RSS Optimally Interpolated Microwave and Infrared Daily Sea Surface Temperature Analysis

The through-cloud capabilities of satellite microwave radiometers provides a valuable picture of the global sea surface temperature (SST). To utilize this, scientists at Remote Sensing Systems (RSS) have created two Optimally Interpolated (OI) SST daily products, one using only microwave data at 25 km resolution and one using microwave and infrared data at 9 km resolution. These products are ideal for research activities in which a complete, daily SST map is more desirable than one with missing data due to orbital gaps or environmental conditions precluding SST retrieval. The 25 km microwave OI SST product contains the SST measurements from all operational radiometers. The 9 km microwave and infrared OI SST product combines the through-cloud capabilities of the microwave data with the high spatial resolution and near-coastal capability of the infrared SST data. All SST values are adjusted using a diurnal model to create a foundation SST. Improved global daily near real time (NRT) SSTs are useful for a wide range of scientific and operational activities.

To Access Resource:

Questions? Email Resource Support Contact:

  • Zaihua Ji
    zji@ucar.edu
    UCAR/NCAR - Research Data Archive

Temporal Range

  • Begin:  1998-01-01T12:00:00Z
    End:  2024-11-17T12:00:00Z

Keywords

Resource Type dataset
Temporal Range Begin 1998-01-01T12:00:00Z
Temporal Range End 2024-11-17T12:00:00Z
Temporal Resolution N/A
Bounding Box North Lat 90
Bounding Box South Lat -90
Bounding Box West Long -180
Bounding Box East Long 180
Spatial Representation grid
Spatial Resolution 0.088 degree
0.25 degree
Related Links

Related Resource #1 : Remote Sensing Systems (RSS) - Sea Surface Temperature (SST)
Additional Information N/A
Resource Format NetCDF4 (Binary)
Standardized Resource Format NetCDF
Asset Size 31642 MB
Legal Constraints

Creative Commons Attribution 4.0 International License
Access Constraints None
Software Implementation Language N/A

Resource Support Name Zaihua Ji
Resource Support Email zji@ucar.edu
Resource Support Organization UCAR/NCAR - Research Data Archive
Distributor NCAR Research Data Archive
Metadata Contact Name N/A
Metadata Contact Email rdahelp@ucar.edu
Metadata Contact Organization NCAR Research Data Archive

Author Remote Sensing Systems
Publisher Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
Publication Date 2018-02-12
Digital Object Identifier (DOI) https://doi.org/
Alternate Identifier d277008
Resource Version N/A
Topic Category geoscientificInformation
Progress onGoing
Metadata Date 2024-12-24T15:05:01Z
Metadata Record Identifier edu.ucar.rda::d277008
Metadata Language eng; USA
Suggested Citation Remote Sensing Systems. (2018). RSS Optimally Interpolated Microwave and Infrared Daily Sea Surface Temperature Analysis. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. https://doi.org/. Accessed 25 December 2024.

Harvest Source