These data are part of the U.S. Antarctic Marine Living Resources (AMLR) Program Operation FREEBYRD. FREEBYRD is a long term program to replace ship-based surveys with autonomous vehicles to estimate Antarctic krill biomass in support of the Convention for the Conservation of Antarctic Marine Living Resources (CCAMLR). This delayed dataset contains CTD, oxygen, chlorophyll a, CDOM and optical backscatter measurements.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter, m-1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
conductivity_qc (conductivity Quality Flag)
density (Sea Water Density, kg m-3)
density_qc (density Quality Flag)
depth_qc (depth Quality Flag)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll, and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_qc (latitude Quality Flag)
lat_uv (Depth-averaged Latitude, degree_north)
lat_uv_qc (lat_uv Quality Flag)
lon_qc (longitude Quality Flag)
lon_uv (Depth-averaged Longitude, degree_east)
... (50 more variables)

NOAA SWFSC Antarctic Ecosystem Research Division


Argo float data from UW/MBARI, BGC-Argo and Core, preliminary near real-time

Quality controlled data from the BGC-Argo floats hosted at MBARI.  Includes all GO-BGC (Global Ocean Biogeochemistry array) and SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats.  Raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files).  BGC-Argo formatted netCDF files for all floats including a WMO number are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/).  NOTE: These data are served in NEAR REAL-TIME and are  PROVIDED AS-IS.  Be aware that inaccuracies may be present within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float.  MBARI data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters.  It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.  For archived snapshots of the MBARI BGC-Argo profiling float dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z

cdm_data_type = Other
VARIABLES:
WMO_ID
Project_ID
Station
Region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
salinity (Sea Water Salinity, pss)
sigma_theta (kg m-3)
chl_a (Chlorophyll, mg m-3)
... (34 more variables)


BioGeoChemical-Argo Float data from GO-BGC, SOCCOM and UW-MBARI, Latest Snapshot Archive

This data archive contains quality controlled data from BGC-Argo floats deployed by the Southern Ocean Carbon and Climate Observation and Modeling (SOCCOM) and  Global Ocean Biogeochemistry Array (GO-BGC) projects. Data for all floats within this archive were processed by the float data management team at the Monterey Bay Aquarium Research Institute (MBARI). This dataset contains the latest available snapshot archive. Each snapshot archive is assigned a unique DOI, and is hosted on the SOCCOM UCSD library digital collection. All snapshot archives of this dataset are available through the full GO-BGC & SOCCOM joint UCSD library digital collection at https://library.ucsd.edu/dc/collection/bb0488375t. See the DOI and history attibutes for specific references for this snapshot. Float specific metadata, as well as raw and QC files from the near-real time dataset are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files). BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (https://usgodae.org/pub/outgoing/argo/dac/aoml/). NOTE: While delayed-mode quality control (and data adjustments based on comparisons to reference fields) is assessed across the array prior to the generation of each snapshot archive, all data is PROVIDED AS-IS. Be aware that INACCURACIES MAY BE PRESENT within the data. SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the data itself or the algorithms used in the generation of derived carbon parameters. It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.

cdm_data_type = Other
VARIABLES:
WMO_ID
mbariID
Station
region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
... (46 more variables)


BioGeoChemical-Argo Float data from SOCCOM and UW-MBARI, preliminary near real-time

Quality controlled data from the BGCArgo floats hosted on the MBARI website.  Includes all the SOCCOM (Southern Ocean Carbon and Climate Observations and Modeling project) floats.  Float specific metadata and the raw data are available at https://www3.mbari.org/lobo/Data/FloatVizData/ (navigate to the /QC/ subfolder for quality controlled files).  BGCArgo formatted netCDF files for the SOCCOM array are also available on the Argo GDAC (ftp://usgodae.org/pub/outgoing/argo/dac/aoml/).  NOTE: These data are served in NEAR REAL-TIME and are  PROVIDED AS-IS.  Be aware that INACCURACIES MAY BE PRESENT within the data. While automated quality control procedures are applied during near real-time processing, additional delayed mode quality control (and data adjustments based on comparisons to reference fields) is done at a minimum of twice per year per float.  SOCCOM data managers do their best to provide high-quality, complete data but make no guarantees as to the presence of errors within the near real-time data itself or the algorithms used in the generation of derived carbon parameters.  It is the USER'S RESPONSIBILITY to ensure that the data meets the user's needs.  For archived snapshots of the SOCCOM dataset (with DOI), please visit https://library.ucsd.edu/dc/collection/bb4473712z

cdm_data_type = Other
VARIABLES:
WMO_ID
mbariID
Station
region
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pressure (dbar)
temperature (Sea Water Temperature, degree_C)
salinity (Sea Water Salinity, pss)
sigma_theta (kg m-3)
chl_a (Chlorophyll, mg m-3)
chl_a_corr (Chlorophyll, corrected, mg m-3)
... (33 more variables)


The Endurance Array is a multi-scaled array utilizing fixed and mobile assets to
observe cross-shelf and along-shelf variability in the coastal upwelling region
off the Oregon and Washington coasts. The array also provides an extensive
spatial footprint that encompasses a prototypical eastern boundary current
regime and connectivity with the Cabled Array. OOI Coastal Glider deployments
bridge the distances between the fixed sites of the Coastal Endurance Array and
allow for adaptive sampling of the coastal waters of Washington and Oregon.
This dataset contains raw Slocum glider data parsed directly from the native
glider file format. No corrections or other quality control algorithms have been
applied.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (19 more variables)


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 Conc. monthly means, AFSC management regions

Timeseries of monthly sea surface temperature means for AFSC management regions generated from the NOAA/NCDC Blended Monthly Global Sea Surface Winds product. AFSC management regions are defined as: North Bering Sea - Waters in the Bering Sea north of 58 N latitude; South Bering Sea - Waters in the Bering Sea south of 58 N latitude; Western Aleutians - Waters between 177 E and the limits of EEZ on east from south of 55 N to the EEZ that is south of the Aleutians Islands; Central Aleutians - Waters between 177 W and 177 E from south of 55 N to the EEZ that is south of the Aleutians Islands; Eastern Aleutians - Waters between 170 W and 177 W from south of 55 N to the EEZ that is south of the Aleutians Islands; Western Gulf of Alaska - Waters between 159 W and 170 W from the Alaskan coast to the EEZ; Central Gulf of Alaska - Waters between 147 W and 159 W from the Alaskan coast to the EEZ; Eastern Gulf of Alaska - Waters between 132.667 W and 147 W from the Alaskan coast to the EEZ.

cdm_data_type = Other
VARIABLES:
time (Centered Time, seconds since 1970-01-01T00:00:00Z)
north_bering_chl (Chlorophyll Conc, North Bering Sea, mg m-3)
south_bering_chl (Chlorophyll Conc, South Bering Sea, mg m-3)
west_aleutians_chl (Chlorophyll Conc, West Aleutians, mg m-3)
central_aleutians_chl (Chlorophyll Conc, Central Aleutians, mg m-3)
east_aleutians_chl (Chlorophyll Conc, East Aleutians, mg m-3)
west_gulf_chl (Chlorophyll Conc, West Gulf of Alaska, mg m-3)
central_gulf_chl (Chlorophyll Conc, Central Gulf of Alaska, mg m-3)
east_gulf_chl (Chlorophyll Conc, East Gulf of Alaska, mg m-3)
north_bering_chl_stdev (Standard Deviation, North Bering Sea, mg m-3)
south_bering_chl_stdev (Standard Deviation, South Bering Sea, mg m-3)
west_aleutian_chl_stdev (Standard Deviation, West Aleutians, mg m-3)
central_aleutian_chl_stdev (Standard Deviation, Central Aleutians, mg m-3)
east_aleutians_chl_stdev (Standard Deviation, East Aleutians, mg m-3)
west_gulf_chl_stdev (Standard Deviation, West Gulf of Alaska, mg m-3)
central_gulf_chl_stdev (Standard Deviation, Central Gulf of Alaska, mg m-3)
east_gulf_chl_stdev (Standard Deviation, East Gulf of Alaska, mg m-3)
... (8 more variables)

NOAA/NMFS/SWFSC/ERD and NOAA/NESDIS/CoastWatch West Coast Node


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)


Data from a local source.

cdm_data_type = Other
VARIABLES:
dataset_id (ERDDAP Dataset ID)
data_volume (Monthly Data Volume, Mb)
requests (Monthly Requests for Data)
nc_req (Monthly Requests for Data in NetCDF Format)
dods_req (Monthly OpenDAP Requests)
text_req (Monthly Requests for Data in Text Format)
metadata_req (Monthly Requests for Metadata)
graph_req (Monthly Requests for Graphic)
json_req (Monthly Requests for Data in JSON Format)
mat_req (Monthly Requests for Data in MATLAB Format)
images_req (Monthly Requests for Images)
other_req (Monthly Requests Data in Other Formats)
nc_size (Monthly Data Volume in NetCDF Format)
dods_size (Monthly Data Volume in OpenDAP Format)
text_size (Monthly Data Volume in Text Format)
metadata_size (Monthly Data Volume for Metadata)
graph_size (Monthly Data Volume for Graphics)
json_size (Monthly Data Volume in JSON Format)
mat_size (Monthly Data Volume in MATLAB Format)
images_size (Monthly Data Volume for Images)
other_size (Monthly Data Volume for Other Format)
unique_visitors (Unique Monthly Visitors to this ERDDAP)
time_epoch (Time in Seconds Since Jan 1, 1970)
time (seconds since 1970-01-01T00:00:00Z)

NOAA/CoastWatch/West Coast Node, NOAA /WFSC/ERD


The Pioneer Array is located on the continental shelf and slope south of Martha's Vineyard. The shelf-slope area is home to a highly productive ecosystem, and coincident with a persistent ocean frontal system where heat, salt, nutrients and other properties are exchanged between the shelf and the deep ocean. Data from gliders operating over the shelf contribute to understanding of the frontal system while those over the slope provide information about mesoscale features that may impinge on the front. This dataset contains raw Slocum glider data parsed directly from the native glider file format. No corrections or other quality control algorithms have been applied.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
... (16 more variables)


Glider deployed near Calvert Island BC as part of the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to deployment location.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter_700 (700 nm wavelength backscatter, 1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
density (Sea Water Density, kg m-3)
distance_over_ground (distance over ground flown since mission start, km)
heading (glider heading angle, rad)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
pitch (glider pitch angle, rad)
platform_meta (Platform Metadata, 1)
potential_density (water potential density, kg m-3)
potential_temperature (water potential temperature, Celsius)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
pressure (Sea Water Pressure, dbar)
... (10 more variables)


Glider deployed near Calvert Island BC in collaboration with the C-PROOF glider program. Glider is on a repeat sampling line - the Calvert Line - running from near Calvert Island to beyond the shelf break in Queen Charlotte Sound, before returning to deployment location.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter_700 (700 nm wavelength backscatter, 1)
cdom (ppb)
chlorophyll (mg m-3)
conductivity (Sea Water Electrical Conductivity, S m-1)
density (Sea Water Density, kg m-3)
distance_over_ground (distance over ground flown since mission start, km)
heading (glider heading angle, rad)
instrument_ctd (CTD Metadata, 1)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (glider pitch angle, rad)
platform_meta (Platform Metadata, 1)
potential_density (water potential density, kg m-3)
potential_temperature (water potential temperature, Celsius)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
precise_time (seconds since 1970-01-01T00:00:00Z)
... (11 more variables)


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-v4.2-8DAY), 0.04166666°, 1997-2020

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)) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS and MODIS from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v3.5 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).

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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)
Rrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 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)
water_class4 (Mean of normalised water class 4 membership over the compositing period)
water_class5 (Mean of normalised water class 5 membership over the compositing period)
... (15 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v4.2-DAILY), 0.04166666°, 1997-2019

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, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
MODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)
VIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)
MERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)
SeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)
total_nobs (Count of the total number of observations 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_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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)
Rrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 nm., sr-1)
water_class1 (Normalised water class 1 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)
water_class2 (Normalised water class 2 membership, as determined by the fuzzy classification algorithm of Tim Moore (2009) and custom-developed classes to best represent the CCI merged data)
... (78 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v4.2-MONTHLY), 0.04166666°, 1997-2020

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, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products.  MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS 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 SeaWiFS levels, for the overlap period 2012-2013.  VIIRS, MODIS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS - from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.8 (for atmospheric correction).  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM.  Derived products were generally computed with the standard SeaDAS algorithms.  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 OC4, Hu's CI and OC5, 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).

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_555 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 555 nm., sr-1)
Rrs_670 (Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 670 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)
water_class4 (Mean of normalised water class 4 membership over the compositing period)
water_class5 (Mean of normalised water class 5 membership over the compositing period)
water_class6 (Mean of normalised water class 6 membership over the compositing period)
water_class7 (Mean of normalised water class 7 membership over the compositing period)
... (13 more variables)


ESA CCI Ocean Colour Product (CCI ALL-v5.0-5DAY), 0.04166666°, 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 2012-2013; 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-v5.0-8DAY), 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-DAILY), 0.04166666°, 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 2012-2013; 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]):
MODISA_nobs (Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell)
VIIRS_nobs (Count of the number of observations from the VIIRS sensor contributing to this bin cell)
OLCI_nobs (Count of the number of observations from the OLCI sensor contributing to this bin cell)
MERIS_nobs (Count of the number of observations from the MERIS sensor contributing to this bin cell)
SeaWiFS_nobs (Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell)
total_nobs (Count of the total number of observations 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_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)
... (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)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (12 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
... (11 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
PAR (Photosynthetically Active Radiation, umol m-2 s-1)
pitch (Glider Vehicle Pitch Angle, degrees)
... (13 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (9 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
PAR (Photosynthetically Active Radiation, umol m-2 s-1)
... (14 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (19 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Irminger Sea in the North Atlantic. The Global Irminger Sea Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
... (15 more variables)


Global Temperature and Salinity Profile Programme (GTSPP) Data, 1985-present

The Global Temperature-Salinity Profile Programme (GTSPP) develops and maintains a global ocean temperature and salinity resource with data that are both up-to-date and of the highest quality. It is a joint World Meteorological Organization (WMO) and Intergovernmental Oceanographic Commission (IOC) program.  It includes data from XBTs, CTDs, moored and drifting buoys, and PALACE floats. For information about organizations contributing data to GTSPP, see http://gosic.org/goos/GTSPP-data-flow.htm .  The U.S. National Oceanographic Data Center (NODC) maintains the GTSPP Continuously Managed Data Base and releases new 'best-copy' data once per month.

WARNING: This dataset has a *lot* of data.  If you request too much data, your request will fail.
* If you don't specify a longitude and latitude bounding box, don't request more than a month's data at a time.
* If you do specify a longitude and latitude bounding box, you can request data for a proportionally longer time period.
Requesting data for a specific station_id may be slow, but it works.

*** This ERDDAP dataset has data for the entire world for all available times (currently, up to and including the January 2024 data) but is a subset of the original NODC 'best-copy' data.  It only includes data where the quality flags indicate the data is 1=CORRECT, 2=PROBABLY GOOD, or 5=MODIFIED. It does not include some of the metadata, any of the history data, or any of the quality flag data of the original dataset. You can always get the complete, up-to-date dataset (and additional, near-real-time data) from the source: https://www.nodc.noaa.gov/GTSPP/ .  Specific differences are:
* Profiles with a position_quality_flag or a time_quality_flag other than 1|2|5 were removed.
* Rows with a depth (z) value less than -0.4 or greater than 10000 or a z_variable_quality_flag other than 1|2|5 were removed.
* Temperature values less than -4 or greater than 40 or with a temperature_quality_flag other than 1|2|5 were set to NaN.
* Salinity values less than 0 or greater than 41 or with a salinity_quality_flag other than 1|2|5 were set to NaN.
* Time values were converted from "days since 1900-01-01 00:00:00" to "seconds since 1970-01-01T00:00:00".

See the Quality Flag definitions on page 5 and "Table 2.1: Global Impossible Parameter Values" on page 61 of
https://www.nodc.noaa.gov/GTSPP/document/qcmans/GTSPP_RT_QC_Manual_20090916.pdf .
The Quality Flag definitions are also at
https://www.nodc.noaa.gov/GTSPP/document/qcmans/qcflags.htm .

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory ID)
... (11 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
... (13 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (9 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (12 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (12 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_par (Photosynthetically Active Radiation (PAR) Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
... (16 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, high-latitude locations such as within the Gulf of Alaska in the Northeast Pacific. The Global Station Papa Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (19 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
precise_lon (Precise Longitude, degrees_east)
... (9 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
... (12 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_ctd (CTD Metadata, 1)
instrument_flbb (Optical Backscatter and Chlorophyll Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
lat_uv (Depth-averaged Latitude, degrees_north)
lon_uv (Depth-averaged Longitude, degrees_east)
oxygen_saturation (percent)
pitch (Glider Vehicle Pitch Angle, degrees)
platform_meta (Platform Metadata, 1)
precise_lat (Precise Latitude, degrees_north)
... (11 more variables)


The Global component of the OOI includes arrays at critical, yet under-sampled, locations such as within the Southern Ocean. The Global Southern Ocean Array includes two types of gliders that provide simultaneous spatial and temporal sampling capabilities. Open-Ocean Gliders follow track lines around the triangular mooring array and are equipped with acoustic modems to relay data from the Flanking Moorings to shore via satellite telemetry. Profiling Gliders sample the upper water column near the Apex Profiler Mooring.

cdm_data_type = TrajectoryProfile
VARIABLES:
trajectory (Trajectory Name)
wmo_id
profile_id
time (Profile Time, seconds since 1970-01-01T00:00:00Z)
latitude (Profile Latitude, degrees_north)
longitude (Profile Longitude, degrees_east)
depth (m)
backscatter (Optical Backscatter (red wavelengths), m-1)
backscatter_470 (Optical Backscatter (blue wavelengths), m-1)
backscatter_532 (Optical Backscatter (blue wavelengths), m-1)
backscatter_650 (Optical Backscatter (red wavelengths), m-1)
CDOM (Fluorometric CDOM Concentration, ppb)
chlorophyll (Chlorophyll Concentration, ug l-1)
conductivity (Sea Water Electrical Conductivity, S m-1)
crs (http://www.opengis.net/def/crs/EPSG/0/4326)
ctd_timestamp (seconds since 1970-01-01T00:00:00Z)
density (Sea Water Density, kg m-3)
dissolved_oxygen (Dissolved Oxygen Concentration, umol kg-1)
instrument_bb3slc (Optical Backscatter)
instrument_ctd (CTD Metadata, 1)
instrument_flbbcd (Optical Backscatter, Chlorophyll and CDOM Fluorescence Sensor)
instrument_oxygen (Dissolved Oxygen Sensor)
... (19 more variables)


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-20 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-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-20 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-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-20 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-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


Iceberg Locations from USNIC, Antarctic, 2014 to Present, Weekly

U.S. National Ice Center (USNIC) is the global entity that names, tracks, and documents Antarctic icebergs that meet the criteria of 20 sqNM or greater, or 10 NM on its longest axis. Data are available from Nov 2014 to present and are updated weekly.

cdm_data_type = Point
VARIABLES:
Iceberg
length_nm
width_nm
latitude (degrees_north)
longitude (degrees_east)
Remarks
time (Iso Date, seconds since 1970-01-01T00:00:00Z)


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)


International Arctic Buoy Programme meteorological and oceanographic buoys

The International Arctic Buoy Programme (IABP) maintais a network of data buoys in the entire Arctic Ocean to provide meteorological, sea ice and oceanographic data for real-time operational requirements and research purposes. Buoy data files are updated daily. Values provided are confined to surface temperature, atmospheric temperature, and barometric pressure when these values are available. All buoy files contain at least a date and position. Buoys that are no longer reporting remain available. PolarWatch harvests these data from https://iabp.apl.uw.edu/WebData/. See the IABP web page for more information https://iabp.apl.uw.edu

cdm_data_type = Point
VARIABLES:
time (Iso Date, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
bp (Atmospheric Pressure, mBars)
surface_temp (Surface Temperature, degree_C)
air_temp (Surface Air Temperature, degree_C)
has_bp (Has Barometric Pressure)
has_surface_temp (Has Surface Temperature)
has_air_temp (Has Air Temperature)
buoy_id
buoy_type
buoy_owner
logistics (Deployment Group)
hemisphere (Northern or Southern Hemisphere Deployment)
year
hour
minute
day_of_year


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)