A data-driven approach to simulate the spatiotemporal variations of chlorophyll-a in Chesapeake Bay
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DOI: 10.1016/j.ocemod.2020.101748
Abstract: Abstract Phytoplankton biomass, indicated by chlorophyll-a (Chl-a) concentration, is fundamentally important for aquatic ecosystems. However, accurately simulating Chl-a is always challenging even when using state-of-the-art numerical models. We propose a data-driven modeling framework that combines… read more here.
Keywords: driven approach; numerical models; chesapeake bay; approach simulate ... See more keywords