NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1

Figure: Collocated and globally averaged SST biases against Argo observations. A 15-day filter is applied to all curves for readability.
Figure: Collocated and globally averaged SST biases against Argo observations. A 15-day filter is applied to all curves for readability.

ESSIC/CISESS Visiting Research Scientist Tom Smith is coauthor of an article on DOISST v.2.1 coming out in the September 2021 issue of the Journal of Climate. The paper, titled “Assessment and Intercomparison of NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1”, shows how the improved NOAA operational analysis compares to several other available analyses. 

 

The researchers compared seven SST datasets with DOISST v2.1: NASA Multiscale Ultrahigh Resolution (MUR); GHRSST Multi-Product Ensemble (GMPE); BoM Global Australian Multi-Sensor Analysis (GAMSSA); U.K. Met Office Operational Analysis (OSTIA); NOAA Geo-Polar Blended (GPB); ESA Climate Change Initiative (CCI); and Canadian Meteorological Center (CMC). When independent buoy and Argo observations are used as the reference data, DOISST v2.1 has a low bias but its root mean square difference is slightly higher than in OSTIA and CMC. The good performance of DOISST v2.1 among the products may be due to ingesting the Argo observations and expanding global and regional spatial coverage of in situ observations for effective bias correction of satellite data.

 

Smith is a physical scientist working in analyses that include both satellite and in situ data, and has been with NOAA for nearly 30 years.  He has contributed to climate analyses of surface temperature and precipitation used for evaluating historical climate variations.

 

To access the article, click here: “Assessment and Intercomparison of NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version 2.1”.