Status message

View this page on the new BCO-DMO website: https://demo.bco-dmo.org/dataset/854787

“Happy Holidays! BCO-DMO will be on break from 23 December to 2 January 2025. Submissions and questions will still be accepted, however our responses may be delayed during this time.”

Dataset: Modeled phytoplankton dynamics

DOI:10.26008/1912/bco-dmo.854787.1
Spatial Extent: N:25.25 E:-155.5 S:20.25 W:-160.5
Temporal Extent: 2003 - 2014
Project: 
Principal Investigator: 
Naomi M. Levine (University of Southern California, USC)
Student: 
Xiao Liu (National Oceanic and Atmospheric Administration, NOAA)
Contact: 
Naomi M. Levine (University of Southern California, USC)
Xiao Liu (National Oceanic and Atmospheric Administration, NOAA)
BCO-DMO Data Manager: 
Amber D. York (Woods Hole Oceanographic Institution, WHOI BCO-DMO)
Version: 
1
Version Date: 
2021-06-29
Restricted: 
No
Validated: 
Yes
Current State: 
Final no updates expected

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
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.

Expand/Collapse All
Data Files
File
Liu Levine PO model output (.mat files)
filename: Liu_Levine_PO_model_output.zip
(ZIP Archive (ZIP), 2.31 GB)
MD5:04cc97f90492a503416ee3de69217b2c
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 disturbances in the oligotrophic ocean - an idealized modeling approach. Progress in Oceanography, https://doi.org/10.1016/j.pocean.2021.102519.

File names:
A suite of modeling experiments was conducted and a MATLAB file was generated for each of these experiments:

Example:
Rv120_`aa`Year_`bb`_`cc`_`dd`min_`ee`dflux_`ff`day.mat
where:
`aa` = total length of the simulation
`bb` = start year of the simulation
`cc` = end year of the simulation
`dd’ = time step for model evolution and numerical integration
`ee` = disturbance flux in meters per day
`ff` = disturbance duration in days


Key parameters:
In each file, simulated biogeochemical parameters averaged over the entire model domain are saved in a MATLAB data structure named “PATCH”:

DAY: time elapsed since the start of the simulation in days
SST: sea surface temperature in degree C
NO3: nitrate concentration in mmol per cubic meter
NH4: ammonium concentration in mmol per cubic meter
PHYTO_C: **phytoplankton carbon biomass concentration in mmol per cubic meter
GROWTH_C: **phytoplankton carbon biomass production in mmol per cubic meter per day
PHYTO_CHL: **phytoplankton chlorophyll concentration in mg per cubic meter
ZOO_C: zooplankton carbon biomass concentration in mmol per cubic meter
POC: particulate organic carbon concentration in mmol per cubic meter
DOC: dissolved organic carbon concentration in mmol per cubic meter
EXPORT_C: particulate organic carbon exported vertically out of the model domain
FLUX: vertical flux dissolved nitrogen from the deep boundary layer into the model domain

**: these phytoplankton related parameters were simulated for three functional/size groups: small phytoplankton (row 1), large phytoplankton (row 2), and diazotrophs (row 3).
Supplemental Files
File
Liu and Levine model description
filename: Liu_and_Levine_modelDescription.pdf
(Portable Document Format (.pdf), 709.14 KB)
MD5:1ff86a9d9986ae065596f92c992cd8d3
More Information about this dataset