The synoptic gridded WOD (SG-WOD) provides 3D world ocean gridded temperature and salinity data in monthly increment from WOD profiles using the Optimal Spectral Decomposition (OSD). The SG-WOD data has the same spatial resolution as WOA2009 (T, S) fields.

The synoptic monthly gridded Japan/East Sea dataset (SMG-JES) provides 3D gridded (temperature, salinity) and absolute geostrophic velocity (current u, current v) data in monthly increment from WOD profiles using the Optimal Spectral Decomposition (OSD) and the P Vector methods. The SMG-JES data has 0.25 degree horizontal resolution and the same 57 vertical levels as the WOA2009 (temperature, salinity) fields.

Synoptic monthly gridded Mediterranean Sea temperature (T), salinity (S), and absolute geostrophic velocity (u, v) fields are produced from the NOAA National Centers for Environmental Information (NCEI) World Ocean Database (WOD) (T, S) profiles. The optimal spectral decomposition (OSD) (Chu et al. 2003a, b; 2015) and P vector (Chu 1995) methods are used to establish the synoptic monthly gridded (T, S, u, v) fields with (0.25°×0.25°) horizontal resolution, 57 vertical levels, and monthly increment from January 1960 to December 2013.

The synoptic gridded Global Temperature and Salinity Profile Programme (SG-GTSPP) provides world ocean 3D gridded temperature and salinity data in monthly increments using the Optimal Spectral Decomposition (OSD). The SG-GTSPP data has the same spatial resolution as WOA2009 (T, S) fields.

This dataset comprises 3D gridded climatological fields of geostrophic velocity inverted from World Ocean Atlas-2013 (WOA2013) temperature and salinity fields using the P-vector method. It provides a climatological velocity field that is dynamically compatible to the WOA2013 (T, S) fields. The dataset has the same spatial resolution and temporal variation (annual, monthly, seasonal) as WOA2103 (T, S) fields, but does not cover the equatorial zone (5oS – 5oN) due to the geostrophic balance being the theoretical basis for the P-vector inverse method.

The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F14 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F14 for a monthly average.

The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F13 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F13 for monthly averages.

The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F11 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F11 for monthly averages.

The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F15 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F15 for a monthly average.

The RSS SSM/I Ocean Product Grids Monthly Average from DMSP F10 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F10 for monthly averages.