Global daily gap-free ocean color products derived from multi-satellite merged measurements using the DINEOF method
Presented by: Xiaoming Liu
Date: June 21, 2023 1:30 pm
Location: CIRA Commons
Satellite ocean color products derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (SNPP) and NOAA-20, and the Ocean and Land Colour Instrument (OLCI) on the Sentinel-3A (S3A) and Sentinel-3B (S3B) have been widely used for surveillance of the ocean environment and research on ocean physical, biological, biogeochemical, and ecological processes. However, either VIIRS or OLCI daily ocean color images are often incomplete in spatial coverage due to cloud cover, contamination of high sun glint, narrow swath width, high sensor-zenith angle, high solar-zenith angle, and/or other unfavorable retrieval conditions. Although merging daily ocean color images from multiple satellite sensors can help reduce the number of invalid pixels, gap-filling methods such as the Data Interpolating Empirical Orthogonal Function (DINEOF) are often used to reconstruct invalid pixels and generate gap-free images. In this talk, multi-sensor derived global daily gap-free ocean color data, including chlorophyll-a (Chl-a) concentrations, water diffuse attenuation coefficient at the wavelength of 490 nm (Kd(490)), and suspended particulate matter (SPM) concentrations will be presented. In addition, gap-free data in different spatial resolutions of 9-km, 2-km, 1-km and 0.5-km, will be compared and discussed.