CoastWatch US Regions

VIIRS (SNPP) Level 3

jebidiah.jeffery — Thu, 17 Mar 2022 15:25:59 +0000

VIIRS (SNPP) Level 3

NOAA CoastWatch / OceanWatch / PolarWatch produces Level 3 sea surface temperature datasets using the VIIRS sensor aboard the SNPP satellite.

jebidiah.jeffery Thu, 03/17/2022 - 11:25

Short Names

VIIRS_L3

Temporal Coverage

Near real-time + 3 days

Product Families

Sea Surface Temperature

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 3

Spatial Coverage

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

Less than 24 hours

Spatial Resolution Groups

100m < 2km

Spatial Resolution Details

750m @ Nadir; ~1.7km at swath edge

Platforms

SNPP

Instruments

VIIRS

Data Providers

NOAA

NESDIS

STAR

Data Tool Links

CoastWatch Near Real-Time Search

Sample Filenames

2016_300_0530_npp_er.hdf [YYYY_JJJ_HHMM_PPP_RR.[png, tif, hdf]

HTTPS

https://www.star.nesdis.noaa.gov/data/socd3/coastwatch/products/legacy_sst/viirs/

AVHRR (MetOp-1/2) Level 2/3

jebidiah.jeffery — Thu, 17 Mar 2022 15:24:52 +0000

AVHRR (MetOp-1/2) Level 2/3

NOAA CoastWatch / OceanWatch / PolarWatch produces Level 2/3 sea surface temperature datasets using AVHRR sensors aboard the Metop 1/2 satellites.

jebidiah.jeffery Thu, 03/17/2022 - 11:24

Short Names

AVHRR_L2

AVHRR_L3

Temporal Coverage

Near real-time + 3 days

Product Families

Sea Surface Temperature

Measurements

Sea Surface Temperature - Polar-orbiting

Processing Levels

Level 2

Level 3

Spatial Coverage

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

24+ hours (Delayed)

Latency Details

Less than 24 hours

Spatial Resolution Groups

2km+

Spatial Resolution Details

4km @Nadir; ~30km @swath edge

Platforms

MetOp

Instruments

AVHRR

Data Providers

ESA

EUMETSAT

Data Tool Links

CoastWatch Near Real-Time Search

Sample Filenames

2016_300_1446_n19_ax.hdf [YYYY_JJJ_HHMM_PPP_RR.[png, tif, hdf]

HTTPS

Swath + Mapped Regions:

https://www.star.nesdis.noaa.gov/data/socd3/coastwatch/products/legacy_sst/avhrr/

Ocean Color - Near Real Time - OLCI Sentinel-3A and 3B Regional Coverage

jebidiah.jeffery — Thu, 17 Mar 2022 14:29:30 +0000

Ocean Color - Near Real Time - OLCI Sentinel-3A and 3B Regional Coverage

OLCI Sentinel-3A and 3B regional coverage (US coasts of interest, a.k.a. "CONUS" but including Hawaii) Level-3 mapped daily composites of ocean color remote sensing reflectances (Rrs(λ), chlorophyll-a concentration and derived water quality related products including diffuse attenuation coefficient at 490 nm (Kd490), normalized fluorescence line height (NLFH), and total suspended matter (TSM) from the EUMETSAT processing.

jebidiah.jeffery Thu, 03/17/2022 - 10:29

The Sentinels are a suite of satellite missions developed to serve the operational needs of the European Copernicus program for Earth observations. NOAA CoastWatch/OceanWatch provides Sentinel data to US users through official arrangements with ESA, EUMETSAT and the European Commission.

Sentinel-3 is a multi-instrument mission to measure sea- and land-surface temperature, ocean and land color and sea-surface topography. Sentinel-3A was launched on 16 February 2016. Sentinel 3B launched on 25 April 2018 with the same suite of instruments.

The Ocean and Land Colour Instrument (OLCI) is based on heritage from Envisat’s Medium Resolution Imaging Spectrometer (MERIS) to measure visible and thermal infrared radiances with which to generate true color, ocean color radiances and derived products such as chlorophyll, total suspended matter (TSM), diffuse attenuation coefficient at 490 nm (Kd(490)), absorption at 443 nm (a(443), and normalized fluorescence line height (nflh). OLCI has 21 bands at wavelengths from 400 nm to 1020 nm (400, 412, 442, 490, 510, 560, 620, 665, 674, 681, 709, 754, 779, 865, 885, 1024 nm), a spatial resolution of ~300 m (at nadir) and a swath width of 1270 km.

CoastWatch distributes EUMETSAT native products (L2) also generates and serves mapped and composited products (L3) for US Coastal regions ("CONUS") and global sectors. Global sectors are "hi-res" 300 m 216 sectors (AA through RL, Figure 1) and "VIIRS-res" 750 m 24 sectors which match VIIRS ocean color (Figure 2). See the data access tab for product listings and links.

Figure 1. CoastWatch hi-res OLCI Sentinel-3 sector coordinate map

Figure 2. CoastWatch VIIRS-res sector coordinate map

See the ESA Sentinel-3 website for more information: http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-3/Introducing_Sentinel-3

OLCI Level 1b (e.g., true color) and ocean color Level 2 data (e.g., radiances, chlorophyll, etc.) are generated by EUMETSAT (https://www.eumetsat.int/sentinel-3) and served by CoastWatch

See the EUMETSAT ocean data product pages for more information and links to specific documents: https://www.eumetsat.int/sentinel-3

Product Families

Ocean Color

Measurements

Chlorophyll-a Concentration

Diffuse Attenuation Coefficients

Normalized Fluorescence Line Height

Remote Sensing Reflectance

Suspended Particulate Matter

Processing Levels

Level 3

Spatial Coverage

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

8 hours

Spatial Resolution Groups

100m < 2km

Spatial Resolution Details

300 m

Platforms

Sentinel-3

Instruments

OLCI

Processing Algorithms

OC4Me

Data Providers

EUMETSAT

NOAA

NESDIS

STAR

CoastWatch

Data Tool Links

CoastWatch Near Real-Time Searches

L3 CoastWatch CONUS Regional Data

HTTPS

CoastWatch Level-3 Mapped Regions for chlorophyll, Kd490, Rrs665 and Rrs681 (example dataset ~March to June 2019):

Sentinel-3A:

https://coastwatch.noaa.gov/pub//socd7/coastwatch/products/olci/s3a/regional/

Sentinel-3B:

https://coastwatch.noaa.gov/pub//socd7/coastwatch/products/olci/s3b/regional/

THREDDS

OLCI Sentinel 3A and Sentinel 3B near real time, CONUS Regions, ocean color (from EUMETSAT native L2)

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

Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

https://coastwatch.noaa.gov/thredds/socd/coastwatch/catalog_olci_s3b_hires_sector_nlw_daily.html

Ocean Color - Near Real Time - OLCI Sentinel-3A and 3B Global Coverage

jebidiah.jeffery — Thu, 17 Mar 2022 14:28:58 +0000

Ocean Color - Near Real Time - OLCI Sentinel-3A and 3B Global Coverage

OLCI Sentinel-3A and 3B global coverage ocean color including visible remote sensing reflectances and derived parameters such as chlorophyll-a concentration and light attenuation coefficients.

jebidiah.jeffery Thu, 03/17/2022 - 10:28

Figure 1. CoastWatch hi-res OLCI Sentinel-3 sector coordinate map

Figure 2. CoastWatch VIIRS-res sector coordinate map

See the ESA Sentinel-3 website for more information: http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-3/Introducing_Sentinel-3

OLCI Level 1b (e.g., true color) and ocean color Level 2 data (e.g., radiances, chlorophyll, etc.) are generated by EUMETSAT (https://www.eumetsat.int/sentinel-3) and served by CoastWatch.

See the EUMETSAT ocean data product pages for more information and links to specific documents: https://www.eumetsat.int/sentinel-3

Short Names

OLCI Ocean Color

Temporal Start Date

October 20, 2016

Product Families

Ocean Color

Measurements

Chlorophyll-a Concentration

Diffuse Attenuation Coefficients

Remote Sensing Reflectance

Processing Levels

Level 2

Level 3

Spatial Coverage

Global

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

8 hours

Spatial Resolution Groups

100m < 2km

Spatial Resolution Details

300 m

Platforms

Sentinel-3

Instruments

OLCI

Processing Algorithms

OC4Me

Data Providers

Copernicus

NOAA

NESDIS

STAR

CoastWatch

Data Tool Links

CoastWatch Data Portal:

CoastWatch Granule Selector Tool

OLCI L1/L2

CoastWatch Data Search

L2 Data

CoastWatch Near Real-Time Search

Sample Filenames

S3A_OL_1_EFR____20160831T093739_20160831T094039_20160831T114446_*.SEN3.tar
S3A_OL_2_WFR____20170823T154032_20170823T154332_20170823T174158_0179_021_225_2520_MAR_O_NR_002.SEN3.tar
OLCQCW_I2017234_160343_FL03_closest_[chlora,kd490,...].hdf

HTTPS

CoastWatch Global Level-3 chlorophyll, Kd490, and nLw:

Sentinel-3A:

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3a/global/chlora/daily/WW00

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3a/global/kd/daily/WW00

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3a/global/nlw/daily/WW00

Sentinel-3B:

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3b/global/chlora/daily/WW00

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3b/global/kd/daily/WW00

https://coastwatch.noaa.gov/data/pub0017/coastwatch/products/olci/s3b/global/nlw/daily/WW00

THREDDS

Link for OLCI Sentinel 3A and Sentinel 3B near real time, global, ocean color (from EUMETSAT native L2)

Top Level Catalog

Sentinel 3A

Hi-res (300 m) global sectors mapped daily merge (216 sectors, AA through RL; see hi-res 300m OLCI sector map )

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

VIIRS-res (750 m) global sectors mapped daily merge (24 sectors to match VIIRS sectors; see 750m OLCI sector map )

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

Global 4 km mapped daily merge (1 file per day)

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

Sentinel 3B

Hi-res (300 m) global sectors mapped daily merge (216 sectors, AA through RL; see hi-res 300m OLCI sector map )

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

VIIRS-res (750 m) global sectors mapped daily merge (24 sectors to match VIIRS sectors; see 750m OLCI sector map)

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

Global 4 km mapped daily merge (1 file per day)

Chlorophyll
Kd 490
Rrs (400 nm, 412 nm, 442 nm, 490 nm, 510 nm, 560 nm, 620 nm, 665 nm, 674 nm, 681 nm, 709 nm, 754 nm, 779 nm)

S-3A/B OLCI Sector maps of 300m and 750m sectors:

Select a sector and the corresponding THREDDS links will display below the 300m sector map.

ERDDAP

S-3A and S-3B OLCI mapped to 750m Sectors:

Chlorophyll-a

NOAA MSL12 Ocean Color - Near Real Time - VIIRS single-sensor SNPP and NOAA-20

jebidiah.jeffery — Thu, 17 Mar 2022 14:28:21 +0000

NOAA MSL12 Ocean Color - Near Real Time - VIIRS single-sensor SNPP and NOAA-20

Ocean Color Level 2 (EDR) is produced through NOAA Multi-Sensor Level 1 to Level 2 processing system (MSL12) from IDPS satellite data record (SDR, Level 1b). Level 3 mapped and composite products are also available, now including a 2-sensor (VIIRS: SNPP plus NOAA-20) merged daily chlorophyll and diffuse attenuation coefficients (Kd(490) and Kd(PAR) .

jebidiah.jeffery Thu, 03/17/2022 - 10:28

Ocean Color satellite sensors measure visible light at specific wavelengths which leaves the surface of the ocean and arrives at the top of the atmosphere where the sensor is located. From these visible spectral measurements, along with simultaneous measurements in the near infrared (NIR) and the short wave infrared (SWIR) wavelengths, the color of the ocean, or normalized water leaving radiances (nL_w), can be calculated. Then, the nL_ws are used to derive other ocean properties such as the concentration of chlorophyll-a (chlor-a or sometimes chl, which is the green pigment responsible for photosynthesis and therefore an indicator of the amount of phytoplankton biomass in the ocean water) and the coefficient of extinction for downwelling irradiance (K_d(PAR) and K_d(490) which are related to water clarity).

The ocean color datasets described here are from the Visible and Infrared Imaging Radiometer Suite (VIIRS) sensor aboard the Suomi-NPP satellite (SNPP) which was launched in November 2011 and NOAA-20 launched in November 2017. Global life-of-mission science quality data are available beginning on 2 January 2012 for SNPP. NOAA ocean color data are processed using NOAA Multi-Sensor Level 1 to Level 2 processing system (MSL12) developed by the NOAA/STAR Ocean Color Team. See documentation tab for relevant publications describing the system and algorithms.

The VIIRS near real time products and the science quality collection differ in several ways (Table 1). Generally, the near real time data are best suited for applications where timeliness of reasonable quality data is most important whereas science quality data are best suited for applications where consistent, best available quality are required and a ~2 week delay is acceptable.

The 2-sensor merged daily 4 km global products are derived from MSL12 v1.3 for both SNPP plus NOAA-20. Note that sole sensor SNPP products are processed from MSL12 v1.2 and sole sensor NOAA-20 products are processed from MSL12 v 1.3. The upgrade to MSL12 v1.3 for SNPP is planned (along with a mission-long reprocessing for science quality).

Table 1. Comparison of primary processing differences for VIIRS near real time versus science quality ocean color data.
Parameter	Near real-time	Science Quality
Latency	~12 hours (best effort)	Delayed 15 days
Sensor Data Record (SDR)	IDPS Operational SDR	NOAA/STAR Ocean Color improved SDR
Ancillary Data	Predicted	Assimilated
Spatial Coverage	May have gaps	Complete

Standard VIIRS ocean color data Level 2 products (both near real time and science quality) include:

Normalized water-leaving (nL_w) radiance at five visible bands (nominal center wavelengths)
- M1 (410nm)
- M2 (443nm)
- M3 (486nm)
- M4 (551nm)
- I1 (638 nm)
- M5 (671nm)
Chlorophyll-a concentration
Diffuse attenuation coefficient at 490 nm (K_d490), and Diffuse attenuation coefficient of photosynthetically active radiation (K_dPAR)
QA score (an empirical product quality assessment )

See Table 2 for quick reference matrix of additional near real time VIIRS ocean color products. The Ocean Color Granule Selector and the new CoastWatch Data Portal are online tools to interactively preview, choose and download L2 granule files. Data files are in NetCDF4/CF but differ from past NOAA CoastWatch products in their use of hierarchical groups to store attributes, variables, and dimensions. The CoastWatch Utilities Software has been updated to work with these files. Additional metadata can be obtained using THREDDS services such as ISO or OPeNDAP.

Table 2. Quick reference matrix of near real time VIIRS ocean color products available from CoastWatch.
Product Description	Processing Level	Nominal Spatial Resolution	Chl-a	nLws	KdPAR	Kd490	Rrs (672)	Chlorophyll Fronts	True Color
Daily granule global swath	L2	750 m	X	X	X	X	X		X
Daily merged mapped CW regions*	L3	750 m	X		X	X	X		X
Daily merged global single file	L3	4 km	X	X	X	X
Daily 2-sensor merged global single file	L3	4 km	X			X
Daily merged global sectorized**	L3	750 m	X	X	X	X		X (3 sectors: UY, VY, WY)
7-day merged global single file	L3	4 km	X	X	X	X
7-day merged global sectorized**	L3	750 m	X	X	X	X
True monthly merged global single file	L3	4 km	X	X	X	X
True monthly merged global sectorized**	L3	750 m	X	X	X	X
61 day merged for CW regions*	L3	750 m	X				X
Anomaly for CW regions*	L3	750 m	X				X
Daily granule Mediterranean	L1b, L2	750 m	X	X	X	X
Daily merged mapped Mediterranean	L3	750 m	X		X	X
Daily merged mapped Australia	L3	750 m	X		X	X

*See Figure 1 for locations of CoastWatch regions

**See Figure 2 for description and identification of sectors.

***Under development for April 2019 release.

Figure 1. Seven heritage CoastWatch "CONUS" regions (clockwise from top right: Great Lakes, NorthEast, SouthEast, Caribbean, Gulf of America, Hawaii, West Coast).

Figure 2. Twenty-four sectors identified for file naming convention. Sectors enable downloads of select subset regions from global high resolution VIIRS ocean color science quality data.

Short Names

VIIRS_OC_NRT_L2

VIIRS_OC_NRT_L3

Product Families

Ocean Color

Algorithm Theoretical Basis Document (ATBD): Wang, M., X. Liu, L. Jiang and S. Son, "The VIIRS Ocean Color Products", Algorithm Theoretical Basis Document Version 1.0, 68 pp., June 2017.
Jiang, L. and M. Wang, 2013, "Identification of pixels with stray light and cloud shadow contaminations in the satellite ocean color data processing", Appl. Opt., 52, 6757-6770 (2013). doi:10.1364/AO.52.006757
Jiang, L. and M. Wang, 2014, "Improved near-infrared ocean reflectance correction algorithm for satellite ocean color data processing", Opt. Express, 22, 21657-21678 (2014). doi:10.1364/OE.22.021657
Mikelsons, K., M. Wang, L. Jiang, and M. Bouali, 2014, "Destriping algorithm for improved satellite-derived ocean color product imagery", Opt . Express, 22, 28058-28070 (2014). doi:10.1364/OE.22.028058
Son, S. and M. Wang, 2015, "Diffuse attenuation coefficient of the photosynthetically available radiation K_d(PAR) for global open ocean and coastal waters", Remote Sens. Environ., 159, 250-258 (2015). doi:10.1016/j.rse.2014.12.011
Sun, J. and M. Wang, 2014, "Visible Infrared Imaging Radiometer Suite solar diffuser calibration and its challenges using solar diffuser stability monitor", Appl. Opt ., 53, 8571-8584 (2014). doi:10.1364/AO.53.008571
Sun, J. and M. Wang, 2015, "On-orbit calibration of Visible Infrared Imaging Radiometer Suite reflective solar bands and its challenges using a solar diffuser", Appl. Opt ., 54, 7210-7223 (2015). doi:10.1364/AO.54.007210
Sun, J. and M. Wang, 2015, "On-orbit characterization of the VIIRS solar diffuser and solar diffuser screen", Appl. Opt ., 54, 236-252 (2015). doi:10.1364/AO.54.000236
Sun, J. and M. Wang, 2015, "Radiometric calibration of the Visible Infrared Imaging Radiometer Suite reflective solar bands with robust characterizations and hybrid calibration coefficients", Appl. Opt ., 54, 9331-9342 (2015). doi:10.1364/AO.54.009331
Sun, J. and M. Wang, 2016, "VIIRS reflective solar bands calibration progress and its impact on ocean color products", Remote Sens., 8, 194 (2016). doi:10.3390/rs8030194
Sun, J., M. Chu, and M. Wang, 2016, "Degradation nonuniformity in the solar diffuser bidirectional reflectance distribution function", Appl. Opt ., 55, 6001-6016 (2016). doi:10.1364/AO.55.006001
Sun, J., M. Wang, L. Tan, and L. Jiang, 2014, "An efficient approach for VIIRS RDR to SDR data processing", IEEE Geosci . Remote Sens. Lett ., 11, 2037-2041 (2014). doi:10.1109/LGRS.2014.2317553
Sun, J., X. Xiong, E. Waluschka, and M. Wang, 2016, "Suomi National Polar- Orbitting Partnership Visible Infrared Imaging Radiometer Suite polarization sensitivity analysis", Appl. Opt., 55, 7645-7658 (2016). doi:10.1364/AO.55.007645
Wang, M. and S. Son, 2016, "VIIRS -derived chlorophyll-a using the ocean color index method", Remote Sens. Environ ., 182, 141-149 (2016). doi:10.1016/j.rse.2016.05.001
Wang, M., 2016, "Rayleigh radiance computations for satellite remote sensing: accounting for the effect of sensor spectral response function", Opt. Express, 24, 12414-12429 (2016). doi:10.1364/OE.24.012414
Wang, M., P. Naik, and S. Son, 2016, "Out-of-band effects of satellite ocean color sensors", Appl. Opt ., 55, 2312-2323 (2016). doi:10.1364/AO.55.002312
Wang, M., W. Shi, L. Jiang, and K. Voss, 2016, "NIR- and SWIR-based on-orbit vicarious calibrations for satellite ocean color sensors", Opt. Express, 24, 20437-20453 (2016). doi:10.1364/OE.24.020437
Wang, M., W. Shi, L. Jiang, X. Liu, S. Son, and K. Voss, 2015, "Technique for monitoring performance of VIIRS reflective solar bands for ocean color data processing", Opt. Express, 23, 14446-14460 (2015). doi:10.1364/OE.23.014446
Wang, M., X. Liu, L. Tan, L. Jiang, S. Son, W. Shi, K. Rausch, and K. Voss, 2013, "Impacts of VIIRS SDR performance on ocean color products", J. Geophys . Res. Atmos., 118, 10347-10360 (2013). doi:10.1002/jgrd.50793
Xiong, X., J. Sun, J. Fulbright, Z. Wang, and J. Butler, 2015, "Lunar calibration and performance for S-NPP VIIRS reflective solar bands", IEEE Trans. Geosci . Remote Sens., 54, 1052-1061 (2015). doi:10.1109/TGRS.2015.2473665

Algorithm Theoretical Basis Document (ATBD) for VIIRS Ocean Color is currently in progress.
Related Algorithm Theoretical Basis Document (ATBD)
Wang, M. and X. Liu, "MODIS Ocean Color Products Using the SWIR Method", MODIS-SWIR Algorithm Theoretical Basis Document, 40 pp., NOAA Product System Development and Implementation (PSDI), February 2012.

Measurements

Chlorophyll-a Concentration

Diffuse Attenuation Coefficients

Normalized Water-Leaving Radiances

Ocean Color Quality Score

Processing Levels

Level 2

Level 3

Spatial Coverage

Global

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

~12-24 h

Spatial Resolution Groups

100m < 2km

2km+

Spatial Resolution Details

750m @ Nadir; ~1.7km at swath edge (granules) and 4 km

Platforms

NOAA

SNPP

Instruments

VIIRS

Processing Algorithms

MSL12

Data Providers

NOAA

NESDIS

STAR

Data Tool Links

Level-2:

CoastWatch Data Search Tool

Level-3:

CoastWatch Near Real-Time Search

Sample Filenames

VRSUCW_B2016304_171335_CB05_edgemask_chlora.hdf

HTTPS

Level-2:

S-NPP:

https://coastwatch.noaa.gov/pub/socd1/mecb/coastwatch/viirs/nrt/L2/

NOAA-20:

https://coastwatch.noaa.gov/pub/socd2/mecb/coastwatch/viirs/n20/nrt/L2/

THREDDS

Top Level Thredds:

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

Level-2 (granules, unprojected swath data) Global, daily, nominal 750 m resolution:

Level-3:

2-sensor daily merge, SNPP plus NOAA-20, global, ~4 km:

Chlorophyll-a
Diffuse Attenuation Coefficient (Kd490 and KdPAR)

Global, merged single file, ~4 km (SNPP, NOAA-20)

Chlorophyll-a: SNPP Daily; Weekly; NOAA-20 Daily; Weekly;
Diffuse Attenuation Coefficient (K_d(490) and K_d(PAR)): SNPP Daily; Weekly; NOAA-20 Daily; Weekly
Normalized Water Leaving Radiances (nLw’s, all bands): SNPP Daily; Weekly; NOAA-20 Daily; Weekly

Global, merged CW sector mapped files, ~750 m (see sector map below for THREDDS sector links)

Chlorophyll-a: SNPP Daily; Weekly; NOAA-20 Daily; Weekly
Diffuse Attenuation Coefficient (K_d(490) and K_d(PAR)): SNPP Daily; Weekly; NOAA-20 Daily; Weekly
Normalized Water Leaving Radiances (nLw’s, all bands): SNPP Daily; Weekly; NOAA-20 Daily; Weekly

Sector Map of S-NPP/NOAA-20 VIIRS 750m Sectors:

Select a sector and the corresponding THREDDS links will display below the sector map.

THREDDS product links

True Color OLCI Sentinel-3A/B

jebidiah.jeffery — Thu, 16 Dec 2021 15:47:25 +0000

True Color OLCI Sentinel-3A/B

OLCI true color products are generated from atmospheric corrected rho_s bands. Data are available in mapped 300m regions in near real-time CoastWatch HDF format and are compatible with the CoastWatch Utilities.

jebidiah.jeffery Thu, 12/16/2021 - 10:47

Sentinel-3 is a multi-instrument mission to measure sea- and land-surface temperature, ocean and land color and sea-surface topography. Sentinel-3A was launched on 16 February 2016. Sentinel 3B was launched successfully on 25 April 2018 with the same instruments.

The Ocean and Land Colour Instrument (OLCI) is based on heritage from Envisat’s Medium Resolution Imaging Spectrometer (MERIS to measure visible and thermal infrared radiances, i.e., true color, ocean color and derived parameters such as chlorophyll, total suspended matter (TSM), diffuse attenuation coefficient at 490 nm (Kd(490)), absorption at 443 nm (a(443). OLCI has 21 bands at wavelengths from 400 nm to 1020 nm (400, 412, 442, 490, 510, 560, 620, 665, 674, 681, 709, 754, 779, 865, 885, 1024 nm), a spatial resolution of 300 m and a swath width of 1270 km.

See the ESA Sentinel-3 or EUMETSAT websites for more information: http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-3/Introducing_Sentinel-3 or https://www.eumetsat.int/sentinel-3

OLCI Level 1b (e.g., true color) and ocean color Level 2 data (e.g., radiances, chlorophyll, etc.) are generated by EUMETSAT (https://www.eumetsat.int/sentinel-3) and served by CoastWatch. CoastWatch also generates L3 mapped products for US Coastal regions.

latitude	degrees
longitude	degrees
rhos_490
rhos_560
rhos_620
graphics

See the EUMETSAT ocean data product pages for more information and links to specific documents: https://www.eumetsat.int/website/home/Data/Products/Ocean/index.html

Short Names

OLCI True Color

Temporal Start Date

October 20, 2016

Temporal Coverage

Near real-time data beginning:
Level-1 released 20 October 2016

Product Families

True Color Imagery

Measurements

True Color Imagery (RGB)

Processing Levels

Level 1

Level 3

Spatial Coverage

Global

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

8 hours

Spatial Resolution Groups

100m < 2km

Spatial Resolution Details

300 m

Platforms

Sentinel-3

Instruments

OLCI

Data Providers

Copernicus

NOAA

NESDIS

STAR

CoastWatch

Data Tool Links

CoastWatch Near Real-time Search

CoastWatch Granule Selector Tool (L2 unmapped)

Sample Filenames

S3A_OL_1_EFR____20160831T093739_20160831T094039_20160831T114446_*.SEN3.tar
OLCLCW.I2017158.153647.true300.hdf
OLCKCW_I2021195_C1_181844_CC05_closest_true300.hdf

True Color VIIRS S-NPP/NOAA-20

jebidiah.jeffery — Thu, 18 Nov 2021 16:58:14 +0000

True Color VIIRS S-NPP/NOAA-20

True color bands are provided from VIIRS on both S-NPP and NOAA-20 VIIRS spacecraft. These top-of-atmosphere products are generated from the emissive bands (M-bands) for wavelengths corresponding to Red, Green, and Blue and are provided in CoastWatch HDF and PNG daily composite mapped regions

jebidiah.jeffery Thu, 11/18/2021 - 11:58

File variable contents include the following and are compatible with the CoastWatch Utilities:

EV_BandM3	mW cm^-2 um^-1 sr^-1
EV_BandM4	mW cm^-2 um^-1 sr^-1
EV_BandM5	mW cm^-2 um^-1 sr^-1
latitude	degrees
longitude	degrees
graphics

Short Names

VIIRS_L3

Temporal Coverage

Near real-time + 3 days

Product Families

True Color Imagery

Measurements

True Color Imagery (RGB)

Processing Levels

Level 3

Spatial Coverage

Global

CoastWatch US Regions

Latency Groups

0 Hours <= 24 Hours (NRT)

Latency Details

Near real-time + 3 days

Spatial Resolution Groups

2km+

Spatial Resolution Details

2km (2.3163 km or 0.02°)

Platforms

NOAA

SNPP

Instruments

VIIRS

Data Providers

Copernicus

NOAA

CoastWatch

Data Tool Links

CoastWatch Near Real-time Search

CoastWatch Granule Selector Tool (L2 unmapped)

Seviri (MSG) - Geostationary - Level 3

jebidiah.jeffery — Thu, 21 Oct 2021 16:09:05 +0000

Seviri (MSG) - Geostationary - Level 3

jebidiah.jeffery Thu, 10/21/2021 - 12:09

The National Oceanic and Atmospheric Administration's Office of Satellite Data Processing and Distribution are generating operational sea surface temperature (SST) retrievals from the Geostationary Operational Environmental Satellites GOES-East and West. The generation of SSTs began with GOES-8 in 2000 and has continued to be generated through GOES-15. They are situated at longitude 135oW and 75oW, respectively, thus allowing the acquisition of high-temporal-resolution SST retrievals. The algorithm calculates SST by utilizing a fully physical retrieval scheme based on modified total least squares (MTLS, Koner et al., 2015) and a probabilistic (Bayesian) approach for cloud masking (Merchant et al., 2005). A more detailed description can be described in the Algorithms and Bayesian Cloud Mask section below.

The GOES-13 and 15 imagers observe both northern and southern hemisphere sectors every half an hour. These 5-band (0.6, 3.9, 6.7, 10.7, 13.3 µm) images are processed to retrieve SST retrievals at 4-km resolution. The 3.9, 10.7 & 13.3 µm channels are used to determine the SST, while the 0.6, 3.9 and 10.7 µm channels are used to detect cloud contamination. Individual sectors are output as GHRSST Level-2 P SST product files, and retrievals are also remapped, averaged and composited hourly into single-byte per pixel "flat" binary files and posted to a server for user access. The retrievals are available approximately 90 minutes after the nominal epoch of the SST determinations. 3-hour and 24-hour composite files are also made available. CoastWatch Regional Imagery is generated every three hours by combining the 1-hourly SST images for these areas.

The same algorithm approach is used to generate SSTs from Meteosat-11 data (centered at 0¡ longitude), taking a sub-selection of channels from the SEVIRI instrument that corresponds with those of the GOES-Imager. The main differences for the end-user are that the Meteosat SST products are "full-disk", every 15 minutes, and have a resolution at the nadir point of ~3-km, at least for the GHRSST L2P data.

Algorithms

Prior to the implementation of the fully physical retrieval algorithm with GOES-13 and 15, the algorithm retrieval schemes were still based on Radiative Transfer Modeling (RTM), generating skin temperatures rather than bulk temperatures. The form of the prior GOES operational SST equation was:

Short Names

GOES_L3

Temporal Coverage

Near real-time + 3 days

Product Families

Sea Surface Temperature

Koner, P. K., A. Harris, and E. Maturi. "A Physical Deterministic Inverse Method for Operational Satellite Remote Sensing: An Application for Sea Surface Temperature Retrievals." IEEE Transactions on Geoscience and Remote Sensing 53, no. 11 (November 2015): 5872-88. doi:10.1109/TGRS.2015.2424219.
Kurihara, Yukio, Hiroshi Murakami, and Misako Kachi. "Sea Surface Temperature from the New Japanese Geostationary Meteorological Himawari-8 Satellite." Geophysical Research Letters 43, no. 3 (February 16, 2016): 2015GL067159. doi:10.1002/2015GL067159.
Maturi, Eileen, Andy Harris, Jon Mittaz, Chris Merchant, Bob Potash, Wen Meng, and John Sapper. "NOAA's Sea Surface Temperature Products From Operational Geostationary Satellites." Bulletin of the American Meteorological Society 89, no. 12 (December 1, 2008): 1877-88. doi:10.1175/2008BAMS2528.1.
Merchant, Christopher J., and Pierre Le Borgne. "Retrieval of Sea Surface Temperature from Space, Based on Modeling of Infrared Radiative Transfer: Capabilities and Limitations." Journal of Atmospheric and Oceanic Technology 21, no. 11 (November 1, 2004): 1734-46. doi:10.1175/JTECH1667.1.
Merchant, C. J., A. R. Harris, E. Maturi, and S. Maccallum. "Probabilistic Physically Based Cloud Screening of Satellite Infrared Imagery for Operational Sea Surface Temperature Retrieval." Quarterly Journal of the Royal Meteorological Society 131, no. 611 (October 1, 2005): 2735-55. doi:10.1256/qj.05.15.
Merchant, C. J., A. R. Harris, E. Maturi, O. Embury, S. N. MacCallum, J. Mittaz, and C. P. Old. "Sea Surface Temperature Estimation from the Geostationary Operational Environmental Satellite-12 (GOES-12)." Journal of Atmospheric and Oceanic Technology 26, no. 3 (March 1, 2009): 570-81. doi:10.1175/2008JTECHO596.1.
Wick, Gary A., John J. Bates, and Donna J. Scott. "Satellite and Skin-Layer Effects on the Accuracy of Sea Surface Temperature Measurements from the GOES Satellites." Journal of Atmospheric and Oceanic Technology 19, no. 11 (November 1, 2002): 1834-48. doi:10.1175/1520-0426(2002)019<1834%3ASASLEO>2.0.CO%3B2 (2002).
Wu, Xiangqian, W. Paul Menzel, and Gary S. Wade. "Estimation of Sea Surface Temperatures Using GOES-8/9Radiance Measurements." Bulletin of the American Meteorological Society 80, no. 6 (June 1999): 1127-38.