Dataset: Model output of phytoplankton community composition variability as a function of intensity and duration of environmental disturbance at the Hawaii Ocean Time-series (HOT) location and nearby regions between 2003 and 2014

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.854787.1Version 1 (2021-06-29)Dataset Type:model results

Principal Investigator, Contact: Naomi M. Levine (University of Southern California)

Student, Contact: Xiao Liu (National Oceanic and Atmospheric Administration)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: How does intensity and frequency of environmental variability affect phytoplankton growth? (Enviro variability and phytoplankton growth)

Project: OCE-RIG: The impact of submesoscale processes on oligotrophic carbon cycling and the sensitivity of this interaction to climatically driven changes (SHiP)


Abstract

Model output of phytoplankton community composition variability as a function of intensity and duration of environmental disturbance at the Hawaii Ocean Time-series (HOT) location and nearby regions between 2003 and 2014. Model output was generated from numerical model simulations.

Location:  Hawaii Ocean Time-series (HOT) and nearby regions (5deg x 5deg centered at HOT)

These data were generated from numerical model simulations.

See Supplemental File "Liu_and_Levine_modelDescription.pdf" for a methodology summary including a physical model description, ecological model description, model configuration and simulations, and Appendix A. "Key ecosystem parameters used in the model. Parameters optimized for the HOT site are denoted with asterisks."

Also, please refer to the associated publication Liu and Levine (2021) for additional details.


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Results

Liu, X., & Levine, N. M. (2021). Ecosystem implications of fine-scale frontal disturbances in the oligotrophic ocean – An idealized modeling approach. Progress in Oceanography, 192, 102519. doi:10.1016/j.pocean.2021.102519