Tag: sea surface

NOAA/NCEI Blended Sea Surface Winds Product for Resolving Hurricane Winds

April 19, 2022

ESSIC/CISESS Scientist Korak Saha and collaborator Huai-min Zhang have been improving the NOAA/NCEI Blended Seawinds (NBS) product. NBS blends several satellite estimates of surface wind, providing more accurate and gap-free observational data for model calibration and quality control. NOAA has been producing a global gridded 0.25-degree and 6-hourly sea surface winds product that has wide applications in marine transportation, marine ecosystem and fisheries, offshore winds, weather and ocean forecasts, among others.

Leveraging Machine Learning to Improve Sea Surface Temperature Retrievals

February 28, 2022

The Microwave Integrated Retrieval System (MiRS) Science Team has published a paper in IEEE Journal on Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS) titled “Improvement of MiRS Sea Surface Temperature Retrievals Using a Machine Learning Approach”.

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

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

August 24, 2021

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.

Tag: sea surface

NOAA/NCEI Blended Sea Surface Winds Product for Resolving Hurricane Winds

Leveraging Machine Learning to Improve Sea Surface Temperature Retrievals

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

Connect with ESSIC

Links

Contact Us