Dataset: Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM)

Name: Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM)
Published: 2023-02-21
Keywords: noble gas, North Atlantic, nitrogen, gas exchange, oceans

Final no updates expectedDOI: 10.26008/1912/bco-dmo.890293.1Version 1 (2023-02-21)Dataset Type:model results

Principal Investigator: Alan M. Seltzer (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Peter Barry (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William J. Jenkins (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Samar Khatiwala (University of Oxford)

Co-Principal Investigator: David P. Nicholson (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William M. Smethie Jr. (Lamont-Doherty Earth Observatory)

Co-Principal Investigator: Rachel Stanley (Wellesley College)

Co-Principal Investigator: Martin Stute (Lamont-Doherty Earth Observatory)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Probing the Ventilation Efficiency of the Deep Ocean with Conservative Dissolved Gas Tracers in Archived Samples (TTO NGs and O2)

Project: Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater (HPNGI)

Abstract

This dataset includes model simulations of the following tracers using the Transport Matrix Method (TMM): (i) new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 (30 April 2022 - 05 May 2022), and (ii) measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program. Together these measurements and model simulations provide insight i...

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File(s)	Type	Description	Action
UVic_TMM_output.nc (109.94 MB)	NetCDF	Primary data file for dataset ID 890293. Data are the sam as UVic_TMM_output.mat but in NetCDF format. netcdf UVic_TMM_output { dimensions: lon = 100 ; lat = 100 ; depth = 19 ; month = 12 ; mon = 12 ; variables: double D136Xe_model(month, depth, lat, lon) ; double D40Ar_model(month, depth, lat, lon) ; double D86Kr_model(month, depth, lat, lon) ; double DKrAr_model(month, depth, lat, lon) ; double DN2Ar_model(month, depth, lat, lon) ; double DXeAr_model(month, depth, lat, lon) ; double month(mon) ; double x(lon) ; double y(lat) ; double z(depth) ; } Variable descriptions: D136Xe_model: monthly climatologies of simulated 136Xe/129Xe solublity anomaly (in per mil; lon x lat x depth x month) D40Ar_model: monthly climatologies of simulated 40Ar/36Ar solublity anomaly (in per mil; lon x lat x depth x month) D86Kr_model: monthly climatologies of simulated 86Kr/82Kr solublity anomaly (in per mil; lon x lat x depth x month) DKrAr_model: monthly climatologies of simulated Kr/Ar solublity anomaly (in per mil; lon x lat x depth x month) DN2Ar_model: monthly climatologies of simulated N2/Ar solublity anomaly (in per mil; lon x lat x depth x month) DXeAr_model: monthly climatologies of simulated Xe/Ar solublity anomaly (in per mil; lon x lat x depth x month) month: month of year (1 to 12; Jan to Dec) x: longitude (0 to 360 degrees) y: latituide (-90 to 90 degrees) z: depth (meters)	Add to Cart Download

Supplemental File(s)	Type	Description	Action
UVic_TMM_output.mat (43.39 MB)	MATLAB Data (.mat)	Supplemental data file for dataset ID 890293. Data are the same as UVic_TMM_output.nc but in MATLAB Format. Variable descriptions: D136Xe_model: monthly climatologies of simulated 136Xe/129Xe solublity anomaly (in per mil; lon x lat x depth x month) D40Ar_model: monthly climatologies of simulated 40Ar/36Ar solublity anomaly (in per mil; lon x lat x depth x month) D86Kr_model: monthly climatologies of simulated 86Kr/82Kr solublity anomaly (in per mil; lon x lat x depth x month) DKrAr_model: monthly climatologies of simulated Kr/Ar solublity anomaly (in per mil; lon x lat x depth x month) DN2Ar_model: monthly climatologies of simulated N2/Ar solublity anomaly (in per mil; lon x lat x depth x month) DXeAr_model: monthly climatologies of simulated Xe/Ar solublity anomaly (in per mil; lon x lat x depth x month) month: month of year (1 to 12; Jan to Dec) x: longitude (0 to 360 degrees) y: latituide (-90 to 90 degrees) z: depth (meters)	Add to Cart Download

Note: all methods are described in detail in the accompanying publication currently in final review at Proceedings of the National Academy of Sciences.

All model simulations were carried out using the University of Victoria Earth System Climate Model (UVic ESCM) via the Transport Matrix Method (TMM), using an updated version of the gas exchange model of Nicholson et al. (2016) to include noble gas isotopes, N2, and different gas exchange parameterizations. A full description is included in the accompanying paper (Seltzer et al., 2023).

The BATS data and TTO data are available as related datasets at BCO-DMO. See the following:
BATS - https://www.bco-dmo.org/dataset/890342
TTO - https://www.bco-dmo.org/dataset/890427

Related Datasets

IsDerivedFrom

Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: BATS data
Relationship Description: The BATS data in dataset 890342 were used in the development of the model in dataset 890293.

Seltzer, A. M., Barry, P., Jenkins, W. J., Khatiwala, S., Nicholson, D. P., Smethie Jr., W. M., Stanley, R., Stute, M. (2023) Elemental and isotopic noble gas ratios from the Bermuda Atlantic Time-series (BATS) on cruise 10391 on R/V Atlantic Explorer (AE2208) from 30 April 2022 to 05 May 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-22 doi:10.26008/1912/bco-dmo.890342.1

IsDerivedFrom

Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: TTO data
Relationship Description: The TTO data in dataset 890427 were used in the development of the model in dataset 890293.

Seltzer, A. M., Barry, P., Jenkins, W. J., Khatiwala, S., Nicholson, D. P., Smethie Jr., W. M., Stanley, R., Stute, M. (2023) Measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program North Atlantic Survey (NAS). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-02-23 doi:10.26008/1912/bco-dmo.890427.1

Related Publications

Results

Seltzer, A. M., Nicholson, D. P., Smethie, W. M., Tyne, R. L., Le Roy, E., Stanley, R. H. R., Stute, M., Barry, P. H., McPaul, K., Davidson, P. W., Chang, B. X., Rafter, P. A., Lethaby, P., Johnson, R. J., Khatiwala, S., & Jenkins, W. J. (2023). Dissolved gases in the deep North Atlantic track ocean ventilation processes. Proceedings of the National Academy of Sciences, 120(11). https://doi.org/10.1073/pnas.2217946120

Methods

Nicholson, D. P., Khatiwala, S., & Heimbach, P. (2016). Noble gas tracers of ventilation during deep-water formation in the Weddell Sea. IOP Conference Series: Earth and Environmental Science, 35, 012019. doi:10.1088/1755-1315/35/1/012019

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Dataset: Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM)

Final no updates expectedDOI: 10.26008/1912/bco-dmo.890293.1Version 1 (2023-02-21)Dataset Type:model results

Principal Investigator: Alan M. Seltzer (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Peter Barry (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William J. Jenkins (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Samar Khatiwala (University of Oxford)

Co-Principal Investigator: David P. Nicholson (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William M. Smethie Jr. (Lamont-Doherty Earth Observatory)

Co-Principal Investigator: Rachel Stanley (Wellesley College)

Co-Principal Investigator: Martin Stute (Lamont-Doherty Earth Observatory)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Probing the Ventilation Efficiency of the Deep Ocean with Conservative Dissolved Gas Tracers in Archived Samples (TTO NGs and O2)

Project: Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater (HPNGI)

Abstract

Cite Dataset

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Views

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Downloads

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File(s)	Type	Description	Action
UVic_TMM_output.nc (109.94 MB)	NetCDF	Primary data file for dataset ID 890293. Data are the sam as UVic_TMM_output.mat but in NetCDF format. netcdf UVic_TMM_output { dimensions: lon = 100 ; lat = 100 ; depth = 19 ; month = 12 ; mon = 12 ; variables: double D136Xe_model(month, depth, lat, lon) ; double D40Ar_model(month, depth, lat, lon) ; double D86Kr_model(month, depth, lat, lon) ; double DKrAr_model(month, depth, lat, lon) ; double DN2Ar_model(month, depth, lat, lon) ; double DXeAr_model(month, depth, lat, lon) ; double month(mon) ; double x(lon) ; double y(lat) ; double z(depth) ; } Variable descriptions: D136Xe_model: monthly climatologies of simulated 136Xe/129Xe solublity anomaly (in per mil; lon x lat x depth x month) D40Ar_model: monthly climatologies of simulated 40Ar/36Ar solublity anomaly (in per mil; lon x lat x depth x month) D86Kr_model: monthly climatologies of simulated 86Kr/82Kr solublity anomaly (in per mil; lon x lat x depth x month) DKrAr_model: monthly climatologies of simulated Kr/Ar solublity anomaly (in per mil; lon x lat x depth x month) DN2Ar_model: monthly climatologies of simulated N2/Ar solublity anomaly (in per mil; lon x lat x depth x month) DXeAr_model: monthly climatologies of simulated Xe/Ar solublity anomaly (in per mil; lon x lat x depth x month) month: month of year (1 to 12; Jan to Dec) x: longitude (0 to 360 degrees) y: latituide (-90 to 90 degrees) z: depth (meters)	Add to Cart Download

Supplemental File(s)	Type	Description	Action
UVic_TMM_output.mat (43.39 MB)	MATLAB Data (.mat)	Supplemental data file for dataset ID 890293. Data are the same as UVic_TMM_output.nc but in MATLAB Format. Variable descriptions: D136Xe_model: monthly climatologies of simulated 136Xe/129Xe solublity anomaly (in per mil; lon x lat x depth x month) D40Ar_model: monthly climatologies of simulated 40Ar/36Ar solublity anomaly (in per mil; lon x lat x depth x month) D86Kr_model: monthly climatologies of simulated 86Kr/82Kr solublity anomaly (in per mil; lon x lat x depth x month) DKrAr_model: monthly climatologies of simulated Kr/Ar solublity anomaly (in per mil; lon x lat x depth x month) DN2Ar_model: monthly climatologies of simulated N2/Ar solublity anomaly (in per mil; lon x lat x depth x month) DXeAr_model: monthly climatologies of simulated Xe/Ar solublity anomaly (in per mil; lon x lat x depth x month) month: month of year (1 to 12; Jan to Dec) x: longitude (0 to 360 degrees) y: latituide (-90 to 90 degrees) z: depth (meters)	Add to Cart Download

Note: all methods are described in detail in the accompanying publication currently in final review at Proceedings of the National Academy of Sciences.

The BATS data and TTO data are available as related datasets at BCO-DMO. See the following:
BATS - https://www.bco-dmo.org/dataset/890342
TTO - https://www.bco-dmo.org/dataset/890427

Related Datasets

IsDerivedFrom

Related Publications

Results

Methods

Dataset: Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM)

Principal Investigator: Alan M. Seltzer (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Peter Barry (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William J. Jenkins (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Samar Khatiwala (University of Oxford)

Co-Principal Investigator: David P. Nicholson (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William M. Smethie Jr. (Lamont-Doherty Earth Observatory)

Co-Principal Investigator: Rachel Stanley (Wellesley College)

Co-Principal Investigator: Martin Stute (Lamont-Doherty Earth Observatory)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Probing the Ventilation Efficiency of the Deep Ocean with Conservative Dissolved Gas Tracers in Archived Samples (TTO NGs and O2)

Project: Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater (HPNGI)

Abstract

Metadata

XXX

XX

X

Related Datasets

Related Publications

Dataset: Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM)

Principal Investigator: Alan M. Seltzer (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Peter Barry (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William J. Jenkins (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Samar Khatiwala (University of Oxford)

Co-Principal Investigator: David P. Nicholson (Woods Hole Oceanographic Institution)

Co-Principal Investigator: William M. Smethie Jr. (Lamont-Doherty Earth Observatory)

Co-Principal Investigator: Rachel Stanley (Wellesley College)

Co-Principal Investigator: Martin Stute (Lamont-Doherty Earth Observatory)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Probing the Ventilation Efficiency of the Deep Ocean with Conservative Dissolved Gas Tracers in Archived Samples (TTO NGs and O2)

Project: Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater (HPNGI)

Abstract

Metadata

XXX

XX

X

Related Datasets

Related Publications