Centre L4 SST). 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.

MODIS SST is monitored and validated against in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al., 2010) and ARMS (Ding et al., 2017) systems, and BTs are monitored in MICROS (Liang and Ignatov, 2011).

Short Names

ACSPO_MODIS_RAN_L3C

Temporal Start Date

February 24, 2000

Temporal Coverage

24 Feb 2000-present (Terra)
4 July 2002-present (Aqua)

Product Families

Sea Surface Temperature

Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917, doi:10.1175/2010JTECHO756.1, www.star.nesdis.noaa.gov/sod/sst/squam/
Ding, Y., A. Ignatov, I. Gladkova, M. Crosberg, and C. Chu, 2017: ACSPO Regional Monitor for SST (ARMS). BoM - NOAA SST Workshop, 18-21 April 2017, Melbourne, Australia (presentation), www.star.nesdis.noaa.gov/sod/sst/arms/
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, www.star.nesdis.noaa.gov/sod/sst/micros/
Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1, www.star.nesdis.noaa.gov/sod/sst/iquam/
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
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
Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623, doi:10.1175/2010JTECHA1413.1

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 3

Spatial Coverage

The ACSPO MODIS SST data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

24+ hours (Delayed)

Latency Details

2 months

Spatial Resolution Groups

2km+

Spatial Resolution Details

L3C: 0.02°

Platforms

Aqua

Terra

Instruments

MODIS

Processing Algorithms

https://coastwatch.noaa.gov/pub/socd2/coastwatch/sst/ran/modis/

Data Providers

NOAA

NESDIS

STAR

Sample Filenames

Terra L3C (night): 20120721120000-STAR-L3C_GHRSST-SSTsubskin-MODIS_T_N-ACSPO_V2.80-v02.0-fv01.0.nc
Terra L3C (day): 20120721120000-STAR-L3C_GHRSST-SSTsubskin-MODIS_T_D-ACSPO_V2.80-v02.0-fv01.0.nc

Aqua L3C (night): 20120721120000-STAR-L3C_GHRSST-SSTsubskin-MODIS_A_N-ACSPO_V2.80-v02.0-fv01.0nc
Aqua L3C (day): 20120721120000-STAR-L3C_GHRSST-SSTsubskin-MODIS_A_D-ACSPO_V2.80-v02.0-fv01.0.nc

HTTPS

Reanalysis / Reprocessed (RAN) [New data is added in delayed mode (DM) with a 2 month delay]

L3C:

THREDDS

Reanalysis / Reprocessed (RAN) [New data is added in delayed mode (DM) with a 2 month delay]

L3C:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/acspo/catalog_sst_acspo_modis_ran.html

ACSPO Global SST from AVHRR GAC

jebidiah.jeffery — Thu, 17 Mar 2022 15:22:16 +0000

ACSPO Global SST from AVHRR GAC

AVHRR GAC Reanalysis 2 (RAN2) dataset is an improved and extended version of AVHRR GAC RAN1 (Ignatov et al., 2016). RAN2 is produced from 5 AVHRR/2s (onboard N07/09/11/12/14) and 5 AVHRR/3s (N15/16/17/18/19) using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) enterprise system v2.81. At the time of release, it covers from 1 Sep 1981 to 31 Dec 2021 and will be periodically extended as new L1b data from N15/18/19 arrive. Out of ten satellites, seven (N07/09/11/14/16/18/19) were initially launched into afternoon orbits (1:30pm/am), two (N12/15) into early-morning orbits (7:30pm/am), and one (N17) into mid-morning orbit (10am/pm). All NOAA orbits are not controlled and evolve in time. The RAN2 dataset is documented in (Petrenko et al. 2020 and 2021; Pryamitsyn et al. 2020)

jebidiah.jeffery Thu, 03/17/2022 - 11:22

AVHRR FRAC onboard three Metop-First Generation (FG) satellites have been processed separately. AVHRR FRAC RAN1 dataset is available at ACSPO Global SST from AVHRR FRAC.

The data are reported in GHRSST Data Specifications v2 (GDS2) format, in three projections: swath (L2P), 0.02° gridded L3U (U=uncollated) and 0.02° gridded L3C (C=collated). L2P and L3U products are aggregated into 10min granules, 144 per day, with a total daily data volumes of 0.27GB/L2P and 0.32GB/L3U. L3C product contains two collated files per day, daily volume of 0.3GB/day, : one file for the daytime SST and one for the nighttime SST. ACSPO retrievals are made in full AVHRR swath (~2,800 km). For data assimilation applications (such as production of L4 analyses, especially those blending satellite and in situ data), subtraction of the Sensor-Specific Error Statistics (SSES; Petrenko et al., 2016) biases reported in ACSPO files, is recommended.

In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland), the following layers are reported in both L2P and L3U: SSTs derived using Non-Linear SST (NLSST) algorithms (Petrenko et al., 2020); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); MERRA-2 wind speed; and ACSPO SST minus reference SST (ESA CCI L4 SST from 1 Sep 1981 - 31 Aug 1991; switched to CMC L4 SST from 1 Sep 1991 to present time). In "invalid" pixels (defined as those with >5km inland), fill values are reported.

All L2P, L3U and L3C SSTs are monitored and validated against in situ data iQuam (Xu and Ignatov, 2014) in SQUAM (Dash et al., 2010), and BTs are monitored in MICROS (Liang and Ignatov, 2011). The AVHRR sensors calibration and characterization, and orbital stability of NOAA satellites, are monitored in the NOAA 3S system (He et al., 2016)

Short Names

L2P: ACSPO AVHRR GAC RAN2 L2P

L3U: ACSPO AVHRR GAC RAN2 L3U

Temporal Start Date

September 1, 1981

Product Families

Sea Surface Temperature

Algorithms and Evaluation

Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623, doi:10.1175/2010JTECHA1413.1

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

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

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

Petrenko B., V. Pryamitsyn, , A. Ignatov, & Y. Kihai, 2020: SST and cloud mask algorithms in reprocessing 1981-2002 NOAA AVHRR data for SST with the Advanced Clear-Sky Processor for Oceans (ACSPO). SPIE Defense + Commercial Sensing, 11420, SI, www.spiedigitallibrary.org,

Pryamitsyn, V., A. Ignatov, B. Petrenko, O. Jonasson & Y. Kihai, 2020: Evaluation of the initial NOAA AVHRR GAC SST reanalysis version 2 (RAN2 B01). SPIE Defense + Commercial Sensing, 11420I, https://doi.org/10.1117/12.2558660,

Petrenko, B.; Pryamitsyn, V.; Ignatov, A. 2021;Filtering cold outliers in SSTs retrieved from early AVHRRs for the second AVHRR GAC reanalysis. SPIE Defense + Commercial Sensing , 11752, https://doi.org/10.1117/12.2585908

Petrenko B, Pryamitsyn V, Ignatov A, Jonasson O, Kihai Y. 2022; AVHRR GAC Sea Surface Temperature Reanalysis Version 2, Remote Sens. 14(13):3165. https://doi.org/10.3390/rs14133165

Monitoring

Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917, doi:10.1175/2010JTECHO756.1, www.star.nesdis.noaa.gov/sod/sst/squam/

Ding, Y., A. Ignatov, I. Gladkova, M. Crosberg, and C. Chu, 2017: ACSPO Regional Monitor for SST (ARMS). BoM - NOAA SST Workshop, 18-21 April 2017, Melbourne, Australia (presentation), www.star.nesdis.noaa.gov/sod/sst/arms/

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, www.star.nesdis.noaa.gov/sod/sst/micros/

Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1, www.star.nesdis.noaa.gov/sod/sst/iquam/ He, K.; Ignatov, A.; Kihai, Y.; Cao, C.Y.; Stroup, J. 2016; Analyzing Avhrr Thermal Calibration Using Sensor Stability for Sst (3s) System. 2016 Ieee International Geoscience and Remote Sensing Symposium (Igarss) , 1950-1953, https://doi.org/10.1109/Igarss.2016.7729502

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 2

Level 3

Spatial Coverage

Petrenko B, Pryamitsyn V, Ignatov A, Jonasson O, Kihai Y. 2022; AVHRR GAC Sea Surface Temperature Reanalysis Version 2, Remote Sens. 14(13):3165. https://doi.org/10.3390/rs14133165 (link is external)

The ACSPO AVHRR GAC RAN data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

~2 to 6 hours latency

Spatial Resolution Groups

2km+

Spatial Resolution Details

L2P: 4km @Nadir; ~25km @swath edge
L3U: 0.02°

Platforms

NOAA

Instruments

AVHRR

Processing Algorithms

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/ran/avhrr_gac/

Data Providers

NOAA

NESDIS

STAR

Sample Filenames

19810901000000-STAR-L2P_GHRSST-SSTsubskin-AVHRRG_N07-ACSPO_V2.81-v02.0-fv01.0.nc
19810904000000-STAR-L3U_GHRSST-SSTsubskin-AVHRRG_N07-ACSPO_V2.81-v02.0-fv01.0.nc

HTTPS

L2P + L3U + L3C:

THREDDS

L2P + L3U + L3C:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/acspo/catalog_sst_acspo_gac_ran.html

ACSPO Global SST from AVHRR FRAC

jebidiah.jeffery — Thu, 17 Mar 2022 15:21:57 +0000

ACSPO Global SST from AVHRR FRAC

The AVHRR FRAC SST data are produced from AVHRR/3s onboard Metop-A, -B and -C satellites using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.80 enterprise system, described in (Ignatov et al., 2016). Currently, near-real time (NRT) L2P and 0.02° L3U (gridded uncollated) data for Metop-A, -B and -C is produced at STAR (with ~2 to 6hrs latency). The data are being archived at PO.DAAC, and also available at this CoastWatch page as a 2 weeks rotated buffer. Metop-A mission officially ended at 2021-11-15 and the production of the ACSPO SST for the Metop-A ended at 2021-11-14 due to data degradation on 2021-11-15.

jebidiah.jeffery Thu, 03/17/2022 - 11:21

he AVHRR FRAC SST data are produced from AVHRR/3s onboard Metop-A, -B and -C satellites using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.80 enterprise system, described in (Ignatov et al., 2016). Currently, near-real time (NRT) L2P and 0.02° L3U (gridded uncollated) data for Metop-A, -B and -C is produced at STAR (with ~2 to 6hrs latency). The data are being archived at PO.DAAC, and also available at this Coast watch page as a 2 weeks rotated buffer. Metop-A mission officially ended at 2021-11-15 and the production of the ACSPO SST for the Metop-A ended at 2021-11-14 due to data degradation on 2021-11-15.

The full-mission global AVHRR FRAC SST is produced from all three Metop First Generation satellites: A (2006-12-01 to 2021-11-14), B (2012-present) and C (2018-present), using the ACSPO enterprise system. Historical reprocessing (Reanalysis-1, RAN1) starts at the beginning of each mission and continues into near-real time (NRT). The L2P+L3U version of FRAC RAN1 is being archived in PO.DAAC.

The data are reported in 10min granule files in GHRSST Data Specifications v2 (GDS2) format, in swath projection (L2P) and 0.02° gridded L3U (U=uncollated), 144 granules per day, with a total data volume of 8GB/day for L2P and 0.4GB/day for L3U, respectively.

ACSPO retrievals are made in full AVHRR swath (~2,800 km). For data assimilation applications (such as production of L4 analyses, especially those that blend satellite and in situ data), correction for the Sensor-Specific Error Statistics (SSES; reported in ACSPO files; Petrenko et al., 2016) biases is strongly recommended.

In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland; note that in "invalid" pixels, defined as those with >5km inland, fill values are reported), the following layers are reported in both L2P and L3U: SSTs derived using multi-channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); NCEP wind speed for the NRT data and from MERRA-2 for RAN; and ACSPO SST minus reference (Canadian Met Centre L4 SST).

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.

Both L2P and L3U SSTs are monitored and validated against in situ data iQuam (Xu and Ignatov, 2014) in SQUAM (Dash et al., 2010) and ARMS (Ding et al., 2017) systems, and BTs are monitored in MICROS (Liang and Ignatov, 2011).

Short Names

AVHRRF_MA-STAR-L2P-v2.80

AVHRRF_MA-STAR-L3U-v2.80

AVHRRF_MB-STAR-L2P-v2.80

AVHRRF_MB-STAR-L3U-v2.80

AVHRRF_MC-STAR-L2P-v2.80

AVHRRF_MC-STAR-L3U-v2.80

Temporal Start Date

December 1, 2006

Temporal Coverage

2-week rotated

Product Families

Sea Surface Temperature

Algorithms

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

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

Petrenko, B., A. Ignatov, Y. Kihai, and A. Heidinger, 2010: Clear-Sky Mask for ACSPO. JTech, 27, 1609-1623, doi:10.1175/2010JTECHA1413.1

Monitoring

Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917, doi:10.1175/2010JTECHO756.1, www.star.nesdis.noaa.gov/sod/sst/squam/

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, www.star.nesdis.noaa.gov/sod/sst/micros/

Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1, www.star.nesdis.noaa.gov/sod/sst/iquam/

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 2

Level 3

Spatial Coverage

The ACSPO AVHRR FRAC data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

L2P: 3 hours
L3U: 3 hours

Spatial Resolution Groups

100m < 2km

2km+

Spatial Resolution Details

L2P: 1km @Nadir; ~6 km @swath edge
L3U: 0.02°

Platforms

MetOp

Instruments

AVHRR

Processing Algorithms

https://doi.org/10.5067/GHMTA-2PS28

Data Providers

NOAA

NESDIS

STAR

Product DOI

https://doi.org/10.5067/GHMTA-3US28

https://doi.org/10.5067/GHMTB-2PS28

https://doi.org/10.5067/GHMTB-3US28

https://doi.org/10.5067/GHMTC-2PS28

https://doi.org/10.5067/GHMTC-3US28

Data Tool Links

[14 Day Rotated Buffer]

L3U:

https://coastwatch.noaa.gov/data/pub0012/coastwatch/sst/nrt/avhrr_frac/

Sample Filenames

L2P: 20190809200000-OSPO-L2P_GHRSST-SSTsubskin-AVHRRF_MA-ACSPO_V2.70-v02.0-fv01.0.nc
L3U: 20190809200000-OSPO-L3U_GHRSST-SSTsubskin-AVHRRF_MA-ACSPO_V2.70-v02.0-fv01.0.nc

HTTPS

[14 Day Rotated Buffer]

L2P + L3U:

THREDDS

[14 Day Rotated Buffer]

L2P + L3U:

coastwatch.noaa.gov/thredds/socd/coastwatch/acspo/catalog_sst_acspo_frac_nrt.html

PO.DAAC Archive

AVHRRF_MA-STAR-L2P-v2.80: 10.5067/GHMTA-2PS28

AVHRRF_MA-STAR-L3U-v2.80: 10.5067/GHMTA-3US28

AVHRRF_MB-STAR-L2P-v2.80: 10.5067/GHMTB-2PS28

AVHRRF_MB-STAR-L3U-v2.80: 10.5067/GHMTB-3US28

AVHRRF_MC-STAR-L2P-v2.80: 10.5067/GHMTC-2PS28

AVHRRF_MC-STAR-L3U-v2.80: 10.5067/GHMTC-3US28

NCEI Archive

GHRSST-AVHRRF_MA-STAR-L2P: https://doi.org/10.25921/am4h-a956 (incomplete version of PO.DAAC 10.5067/GHMTA-2PS28)

GHRSST-AVHRRF_MA-STAR-L3U : https://doi.org/10.25921/rnn8-jh57 (incomplete version of PO.DAAC 10.5067/GHMTA-3US28)

GHRSST-AVHRRF_MB-OSPO-L2P: https://doi.org/10.25921/pakj-ez21 (incomplete version of PO.DAAC 10.5067/GHMTB-2PS28)

GHRSST-AVHRRF_MB-OSPO-L3U: https://doi.org/10.25921/ba3d-yz14 (incomplete version of PO.DAAC 10.5067/GHMTB-3US28)

GHRSST-AVHRRF_MC-OSPO-L2P: https://doi.org/10.25921/xcj3-sd43 (incomplete version of PO.DAAC 10.5067/GHMTC-2PS28)

GHRSST-AVHRRF_MC-OSPO-L3U: https://doi.org/10.25921/ktez-s353 (incomplete version of PO.DAAC 10.5067/GHMTC-3US28)

ACSPO Global SST from AHI

SST.Team — Thu, 17 Mar 2022 15:20:21 +0000

ACSPO Global SST from AHI

The AHI SST data are produced from Himawari-9 (Himawari-8 before 2022-Dec-13) geostationary satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.90 enterprise system,(ACSPO v2.70 was used for Himawari-8). Currently, only near-real time (NRT) data are produced at STAR, with a 2-6 hour latency (typically closer to 2 hours). The data are available in NetCDF4 format, compliant with the GHRSST Data Specifications v2 (GDS2). The data for Himawari-8 was archived with PO.DAAC with start date 2019-Oct-16 and end date 2022-Dec-13. The full mission of the Himawari-9 has been archiving in PO.DAAC. The data for Himawari-9 is also available at this Coast Watch page as a 2week rotated buffer. The reanalysis of the full mission of the Himawari-8 is available at this Coast Watch page. There is a plan to reprocess the AHI data, for the full Himawari-9 missions.

SST.Team Thu, 03/17/2022 - 11:20

The AHI SST data are produced from Himawari-9 (Himawari-8 before 2022-Dec-13 ) geostationary satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.90 enterprise system (ACSPO v2.70 was used for Himawari-8). Currently, only near-real time (NRT) data are produced at STAR, with a 2-6 hour latency (typically closer to 2 hours). The data are available in NetCDF4 format, compliant with the GHRSST Data Specifications v2 (GDS2). The data for Himawari-8 was archived with PO.DAAC with start date 2019-Oct-16 and end date 2022-Dec-13. The full mission of the Himawari-9 has been archiving in PO.DAAC. The data is also available at this Coast Watch page as a 2week rotated buffer. The reanalysis of the full mission of the Himawari-8 with ACSPO v2.90 is available at this Coast Watch page. There is a plan to reprocess the AHI data, for the full Himawari-9 missions.

The data are reported hourly, in AHI Full Disk (FD), for view zenith angle not exceeding 68°, both in swath projection (L2P) and as a 0.02° gridded L3C. There are 24 FDs per day, with a total data volume of 6.3GB/day for L2P and 0.6GB/day for L3C, respectively.

In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland; note that in "invalid" pixels, defined as those with >5km inland, fill values are reported), the following layers are reported in both L2P and L3C: SSTs derived using multi-channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); NCEP wind speed; and ACSPO SST minus reference (Canadian Met Centre L4 SST). For L2P, brightness temperatures (BTs) in 3.9, 8.6, 10, 11, and 12 µm bands are also reported, for those users interested in direct radiance assimilation (e.g., NOAA NCEP, NASA GMAO).

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 SSTs from the original BTs.

Both L2P and L3C SSTs are monitored and validated against in situ data (Xu and Ignatov, 2014) in SQUAM (Dash et al., 2010) and ARMS (Ding et al., 2017) systems, and BTs are monitored in MICROS (Liang and Ignatov, 2011).

Short Names

AHI_H08-STAR-L2P-v2.70

AHI_H08-STAR-L3C-v2.70

H09-AHI-L2P-ACSPO-v2.90

H09-AHI-L3C-ACSPO-v2.90

Temporal Start Date

October 16, 2019

Product Families

Sea Surface Temperature

Algorithms:

Petrenko, B., A. Ignatov, Y. Kihai, M. Pennybacker, 2019: Optimization of sensitivity of GOES-16 ABI sea surface temperature by matching satellite observations with L4 analysis. Remote Sens, 11, 206, doi: 10.3390/rs11020206, https://www.mdpi.com/2072-4292/11/2/206/htm
Petrenko, B., A. Ignatov, M. Kramar, Y. Kihai, 2016: Exploring new bands in multichannel regression SST algorithms for the next generation infrared sensors at NOAA. Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270N (30 May 2016); doi:10.1117/12.2229578, ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/SPIE/2016/Papers/PetrenkoEtAl_Improved_ACSPO_Algorithms_98270N.pdf
Kramar, M., A. Ignatov, B. Petrenko, Y. Kihai, P. Dash, 2016: Near Real Time SST retrievals from Himawari-8 at NOAA using ACSPO system. Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270L (30 May 2016); doi:10.1117/12.2229771, ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/SPIE/2016/Papers/KramarEtAl_ACSPO_AHI_98270L.pdf
Ignatov, A., I. Gladkova, Y. Ding, F. Shahriar, Y. Kihai, X. Zhou, JPSS VIIRS level 3 uncollated SST Product at NOAA”. J. Appl. Remote Sens., 11(3), 032405, doi:10.1117/1.JRS.11.032405 (2017), ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/Irina/L3U/JARS_11_3_032405.pdf

Monitoring:

SQUAM (https://www.star.nesdis.noaa.gov/sod/sst/squam/): Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917,doi:10.1175/2010JTECHO756.1
iQUAM (https://www.star.nesdis.noaa.gov/sod/sst/iquam/): Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1
ARMS (https://www.star.nesdis.noaa.gov/sod/sst/arms/): Ding, Y., A. Ignatov, K. He, I. Gladkova, 2018: ACSPO Regional Monitor for SST (ARMS). GHRSTT XIX: Science Team Meeting, June 2018, Darmstadt, Germany, ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/GHRSST/G19/Presentations/G19_Oral_ARMS_Ignatov_v02.pptx
MICROS (https://www.star.nesdis.noaa.gov/sod/sst/micros/):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

Measurements

Sea Surface Temperature - Geostationary

Processing Levels

Level 2

Level 3

Spatial Coverage

East Asia & Western Pacific

The ACSPO AHI SST data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

2-6 hours (typically closer to 2 hours)

Spatial Resolution Groups

2km+

Spatial Resolution Details

L2P: From 2km@Nadir(link sends e-mail) to ~12km @VZA=68°
L3C: 0.02°

Platforms

Himawari

Instruments

AHI

Processing Algorithms

https://doi.org/10.5067/GHH08-2PO27

Data Providers

JMA

NOAA

NESDIS

STAR

Product DOI

https://doi.org/10.5067/GHH08-3CO27

https://doi.org/10.5067/GHH09-2P290

https://doi.org/10.5067/GHH09-3C290

Data Tool Links

Near Real-Time (NRT) [14 Day Rotated Buffer]

H09 L3C:

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/nrt/ahi/h09/

Sample Filenames

L2P: 20191016000000-STAR-L2P_GHRSST-SSTsubskin-AHI_H08-ACSPO_V2.70-v02.0-fv01.0.nc
L3C: 20191016000000-STAR-L3C_GHRSST-SSTsubskin-AHI_H08-ACSPO_V2.70-v02.0-fv01.0.nc

HTTPS

Near Real-Time (NRT) [14 Day Rotated Buffer]

H09 L2C + L3C:

Reanalysis (RAN)

H08 L2C + L3C:

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/ran/ahi/h08/

THREDDS

Near Real-Time (NRT) [14 Day Rotated Buffer]

H09 L2C:

https://coastwatch.noaa.gov/thredds/catalog/swathH09AHINRTL2CWW00/catalog.html

H09 L3C:

https://coastwatch.noaa.gov/thredds/catalog/gridH09AHINRTL3CWW00/catalog.html

Reanalysis (RAN)

H08 L2C + L3C:

https://coastwatch.noaa.gov/thredds/catalog/socd/coastwatch/acspo/ahi/catalog_h08_ran.html

PO.DAAC Archive

Near Real-Time (NRT)

H08 L2C:

H08 L3C:

H09 L2C:

H09 L3C:

NCEI Archive

GHRSST-AHI_H08-STAR-L2P
10.25921/mzv0-km10

GHRSST-AHI_H08-STAR-L3C
10.25921/p1y5-yv98

GHRSST-AHI_H09-STAR-L2P
10.25921/73xy-1v10

GHRSST-AHI_H09-STAR-L3C
10.25921/3rew-g964

ACSPO Global SST from ABI

SST.Team — Thu, 17 Mar 2022 15:19:53 +0000

ACSPO Global SST from ABI

The ABI SST data are produced from GOES-East (at present GOES-19, before 2025/04/06 GOES-16) and GOES-West (at present GOES-18, before 2023/01/10 GOES-17) satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v.3.0 and v290 enterprise system. Currently, near-real time (NRT) data are produced at STAR, with a ~2-6 hour latency. A Reanalysis (RAN) dataset for GOES-16 is also available. The data are available in NetCDF4 format, compliant with the GHRSST Data Specifications v2 (GDS2). Currently, the data are archived on PO.DAAC and available at this Coast Watch page as a 2week rotated buffer.

SST.Team Thu, 03/17/2022 - 11:19

The ABI SST data are produced from GOES-EAST, now GOES-19 (GOES-16 with ACSPO v2.70 before 2025/04/06) satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v3.00 and GOES-WEST, nowGOES-18 satellite using the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) v2.90 enterprise system, GOES-17 (GOES-WEST) used ACSPO v2.71. Currently, for GOES-19 and GOES-18 near-real time (NRT) data are produced at STAR, with a latency of 2 to 6 hours (typically closer to 2 hours). For GOES-16 a reanalysis and reanalysis ver. 2 (ACSPO v2.90) starting 2017-Dec-15 exist. The data are available in NetCDF4 format, compliant with the GHRSST Data Specifications v2 (GDS2). The data is archived with PODAAC with start date 2019-Feb-01 and end date 2023-Jan-10 (G17W) , 2022-Jun-7 (G18W) and 2017-Dec-15 (G16E) respectively. The NRT data is also available at this Coast Watch page as a 2-week rotated buffer. There is a plan to reprocess the GOES-17 and -18 ABI data and to repeat the reprocessing of the GOES-16 data.

The data are reported hourly, in ABI Full Disk (FD), for view zenith angle not exceeding 68° in GHRSST Data Specifications v2 (GDS2) format, in swath projection (L2P) and 0.02° gridded L3C, 24 FDs per day, with a total data volume of 6.3GB/day for L2P and 0.5GB/day for L3C, respectively.

It should be noted that, due to an issue with its Loop Heat pipe, the L1b data for G17 was compromised for certain hours of the day and cannot be used to generate sensible SSTs. Therefore, SSTs from G17 was not reported for the times between 09:00 UTC and 19:00 UTC. Since this is a hardware issue it is unlikely to be resolved in the near future. (see Pennybacker et al., 2019). The new GOES-West (G18) is free from such problems.

In each valid water pixel (defined as ocean, sea, lake or river, up to 5km inland; note that in "invalid" pixels, defined as those with >5km inland, fill values are reported), the following layers are reported in both L2P and L3C: SSTs derived using multi-channel SST (MCSST; night) and Non-Linear SST (NLSST; day) algorithms (Petrenko et al., 2014); ACSPO clear-sky mask (ACSM; provided in each pixel as part of l2p_flags; Petrenko et al., 2010); SSES bias and standard deviation (Petrenko et al., 2016); NCEP wind speed; and ACSPO SST minus reference (Canadian Met Centre L4 SST). For L2P, brightness temperatures (BTs) in 3.9, 8.6, 10, 11, and 12 µm bands are also reported, for those users interested in direct "radiance assimilation" (e.g., NOAA NCEP, NASA GMAO).

Short Names

ABI_G16-STAR-L2P-v2.70

ABI_G16-STAR-L3C-v2.70

ABI_G17-STAR-L2P-v2.71

ABI_G17-STAR-L3C-v2.71

G18-ABI-L2P-ACSPO-v2.90

G18-ABI-L3C-ACSPO-v2.90

Temporal Start Date

December 15, 2017

Temporal Coverage

G16/EAST RAN+NRT: 2017-Dec-15 to 2019-May-07 (RAN) to present (NRT) (PODAAC)

G17/WEST NRT: 2019-Oct-16 to present (PODAAC)

G18/WEST RAN+NRT: 2022-Jun-7 to present(RAN 2 months delayed) (NRT) (PODAAC)

Product Families

Sea Surface Temperature

Algorithms:

Petrenko, B., A. Ignatov, Y. Kihai, M. Pennybacker, 2019: Optimization of sensitivity of GOES-16 ABI sea surface temperature by matching satellite observations with L4 analysis. Remote Sens, 11, 206, doi: 10.3390/rs11020206, https://www.mdpi.com/2072-4292/11/2/206/htm
Pennybacker, M., A. Ignatov, O. Jonasson, I. Gladkova, B. Petrenko, Y. Kihai, 2019, Mitigation of the GOES-17 ABI performance issues in the NOAA ACSPO SST products, Proc. SPIE 11014, Ocean Sensing and Monitoring XI, 110140Q (30 May 2019); doi:10.1117/12.2521051, ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/SPIE/2019/Papers/PennybackerEtAl_Mitigation_G17_SST_110140Q.pdf
Ignatov, A., I. Gladkova, Y. Ding, F. Shahriar, Y. Kihai, X. Zhou, JPSS VIIRS level 3 uncollated SST Product at NOAA”. J. Appl. Remote Sens., 11(3), 032405, doi:10.1117/1.JRS.11.032405 (2017), ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/Irina/L3U/JARS_11_3_032405.pdf

Monitoring:

SQUAM (https://www.star.nesdis.noaa.gov/sod/sst/squam/): Dash, P., A. Ignatov, Y. Kihai & J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917,doi:10.1175/2010JTECHO756.1
iQUAM (https://www.star.nesdis.noaa.gov/sod/sst/iquam/): Xu, F. & A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1
ARMS (https://www.star.nesdis.noaa.gov/sod/sst/arms/): Ding, Y., A. Ignatov, K. He, I. Gladkova, 2018: ACSPO Regional Monitor for SST (ARMS). GHRSTT XIX: Science Team Meeting, June 2018, Darmstadt, Germany, ftp://ftp.star.nesdis.noaa.gov/pub/sod/osb/aignatov/GHRSST/G19/Presentations/G19_Oral_ARMS_Ignatov_v02.pptx
MICROS (https://www.star.nesdis.noaa.gov/sod/sst/micros/):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

Measurements

Sea Surface Temperature - Geostationary

Processing Levels

Level 2

Level 3

Spatial Coverage

Western Hemisphere

The ACSPO ABI SST data are provided by NOAA STAR. We strongly recommend contacting NOAA SST team led by A. Ignatov before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

NRT: 2-6 hours (in most cases closer to 2 hours)

Spatial Resolution Groups

2km+

Spatial Resolution Details

L2P: 2km at Nadir to ~12km at VZA=68°
L3C: 0.02°

Platforms

GOES-East

GOES-West

Instruments

ABI

Processing Algorithms

https://doi.org/10.5067/GHG16-2PO27

Data Providers

NOAA

NESDIS

STAR

Product DOI

https://doi.org/10.5067/GHG16-3UO27

https://doi.org/10.5067/GHG17-2PO71

https://doi.org/10.5067/GHG17-3UO71

https://doi.org/10.5067/GHG18-2PO29

https://doi.org/10.5067/GHG18-3CO29

Data Tool Links

Near Real-Time (NRT) [14 Day Rotated Buffer]

G18 + G19 L3C:

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/nrt/abi/g18/

Sample Filenames

L2P: 20191016000000-STAR-L2P_GHRSST-SSTsubskin-ABI_G16-ACSPO_V2.70-v02.0-fv01.0.nc
L3C: 20191016000000-STAR-L3C_GHRSST-SSTsubskin-ABI_G16-ACSPO_V2.70-v02.0-fv01.0.nc

HTTPS

Near Real-Time (NRT) [14 Day Rotated Buffer]

G18 L2P/L3C:

G19 L2P/L3C:

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/nrt/abi/g19/

Reanalysis ver. 2 (RAN2) [2 months delayed]

G16 L2P/L3C:

https://coastwatch.noaa.gov/data/pub0014/coastwatch/sst/ran/abi/g16/

THREDDS

Near Real-Time (NRT) [14 Day Rotated Buffer]

G18 L2P:

https://coastwatch.noaa.gov/thredds/catalog/swathG18ABINRTL2CWW00/catalog.html

G18 L3C:

https://coastwatch.noaa.gov/thredds/catalog/gridG18ABINRTL3CWW00/catalog.html

G19 L2P:

https://coastwatch.noaa.gov/thredds/catalog/swathG19ABINRTL2CWW00/catalog.html

G19 L3C:

https://coastwatch.noaa.gov/thredds/catalog/gridG19ABINRTL3CWW00/catalog.html

Reanalysis ver. 2 (RAN2)

G16 L2P/L3C:

https://coastwatch.noaa.gov/thredds/catalog/socd/coastwatch/acspo/abi/catalog_g16_ran.html

PO.DAAC Archive

G16 L2P:

G16 L3C:

G17 L2P:

G17 L3C:

G18 L2P:

G18 L3C:

NCEI Archive

NCEI archive contains an incomplete copy of PO.DAAC archive

GHRSST-ABI_G16-STAR-L2P

10.25921/ayf6-c438

GHRSST-ABI_G16-STAR-L3C

10.25921/rtf0-q898

GHRSST-ABI_G17-STAR-L2P
10.25921/6yga-qb89

GHRSST-ABI_G17-STAR-L3C
10.25921/4cs0-ym62

GHRSST-ABI_G18-STAR-L2P
10.25921/sr4z-pj22

GHRSST-ABI_G18-STAR-L3C
10.25921/jaxf-9b11

NOAA CoastWatch co-gridded VIIRS SST from ACSPO

jebidiah.jeffery — Thu, 21 Oct 2021 15:58:41 +0000

NOAA CoastWatch co-gridded VIIRS SST from ACSPO

NOAA CoastWatch co-gridded VIIRS SST products are Level 3 daily composites in compatible format and projection with other CoastWatch Level 3 sector and global products (such as CoastWatch sector VIIRS ocean color). Twenty four CoastWatch sector files mapped to equatorial projection that cover the globe (see Description tab for sector definitions) two polar stereographic sectors in 750 m nominal, native resolution and a global, 4 km resolution, single file mapped product is also available. These CoastWatch Level 3 products are generated from ACSPO L2P SST as input.

jebidiah.jeffery Thu, 10/21/2021 - 11:58

NOAA CoastWatch creates these co-gridded AVHRR SST Level 3 daily composites to be compatible in format and projection with the VIIRS Ocean Color Level 3 daily composites (Note VIIRS sector full resolution is 750m). The input for these CoastWatch Sector SST files is daily, near real time ACSPO SST for AVHRR.

These SST products are intended for users who seek AVHRR ACSPO SST data co-registered with CoastWatch ocean color data from AVHRR and are not the NOAA operational L3U ACSPO products. The CoastWatch co-gridded products are available in regional Sectors at full 1.2 kilometer AVHRR resolution and as global products at 4 km resolution. The regional products consist of 24 sectors (see Sector map below) mapped to the VIIRS ocean color sectors, and polar stereographic regions NP06 and SP06 mapped identically to the CoastWatch VIIRS ice products. The 4 km global product is also mapped identically to the corresponding CoastWatch VIIRS ocean color product.

CoastWatch Regional Sectors

These products start with the operational ACSPO L2P product (in the canonical ten-minute granule form), ingest that for CoastWatch processing, and then georegister and mask those granule-level products. The mask applied is 0xC002.That rejects pixels flagged 0x40, 0x80, and 0xC0 (anything but confident clear) and pixels flagged 0x02 (land). The L3 masked granule products are aggregated to a daily product on the same grid on the basis of the last pixel seen. The 4 km global product is created by averaging the non-null values for the pixels of the daily sector maps in a 5x5 grid.

Note: CoastWatch also distributes a gap-filled polar plus geosynchronous blended daily SST analysis product suite at 5 km resolution.

Short Names

CW Sector SST

Temporal Coverage

Daily

Product Families

Sea Surface Temperature

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 3

Spatial Coverage

CoastWatch Global Sectors

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

~12-24 h

Spatial Resolution Groups

100m < 2km

2km+

Spatial Resolution Details

Global in 24 CoastWatch Sectors (24 separate files at nominal 750 m resolution)
Global 4 km (in 1 file)

Platforms

Instruments

Processing Algorithms

Data Providers

NOAA

NESDIS

STAR

SST Team

Data Tool Links

https://coastwatch.noaa.gov/data/pub0021/coastwatch/sst_acspo/viirs/npp/night/global/daily/

HTTPS

NPP:

N20:

https://coastwatch.noaa.gov/data/pub0021/coastwatch/sst_acspo/viirs/n20/night/global/daily/

N21:

https://coastwatch.noaa.gov/data/pub0021/coastwatch/sst_acspo/viirs/n21/night/global/daily/

THREDDS

Top Level

Global+Sector:

https://www.star.nesdis.noaa.gov/thredds/socd/coastwatch/catalog_coastw…

CONUS:

https://www.star.nesdis.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_cogridded_conus.html

GLOBAL

NPP:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_npp_night_conus_daily.html

N20:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_n20_night_conus_daily.html

N21:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_n21_night_conus_daily.html

Sectors

NPP:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_npp_night_conus_daily.html

N20:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_n20_night_conus_daily.html

N21:

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_coastwatch_sst_acspo_viirs_n21_night_conus_daily.html

ACSPO Global 0.02º Gridded Super-collated SST and Thermal Fronts from Low-Earth-Orbiting Platforms (L3S-LEO)

jebidiah.jeffery — Thu, 21 Oct 2021 15:47:25 +0000

ACSPO Global 0.02º Gridded Super-collated SST and Thermal Fronts from Low-Earth-Orbiting Platforms (L3S-LEO)

NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) L3S-LEO SST is a family of multisensor gridded ("L3") 0.02º resolution super-collated ("S") products. The L3S-LEO family is organized into three lines: PM, AM and Daily. The AM and PM lines correspond to 9:30am/pm and 1:30am/pm equator crossing times, respectively. The Daily line combines PM and AM (day and night) SSTs into a single daily L3S SST that is normalized to 1:30am viewing conditions.

jebidiah.jeffery Thu, 10/21/2021 - 11:47

The NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) L3S-LEO is a family of multisensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites. The L3S-LEO family is organized into three lines: PM, AM and Daily. The AM (mid-morning orbit) and PM (afternoon orbit) lines contain SST data from satellites with 9:30am/pm and 1:30am/pm equator crossing times, respectively. Both AM and PM lines are split into day-time (solar zenith angle < 90º) and night-time (solar zenith angle >= 90º) files, resulting in 4 files per day in total, which approximately cover the 24 hours diurnal cycle in 4 points. The Daily (DY) line combines PM and AM (day and night) SSTs into a single daily L3S SST that is normalized to 1:30am viewing conditions using a statistical model informed by surface wind speed and shortwave radiation.

The AM product is produced from three (currently two active) AVHRR FRACs (flown aboard METOP-A, B and C). The PM product is produced from three VIIRSs (flown aboard NPP, N20, N21) and MODIS (onboard Aqua; included until Dec 31 2022). The DY product is produced by combining all four L3S-LEO-AM/PM day/night SSTs. SST from Terra MODIS is also included in DY in until 31 Dec 2021.

All L3S-LEO products contain information about thermal fronts, which is included in ACSPO files in two new variables ‘sst_front_position’ and ‘sst_gradient_magnitude’. The first variable is a binary indicator of SST front position. It is set to ‘1’ where a front is present, and to ‘0’ elsewhere. The second variable is the SST gradient magnitude (in units of K/km).

L3S-LEO data are provided in GHRSST Data Specification v2 (GDS2) NetCDF format, as L3S (gridded, super-collated, 0.02º). We plan to create an L3S-GEO line, and eventually consolidate the L3S-LEO and L3S-GEO into one sensor-agnostic L3S SST product.

All ACSPO L3S-LEO products provided here are mature and validated. Please contact the CoastWatch helpdesk with any questions.

Short Names

ACSPO-L3S-LEO-PM-v2.81

ACSPO-L3S-LEO-AM-v2.80

ACSPO-L3S-LEO-Daily-v2.81

Temporal Start Date

February 24, 2000

Product Families

Sea Surface Temperature

Algorithms

Jonasson, O.; Gladkova, I.; Ignatov, A. Towards global daily gridded super-collated SST product from low earth orbiting satellites (L3S-LEO-Daily) at NOAA. Proc. SPIE 2022, 12118, 1211805, doi:10.1117/12.2620103, [pdf paper (link)], [mp4 presentation (link)], [ppt presentation (link)].
Jonasson, O.; Gladkova, I.; Ignatov, A.; Kihai, Y. Algorithmic Improvements and Consistency Checks of the NOAA Global Gridded Super-Collated SSTs from Low Earth Orbiting Satellites (L3S-LEO). Proc. SPIE 2021, 11752, 1175202, doi:10.1117/12.2585819, [pdf paper (link)], [mp4 presentation (link)], [ppt presentation (link)].
Jonasson, O.; Gladkova, I.; Ignatov, A.; Kihai, Y. Progress with Development of Global Gridded Super-Collated SST Products from Low Earth Orbiting Satellites (L3S-LEO) at NOAA. Proc. SPIE 2020, 11420, 1142002. doi:10.1117/12.2551819. [pdf paper (link)], [mp4 presentation (link)], [ppt presentation (link)].
Gladkova, I.; Ignatov, A.; Pennybacker, M.; Kihai, Y. Towards High-Resolution Multi-Sensor Gridded ACSPO SST Product: Reducing Residual Cloud Contamination. Proc. SPIE 2019, 11014, 110140L. doi:10.1117/12.2518462, [pdf paper (link)], [ppt presentation (link)].
Gladkova, I., A. Ignatov, M. Pennybacker, Y. Kihai, 2019: Towards High-Resolution Multi-Sensor Gridded ACSPO L3S SST Product. GHRSTT XX: Science Team Meeting, June 2019, Frascati, Italy [ppt presentation (link)].

Monitoring

SQUAM: Dash, P., A. Ignatov, Y. Kihai, J. Sapper, 2010: The SST Quality Monitor (SQUAM). JTech, 27, 1899-1917, doi:10.1175/2010JTECHO756.1.
iQuam: Xu, F., A. Ignatov, 2014: In situ SST Quality Monitor (iQuam). JTech, 31, 164-180, doi:10.1175/JTECH-D-13-00121.1.
ARMS: Ding, Y., A. Ignatov, K. He, I. Gladkova, 2018: ACSPO Regional Monitor for SST (ARMS). GHRSTT XIX: Science Team Meeting, June 2018, Darmstadt, Germany [ppt presentation 21.5Mb (link)].
MICROS: 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.

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 3

Spatial Coverage

The ACSPO L3S-LEO SST data are provided by NOAA STAR. We strongly recommend contacting Olafur.Jonasson@noaa.gov or Alex.Ignatov@noaa.gov, before the data are used for any publication or presentation.

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

24 hours

Spatial Resolution Groups

2km+

Spatial Resolution Details

0.02°

Platforms

Instruments

Processing Algorithms