Daily global sea surface temperature analysis produced on a 0.05-degree grid using an optimal interpolation method. The Danish Meteorological Institute generates this dataset operationally by combining nighttime skin and subskin temperature observations from multiple satellite sensors, including AVHRR, SEVIRI, AMSR2, VIIRS, and MODIS. It follows the GHRSST Data Processing Specification version 2 and incorporates an ice mask from the EUMETSAT OSI-SAF.
Use Cases
- Assimilating the gridded sea surface temperature field into ocean circulation models to improve boundary condition initialization.
- Analyzing daily temperature anomalies and trends from the global 0.05-degree grid to monitor marine heatwaves.
- Validating the output of coupled climate models by comparing simulated sea surface temperatures against this multi-sensor satellite analysis.
- Masking ice-covered regions in polar studies using the incorporated EUMETSAT OSI-SAF ice field data.
- Fusing data from AVHRR, SEVIRI, AMSR2, VIIRS, and MODIS sensors to create a consistent, gap-filled daily temperature product.
Strengths
- Global spatial coverage on a consistent 0.05-degree grid.
- Daily temporal resolution for operational monitoring.
- Integrates observations from five different satellite sensor systems to reduce gaps.
- Adheres to the standardized GHRSST Data Processing Specification version 2.
Limitations
- Relies on nighttime satellite observations only, missing diurnal variability.
- Spatial resolution of 0.05 degrees may be too coarse for coastal or mesoscale studies.
- Interpolation accuracy can be reduced in data-sparse regions.
Provenance
- Source
- Danish Meteorological Institute (DMI).
- Collection Method
- Optimal interpolation (OI) of GHRSST Level 2P satellite observations.
- Time Range
- Daily, operational.
- Freshness
- Daily operational production.
- Geography
- Global.