Chlorophyll (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-
recent, Daily

Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, DINEOF Gap-Filled, mg m^-3)


Chlorophyll (Gap-filled DINEOF), NOAA S-NPP NOAA-20, VIIRS, Near Real-Time, Global 9km, 2020-present,  Daily

Visible and Infrared Imager/Radiometer Suite/Suomi-NPP NOAA-20 (VIIRS) Level-3 (WW00), Chlorophyll, DINEOF, Gap filled, MSL12,  Global, Daily, processed by NOAA.  EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, DINEOF Gap-Filled, mg m^-3)


Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, Global 4km, Level 3, 2017-present,  Daily

Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Near Real-Time, Chlorophyll, Global, Daily, processed by NOAA. EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


Chlorophyll, NOAA S-NPP VIIRS, Near Real-Time, Global 4km, Level 3, 2017-present,  Weekly

Visible and Infrared Imager/Radiometer Suite/Suomi-NPP (VIIRS) Level-3 (WW00), Geometric Mean Baseline of Chlorophyll, Near Real-Time, Global, Weekly, processed by NOAA. EXPERIMENTAL.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, OC3 Algorithm, mg m^-3)


Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)


Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)


Chlorophyll, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, Chlorophyll, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
chlor_a (Chlorophyll Concentration, Default Algorithm, mg m^-3)


Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite)

This dataset has Level 3, Standard Mapped Image, 4km, chlorophyll-a concentration data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
chlorophyll (Mean Chlorophyll a Concentration, mg m-3)


Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite)


Chlorophyll-a, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite)


Diffuse Attenuation K490, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite)

This dataset has monthly composites of Level 3, Standard Mapped Image, 4km, Diffuse Attenuation Coefficient at 490 nm Wavelength data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
k490 (Diffuse Attenuation Coefficient K490, m-1)


Diffuse Attenuation K490, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite)


Diffuse Attenuation K490, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite)


ESA CCI Ocean Colour Product (CCI ALL-v5.0-8DAY), 0.04166666°, 1997-present

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)
Rrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)
Rrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)
water_class1 (Mean of normalised water class 1 membership over the compositing period)
water_class2 (Mean of normalised water class 2 membership over the compositing period)
water_class3 (Mean of normalised water class 3 membership over the compositing period)
... (83 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v5.0-MONTHLY), 0.04166666°, 1997-present

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
Rrs_510 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm., sr-1)
Rrs_560 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm., sr-1)
Rrs_665 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm., sr-1)
water_class1 (Mean of normalised water class 1 membership over the compositing period)
water_class2 (Mean of normalised water class 2 membership over the compositing period)
water_class3 (Mean of normalised water class 3 membership over the compositing period)
... (83 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v6.0-5DAY), 0.041666668°, 1997-present

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 5 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
... (86 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v6.0-8DAY), 0.041666668°, 1997-present

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are 8 day composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
... (86 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v6.0-DAILY), 0.041666668°, 1997-present

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)
MODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)
OLCI_A_nobs (Count of the number of observations from the OLCI (Sentinel-3a) sensor contributing to this bin cell)
OLCI_B_nobs (Count of the number of observations from the OLCI (Sentinel-3b) sensor contributing to this bin cell)
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
... (86 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v6.0-MONTHLY), 0.041666668°, 1997-2022

Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are monthly composites of merged sensor (MERIS, Moderate Resolution Imaging Spectroradiometer (MODIS) Aqua, Sea-Wide Field-of-View Sensor (SeaWiFS) Local Area Coverage (LAC) & Global Area Coverage (GAC), Visible and Infrared Imager/Radiometer Suite (VIIRS), OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2014; at the third stage Sentinel-3A OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30;  at the fourth stage Sentinel-3B OLCI was bias corrected against already corrected Sentinel-3A OLCI, for overlap period 2018-07-01 to 2021-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS POLYMER (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with POLYMER.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's SNAP.  Derived products were generally computed with the standard algorithms through SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated according to Jackson et al. (in prep).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Rrs_412 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_412_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm., sr-1)
Rrs_443 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_bias (Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_443_rmsd (Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm., sr-1)
Rrs_490 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm., sr-1)
... (86 more variables)


Fluorescence Line Height, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite)

This dataset has monthly composites of Level 3, Standard Mapped Image, 4km, chlorophyll fluorescence data from NASA's Aqua Spacecraft, which gives insight into the physiology of phytoplankton in the ocean. When phytoplankton are under stress, the rate at which they fluoresce can be decoupled from the rate of photosynthetic productivity. Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft. This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
cflh (Normalized Fluorescence Line Height, W m-2 um-1 sr-1)


Fluorescence Line Height, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite)


Fluorescence Line Height, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite)


Ice Classification, Metop-C Advanced SCATterometer (ASCAT), 4km, North Pole (Arctic), Daily

The ASCAT Ice Classification system takes Enhanced Resolution (4.5 km x 4.5 km) ASCAT Normalized Radar Cross Section (NRCS) and in a two-step process creates an Ice Classification mask with 3 classes (seasonal, perennial, mixed). Primary Input data Enhanced Resolution (4.5 km x 4.5 km) ASCAT Normalized Radar Cross Section (NRCS) created by the Scatterometer Image Reconstruction (SIR) algorithm. Developed by David Long at BYU. National Ice Center's 4 km Interactive Snow and Ice Mask (IMS). Warning: Microwave-based ASCAT sea ice classification may not be reliable during Northern summer months or melt periods (approximately May to September) because melting snow and ice have a distinct microwave radar return that may prevent accurate identification of ice type.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceClass


Ice Concentration, Daily, GCOM-W1 AMSR2, Antarctic, 10km, NRT, Past 3 Weeks

This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.
            These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).
            NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.
            The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).
            Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).
            Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.
            The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for South Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.
            This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.
            For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceConc (NASA Team 2 Ice Concentration (Fraction), 1)
Flags (Quality Flags, 1)
graphics (graphics overlay planes)

DOC/NOAA/NESDIS/OSPO > Office of Satellite and Product Operations, NESDIS, NOAA


Ice Concentration, Daily, GCOM-W1 AMSR2, Arctic, 10km, NRT, Past 3 Weeks

This dataset is a level 3, daily, 10km, polar stereographic mapped composite of sea ice concentration using data from the GCOM-1 satellite AMSR-2 microwave sensor.
            These L3 composites are generated from level 2 data provided by NOAA OSPO; NOGAPS algorithm developed by NOAA STAR (Paul Chang, Lead).
            NOAA CoastWatch obtains L2 from OSPO and generates a L3 daily merged (composite) and maps to polar stereographic projection for routine distribution.
            The OSPO/STAR L2 product uses the GCOM-W1 AMSR-2 Algorithm Software Processor (GAASP) which takes the full orbital JAXA L1B data via NASA, applies brightness temperature bias corrections, assigns an RFI flag, performs internal reformatting, and then generates L2 products from the NOAA Operational GCOM-W1 AMSR-2 Products System Algorithm (NOGAPS).
            Platform/Sensor Details: The second Advanced Microwave Scanning Radiometer 2 (AMSR-2) on JAXA's Global Climate Observation Mission - Water 1 (GCOM-W1).
            Temporal coverage: Daily composites and 4-day rolling merge composites are produced daily with a latency of 12-24 hours.
            The composites have a 10 km spatial resolution and are mapped to Polar Stereographic projections for North Pole. The AMSR-2 Microwave sensor is not impacted by clouds and serves as a full coverage dataset that supplements the NOAA VIIRS infra-red 750m data.
            This L3 dataset is originally served on the STAR THREDDS server, PolarWatch connects to the dataset via the STAR ERDDAP server.
            For more information on the dataset and access servers visit: https://coastwatch.noaa.gov/cw/satellite-data-products/sea-ice.html.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceConc (NASA Team 2 Ice Concentration (Fraction) - primary product, 1)
Flags (Quality Flags, 1)
graphics (graphics overlay planes)


Ice Concentration, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily

Enterprise Ice Concentration/ Ice Mask/ Ice Surface Temperature Products

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceConc (Ice Concentration, 1)


Ice Concentration, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Concentration, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily


Ice Concentration, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily


Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Antarctic, 750m, Daily, Past 3 Weeks


Ice Concentration, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


Ice Surface Temperature, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily

Enterprise Ice Concentration/ Ice Mask/ Ice Surface Temperature Products

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceSrfTemp (Ice Surface Temp, Kelvin(K))


Ice Surface Temperature, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Surface Temperature, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily


Ice Surface Temperature, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily


Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily


Ice Surface Temperature, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily

Enterprise Ice Thickness/ Age Products

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceThickness (Ice thickness, meter)


Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily


Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily


Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (North), Daily 4-day Composite


Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily


Ice Thickness, NOAA-20 VIIRS, Near Real-Time, Polar Stereographic (South), Daily 4-day Composite


IMS Snow and Ice Analysis, Arctic, 4km, 2004 - Present, Daily

This file contains a map of snow cover and ice cover for the Northern Hemisphere produced by the Interactive Multisensor Snow and Ice Mapping System (IMS). The map is nowcasted to be valid at the moment specified by the time variable. The input data used to generate the map originates between the time_coverage_start and time_coverage_end global attributes. Analysts at the United States National Ice Center (USNIC) use a variety of geostationary and polar orbiting satellite imagery, derived products, in situ, and other data sources to interactively create the map. The system has produced daily analyses from February 1997 to Dec 2014, and twice daily analyses since.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
IMS_Surface_Values (IMS maps of 0: no data, 1:open water, 2:land, 3:sea/lake ice, 4:snow cover for the Northern Hemisphere)


Kd490 (Gap-filled DINEOF), NOAA S-NPP NOAA-20 VIIRS and Copernicus S-3A OLCI, Science Quality, Global 9km, 2018-recent, Daily

Visible and Infrared Imager/Radiometer Suite/Suomi-NPP and NOAA-20 (VIIRS) and Sentinel-3A OLCI DINEOF gap filled L4 data. NOAA National Environmental Satellite, Data, and Information Service (NESDIS) STAR data. Sentinel-3A courtesy of Copernicus Program

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)


Kd490, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, Kd490, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)


Kd490, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, Kd490, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)


Kd490, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, Kd490, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_490 (Diffuse attenuation coefficient at 490 nm, kd2 algorithm, m^-1)


KdPAR, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, KdPAR, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_par (K(PAR) Lee (1st optical depth), m^-1)


KdPAR, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, KdPAR, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_par (K(PAR) Lee (1st optical depth), m^-1)


KdPAR, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, KdPAR, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
kd_par (K(PAR) Lee (1st optical depth), m^-1)


Lat-Lon Grid, Extended AVHRR Polar Pathfinder APP-X NCEI Climate Data Record V2, Arctic

summary

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [columns][rows]):
latitude (degrees_north)
longitude (degrees_east)


Latest Baseline of IceThickness from NOAA-20 VIIRS

Latest Baseline of IceThickness from NOAA-20 Visible and Infrared Imager/Radiometer Suite (VIIRS)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][rows][cols]):
IceThickness (Ice thickness, meter)
graphics (graphics overlay planes)


Latitude and Longitude Grids Corresponding to Y-Grids and X-Grids in EASE-2 Projection Used in NESDIS Sea Ice Data Products, Arctic, 1km, UW-CIMSS

This dataset includes latitude and longitude grids that correspond to the Y-grid and X-grid used in the NESDIS sea ice products in the Arctic. Presented in the EASE-2 (Equal-Area Scalable Earth-2) projection at a 1km resolution, this dataset serves as ancillary data to the sea ice data products in the same projection.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [rows][cols]):
longitude (degrees_east)
latitude (degrees_north)

Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison


Latitude and Longitude grids corresponding to ygrids and xgrids in EASE-2 Projection used in NESDIS sea ice data products. Antarctic, 1km, UW-CIMSS

This dataset includes latitude and longitude grids that correspond to the Y-grid and X-grid used in the NESDIS sea ice products in the Antarctic. Presented in the EASE-2 (Equal-Area Scalable Earth-2) projection at a 1km resolution, this dataset serves as ancillary data to the sea ice data products in the same projection.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [rows][cols]):
longitude (degrees_east)
latitude (degrees_north)


Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.01°, 2002-present, Daily

A daily Sea Surface Temperature (SST) Anomaly product created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).

The data for the most recent 4 days is usually revised everyday.  The data for other days is sometimes revised.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstAnom (sea surface temperature anomaly, degree_C)
mask (sea/land field composite mask)

NOAA NMFS SWFSC ERD and NOAA NESDIS CoastWatch WCRN


Multi-scale Ultra-high Resolution (MUR) SST Analysis Anomaly fv04.1, Global, 0.01°, 2002-present, Monthly

This monthly Sea Surface Temperature (SST) Anomaly product is a simple mean of the daily anomaly product created by ERD for a given month.  The daily anomalies were created by ERD based on JPL MUR's climatology (2003-2014) of the Jet Propulsion Laboratory's (JPL) Multi-scale Ultra-high Resolution (MUR), merged, multi-sensor L4 v4.1 Foundation SST analysis product (part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sstAnom (Sea Surface Temperature Anomaly Monthly Mean, degree_C)
mask (sea/land field composite mask)


Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Daily

This is a merged, multi-sensor L4 Foundation Sea Surface Temperature (SST) analysis product from Jet Propulsion Laboratory (JPL). This daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data set, Version 4.1, is produced at JPL under the NASA MEaSUREs program. For details, see https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 . This dataset is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project. The data for the most recent 7 days is usually revised everyday.  The data for other days is sometimes revised.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (Analysed Sea Surface Temperature, degree_C)
analysis_error (Estimated Error Standard Deviation of analysed_sst, degree_C)
mask (Sea/Land Field Composite Mask)
sea_ice_fraction (Sea Ice Area Fraction, 1)


Multi-scale Ultra-high Resolution (MUR) SST Analysis fv04.1, Global, 0.01°, 2002-present, Monthly

A monthly mean Sea Surface Temperature (SST) product created by NOAA NMFS SWFSC ERD based on the daily, global, Multi-scale, Ultra-high Resolution (MUR) Sea Surface Temperature (SST) 1-km data set, Version 4.1, which is produced at the NASA Jet Propulsion Laboratory (JPL) under the NASA MEaSUREs program. For details of the source dataset, see https://podaac.jpl.nasa.gov/dataset/MUR-JPL-L4-GLOB-v4.1 . The source dataset is part of the Group for High-Resolution Sea Surface Temperature (GHRSST) project.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sst (Sea Surface Temperature Monthly Mean, degree_C)
nobs (Number of Observations)
mask (Sea/Land Field Composite Mask)

NOAA ERD and CoastWatch West Coast Regional Node


Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 10 m Wind, Lon+/-180

Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
wnd_ucmp_height_above_ground (Eastward Wind, m s-1)
wnd_vcmp_height_above_ground (Northward Wind, m s-1)


Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 20 m Wind, Lon+/-180


Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, 500 hPa Height, Lon+/-180

Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][isobaric][latitude][longitude]):
geop_ht_isobaric (Geopotential Height (500 hPa), gpm)


Navy Global Environmental Model (NAVGEM), 0.5 degree, 2013-present, Pressure MSL, Lon+/-180

Navy Global Environmental Model (NAVGEM) is a global numerical weather prediction computer model. It replaced NOGAPS as the prime model in the middle of February 2013 at the Navy Fleet Numerical Meteorology and Oceanography Center (FNMOC) Weather model synoptic site. [Wikipedia]

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
pres_reduced_msl (Pressure (adjusted to Mean Sea Level), hPa)


nLw410, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw410, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized water-leaving radiance at 410 nm, W m^-2 um^-1 sr^-1)


nLw410, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw410, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized water-leaving radiance at 410 nm, W m^-2 um^-1 sr^-1)


nLw410, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw410, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_410 (Normalized water-leaving radiance at 410 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw443, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw443, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_443 (Normalized water-leaving radiance at 443 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw486, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw486, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_486 (Normalized water-leaving radiance at 486 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw551, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw551, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_551 (Normalized water-leaving radiance at 551 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Daily

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Daily composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Monthly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Monthly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


nLw671, NOAA S-NPP VIIRS, Science Quality, Global 4km, Level 3, 2012-present, Weekly

Level-3 Standard Mapped Image (SMI), Global, 4km, nLw671, Weekly composite data from the Visible and Infrared Imager/Radiometer Suite (VIIRS). These are science quality data with a 15-day latency. The data, processed by the NOAA/STAR Ocean Color Team, are produced from MSL12 v1.2 using OC-SDR v04 and were release by CoastWatch as of 2017-08-07. VIIRS is a multi-disciplinary instrument that flies on the Suomi-NPP (National Polar-orbiting Partnership) satellite and is the successor to MODIS. Suomi-NPP is the initial spacecraft in the JPSS (Joint Polar Satellite Systems) series of spacecraft. JPSS is our Nation's next generation polar-orbiting operational environmental satellite system. JPSS is a collaborative program between NOAA and its acquisition agent NASA.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
nLw_671 (Normalized water-leaving radiance at 671 nm, W m^-2 um^-1 sr^-1)


NOAA CoastWatch, Sea Surface Height Anomalies and Geostrophic Currents from Altimetry, Global, 2017-present, EXPERIMENTAL

The altimetry data are from RADS (http://rads.tudelft.nl/rads/rads.shtml), the Radar Altimetry Database System, first developed at Delft University of Technology, now also at the NOAA and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The RADS data for each mission is updated with state of the art corrections for tides, atmospheric path delay, etc. Because they are all computed consistently between the various missions, this avoids the possibility of introducing biases and drifts because of the different implementation of the various corrections by different agencies. The goals of RADS are to provide a homogenous dataset of sea level anomalies, wave heights, and wind speeds, along with database selection and analysis tools.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)
ugos (Absolute Geostrophic Velocity: Zonal Component, m s-1)
vgos (Absolute Geostrophic Velocity: Meridian Component, m s-1)

NOAA/NESDIS Center for Satellite Applications and Research


Normalized Radar Cross Section, SAR Composite, Near Real-Time, 1km, North Pole, Daily

This file contains a composite of Synthetic Aperture Radar (SAR) Normalized Radar Cross Section (NRCS) images covering the Arctic for a period of one day. The files are produced in SAROPS (SAR Operational Product System) by the Water Surface Conditions/Sea Surface Roughness group within the NOAA STAR Satellite Oceanography and Climatology Division. Data from the following C-Band SAR systems are included: Sentinel-1A/B, RADARSAT-2, and RADARSAT Constellation Mission. NRCS values have been calibrated with values given by the SAR data provider. Daily coverage may vary due to limitations in data availability.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][level][y][x]):
NRCS (Normalized Radar Cross Section, 1)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (1 Day Composite)

This dataset has Level 3, Standard Mapped Image, 4km, photosynthetically available radiation (PAR) data from NASA's Aqua Spacecraft.  Measurements are gathered by the Moderate Resolution Imaging Spectroradiometer (MODIS) carried aboard the spacecraft.  This is Science Quality data.  This is the August 2015 version of this dataset.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
par (Photosynthetically Available Radiation, R. Frouin, einstein m-2 day-1)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (8 Day Composite)


Photosynthetically Available Radiation, Aqua MODIS, NPP, L3SMI, Global, 4km, Science Quality, 2003-present (Monthly Composite)


Polar Stereographic Grid Cell Area Values of 25km gridded data sets , Polar Stereographic (North), Ancillary Data

This data set provides the total on-Earth surface area values at the center of each grid cell of 25km polar stereographic gridded data sets (North) distributed by The National Snow and Ice Data Center

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
cell_area (Grid Cell area, meters^2)

NASA National Snow and Ice Data Center Distributed Active Archive Center


Polar Stereographic Grid Cell Area Values of 25km gridded data sets , Polar Stereographic (South), Ancillary Data

This data set provides the total on-Earth surface area values at the center of each grid cell of 25km polar stereographic gridded data sets (South) distributed by The National Snow and Ice Data Center

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [y][x]):
cell_area (Grid Cell area, meters^2)


Sea Ice Concentration Lat-Lon Grid, NOAA/NSIDC Climate Data Record, Northern Hemisphere, 25km

This ERDDAP data set provides the latitude - longitude grid for the Arctic (Northern Hemisphere) NSIDC passive microwave sea ice concentration climate data record (CDR) datasets distributed via the PolarWatch ERDDAP. The grid used for these datasets is the NSIDC polar stereographic grid with 25 x 25 km grid cells. The input netCDF files from NSIDC contain data variables and reference latitude and longitude variables. These are provided in this ERDDAP as separate datasets based on system architecture requirements.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [ygrid][xgrid]):
longitude (degrees_east)
latitude (degrees_north)

NSIDC > National Snow and Ice Data Center, NOAA


Sea Ice Concentration Lat-Lon Grid, NOAA/NSIDC Climate Data Record, Southern Hemisphere, 25km

This data set provides a Climate Data Record (CDR) of sea ice concentration from passive microwave data. It provides a consistent, daily and monthly time series of sea ice concentrations from 09 July 1987 through the most recent processing for both the north and south polar regions. In addition, three other sea ice concentration products are included with the CDR that extend the sea ice measurements back to 26 October 1978. However, these three products are not included in the official CDR because processing the older data in a way that follows the standards of a CDR is not currently possible. All data are on a 25 km x 25 km grid. Variables containing standard deviation, quality flags, and projection information are also included.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [ygrid][xgrid]):
latitude (degrees_north)
longitude (degrees_east)


Sea Ice Concentration, AMSR2/VIIRS, Antarctic, 1km, Blended, UW-CIMSS, 2023-present, Daily

This is a Blended Sea Ice Concentration product that combines clear-sky Visible and Infrared Imager/Radiometer Suite (VIIRS) ice concentration from NOAA-20 with that comes from the AMSR2 NASA Team-2 10 km product. The output is remapped into 1-km EASE2 grid cells with a nominal resolution of at least 5-km. The NDE cloud mask is used to screen out cloudy VIIRS pixels. When the cloud mask for a data point is determined to be confidently clear, the output concentration in the blended product is 100% VIIRS. Otherwise, the Best Linear Unbiased Estimator equation is used to determine the output concentration (see https://www.sciencedirect.com/topics/mathematics/linear-unbiased-estimator#:~:text=Under%20assumptions%20V%20and%20VI,(Gauss%E2%80%93Markov%20theorem for more information on method).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][cols][rows]):
IceConc (Sea Ice Concentration, Blended AMSR2 and VIIRS, percent)

Cooperative Institute for Meteorological Studies, University of Wisconsin at Madison


Sea Ice Concentration, AMSR2/VIIRS, Arctic, 1km, Blended, UW-CIMSS, 2023-present, Daily


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)

NSIDC > National Snow and Ice Data Center


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Southern Hemisphere, 25km, Science Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperatures at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Southern Hemisphere Sea Ice Concentration temporal interpolation flags)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V4, Southern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC).  This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G02202/versions/4/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Southern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science
Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Northern Hemisphere, 25km, Science Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at NSIDC. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
cdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)
cdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science
		Quality, 1978-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_monthly (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
cdr_seaice_conc_monthly_stdev (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation, 1)
cdr_seaice_conc_monthly_qa_flag (NOAA/NSIDC CDR of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QA flags, 1)


Sea Ice Concentration, NOAA/NSIDC Climate Data Record V5, Southern Hemisphere, 25km, Science
Quality, 1978-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team (NT) algorithm and the Bootstrap (BT) algorithm. The individual algorithms are used to process and combine brightness temperature data at NSIDC. This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present, which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 km x 25 km grid cells and are available in NetCDF file format. Each file contains a variable with the CDR concentration values as well as variables that hold the raw NT and BT processed concentrations for reference. Variables containing standard deviation, quality flags, and projection information are also included. Files that are from 2013 to the present also contain a prototype CDR sea ice concentration based on gridded TBs from the Advanced Microwave Scanning Radiometer 2 (AMSR2) onboard the GCOM-W1 satellite.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][y][x]):
cdr_seaice_conc_interp_spatial_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration spatial interpolation flags, 1)
cdr_seaice_conc_qa_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration QA flags, 1)
cdr_seaice_conc_interp_temporal_flag (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration temporal interpolation flags, 1)
cdr_seaice_conc (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration, 1)
cdr_seaice_conc_stdev (NOAA/NSIDC CDR of Passive Microwave Sea Ice Concentration Source Estimated Standard Deviation, 1)


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Northern Hemisphere, 25km, Near Real-Time, 2021-Present, Daily

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers, currently the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to extend a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from the end of the NOAA/NSIDC Climate Data Record of Passive Microwave Sea Ice Concentration Version 4 dataset which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G10016/versions/2/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is slightly different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc (NOAA/NSIDC Climate Data Record of Passive Microwave Daily Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc (Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration QC flags)
spatial_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration spatial interpolation flags)
stdev_of_cdr_seaice_conc (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)
temporal_interpolation_flag (Passive Microwave Daily Northern Hemisphere Sea Ice Concentration temporal interpolation flags)

NSIDC > National Snow and Ice Data Center


Sea Ice Concentration, NOAA/NSIDC NRT Climate Data Record V2, Northern Hemisphere, 25km, Near Real-Time, 2021-Present, Monthly

This data set provides a passive microwave sea ice concentration climate data record (CDR) based on gridded brightness temperatures (TBs) from the Defense Meteorological Satellite Program (DMSP) series of passive microwave radiometers: the Nimbus-7 Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager/Sounder (SSMIS). The sea ice concentration CDR is an estimate of sea ice concentration that is produced by combining concentration estimates from two algorithms developed at the NASA Goddard Space Flight Center (GSFC): the NASA Team algorithm and the Bootstrap algorithm. The individual algorithms are used to process and combine brightness temperature data at National Snow and Ice Data Center (NSIDC). This product is designed to provide a consistent time series of sea ice concentrations (the fraction, or percentage, of ocean area covered by sea ice) from November 1978 to the present which spans the coverage of several passive microwave instruments. The data are gridded on the NSIDC polar stereographic grid with 25 x 25 km grid cells, and are available in Network Common Data Format (NetCDF) file format. Each file contains a variable with the CDR concentration values as well as variables that hold the NASA Team and Bootstrap processed concentrations for reference Variables containing standard deviation, quality flags, and projection information are also included. Data are available from NSIDC via FTP see https://nsidc.org/data/G10016/versions/2/. Data are also distributed via the PolarWatch ERDDAP at https://polarwatch.noaa.gov/erddap. Note that the data format available through PolarWatch is slightly different from the NSIDC FTP NetCDF files. The PolarWatch data server stores projection information as global attributes (with the prefix grid_mapping) instead of as a variable; and the timestamp is served in different units (seconds since 1970).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][ygrid][xgrid]):
cdr_seaice_conc_monthly (NOAA/NSIDC Climate Data Record of Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration, 1)
melt_onset_day_cdr_seaice_conc_monthly (Monthly Day of Snow Melt Onset Over Sea Ice, 1)
nsidc_bt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by Bootstrap algorithm processed by NSIDC, 1)
nsidc_nt_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration by NASA Team algorithm processed by NSIDC, 1)
qa_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration QC flags)
stdev_of_cdr_seaice_conc_monthly (Passive Microwave Monthly Northern Hemisphere Sea Ice Concentration Source Estimated Standard Deviation)