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

Name: 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
Published: 2021-06-29
Keywords: phytoplankton, community dynamics, HOT, Model results, disturbance, oceans

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.

Cite Dataset

Spatial Extent: N:25.25 E:-155.50 S:20.25 W:-160.50
Temporal Extent: 2003 - 2014

48

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256

Downloads

These numbers come from web analytics and reflect real user activity on the site. They reliably show dataset usage and are mostly free of bot traffic.

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.

Related Datasets

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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

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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

Cite Dataset

Spatial Extent: N:25.25 E:-155.50 S:20.25 W:-160.50
Temporal Extent: 2003 - 2014

48

Views

256

Downloads

These numbers come from web analytics and reflect real user activity on the site. They reliably show dataset usage and are mostly free of bot traffic.

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

These data were generated from numerical model simulations.

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

Related Datasets

No Related Datasets

Related Publications

Results

Data File(s)	Type	Description	Action
Liu_Levine_PO_model_output.zip (2.31 GB)	ZIP Archive (ZIP)	Model output files containing simulated biogeochemical parameters averaged over the entire model domain in MATLAB .mat format. Each .mat file contains 12 years of model output from 2003 to 2014, and there are a total of 57 files corresponding to the 56 sensitivity heterogeneous mode experiments. Reference: Liu, X. and Levine, N. M., 2021. Ecosystem implications of fine-scale frontal disturb... Show more	Liu_Levine_PO_model_output.zip

Supplemental File(s)	Type	Description	Action
Liu_and_Levine_modelDescription.pdf (709.14 KB)	Portable Document Format (.pdf)		Liu_and_Levine_modelDescription.pdf

Data File(s)	Type	Description	Action
Liu_Levine_PO_model_output.zip (2.31 GB)	ZIP Archive (ZIP)	Model output files containing simulated biogeochemical parameters averaged over the entire model domain in MATLAB .mat format. Each .mat file contains 12 years of model output from 2003 to 2014, and there are a total of 57 files corresponding to the 56 sensitivity heterogeneous mode experiments. Reference: Liu, X. and Levine, N. M., 2021. Ecosystem implications of fine-scale frontal disturb... Show more	Liu_Levine_PO_model_output.zip

Supplemental File(s)	Type	Description	Action
Liu_and_Levine_modelDescription.pdf (709.14 KB)	Portable Document Format (.pdf)		Liu_and_Levine_modelDescription.pdf

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

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

48

256

Files

Supplemental Files

Related Datasets

Related Publications

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

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

48

256

Files

Supplemental Files

Related Datasets

Related Publications

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

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

Metadata

48

256

Files

Supplemental Files

Related Datasets

Related Publications

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

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

Metadata

48

256

Files

Supplemental Files

Related Datasets

Related Publications