http://lod.bco-dmo.org/id/dataset/783516
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
2019-12-04
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Biomass historic CMIP5 data - mean picophytoplankton surface biomass estimated for climate models under the Historical scenario
2019-12-04
publication
2019-12-04
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-12-11
publication
https://doi.org/10.1575/1912/bco-dmo.783516.1
Adam Martiny
University of California-Irvine
principalInvestigator
Pedro Flombaum
Universidad de Buenos Aires
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: Martiny, A., Flombaum, P. (2019) Biomass historic CMIP5 data - mean picophytoplankton surface biomass estimated for climate models under the Historical scenario. Biological and Chemical Oceanography Data Management Office (BCO-DMO). Dataset version 2019-12-04 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.783516.1 [access date]
Dataset Description: <p>Mean picophytoplankton surface biomass (mg/m³) estimated for the climate models under the Historical scenario. Light fields were identical across simulations. Picophytoplankton biomass results from the sum of the biomass estimated for the <em>Prochlorococcus</em>, <em>Synechococcus</em>, and picoeukaryotic phytoplankton.</p>
<p>Each cell corresponds to a 1x1 cell grid<br />
Files 90 to -90<br />
Columns 1 to 360<br />
Biomass: mg/m3<br />
Land mask NAN</p> Acquisition Description: <p>We calculated mean total picophytoplankton biomass for 2070-2099 and 1970-1999 for the RCP8.5 and historical scenarios. We imposed a maximum sea surface temperature of 30°C as model predictions of higher temperature are uncertain due to poorly constrained atmospheric convection feedbacks. We used an ensemble of eight Earth System models, CanESM2, CESM1 BGC, GFDL ESM2G, HadGEM2 ES, IPSL CM5A MR, MIROC ESM, MPI, and NorESM1 ME.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1848576 Award URL: http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1848576
Funding provided by Agencia Nacional de Promoción Científica y Tecnológica () Award Number: PICT-2017-3020
Funding provided by Universidad de Buenos Aires () Award Number: UBACyT 20020170100620BA
completed
Adam Martiny
University of California-Irvine
949-824-9713
Earth System Science & Ecology and Evolutionary Biology 3208 Croul Hall
Irvine
CA
92697
USA
amartiny@uci.edu
pointOfContact
Pedro Flombaum
Universidad de Buenos Aires
+54 11 5285 8478
Centro de Investigaciones del Mar y de la Atmósfera (CIMA) - CONICET Pabellón II 2do piso, Ciudad Universitaria
Buenos Aires
1428
Argentina
pflombaum@cima.fcen.uba.ar
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.
Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry
https://www.bco-dmo.org/project/764270
Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry
<p><em>NSF Award Abstract:</em><br />
Due to their sheer abundance and high activity, microorganisms have the potential to greatly influence how ecosystems are affected by changes in their environment. However, descriptions of microbial physiology and diversity are local and highly complex and thus rarely considered in Earth System Models. Thus, the researchers focus on a convergence research framework that can qualitatively and quantitatively integrate eco-evolutionary changes in microorganisms with global biogeochemistry. Here, the investigators will develop an approach that integrates the knowledge and tools of biologists, mathematicians, engineers, and geoscientists to understand the link between the ocean nutrient and carbon cycles. The integration of data and knowledge from diverse fields will provide a robust, biologically rich, and computationally efficient prediction for the variation in plankton resource requirements and the biogeochemical implications, addressing a fundamental challenge in ocean science. In addition, the project can serve as a road map for many other research groups facing a similar lack of convergence between biology and geoscience.</p>
<p>Traditionally, the cellular elemental ratios of Carbon, Nitrogen, and Phosphorus (C:N:P) of marine communities have been considered static at Redfield proportions but recent studies have demonstrated strong latitudinal variation. Such regional variation may have large - but poorly constrained - implications for marine biodiversity, biogeochemical functioning, and atmospheric carbon dioxide levels. As such, variations in ocean community C:N:P may represent an important biological feedback. Here, the investigators propose a convergence research framework integrating cellular and ecological processes controlling microbial resource allocations with an Earth System model. The approach combines culture experiments and omics measurements to provide a molecular understanding of cellular resource allocations. Using a mathematical framework of increasing complexity describing communicating, moving demes, the team will quantify the extent to which local mixing, environmental heterogeneity and evolution lead to systematic deviations in plankton resource allocations and C:N:P. Optimization tools from engineering science will be used to facilitate the quantitative integration of models and observations across a range of scales and complexity levels. Finally, global ocean modeling will enable understanding of how plankton resource use impacts Earth System processes. By integrating data and knowledge across fields, scales and complexity, the investigators will develop a robust link between variation in plankton C:N:P and global biogeochemical cycles.</p>
Ocean_Stoichiometry
largerWorkCitation
project
eng; USA
oceans
-180
180
-90
90
2019-12-04
0
BCO-DMO catalogue of parameters from Biomass historic CMIP5 data - mean picophytoplankton surface biomass estimated for climate models under the Historical scenario
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
371459
http://datadocs.bco-dmo.org/docs/Ocean_Stoichiometry/783516/1/data_docs/Biomass_historic_CMIP5_data.csv
download
dataset
<p>We calculated mean total picophytoplankton biomass for 2070-2099 and 1970-1999 for the RCP8.5 and historical scenarios. We imposed a maximum sea surface temperature of 30°C as model predictions of higher temperature are uncertain due to poorly constrained atmospheric convection feedbacks. We used an ensemble of eight Earth System models, CanESM2, CESM1 BGC, GFDL ESM2G, HadGEM2 ES, IPSL CM5A MR, MIROC ESM, MPI, and NorESM1 ME.</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