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Title
Data from: Using a Lagrangian particle tracking model to evaluate impacts of El Niño-related advection on euphausiids in the southern California Current System
Creator
Lilly, Laura E
Date Created and/or Issued
2007-11-01 to 2017-03-31
Contributing Institution
UC San Diego, Research Data Curation Program
Collection
Data from: Using a Lagrangian particle tracking model to evaluate impacts of El Niño-related advection on euphausiids in the southern California Current System
Rights Information
Under copyright
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Rights Holder and Contact
UC Regents
Description
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.
This work was supported by an NSF Graduate Research Fellowship to L. E. Lilly, NSF OCE-1614359 and OCE-1637632 to the California Current Ecosystem-LTER site, Gordon and Betty Moore Foundation support to M. D. Ohman, and NOAA Office of Naval Research support to B. D. Cornuelle and the CASE model.
Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
Lilly, Laura E.; Cornuelle, Bruce D.; Ohman, Mark D. (2022). Data from: Using a Lagrangian particle tracking model to evaluate impacts of El Niño-related advection on euphausiids in the southern California Current System. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0KK9BZP
Type
moving image
Language
English
Subject
North Pacific Subtropical Gyre
Lagrangian
Euphausiids
California current system
Advection
Particle tracking model
Southern California Bight
Zooplankton
El Niño
Pacific Ocean
Baja California
Thysanoessa spinifera
Euphausia eximia
Nyctiphanes simplex
Euphausia gibboides
Nematoscelis difficilis
Euphausia pacifica
Place
Pacific Ocean
Baja California

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