The PO.DAAC is pleased to announce the availability of the PI-produced Multi-Mission Optimally Interpolated Sea Surface Salinity (OISSS) 7-Day and Monthly Level-4 V2.0 datasets based on the AQUARIUS/SAC-D, SMAP and SMOS level-2 mission data gridded on a 0.25 degree spatial grid. An optimal interpolation is applied to each mission dataset to create a gap free gridded product. The datasets are produced by the Earth and Space Research (ESR), Seattle and International Pacific Research Center (IPRC), University of Hawaii at Manoa in collaboration with Remote Sensing Systems (RSS), Santa Rosa, California. They cover the period from August 2011 through October 2022, and will be updated regularly every 6 months as new data become available . The datasets are CF/ACDD metadata conventions compliant, and include an estimated SSS uncertainty field.
The multi-mission OISSS Level 4 V2.0 datasets are described, discoverable, and accessible in the NASA Earthdata Cloud (AWS-West) via the PO.DAAC data portal, as are the associated technical documentation. General information regarding the Aquarius, SMAP and SMOS missions are available from the respective mission websites. Users are encouraged to visit PO.DAAC Cloud Data Page for detailed information about cloud data access.
Oleg Melnichenko, Peter Hacker, James Potemra, Thomas Meissner, and Frank Wentz (2021). Aquarius/SMAP sea surface salinity optimum interpolation analysis, IPRC Technical Note No. 7, May 7, 2021.
Melnichenko, O., P. Hacker, N. Maximenko, G. Lagerloef, and J. Potemra, 2014: Spatial Optimal Interpolation of Aquarius Sea Surface Salinity: Algorithms and Implementation in the North Atlantic, J. Atmos. Oceanic Technol., 31, 1583-1600.
Melnichenko, O., P. Hacker, N. Maximenko, G. Lagerloef, and J. Potemra, 2016: Optimum interpolation analysis of Aquarius sea surface salinity, J. Geophys. Res. Oceans, 121, 602-616, doi:10.1002/2015JC011343.
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