Data from: Using a Lagrangian particle tracking model to evaluate impacts of El Niño-related advection on euphausiids in the southern California Current System
Owning Institution: UC San Diego, Research Data Curation Program
About this Collection
These supplemental animations depict particle backtrack pathways from the sampled spring distributions of six euphausiid species in the southern California Current System to the prior winter origins of water masses that effect each species. The goal of our study was to explore the sole influence of horizontal advection in describing interannual variability in each euphausiid species. The particle backtracks explicitly model the water masses that affect each species in spring; mismatches between variability in those water masses and variability in biomass of a species suggest the species underwent additional in situ biological changes. We used modeled flow field outputs from the California State Estimate, a regionally optimized downscale of the MITgcm, to force a particle backtracking model. The model encompasses 2008-2017. The euphausiid biomass samples come from the CalCOFI program. We first objectively mapped the biomass values from the individual stations for a single spring onto a smooth, interpolated surface to depict the distribution across the entire region. From that surface, we identified the threshold contours encompassing the regions of >80% biomass and 50-80% biomass. We then seeded particles within those contours to represent that spring distribution, and then backtracked the particles for four months to the prior December. View this collection on the contributor's website.View our statement on digital primary resources and historical description.
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