RSS Optimally Interpolated Microwave and Infrared Daily Sea Surface Temperature Analysis
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: 2024-09-25T12:00:00Z
Resource Type | dataset |
---|---|
Temporal Range Begin | 1998-01-01T12:00:00Z |
Temporal Range End | 2024-09-25T12:00:00Z |
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 | 2024-11-01T14:05:07Z |
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 03 November 2024. |
Harvest Source
- ISO-19139 ISO-19139 Metadata