http://lod.bco-dmo.org/id/dataset/810368
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2020-04-30
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
MESMO global model output for future simulations with dynamic C:N:P ratios for years 1750-2500
2020-04-30
publication
2020-04-30
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2020-05-13
publication
https://doi.org/10.26008/1912/bco-dmo.810368.1
Katsumi Matsumoto
University of Wisconsin
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Matsumoto, K. (2020) MESMO global model output for future simulations with dynamic C:N:P ratios for years 1750-2500. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-04-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.810368.1 [access date]
Dataset Description: <p>MESMO global model output for future simulations with dynamic C:N:P ratios for years 1750-2500.&nbsp;The dataset contains NetCDF files with&nbsp;3D ocean biogeochemistry model outputs.&nbsp;&nbsp;</p> Methods and Sampling: The methodology and model outputs are described in a paper to be submitted shortly: "Modulation of future global export production stoichiometry by Antarctic sea ice" by Katsumi Matsumoto and Tatsuro Tanioka.
Model runs with a power law model of C:N:P. The simulation period for all runs is years 1750-2500
190916a.nc = Control run with flexible C:N:P
190916g.nc = Global warming run with flexible C:N:P
190916k.nc = Global warming run with C:N:P mask
190916l.nc = Global warming run with COM mask
190916e.nc = Control run with fixed C:N:P=117:16:1
190916p.nc = Global warming run with fixed C:N:P=117:16:1
The ocean model used to generate these outputs is MESMO (Matsumoto et al., 2008, 2013). Briefly it is an earth system model of intermediate complexity that consists of a 3D dynamical model of the global ocean, 2D dynamic-thermodynamic model of sea ice, and 2D energy moisture balanced model of atmosphere. The results archived here are from MESMO experiments under the modern conditions and under a future warming scenario. These experiments are described and their results analyzed in a submitted manuscript: Matsumoto and Tanioka, "Modulation of future global ocean production stoichiometry by Antarctic sea ice."
The equilibrium model run with flexible phytoplankton C:N:P is obtained by running the model for 5000 years under preindustrial boundary conditions until the model reached steady state. The future warming scenario used in this study is the Shared Socioeconomic Pathway 2, a new "middle-of-the road" scenario of future warming. The radiative forcing stabilizes at ~6.5 Wm-2 with pCO2 at ~600 matm by the year 2100. All future runs are 750 years long, start in 1750, and terminate in 2500. There is a Control run for each formulation, where the equilibrium runs were simply continued for the same 750 years.
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1827948 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1827948
completed
Katsumi Matsumoto
University of Wisconsin
703-292-7139
kmatsumo@nsf.gov
pointOfContact
asNeeded
Dataset Version: 1
Unknown
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
A power law model of dynamic marine phytoplankton stoichiometry
https://osprey.bco-dmo.org/project/782252
A power law model of dynamic marine phytoplankton stoichiometry
<p>NSF Award Abstract:<br />
Almost a century ago, Alfred Redfield observed that the ratios of the elements carbon, nitrogen, and phosphorus in ocean phytoplankton were nearly the same throughout the oceans. This observation came to be called the "Redfield ratio" and is a central idea in biological and chemical oceanography. The Redfield ratio provides a convenient and useful way of relating the uptake of nutrients (nitrogen and phosphorus) and carbon, and of exploring aspects of ocean carbon cycling. Recent work, however, has highlighted the many ways in which the carbon to nitrogen to phosphorus (C:N:P) ratios can vary, suggesting that the simple assumption that they are unchanging should be revisited. The overall goal of this project is to develop a way of incorporating varying C:N:P ratios into ocean models that will allow researchers to explore the impacts of these variations on carbon cycling. The proposed work will directly support graduate student researchers and include STEM outreach to local schools.</p>
<p>This project will develop a power law model of flexible phytoplankton stoichiometry, an approach that is able to capture the nonlinear behavior of the elemental ratios as a function of multiple environmental drivers. The central feature of the power law model is a coefficient that yields useful insights about phytoplankton biochemistry (i.e., phytoplankton homeostasis) and ocean biogeochemistry (i.e., the buffer capacity of the global carbon export production to environmental changes). Furthermore, the power law model is mathematically robust and thus easily ported to global ocean models. These attributes of the power law model are expected to facilitate widespread studies of dynamic stoichiometry with global ocean models. The investigators will also enable two global ocean models with their new stoichiometry model and quantify the stoichiometry-biogeochemical cycles-climate feedbacks under ongoing global warming and late Pleistocene ice age conditions. This study will thus make a significant contribution to chemical oceanography by developing a new approach to representing stoichiometric diversity in ocean models and by quantifying the global impacts of that diversity under different climate conditions.</p>
<p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p>
Power_law_model
largerWorkCitation
project
eng; USA
oceans
-180
180
-90
90
1750-01-01
2500-01-01
Global
0
BCO-DMO catalogue of parameters from MESMO global model output for future simulations with dynamic C:N:P ratios for years 1750-2500
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
247838724
https://darchive.mblwhoilibrary.org/bitstream/1912/25768/1/matsumoto_mesmo_gw_cnp.tar.tz
download
https://doi.org/10.26008/1912/bco-dmo.810368.1
download
onLine
dataset
The methodology and model outputs are described in a paper to be submitted shortly: "Modulation of future global export production stoichiometry by Antarctic sea ice" by Katsumi Matsumoto and Tatsuro Tanioka.
Model runs with a power law model of C:N:P. The simulation period for all runs is years 1750-2500
190916a.nc = Control run with flexible C:N:P
190916g.nc = Global warming run with flexible C:N:P
190916k.nc = Global warming run with C:N:P mask
190916l.nc = Global warming run with COM mask
190916e.nc = Control run with fixed C:N:P=117:16:1
190916p.nc = Global warming run with fixed C:N:P=117:16:1
The ocean model used to generate these outputs is MESMO (Matsumoto et al., 2008, 2013). Briefly it is an earth system model of intermediate complexity that consists of a 3D dynamical model of the global ocean, 2D dynamic-thermodynamic model of sea ice, and 2D energy moisture balanced model of atmosphere. The results archived here are from MESMO experiments under the modern conditions and under a future warming scenario. These experiments are described and their results analyzed in a submitted manuscript: Matsumoto and Tanioka, "Modulation of future global ocean production stoichiometry by Antarctic sea ice."
The equilibrium model run with flexible phytoplankton C:N:P is obtained by running the model for 5000 years under preindustrial boundary conditions until the model reached steady state. The future warming scenario used in this study is the Shared Socioeconomic Pathway 2, a new "middle-of-the road" scenario of future warming. The radiative forcing stabilizes at ~6.5 Wm-2 with pCO2 at ~600 matm by the year 2100. All future runs are 750 years long, start in 1750, and terminate in 2500. There is a Control run for each formulation, where the equilibrium runs were simply continued for the same 750 years.
Specified by the Principal Investigator(s)
<p>BCO-DMO Data Manager Processing Notes:<br />
* netCDF files in bundled gzip file&nbsp;(.tar.tz) added to Data Files section.</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact