http://lod.bco-dmo.org/id/dataset/816978
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
2020-06-29
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
An objective map of global dissolved oxygen anomaly data based on World Ocean Database (2018) from 1965 to 2015
2021-04-20
publication
2021-04-20
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2021-03-29
publication
https://doi.org/10.26008/1912/bco-dmo.816978.1
Takamitsu Ito
Georgia Institute of Technology
principalInvestigator
Curtis A. Deutsch
University of Washington
principalInvestigator
Matthew H. Long
National Center for Atmospheric Research
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: Ito, T., Deutsch, C., Long, M. (2021) An objective map of global dissolved oxygen anomaly data based on World Ocean Database (2013) from 1965 to 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2021-04-20 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.816978.2 [access date]
Dataset Description: <p>A results paper for this dataset is in preparation for the&nbsp;Geoscience Data Journal as&nbsp;Ito T. (2021) Optimal interpolation of global dissolved oxygen: 1965-2015.</p> Methods and Sampling: <p>This dataset provides a gridded map of dissolved oxygen for the global oceans using optimal interpolation method solely based on the Winker O2 measurements from the World Ocean Database 2018.&nbsp; The resulting gridded product includes full-depth map of dissolved oxygen from 1965 to 2015 with uncertainty estimates. The uncertainty can come from unresolved small-scale and high frequency variability and mapping errors. The multi-decadal trend of global dissolved oxygen is in the range of -281 to -373 Tmol/decade (95% confidence interval) with the median of -328 Tmol/decade. This estimate is more conservative than previous works. In optimal interpolation, the grid points far from the observations are essentially assigned to the climatology. The results from this study likely provide a lower bound estimate of the global oxygen loss.<br />
<br />
Further methodology details are included in the publication in preparation for the Geoscience Data Journal as Ito T. (2021) Optimal interpolation of global dissolved oxygen: 1965-2015.<br />
<br />
This data is open for all. While it is not necessary, you can email taka.ito (at) eas.gatech.edu if you are using this data and are interested in future updates or bug fixes.</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737158 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737158
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737188 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737188
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1737282 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1737282
completed
Takamitsu Ito
Georgia Institute of Technology
404-894-3985
School of Earth and Atmospheric Sciences 311 Ferst Drive
Atlanta
GA
30332
USA
taka.ito@eas.gatech.edu
pointOfContact
Curtis A. Deutsch
University of Washington
609-258-1314
153 Guyot Hall
Princeton
NJ
08544
USA
cdeutsch@princeton.edu
pointOfContact
Matthew H. Long
National Center for Atmospheric Research
508-289-2798
Department of Marine Chemistry and Geochemistry MS #25, 266 Woods Hole Rd.
Woods Hole
MA
02543
USA
mlong@whoi.edu
pointOfContact
asNeeded
Dataset Version: 2
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.
Collaborative Research: Combining Theory and Observations to Constrain Global Ocean Deoxygenation
https://osprey.bco-dmo.org/project/757378
Collaborative Research: Combining Theory and Observations to Constrain Global Ocean Deoxygenation
<p>NSF Abstract:</p>
<p>This project will use a combination of ocean observations and modeling to understand why the dissolved oxygen concentration in the ocean changes on timescales of years to decades. As oceans absorb heat, its oxygen content is expected to decline which will affect marine ecosystems and oxygen-sensitive biochemical reactions. In turn, biochemical processes can affect the oxygen level. Understanding why oceanic oxygen changes remains limited due to sparse data and the fact that it naturally fluctuates. Furthermore, state-of-the-art Earth System Models, used to develop future projections, struggle to skillfully simulate present-day oxygen distributions. Given model biases, there is a clear need to re-calibrate model-based projections based on informed interpretations of available observations. The intellectual merit of this study is to perform a series of computational simulations to quantify linkages between the patterns of climate variability, ocean heating, and oxygen content for different regions. In conjunction with a novel synthesis of available observational data, this modeling study will develop a more comprehensive model for evaluating oxygen variability and change, thereby reducing uncertainty in future projections under climate forcing scenarios. Broader impacts of this study includes education and outreach about decreasing ocean concentrations in the ocean and its disruptive impacts on ocean biogeochemical cycles and marine ecosystems. Two Ph.D. students and a postdoctoral scientist will be trained under the supervision of the PIs.</p>
<p>
Ocean deoxygenation is a direct consequence of ocean heat uptake; as ocean waters warm, dissolved oxygen (O2) concentrations decline, with profound influences on marine ecosystem and redox-sensitive biogeochemical cycling. Existing observations are characterized by significant interannual to decadal fluctuations. Natural variability challenges detection and attribution of human-driven trends; however, it can also be interrogated to provide mechanistic insight. State-of-the-art Earth System Models still struggle to skillfully simulate present-day O2 distributions but these models are useful because they invoke mechanistic representations of key processes. The objective of this project is to improve our understanding of the mechanisms behind interannual and decadal variability of O2 globally and regionally. Low- and high-latitude regions exhibit distinct patterns in dissolved oxygen and ocean heat content. In order to isolate the impact of physical and biological controls on O2 variability, a suite of numerical simulations will be conducted, including some with a global eddy-resolving configuration. Combining observational and model-based analyses will enable quantitative assessments about the relation between ocean heat uptake and deoxygenation, and linkages to climate variability and trends.</p>
Global Ocean Deoxygenation
largerWorkCitation
project
eng; USA
oceans
-180
180
-90
90
1965-01-01
2015-01-01
0
BCO-DMO catalogue of parameters from An objective map of global dissolved oxygen anomaly data based on World Ocean Database (2018) from 1965 to 2015
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
8195956545
https://darchive.mblwhoilibrary.org/bitstream/1912/26982/1/o2_aan_mcl1965-2015_rev1.nc
download
816228712
https://darchive.mblwhoilibrary.org/bitstream/1912/26879/1/o2_aan_mcl1950-2016_0147_QC3.nc
download
https://doi.org/10.26008/1912/bco-dmo.816978.1
download
onLine
dataset
<p>This dataset provides a gridded map of dissolved oxygen for the global oceans using optimal interpolation method solely based on the Winker O2 measurements from the World Ocean Database 2018.&nbsp; The resulting gridded product includes full-depth map of dissolved oxygen from 1965 to 2015 with uncertainty estimates. The uncertainty can come from unresolved small-scale and high frequency variability and mapping errors. The multi-decadal trend of global dissolved oxygen is in the range of -281 to -373 Tmol/decade (95% confidence interval) with the median of -328 Tmol/decade. This estimate is more conservative than previous works. In optimal interpolation, the grid points far from the observations are essentially assigned to the climatology. The results from this study likely provide a lower bound estimate of the global oxygen loss.<br />
<br />
Further methodology details are included in the publication in preparation for the Geoscience Data Journal as Ito T. (2021) Optimal interpolation of global dissolved oxygen: 1965-2015.<br />
<br />
This data is open for all. While it is not necessary, you can email taka.ito (at) eas.gatech.edu if you are using this data and are interested in future updates or bug fixes.</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Data Manager Processing Notes:<br />
* Version 2 replaces version 1 on 2021-04-20. Version 1 of this dataset is still available as an archived copy at https://doi.org/10.26008/1912/bco-dmo.816978.1.<br />
* Replaced version 1 data file&nbsp; o2_aan_mcl1950-2016_0147_QC3.nc with new version 2 file&nbsp;o2_aan_mcl1965-2015_rev1.nc.<br />
<br />
Major updates in this version (2) compared to Version 1:<br />
** The new dataset includes error estimates for each grid cell due to mapping error, unresolved small-scale and high-frequency variability<br />
** The new data set includes full water column data. (The previous version was from the surface to 1,000m depth. )<br />
** Time range has changed from 1965 to 2015.&nbsp;</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