Analysed foundation SST over the global ocean_2002

Summary:
Analysed foundation sea surface temperature over the global ocean. A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
sea_ice_fraction (sea ice area fraction, 1)
mask (land sea ice lake bit mask)


Analysed foundation SST over the global ocean_2002 (Mid Latitudes)


Analysed foundation SST over the global ocean_2002 (Tropics)


Analysed foundation SST over the global ocean_2003


Analysed foundation SST over the global ocean_2003 (Mid Latitudes)


Analysed foundation SST over the global ocean_2003 (Tropics)


Analysed foundation SST over the global ocean_2004


Analysed foundation SST over the global ocean_2004 (Mid Latitudes)


Analysed foundation SST over the global ocean_2004 (Tropics)


Analysed foundation SST over the global ocean_2005


Analysed foundation SST over the global ocean_2005 (Mid Latitudes)


Analysed foundation SST over the global ocean_2005 (Tropics)


Analysed foundation SST over the global ocean_2006


Analysed foundation SST over the global ocean_2006 (Mid Latitudes)


Analysed foundation SST over the global ocean_2006 (Tropics)


Analysed foundation SST over the global ocean_2007


Analysed foundation SST over the global ocean_2007 (Mid Latitudes)


Analysed foundation SST over the global ocean_2007 (Tropics)


Analysed foundation SST over the global ocean_2008


Analysed foundation SST over the global ocean_2008 (Mid Latitudes)


Analysed foundation SST over the global ocean_2008 (Tropics)


Analysed foundation SST over the global ocean_2009


Analysed foundation SST over the global ocean_2009 (Mid Latitudes)


Analysed foundation SST over the global ocean_2009 (Tropics)


Analysed foundation SST over the global ocean_2010


Analysed foundation SST over the global ocean_2010 (Mid Latitudes)


Analysed foundation SST over the global ocean_2010 (Tropics)


Analysed foundation SST over the global ocean_2011


Analysed foundation SST over the global ocean_2011 (Mid Latitudes)


Analysed foundation SST over the global ocean_2011 (Tropics)


Analysed foundation SST over the global ocean_2012


Analysed foundation SST over the global ocean_2012 (Mid Latitudes)


Analysed foundation SST over the global ocean_2012 (Tropics)


Analysed foundation SST over the global ocean_2013


Analysed foundation SST over the global ocean_2013 (Mid Latitudes)


Analysed foundation SST over the global ocean_2013 (Tropics)


Analysed foundation SST over the global ocean_2014


Analysed foundation SST over the global ocean_2014 (Mid Latitudes)


Analysed foundation SST over the global ocean_2014 (Tropics)


Analysed foundation SST over the global ocean_2015


Analysed foundation SST over the global ocean_2015 (Mid Latitudes)


Analysed foundation SST over the global ocean_2015 (Tropics)


Analysed foundation SST over the global ocean_2016


Analysed foundation SST over the global ocean_2016 (Mid Latitudes)


Analysed foundation SST over the global ocean_2016 (Tropics)


Analysed foundation SST over the global ocean_2017


Analysed foundation SST over the global ocean_2017 (Mid Latitudes)


Analysed foundation SST over the global ocean_2017 (Tropics)


Analysed foundation SST over the global ocean_2018


Analysed foundation SST over the global ocean_2018 (Mid Latitudes)


Analysed foundation SST over the global ocean_2018 (Tropics)


Analysed foundation SST over the global ocean_2019


Analysed foundation SST over the global ocean_2019 (Mid Latitudes)


Analysed foundation SST over the global ocean_2019 (Tropics)


Analysed foundation SST over the global ocean_2020


Analysed foundation SST over the global ocean_2020 (Mid Latitudes)


Analysed foundation SST over the global ocean_2020 (Tropics)


Analysed foundation SST over the global ocean_2021


Analysed foundation SST over the global ocean_2021 (Mid Latitudes)


Analysed foundation SST over the global ocean_2021 (Tropics)


Analysed foundation SST over the global ocean_v05.1_2022

Summary:
Analysed foundation sea surface temperature over the global ocean. A merged, multi-sensor L4 foundation SST product from Remote Sensing Systems

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
analysed_sst (analysed sea surface temperature, degree_C)
analysis_error (estimated error standard deviation of analysed_sst, degree_C)
sea_ice_fraction (sea ice area fraction)
mask (land sea ice lake bit mask)


Analysed foundation SST over the global ocean_v05.1_2022 (Mid Latitudes)


Analysed foundation SST over the global ocean_v05.1_2022 (Tropics)


Analysed foundation SST over the global ocean_v05.1_2023


Analysed foundation SST over the global ocean_v05.1_2023 (Mid Latitudes)


Analysed foundation SST over the global ocean_v05.1_2023 (Tropics)


Analysed SST (OISSTs) 1998


Analysed SST (OISSTs) 1998 (Mid Latitudes)


Analysed SST (OISSTs) 1998 (Tropics)


Analysed SST (OISSTs) 1999


Analysed SST (OISSTs) 1999 (Mid Latitudes)


Analysed SST (OISSTs) 1999 (Tropics)


Analysed SST (OISSTs) 2000


Analysed SST (OISSTs) 2000 (Mid Latitudes)


Analysed SST (OISSTs) 2000 (Tropics)


Analysed SST (OISSTs) 2001


Analysed SST (OISSTs) 2001 (Mid Latitudes)


Analysed SST (OISSTs) 2001 (Tropics)


Analysed SST (OISSTs) 2002


Analysed SST (OISSTs) 2002 (Mid Latitudes)


Analysed SST (OISSTs) 2002 (Tropics)


Analysed SST (OISSTs) 2003


Analysed SST (OISSTs) 2004


Analysed SST (OISSTs) 2005


Analysed SST (OISSTs) 2006


Analysed SST (OISSTs) 2007


Analysed SST (OISSTs) 2008


Analysed SST (OISSTs) 2009


Analysed SST (OISSTs) 2010


Analysed SST (OISSTs) 2011


Analysed SST (OISSTs) 2012


Analysed SST (OISSTs) 2013


Analysed SST (OISSTs) 2014


Analysed SST (OISSTs) 2015


Analysed SST (OISSTs) 2016


Analysed SST (OISSTs) 2017


Analysed SST (OISSTs) 2019


Analysed SST (OISSTs) 2020


Analysed SST (OISSTs) 2021


Analysed SST (OISSTs) 2022


Analysed SST (OISSTs) 2023


Daily mean fields for product GLOBAL_MULTIYEAR_PHY_ENS_001_031 Salinity_Model_1997

Summary:
Salinity data have been calculated at a depth of 0.50576 m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
so_glor (Salinity, PSU)


Daily mean fields for product GLOBAL_MULTIYEAR_PHY_ENS_001_031 Salinity_Model_1998


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_1999


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2000


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2001


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2002


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2003


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2004


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2005


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2006


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2007


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2008


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2009

Summary:
Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
so_glor (Salinity, PSU)


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2010


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2011


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2012


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2013


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2014


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2015


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2016


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2017


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2018


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2019


Daily mean fields for product GLOBAL_REANALYSIS_PHY_001_031 Salinity_Model_2020


Daily mean fields from Global Ocean Physics Analysis and Forecast updated Daily Salinity_Model_2021

Summary:
Salinity data have been calculated at a depth of 0.494025 m

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
so_glor (Salinity, PSU)


Daily mean fields from Global Ocean Physics Analysis and Forecast updated Daily Salinity_Model_2022


DT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables

Summary:
SSALTO/DUACS Delayed-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
adt (Absolute dynamic topography, m)
ugos (Absolute geostrophic velocity: zonal component, m/s)
vgos (Absolute geostrophic velocity: meridian component, m/s)
sla (Sea level anomaly, m)
ugosa (Geostrophic velocity anomalies: zonal component, m/s)
vgosa (Geostrophic velocity anomalies: meridian component, m/s)


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2000

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitationCal (Precipitation Cal, MM/Hr)


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2001


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2002


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2003


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2004


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2005


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2006


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2007


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2008


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2009


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2010


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2011


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2012


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2013


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2014


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2015


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2016


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2017


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2018


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2019


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2020


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2021


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2022


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2023


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06 2024


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 1998

Summary:
Data from a local source.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
precipitation (MM/Hr)


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 1999


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 2000


GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 2024


MODISA L3 SMI, 2002

Summary:
HMODISA Level-3 Standard Mapped Image

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


MODISA L3 SMI, 2003


MODISA L3 SMI, 2004


MODISA L3 SMI, 2005


MODISA L3 SMI, 2006


MODISA L3 SMI, 2007


MODISA L3 SMI, 2008


MODISA L3 SMI, 2009


MODISA L3 SMI, 2010


MODISA L3 SMI, 2011


MODISA L3 SMI, 2012


MODISA L3 SMI, 2013


MODISA L3 SMI, 2014


MODISA L3 SMI, 2015

Summary:
Moderate Resolution Imaging Spectroradiometer (MODIS) Level-3 Standard Mapped Image

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


MODISA L3 SMI, 2016


MODISA L3 SMI, 2017


MODISA L3 SMI, 2018

Summary:
Moderate Resolution Imaging Spectroradiometer on Aqua (MODISA) Level-3 Standard Mapped Image

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


MODISA L3 SMI, 2019


MODISA L3 SMI, 2020


MODISA L3 SMI, 2021


MODISA L3 SMI, 2022


MODISA L3 SMI, 2023


MODISA L3 SMI, 2024


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2011

Summary:
Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss_uncertainty (estimated empirical uncertainty of multi-mission OISSS, PSU)
sss (sea surface salinity, 1e-3)


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2012


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2013


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2014


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2015


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2016


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2017


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2018


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2019


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2020


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2021


Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0 2022

Summary:
Multi-Mission Optimally Interpolated Sea Surface Salinity 7-Day Global Dataset V1.0

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
sss_uncertainty (sea_water_practical_salinity, PSU)
sss (sea surface salinity, 1e-3)


NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2022

Summary:
SSALTO/DUACS Near-Real-Time Level-4 sea surface height and derived variables measured by multi-satellite altimetry observations over Global Ocean.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
adt (Absolute dynamic topography, m)
ugos (Absolute geostrophic velocity: zonal component, m/s)
vgos (Absolute geostrophic velocity: meridian component, m/s)
sla (Sea level anomaly, m)
ugosa (Geostrophic velocity anomalies: zonal component, m/s)
vgosa (Geostrophic velocity anomalies: meridian component, m/s)


NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2023


NRT merged all satellites Global Ocean Gridded SSALTO/DUACS Sea Surface Height L4 product and derived variables 2024


RSS CCMP V2.0 derived surface winds (Level 3.0) 1987

Summary:
CCMP V2.0 has been created using the same VAM as CCMP V1.1 only it is now running at Remote Sensing Systems. Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 Advanced SCATterometer (ASCAT)), quality checked moored buoy data from National Data Buoy Center (NDBC), Pacific Marine Environmental Laboratory (PMEL), and ISDM, and ERA-Interim data from European Centre for Medium-Range Weather Forecasts (ECMWF).

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nobs (number of observations used to derive wind vector components)
wind_speed (Wind Speed at 10 meters, m s-1)
vwnd (v-wind vector component at 10 meters, m s-1)
uwnd (u-wind vector component at 10 meters, m s-1)


RSS CCMP V2.0 derived surface winds (Level 3.0) 1988


RSS CCMP V2.0 derived surface winds (Level 3.0) 1989


RSS CCMP V2.0 derived surface winds (Level 3.0) 1990


RSS CCMP V2.0 derived surface winds (Level 3.0) 1991


RSS CCMP V2.0 derived surface winds (Level 3.0) 1992


RSS CCMP V2.0 derived surface winds (Level 3.0) 1993


RSS CCMP V2.0 derived surface winds (Level 3.0) 1994


RSS CCMP V2.0 derived surface winds (Level 3.0) 1995


RSS CCMP V2.0 derived surface winds (Level 3.0) 1996


RSS CCMP V2.0 derived surface winds (Level 3.0) 1997


RSS CCMP V2.0 derived surface winds (Level 3.0) 1998


RSS CCMP V2.0 derived surface winds (Level 3.0) 1999


RSS CCMP V2.0 derived surface winds (Level 3.0) 2000


RSS CCMP V2.0 derived surface winds (Level 3.0) 2001


RSS CCMP V2.0 derived surface winds (Level 3.0) 2002


RSS CCMP V2.0 derived surface winds (Level 3.0) 2003


RSS CCMP V2.0 derived surface winds (Level 3.0) 2004


RSS CCMP V2.0 derived surface winds (Level 3.0) 2005


RSS CCMP V2.0 derived surface winds (Level 3.0) 2006


RSS CCMP V2.0 derived surface winds (Level 3.0) 2007


RSS CCMP V2.0 derived surface winds (Level 3.0) 2008


RSS CCMP V2.0 derived surface winds (Level 3.0) 2009


RSS CCMP V2.0 derived surface winds (Level 3.0) 2010


RSS CCMP V2.0 derived surface winds (Level 3.0) 2011


RSS CCMP V2.0 derived surface winds (Level 3.0) 2012


RSS CCMP V2.0 derived surface winds (Level 3.0) 2013


RSS CCMP V2.0 derived surface winds (Level 3.0) 2014


RSS CCMP V2.0 derived surface winds (Level 3.0) 2015


RSS CCMP V2.0 derived surface winds (Level 3.0) 2016 JAN01_MAY30


RSS CCMP V2.0 derived surface winds (Level 3.0) 2016_MAY31_DEC31


RSS CCMP V2.0 derived surface winds (Level 3.0) 2017


RSS CCMP V2.0 derived surface winds (Level 3.0) 2018


RSS CCMP V2.0 derived surface winds (Level 3.0) 2019


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2015

Summary:
CCMP_RT V2.1 has been created using the same VAM as CCMP V2.0 Input data have changed and now include all V7 radiometer data from RSS, V8.1 GMI data from RSS, scatterometer data from RSS (V4 QuikSCAT and V1.2 Advanced SCATterometer (ASCAT)), NO buoy data, and National Centers for Environmental Prediction (NCEP) GFS 0.25 degree data for the background field.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
nobs (number of observations used to derive wind vector components)
wind_speed (Wind Speed at 10 meters, m s-1)
vwnd (v-wind vector component at 10 meters, m s-1)
uwnd (u-wind vector component at 10 meters, m s-1)


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2016


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2017


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2018


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2019


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2020


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2021


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2022


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2023


RSS CCMP_RT V2.1 derived surface winds (Level 3.0) 2024


Satellite Ocean Heat Content (OHC) 2012

Summary:
The Satellite Ocean Heat Content (Office of Habitat Conservation (OHC)) Suite system produces two OHC files in ASCII and Network Common Data Format (NetCDF) where the output is defined on a 0.25 degree grid. For the daily files, the fields are: latitude, longitude, sea surface temperature (SST) in ï¿½C, sea surface height anomaly (SSHA) in cm, mapping error, depths of 20ï¿½C (D20) and 26ï¿½C (D26) isotherms, ocean mixed layer depth (MLD), all in meters, and a satellite derived ocean heat content (OHC) in kJ/cm2. Maintenance level is 8x7, since it runs once daily during normal working hours. Return to service should be as soon as possible. The requirements were for ASCII and NetCDF output files, as well as GIF images. The files were to contain latitude, longitude, sea surface height anomaly, OA mapping error, sea surface temperature, depth of the 20ï¿½C isotherm, depth of the 26ï¿½C isotherm, mixed layer depth, and ocean heat content. OHC is mapped at 0.25 degree resolution with an accuracy within 10 to 15% of in situ data and a latency of 36 hours. The latency of 36 hours is due to the receipt/processing required for the Sea Surface Height Anomaly data. Five GIF images were also to be created each day for OHC, SST, 20 degree isotherm, 26 degree isotherm, and Mixed Layer Depth.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
D20 (m)
D26 (m)
Ocean_Heat_Content (KJcm-2)


Satellite Ocean Heat Content (OHC) 2013


Satellite Ocean Heat Content (OHC) 2014


Satellite Ocean Heat Content (OHC) 2015


Satellite Ocean Heat Content (OHC) 2016


Satellite Ocean Heat Content (OHC) 2017


Satellite Ocean Heat Content (OHC) 2018


Satellite Ocean Heat Content (OHC) 2019


Satellite Ocean Heat Content (OHC) 2020


Satellite Ocean Heat Content (OHC) 2021


Satellite Ocean Heat Content (OHC) 2022


Satellite Ocean Heat Content (OHC) 2023


Satellite Ocean Heat Content (OHC) 2024


SeaWiFS L3 Standard Mapped Image 1998

Summary:
Sea-Wide Field-of-View Sensor (SeaWiFS) Level-3 Standard Mapped Image

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


SeaWiFS L3 Standard Mapped Image 1999


SeaWiFS L3 Standard Mapped Image 2000


SeaWiFS L3 Standard Mapped Image 2001


SeaWiFS L3 Standard Mapped Image 2002


SeaWiFS L3 Standard Mapped Image 2003


SeaWiFS L3 Standard Mapped Image 2004


SeaWiFS L3 Standard Mapped Image 2005


SeaWiFS L3 Standard Mapped Image 2006


SeaWiFS L3 Standard Mapped Image 2007


SeaWiFS L3 Standard Mapped Image 2008


SeaWiFS L3 Standard Mapped Image 2009


SeaWiFS L3 Standard Mapped Image 2010


SMAP 0.25x0.25 deg grid averaged 8-day SSS/WSPD

Summary:
Gaussian-weighted map gridding of SMAP L2B SSS Product

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
smap_high_spd (SMAP 10 m wind speed (using ancillary SSS), m s-1)
smap_spd (SMAP 10 m wind speed, m s-1)
anc_sst (Sea surface temperature, K)
anc_sss (HYCOM sea surface salinity, PSU)
smap_sss (SMAP sea surface salinity, PSU)


SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (High Latitudes)

Summary:
NOAA/National Centers for Environmental Information (NCEI) 1/4 Degree Daily Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1 - Final. NOAAs 1/4-degree Daily Optimum Interpolation Sea Surface Temperature (OISST) (sometimes referred to as Reynolds SST, which however also refers to earlier products at different resolution), currently available as version v02r01, is created by interpolating and extrapolating SST observations from different sources, resulting in a smoothed complete field. The sources of data are satellite (Advanced Very High Resolution Radiometer (AVHRR)) and in situ platforms (i.e., ships and buoys), and the specific datasets employed may change over time. At the marginal ice zone, sea ice concentrations are used to generate proxy SSTs.  A preliminary version of this file is produced in near-real time (1-day latency), and then replaced with a final version after 2 weeks. Note that this is the AVHRR-ONLY DOISST, available from Oct 1981, but there is a companion DOISST product that includes microwave satellite data, available from June 2002

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
ice (Sea ice concentration, percent)
sst (Daily sea surface temperature, degree_C)
error (Estimated error standard deviation of analysed_sst, degree_C)
anom (Daily sea surface temperature anomalies, degree_C)


SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (Mid Latitudes)


SST Daily Optimum Interpolation (OI)-V2.1, (Advanced Very High Resolution Radiometer (AVHRR)) 1981-present (Tropics)


Tropical Cyclone Heat Potential 2022_present

Summary:
Tropical Cyclone Heat Potential

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tropical_Cyclone_Heat_Potential (KJcm-2)
D26 (Depth of the 26C isotherm, m)


WaveWatch III (WW3) Global Wave Model 2013

Summary:
Through a collaborative effort with NOAA/National Centers for Environmental Prediction (NCEP) and National Weather Service (NWS) Honolulu, the University of Hawaii has implemented a global-scale WaveWatch III (WW3) 7-day model with a 5-day hourly forecast at approximately 50-km or 0.5-deg resolution. The global model is forced with NOAA/NCEP's Global Forecast System (GFS) winds. This model is designed to capture the large-scale ocean waves and provide spectral boundary conditions for the Hawaii and other Pacific regional WW3 models. While considerable effort has been made to implement all model components in a thorough, correct, and accurate manner, numerous sources of error are possible. As such, please use these data with the caution appropriate for any ocean related activity.

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][latitude][longitude]):
Tdir (peak wave direction, degrees)
Tper (peak wave period, second)
Thgt (significant wave height, meters)
sdir (swell peak wave direction, degrees)
sper (swell peak wave period, seconds)
shgt (swell significant wave height, meters)
wdir (wind peak wave direction, degrees)
wper (wind peak wave period, seconds)
whgt (wind significant wave height, meters)


WaveWatch III (WW3) Global Wave Model 2014


WaveWatch III (WW3) Global Wave Model 2015


WaveWatch III (WW3) Global Wave Model 2016


WaveWatch III (WW3) Global Wave Model 2017


WaveWatch III (WW3) Global Wave Model 2018


WaveWatch III (WW3) Global Wave Model 2019


WaveWatch III (WW3) Global Wave Model 2020


WaveWatch III (WW3) Global Wave Model 2021


WaveWatch III (WW3) Global Wave Model 2022


WaveWatch III (WW3) Global Wave Model 2023


WaveWatch III (WW3) Global Wave Model 2024


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2013 (1 Day)

Summary:
NOAA CoastWatch distributes near real time wind data originating with wind velocity measurements from the Advanced SCATterometer (ASCAT) instruments onboard all European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT)'s MetOp satellites.  ASCAT is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity is processed to wind divergence by NOAA CoastWatch. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
wind_speed (Wind Speed at 10 meters, m s-1)
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2014 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2015 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2016 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2017 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2018 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2019 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2020 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2021 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2022 (1 Day)


Wind, All Metop ASCAT, 0.25Â°, Global, Near Real Time, 2023 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 1999 (1 Day)

Summary:
Remote Sensing Inc. distributes science quality wind velocity data from the SeaWinds instrument onboard NASA's QuikSCAT satellite.  SeaWinds is a microwave scatterometer designed to measure surface winds over the global ocean.  Wind velocity fields are provided in zonal, meridional, and modulus sets. The reference height for all wind velocities is 10 meters. (This is a 1 day composite.)

cdm_data_type = Grid
VARIABLES (all of which use the dimensions [time][altitude][latitude][longitude]):
wind_speed (Wind Speed at 10 meters, m s-1)
x_wind (Zonal Wind, m s-1)
y_wind (Meridional Wind, m s-1)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2000 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2001 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2002 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2003 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2004 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2005 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2006 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2007 (1 Day)


Wind, QuikSCAT SeaWinds, 0.125Â°, Global, Science Quality, 2008 (1 Day)