Title: Sea Surface Wind, NOAA NCEI blended daily averaged 0.25° Version 2.0, Near real-time (last ~45 days), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
windspeed (magnitude of the wind velocity, m s-1)
mask (Blended Wind land/ocean/lake/river mask)
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)

Institution: NOAA NESDIS NCEI

Dataset ID: noaacwBlendednrtWindsDaily


Title: Sea Surface Wind, NOAA NCEI blended daily averaged 0.25° Version 2.0, Science Quality (1987-recent), Daily

Dataset ID: noaacwBlendedWindsDaily


Title: Sea Surface Wind, NOAA NCEI blended monthly averaged 0.25° Version 2.0, Science Quality (1987-recent), Monthly

Summary:
This netCDF file  contains 0.25-degree globally gridded Monthly mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI). The dataset covers from July 1987 to present, with monthly resolution in this dataset. 6-hourly and averaged daily data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
windspeed (magnitude of the wind velocity, m s-1)
mask (Blended Wind land/ocean/lake/river mask)
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)

Dataset ID: noaacwBlendedWindsMonthly


Title: Sea Surface Salinity, SMAP, Near Real-Time, Global 0.25°, 2015-present, Daily

Summary:
Sea Surface Salinity - Near Real Time - SMAP Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the NASA Jet Propulsion Laboratory (JPL) SMAP Level-2B SSS near real time swath HDF5 files. These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
sss (SMAP Sea Surface Salinity, PSU)
sss_dif (SMAP Sea Surface Salinity minus World Ocean Atlas Value, PSU)
ssw (SMAP Wind Speed, m/sec)
l2_time (Time from L2 files, seconds since 1970-01-01T00:00:00Z)
l2_lat (Latitude from L2 files, degrees_north)
l2_lon (Longitude from L2 files, degrees_north)

Institution: NOAA NESDIS CoastWatch

Dataset ID: noaacwSMAPsssDaily


Title: Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near real-time, Daily (L3S-LEO degrees C)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, degree_C)
sses_bias (SSES bias estimate, degree_C)
sses_standard_deviation (degree_C)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)

Institution: NOAA/NESDIS/STAR


Title: Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO degrees C)


Title: Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts, Near Real-time, Daily (L3S-LEO Kelvin)

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/STAR office

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sea_surface_temperature (sea surface sub-skin temperature, kelvin)
sses_bias (SSES bias estimate, kelvin)
sses_standard_deviation (kelvin)
l2p_flags
l3s_flags
sst_count (Count of input L3U SST pixels)
quality_level (quality level of SST pixel)
sst_source (Source of major (highest weight) contribution to sst)
satellite_zenith_angle (degrees)
dt_analysis (deviation from SST reference, kelvin)
sea_ice_fraction (1)
wind_speed (m s-1)
sst_dtime (time difference from reference time, seconds)
measurement_dtime (time difference of highest weighted input SST from reference time. Is equal to sst_dtime for pixels where L3S-LEO-PM_N is available, seconds)
sst_gradient_magnitude (SST gradient magnitude value, kelvin/km)
sst_front_position (Binary SST front position indicator)


Title: Sea-Surface Temperature, NOAA ACSPO Daily Global 0.02° Gridded Super-collated SST and Thermal Fronts Reanalysis, 2012-present, Daily (L3S-LEO Kelvin)


Title: Sea Surface Salinity, satellite (SMAP) and in situ matchups

Summary:
Sea Surface Salinity - Near Real Time - SMAP Daily Composite. CoastWatch/OceanWatch Level-3 SSS products are generated directly from the NASA Jet Propulsion Laboratory (JPL) SMAP Level-2B SSS near real time swath HDF5 files. These products improve the application of satellite SSS products in NOAA by minimizing the data latency to within 24 hours of Level-2 data availability

cdm_data_type = Other
VARIABLES:
obs
platform_id (in situ platform ID)
latitude (degrees_north)
longitude (degrees_east)
time (reference time of report, seconds since 1970-01-01T00:00:00Z)
depth (measurement depth, m)
sst (in situ sea water temperature, degree_C)
sss (in situ sea water salinity, PSU)
time_difference (L4 Centered Time minus insitu time, hours)
distance (L4 Grid Center to insitu distance, km)
Column (Column in original NC file for backtracing)
Line (Line in original NC file for backtracing)
sat_lat (Latitude, degrees_north)
sat_lon (Longitude, degrees_east)
sat_l2_lat (Latitude from L2 files, degrees_north)
sat_l2_lon (Longitude from L2 files, degrees_north)
sat_nv
sat_sss (SMAP Sea Surface Salinity, PSU)
sat_sss_dif (SMAP Sea Surface Salinity minus World Ocean Atlas Value, PSU)
sat_ssw (SMAP Wind Speed, m/sec)

Dataset ID: noaacwInSituSatelliteSSSsmap


Title: Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)
mask (Blended Wind land/ocean/lake/river/model mask)


Title: Sea Surface Wind, NOAA NCEI blended 6hr averaged 0.25° Version 2.0, Near real-time (last ~45 days), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface vector winds created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
u_wind (zonal wind component, m s-1)
v_wind (meridional wind component, m s-1)
mask (Blended Wind land/ocean/lake/river/model mask, degrees)


Title: Sea Surface Wind Stress, NOAA NCEI blended daily averaged 0.25° Version 2.0, Science Quality (1987-recent), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river mask)

Institution: NOAA/NCEI

Dataset ID: noaacwBlendedWindStressDaily


Title: Sea Surface Wind Stress, NOAA NCEI blended monthly averaged 0.25° Version 2.0, Science Quality (1987-recent), Monthly

Summary:
This netCDF file  contains 0.25-degree globally gridded Monthly mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI). The dataset covers from July 1987 to present, with monthly resolution in this dataset. 6-hourly and averaged daily data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river mask)

Dataset ID: noaacwBlendedWindStressMonthly


Title: Sea Surface Wind Stress, NOAA NCEI blended 6 hour averaged 0.25° Version 2.0, Science Quality (1987-recent), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI) using wind directions estimated from ERA-5 Wind vectors.The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau (Sea Surface Wind Stress: x-component, N m-2)
y_tau (Sea Surface Wind Stress: y-component, N m-2)
mask (Blended Wind land/ocean/lake/river/model mask)


Title: Sea Surface Wind Stress, NOAA NCEI blended daily averaged 0.25° Version 2.0, Near Real-time (last ~45 days), Daily

Summary:
This netCDF file  contains 0.25-degree globally gridded daily mean ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI).The dataset covers from July 1987 to present with quasi-daily updates. 6-hourly and averaged monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau
y_tau
mask (Blended Wind land/ocean/lake/river mask, degrees)

Dataset ID: noaacwBlendednrtWindStressDaily


Title:
Sea Surface Currents (Geostrophic), Altimetry (S-3A/B,CryoSat2,Jason-2/3,SARAL), Near Real-Time,
Global 0.25°, 2017-present, Daily

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
u_current (m/s)
v_current (m/s)

Dataset ID: noaacwBLENDEDNRTcurrentsDaily


Title: Sea Surface Wind Stress, NOAA NCEI blended 6 hour averaged 0.25° Version 2.0, Near Real-time (last ~45 days), 6 hour

Summary:
This netCDF file  contains 0.25-degree globally gridded and 6-hourly ocean surface wind stresses created by the NOAA National Centers for Environmental Information (NCEI) using wind directions estimated from GFS0.25 Forecast Wind vectors.The dataset covers from July 1987 to present with quasi-daily updates. Averaged daily and monthly data are also available. Details can be found at https://www.ncdc.noaa.gov/data-access/marineocean-data/blended-global/blended-sea-winds

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][zlev][latitude][longitude]):
x_tau
y_tau
mask (Blended Wind land/ocean/lake/river/model mask, degrees)


Title: Sea Surface Height Anomalies, Altimetry (S-3A/B,CryoSat2,Jason-2/3,SARAL), Near Real-Time, Global 0.25°, 2017-present, Daily

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

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sla (Sea Level Anomalies, m)

Dataset ID: noaacwBLENDEDsshDaily


Title: Sea Surface Salinity, satellite (SMOS MIRAS) and in situ matchups

Summary:
Sea surface temperature retrievals produced by NOAA/NESDIS/Office of Satellite and Product Operations (OSPO) office from Visible and Infrared Imager/Radiometer Suite (VIIRS) sensor

cdm_data_type = Other
VARIABLES:
obs
platform_id (in situ platform ID)
latitude (degrees_north)
longitude (degrees_east)
time (reference time of report, seconds since 1970-01-01T00:00:00Z)
sst (in situ sea water temperature, celsius)
time_difference (L4 Centered Time minus insitu time, hours)
distance (L4 Grid Center to insitu distance, km)
Column (Column in original NC file for backtracing)
Line (Line in original NC file for backtracing)

Dataset ID: noaacwInSituSatelliteSSSmiras