Notice

This record is currently in review state, the data hasn’t been validated yet.

Show simple item record

dc.contributor.author
Gruber, Nicolas
dc.contributor.contactPerson
Gruber, Nicolas
dc.contributor.producer
Clement, Dominic
dc.contributor.projectLeader
Gruber, Nicolas
dc.date.accessioned
2019-10-02T10:30:22Z
dc.date.available
2018-02-23T22:21:19Z
dc.date.available
2019-10-02T10:30:22Z
dc.date.issued
2018
dc.identifier.uri
http://hdl.handle.net/20.500.11850/243986
dc.description.abstract
The determination of the decadal change in anthropogenic CO2 in the global ocean from repeat hydrographic surveys represents a formidable challenge, which we address here by introducing a seamless new method. This method builds on the extended multiple linear regression (eMLR) approach [Friis et al., 2005] to identify the anthropogenic CO2 signal, but in order to improve the robustness of this method, we fit C* [Gruber and Sarmiento, 2002] rather than dissolved inorganic carbon and use a probabilistic method for the selection of the predictors. In order to account for the multi-year nature of the surveys, we adjust all C* observations of a particular observing period to a common reference year by assuming a transient steady-state. We finally use the eMLR models together with global gridded climatological distributions of the predictors to map the estimated change in an thropogenic CO2 to the global ocean. Testing this method with synthetic data generated from a hindcast simulation with an ocean model reveals that the method is able to reconstruct the change in anthropogenic CO2 with only a small global bias (<5%). Within ocean basins, the errors can be larger, mostly driven by changes in ocean circulation. Overall, we conclude from the model that the method has an accuracy of retrieving the column integrated change in anthropogenic CO2 of about 10% at the scale of whole ocean basins. We expect that this uncertainty needs to be doubled to about 20% when the change in anthropogenic CO2 is reconstructed from observations.
en_US
dc.format
netcdf
en_US
dc.format
xls spreadsheet
en_US
dc.language.iso
en
en_US
dc.title
Data supporting The eMLR(C*) method to determine decadal changes in the global ocean storage of anthropogenic CO2
en_US
dc.type
Dataset
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03731 - Gruber, Nicolas / Gruber, Nicolas
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02721 - Inst. f. Biogeochemie u. Schadstoffdyn. / Inst. Biogeochem. and Pollutant Dynamics::03731 - Gruber, Nicolas / Gruber, Nicolas
ethz.relation.isSupplementTo
handle/20.500.11850/265807
ethz.date.deposited
2018-02-23T22:21:25Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.doipreview
Yes
en_US
ethz.description.methods
This data set contains the relevant data and information associated with the publication by Clement and Gruber in Global Biogeochemical Cycles. Concretely, the following five items are included. 1) netcdf files with the synthetic data from the model runs used to test the method (constant and variable climate) 2) netcdf files with estimates of anthropogenic CO2 by the standard method and the sensitivity studies 3) xls file explaining the sensitivity studies and the resulting inventories 4) Matlab scripts implementing the eMLR(C*) method
en_US
ethz.rosetta.exportRequired
true
ethz.COinS
ctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.atitle=Data%20supporting%20The%20eMLR(C*)%20method%20to%20determine%20decadal%20changes%20in%20the%20global%20ocean%20storage%20of%20anthropogenic%20CO2&amp;rft.date=2018&amp;rft.au=Gruber,%20Nicolas&amp;rft.genre=unknown&amp;rft.btitle=Data%20supporting%20The%20eMLR(C*)%20method%20to%20determine%20decadal%20changes%20in%20the%20global%20ocean%20storage%20of%20anthropogenic%20CO2
 Search via SFX

Files in this item

FilesSizeFormatOpen in viewer

There are no files associated with this item.

Publication type

Show simple item record