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| NOAA OISST | |
|---|---|
| Name | OISST |
| Producer | National Oceanic and Atmospheric Administration |
| Acronym | OISST |
| Start year | 1981 |
| Spatial resolution | 0.25° |
| Variables | Sea surface temperature; sea ice concentration |
| Temporal resolution | Daily |
| License | Public domain |
NOAA OISST The NOAA Optimum Interpolation Sea Surface Temperature (OISST) is a blended, gap-filled global sea surface temperature and sea ice dataset produced for climate monitoring, weather forecasting, oceanography, and marine ecosystem studies. It combines in situ and satellite observations using statistical interpolation techniques to provide daily, weekly, and monthly fields that inform analysis by agencies, research centers, and operational centers worldwide. The product underpins assessments by international programs and is integrated into numerical models, reanalyses, and indices used by scientific organizations and national services.
OISST is produced by the National Oceanic and Atmospheric Administration's National Centers for Environmental Information in collaboration with the National Weather Service and research groups at institutions such as the NOAA Climate Program Office, Rutgers University, and the University of Miami. The dataset spans the global oceans and regional seas and supports studies by users at the Intergovernmental Panel on Climate Change, World Meteorological Organization, United Nations Environment Programme, and national climate centers. OISST fields are archived and distributed to communities including the European Centre for Medium-Range Weather Forecasts, National Aeronautics and Space Administration, Jet Propulsion Laboratory, and the Scripps Institution of Oceanography for model initialization and validation.
OISST blends observations from satellite radiometers such as the Advanced Very High Resolution Radiometer and the Advanced Microwave Scanning Radiometer-EOS, as well as microwave sensors used by the MetOp and NOAA satellites fleets, with in situ measurements from networks and platforms like the Argo floats, Drifting Buoy Program, Voluntary Observing Ship Program, TAO/TRITON, and coastal tide gauges maintained by the National Ocean Service. The interpolation algorithm is based on optimum interpolation (also called statistical objective analysis) similar to techniques developed at the National Meteorological Center and applied in projects like the Reanalysis initiatives. OISST combines radiative skin temperature retrievals from sensors operated by NOAA-15, NOAA-18, and Aqua with bulk temperature measurements and sea ice concentration estimates from sources including the Special Sensor Microwave/Imager and the Sea Ice Concentration Climate Data Record.
Major OISST versions include the original weekly analyses used in early climate assessments and the enhanced daily 0.25° product adopted by the Coupled Model Intercomparison Project participants and regional modeling centers. Revisions have incorporated advanced bias correction methods used in projects at the National Center for Atmospheric Research and the Met Office Hadley Centre, cross-calibration approaches from the Global Climate Observing System standards, and assimilation strategies influenced by the Global Ocean Data Assimilation Experiment. Improvements have targeted sensor intercalibration issues identified by teams at NOAA/NESDIS and algorithm refinements promoted by the International Arctic Research Center to better resolve sea ice edge dynamics.
OISST supports a broad range of applications across climate, weather, ecology, and maritime industries. Climate scientists at the Lamont–Doherty Earth Observatory and the Woods Hole Oceanographic Institution use OISST to analyze modes of variability such as those studied by the El Niño–Southern Oscillation community and authors of Interdecadal Pacific Oscillation research. Operational forecasting centers including the National Hurricane Center and the Pacific Tsunami Warning Center use OISST for surface boundary conditions and anomaly detection. Fisheries researchers at the NOAA Fisheries and conservation groups like the Monterey Bay Aquarium Research Institute use OISST to identify marine heatwaves and habitat shifts, while renewable energy firms and shipping companies consult fields used by the International Maritime Organization and the Global Wind Energy Council for route planning and resource assessment.
Validation efforts for OISST involve intercomparisons with independent measurements from programs like ARGO, repeat ship sections from the Global Ship-based Hydrographic Investigations Program, and satellite cross-validation research conducted by the Group for High Resolution Sea Surface Temperature. Uncertainty quantification leverages ensemble-based testing and error estimates derived from statistical frameworks advanced at the European Space Agency and NOAA Geophysical Fluid Dynamics Laboratory. Bias sources traced by studies at the Scripps Institution of Oceanography and the University of Washington include diurnal warming effects, retrieval errors near the sea ice margin, and sampling inhomogeneities that are explicitly addressed in quality control procedures.
OISST is distributed through the NOAA National Centers for Environmental Information archive and mirror sites used by the Pangeo community and centers such as the University of California, San Diego and the UK Met Office for research download. Data formats follow conventions compatible with tools developed at Unidata, the NetCDF community, and the Open Geospatial Consortium standards to facilitate use with software from the National Center for Atmospheric Research and the Earth System Grid Federation. Users access data via portals employed by the Copernicus Climate Change Service, cloud hosts provided by Amazon Web Services Public Data Program, and data catalogs maintained by the Global Change Master Directory.
OISST is commonly used alongside global reanalyses such as ERA5, MERRA-2, and JRA-55 and is integrated into coupled model runs by the Program for Climate Model Diagnosis and Intercomparison contributors. Complementary datasets include the Group for High Resolution Sea Surface Temperature products, satellite altimetry records from the Jason series, ocean color fields from MODIS and VIIRS, and sea ice products from the National Snow and Ice Data Center. Researchers combine OISST with ecosystem indicators produced by the NOAA National Centers for Environmental Prediction, hydrological datasets from the HydroSHEDS project, and biodiversity observations curated by the Ocean Biogeographic Information System.
Category:Oceanography datasets