http://lod.bco-dmo.org/id/dataset/939274
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
2024-10-03
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Global reconstructions of particle biovolume, size distribution, and carbon export flux validated for the upper 2000m of the water column from particle profiles conducted during cruises from 2008 to 2020
2024-10-03
publication
2024-10-03
revision
BCO-DMO Linked Data URI
2024-10-03
creation
http://lod.bco-dmo.org/id/dataset/939274
Daniel Clements
University of California-Los Angeles
principalInvestigator
Daniele Bianchi
University of California-Los Angeles
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: Clements, D., Bianchi, D. (2024) Global reconstructions of particle biovolume, size distribution, and carbon export flux validated for the upper 2000m of the water column from particle profiles conducted during cruises from 2008 to 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-10-03 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/939274 [access date]
Dataset Description: <p>These data will be published in the pending results paper Clements et al. (2024) "Modeling the Diel Vertical Migration and Active Carbon Transport of zooplankton."</p> Methods and Sampling: <p>This work is based on the compilation of over 6800 profiles of particulate matter observations from Underwater Vision Profilers (UVP5) (Rainer, 2021).&nbsp;The biovolume of the particle size distribution is calculated as the equivalent spherical volume of the particle size distribution &nbsp;(PSD), by summing the product of particle counts time particle volume in each size class. The slope of the PSD is calculated assuming a power law distribution for the particle abundance, by linear least square fit of the log of particle counts vs. the log of particle size. These quantities are estimated for the upper 2000m of the water column (Global_POC_Export_2024.nc). To convert sparse observations to a global climatology, we trained 50 ensembles of regressions trees (Random Forests, RF) to predict biovolume and slope based on their relationship to well-sampled physical and biogeochemical predictors (predictors_3D.mat).</p>
<p>We calculate the particle sinking speed and carbon content by combining PSD reconstruction (biovolume and slope) with an empirical relationship between particle size, carbon content and sinking speed, the parameters of which are optimized to match in situ particle flux observations (Mouw et al. 2016). The flux values are calculated as the sum of the PSD times the sinking carbon parameters, for each grid cell. The error for reconstructed quantities is given by the standard deviation of 50 independent realizations of the RF reconstructions.<br />
<br />
Note: The "Deployments" section of this dataset is empty.&nbsp; See the supplemental file "Cruise List" cruise_list.csv which contains the cruise identifier in EcoPart (EcoTaxa), year (2008-2020), and number of profiles conducted during the cruise. &nbsp;More information about these cruises can be found at EcoTaxa (http://ecotaxa.obs-vlfr.fr).&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2342988 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2342988
onGoing
Daniel Clements
University of California-Los Angeles
dclements@bigelow.org
pointOfContact
Daniele Bianchi
University of California-Los Angeles
310-825-6936
UCLA Atmospheric & Oceanic Sciences Box 951565
Los Angeles
CA
90095
USA
dbianchi@atmos.ucla.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Underwater Vision Profiler, version 5 (UVP5).
theme
None, User defined
Underwater Vision Profiler 5
instrument
BCO-DMO Standard Instruments
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.
Collaborative Research: Opening the black box of oxygen deficient zone biogeochemistry through integrative tracers
https://osprey.bco-dmo.org/project/939276
Collaborative Research: Opening the black box of oxygen deficient zone biogeochemistry through integrative tracers
<p>NSF abstract:</p>
<p>The oxygen deficient zones are regions in the ocean where dissolved oxygen disappears. These regions harbor unique ecosystems only found in waters without oxygen, and they are important for Earth’s climate. Specifically, the production of nitrogen gas by two microbial processes, anammox and denitrification can control how productive the oceans are. Yet how much each process shapes ocean chemistry within these areas remains unknown. This project aims to study the oxygen deficient waters of the eastern tropical North Pacific ocean to better understand the mechanisms shaping marine nitrogen and carbon chemistry. Through this work, the project will train undergraduate and graduate students at three universities. The project aims to broaden participation in and understanding of ocean sciences by developing public videos about the methods used and the science behind the project.</p>
<p>The investigators will conduct a research cruise in the eastern tropical North Pacific ocean, the largest oxygen deficient zone. They will measure many nutrients including inorganic carbon and nitrogen and natural abundance stable isotopes of nitrogen compounds. They will use these patterns to establish how the major reactions work together to control nitrogen cycling and gaseous nitrogen production. In addition, a high-resolution model of the ocean will reveal the influence of ocean mixing, set the timescales for reactions, and enable synthesis of the measurements into a global context. The work will determine how the input of oxygen through mixing controls chemistry, and it will distinguish between the processes restricted to the permanently anoxic core vs. those that tolerate (or are enhanced by) occasional oxygenation. Overall, the project will provide new information about nitrogen cycling pathways (anammox, denitrification, and nitrite oxidation) across the region and link the resulting isotopic signals to the global nitrogen budget.</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>
O2 Deficient Zone Tracers
largerWorkCitation
project
eng; USA
oceans
-180
180
-90
90
2008-10-03
2018-10-03
eastern tropical North Pacific ocean
0
BCO-DMO catalogue of parameters from Global reconstructions of particle biovolume, size distribution, and carbon export flux validated for the upper 2000m of the water column from particle profiles conducted during cruises from 2008 to 2020
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
2786
https://datadocs.bco-dmo.org/docs/305/Ocean_Particles_and_Microenvironments/856942/1/data_docs/cruise_list.csv
Cruise List
A list of cruises during which the particle profiles were conducted. More information about these cruises can be found at EcoTaxa (http://ecotaxa.obs-vlfr.fr).
Parameters (data column name, and description):
"Cruise", Cruise identifier in EcoPart (EcoTaxa)
"Year_of_cruise_start",Year of cruise start in format yyyy
"Number_of_profiles", Number of profiles from the cruise
download
https://osprey.bco-dmo.org/dataset/939274/data/download
download
onLine
dataset
<p>This work is based on the compilation of over 6800 profiles of particulate matter observations from Underwater Vision Profilers (UVP5) (Rainer, 2021).&nbsp;The biovolume of the particle size distribution is calculated as the equivalent spherical volume of the particle size distribution &nbsp;(PSD), by summing the product of particle counts time particle volume in each size class. The slope of the PSD is calculated assuming a power law distribution for the particle abundance, by linear least square fit of the log of particle counts vs. the log of particle size. These quantities are estimated for the upper 2000m of the water column (Global_POC_Export_2024.nc). To convert sparse observations to a global climatology, we trained 50 ensembles of regressions trees (Random Forests, RF) to predict biovolume and slope based on their relationship to well-sampled physical and biogeochemical predictors (predictors_3D.mat).</p>
<p>We calculate the particle sinking speed and carbon content by combining PSD reconstruction (biovolume and slope) with an empirical relationship between particle size, carbon content and sinking speed, the parameters of which are optimized to match in situ particle flux observations (Mouw et al. 2016). The flux values are calculated as the sum of the PSD times the sinking carbon parameters, for each grid cell. The error for reconstructed quantities is given by the standard deviation of 50 independent realizations of the RF reconstructions.<br />
<br />
Note: The "Deployments" section of this dataset is empty.&nbsp; See the supplemental file "Cruise List" cruise_list.csv which contains the cruise identifier in EcoPart (EcoTaxa), year (2008-2020), and number of profiles conducted during the cruise. &nbsp;More information about these cruises can be found at EcoTaxa (http://ecotaxa.obs-vlfr.fr).&nbsp;</p>
Specified by the Principal Investigator(s)
<p>The code used to produce these datasets can be found on a public GitHub repository at https://github.com/djclements1/Global-POC-Flux (DOI: 10.5281/zenodo.12976820).</p>
Specified by the Principal Investigator(s)
* Submitted .nc output file attached as the primary data file for this dataset. predictor .mat and .csv parameter descriptions were added as supplemental files.
.nc header information obtained using the Panoply software (since was not able to use "ncdump -h" as configured on our system due to the HDF5 format.
Specified by BCO-DMO Data Managers
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
Underwater Vision Profiler, version 5 (UVP5).
Underwater Vision Profiler, version 5 (UVP5).
PI Supplied Instrument Name: Underwater Vision Profiler, version 5 (UVP5). PI Supplied Instrument Description:Observations of particle abundance and biovolume were made with the Underwater Vision Profiler, version 5 (UVP5). Instrument Name: Underwater Vision Profiler 5 Instrument Short Name:UVP5 Instrument Description: A description of the UVP5 instrument can be found in the following publication: Picheral, M., L. Guidi, L. Stemmann, D. M. Karl, G. Iddaoud, and G. Gorsky. 2010. The Underwater Vision Profiler 5: An advanced instrument for high spatial resolution studies of particle size spectra and zooplankton. Limnol. Oceanogr. Meth. 8: 462-473. (doi: 10.4319/lom.2010.8.462)