Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"

This repository contains the key supporting data (in the netcdf format) for the following paper: Zhang, R. and M. Thomas, 2021, Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation, Communications Earth &a...

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Main Authors: Zhang, Rong, Thomas, Matthew
Format: Dataset
Language:unknown
Published: Zenodo 2021
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Online Access:https://dx.doi.org/10.5281/zenodo.4592442
https://zenodo.org/record/4592442
id ftdatacite:10.5281/zenodo.4592442
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This repository contains the key supporting data (in the netcdf format) for the following paper: Zhang, R. and M. Thomas, 2021, Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation, Communications Earth & Environment, https://doi.org/10.1038/s43247-021-00182-y. In this study, Robust Diagnostic Calculations (RDC) are conducted using a high-resolution global fully coupled climate model, in which the ocean potential temperature and salinity are relaxed back to the observed long-term mean hydrographic data to provide a holistic picture of the long-term mean AMOC structure at northern high latitudes over the past several decades. For comparison, the high-resolution global coupled climate model used for the RDC experiments in this study is also employed to generate a present-day control simulation. Descriptions of data files in this repository: 1. Mean sea surface height (SSH, in unit of m) from Robust Diagnostic Calculations (RDC) and the control simulation (MODEL), as shown in Fig. 2b,c in the paper. All are referenced to their own averages over the entire domain (80 o W-20 o E, 30 o -80 o N). RDC_SSH_30N80N_80w20E.nc MODEL_SSH_30N80N_80w20E.nc 2. Mean AMOC streamfunctions (Sv) across the OSNAP section, in density-space (potential density \(\sigma_0, kg/m^3\) ) and depth-space (z, m) from RDC and MODEL, as shown in Fig. 3 in the paper. OSNAP West: RDC_moc_sigma0_OSNAP_West.nc RDC_moc_z_OSNAP_West.nc MODEL_moc_sigma0_OSNAP_West.nc MODEL_moc_z_OSNAP_East.nc OSNAP East: RDC_moc_sigma0_OSNAP_East.nc RDC_moc_z_OSNAP_East.nc MODEL_moc_sigma0_OSNAP_East.nc MODEL_moc_z_OSNAP_West.nc Entire OSNAP section: RDC_moc_sigma0_OSNAP_Total.nc RDC_moc_z_OSNAP_Total.nc MODEL_moc_sigma0_OSNAP_Total.nc MODEL_moc_z_OSNAP_Total.nc 3. Mean velocity (m/s) and potential density \((\sigma_0, kg/m^3)\) across the OSNAP section from RDC and MODEL, as shown in Fig. 4b,c in the paper. RDC_velocity_OSNAP.nc RDC_sigma0_OSNAP.nc MODEL_velocity_OSNAP.nc MODEL_sigma0_OSNAP.nc 4. Mean -z diagram of AMOC transport (Sv), i.e. integrated volume transport across OSNAP West and OSNAP East over each potential density \((\sigma_0, kg/m^3)\) bin and depth (z, m) bin, derived from OSNAP observations (OBS), RDC, and MODEL, as shown in Fig. 6 in the paper. OBS_transport_sigma0-z_OSNAP_West.nc OBS_transport_sigma0-z_OSNAP_East.nc RDC_transport_sigma0-z_OSNAP_West.nc RDC_transport_sigma0-z_OSNAP_East.nc MODEL_transport_sigma0-z_OSNAP_West.nc MODEL_transport_sigma0-z_OSNAP_East.nc 5. Mean AMOC streamfunctions (Sv) across Arctic-Atlantic gateways sections in density-space (potential density \(\sigma_0, kg/m^3\)) and depth-space (z, m) from RDC and MODEL, as shown in Fig. 7 in the paper. Section across the Fram Strait and Barents Sea Opening: RDC_moc_sigma0_FS_BSO.nc RDC_moc_z_FS_BSO.nc MODEL_moc_sigma0_FS_BSO.nc MODEL_moc_z_FS_BSO.nc Section across 68 o N in Nordic Seas: RDC_moc_sigma0_NS_68N.nc RDC_moc_z_NS_68N.nc MODEL_moc_sigma0_NS_68N.nc MODEL_moc_z_NS_68N.nc Section across the Greenland-Scotland Ridge (GSR): RDC_moc_sigma0_GSR.nc RDC_moc_z_GSR.nc MODEL_moc_sigma0_GSR.nc MODEL_moc_z_GSR.nc 6. Mean velocity (m/s) and potential density \((\sigma_0, kg/m^3)\) across Arctic-Atlantic gateways sections from RDC and MODEL, as shown in Fig. 8 in the paper. Section across the Fram Strait and Barents Sea Opening: RDC_velocity_FS_BSO.nc RDC_sigma0_FS_BSO.nc MODEL_velocity_FS_BSO.nc MODEL_sigma0_FS_BSO.nc Section across 68 o N in Nordic Seas: RDC_velocity_NS_68N.nc RDC_sigma0_NS_68N.nc MODEL_velocity_NS_68N.nc MODEL_sigma0_NS_68N.nc Section across the Greenland-Scotland Ridge (GSR), also called the Greenland-Iceland-Scotland (GIS) Ridge: RDC_velocity_GSR.nc RDC_sigma0_GSR.nc MODEL_velocity_GSR.nc MODEL_sigma0_GSR.nc Acknowledgements We acknowledge the use of the following datasets and model code in this study: The World Ocean Atlas 2013 (WOA13) data were downloaded from the NOAA National Centers for Environmental Information (formerly the National Oceanographic Data) https://www.nodc.noaa.gov/cgi-bin/OC5/woa13/woa13.pl. The CSIRO ATLAS of REGIONAL SEAS 2009 version (CARS2009) data (http://www.marine.csiro.au/~dunn/cars2009/) were developed and provided by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Marine and Atmospheric Research, and downloaded from http://www.marine.csiro.au/atlas/. The climatological surface wind stress data are from the European Centre for Medium-range Weather Forecast (ECMWF): The ERA-Interim reanalysis data, Copernicus Climate Change Service (C3S) (accessed September 18, 2019), available from: https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim. The observed mean dynamic topography data were produced by CLS and distributed by Aviso+ with support from Cnes (https://www.aviso.altimetry.fr/), and downloaded from ftp://ftp-access.aviso.altimetry.fr/auxiliary/mdt/mdt_cnes_cls2013_global/. Data from the full OSNAP (Overturning in the Subpolar North Atlantic Program) array for the first 21 months (31-Jul-2014 to 20-Apr-2016) were downloaded from https://www.o-snap.org/. OSNAP data were collected and made freely available by the OSNAP project and all the national programs that contribute to it (www.o-snap.org). The code of the Geophysical Fluid Dynamics Laboratory (GFDL) coupled climate model version 2.5 (CM2.5) used in this study is publicly available at https://www.gfdl.noaa.gov/cm2-5-and-flor-quickstart/. The relevant citations for the above datasets and model code are listed in Zhang and Thomas, 2021.
format Dataset
author Zhang, Rong
Thomas, Matthew
spellingShingle Zhang, Rong
Thomas, Matthew
Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
author_facet Zhang, Rong
Thomas, Matthew
author_sort Zhang, Rong
title Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
title_short Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
title_full Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
title_fullStr Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
title_full_unstemmed Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation"
title_sort supporting data for "horizontal circulation across density surfaces contributes substantially to the long-term mean northern atlantic meridional overturning circulation"
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.4592442
https://zenodo.org/record/4592442
geographic Arctic
Barents Sea
Greenland
geographic_facet Arctic
Barents Sea
Greenland
genre Arctic
Barents Sea
Climate change
Fram Strait
Greenland
Greenland-Scotland Ridge
Iceland
Nordic Seas
North Atlantic
genre_facet Arctic
Barents Sea
Climate change
Fram Strait
Greenland
Greenland-Scotland Ridge
Iceland
Nordic Seas
North Atlantic
op_relation https://dx.doi.org/10.5281/zenodo.4592443
https://dx.doi.org/10.5281/zenodo.4749734
op_rights Embargoed Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/embargoedAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4592442
https://doi.org/10.5281/zenodo.4592443
https://doi.org/10.5281/zenodo.4749734
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spelling ftdatacite:10.5281/zenodo.4592442 2023-05-15T15:18:44+02:00 Supporting Data for "Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation" Zhang, Rong Thomas, Matthew 2021 https://dx.doi.org/10.5281/zenodo.4592442 https://zenodo.org/record/4592442 unknown Zenodo https://dx.doi.org/10.5281/zenodo.4592443 https://dx.doi.org/10.5281/zenodo.4749734 Embargoed Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/embargoedAccess CC-BY dataset Dataset 2021 ftdatacite https://doi.org/10.5281/zenodo.4592442 https://doi.org/10.5281/zenodo.4592443 https://doi.org/10.5281/zenodo.4749734 2021-11-05T12:55:41Z This repository contains the key supporting data (in the netcdf format) for the following paper: Zhang, R. and M. Thomas, 2021, Horizontal circulation across density surfaces contributes substantially to the long-term mean northern Atlantic Meridional Overturning Circulation, Communications Earth & Environment, https://doi.org/10.1038/s43247-021-00182-y. In this study, Robust Diagnostic Calculations (RDC) are conducted using a high-resolution global fully coupled climate model, in which the ocean potential temperature and salinity are relaxed back to the observed long-term mean hydrographic data to provide a holistic picture of the long-term mean AMOC structure at northern high latitudes over the past several decades. For comparison, the high-resolution global coupled climate model used for the RDC experiments in this study is also employed to generate a present-day control simulation. Descriptions of data files in this repository: 1. Mean sea surface height (SSH, in unit of m) from Robust Diagnostic Calculations (RDC) and the control simulation (MODEL), as shown in Fig. 2b,c in the paper. All are referenced to their own averages over the entire domain (80 o W-20 o E, 30 o -80 o N). RDC_SSH_30N80N_80w20E.nc MODEL_SSH_30N80N_80w20E.nc 2. Mean AMOC streamfunctions (Sv) across the OSNAP section, in density-space (potential density \(\sigma_0, kg/m^3\) ) and depth-space (z, m) from RDC and MODEL, as shown in Fig. 3 in the paper. OSNAP West: RDC_moc_sigma0_OSNAP_West.nc RDC_moc_z_OSNAP_West.nc MODEL_moc_sigma0_OSNAP_West.nc MODEL_moc_z_OSNAP_East.nc OSNAP East: RDC_moc_sigma0_OSNAP_East.nc RDC_moc_z_OSNAP_East.nc MODEL_moc_sigma0_OSNAP_East.nc MODEL_moc_z_OSNAP_West.nc Entire OSNAP section: RDC_moc_sigma0_OSNAP_Total.nc RDC_moc_z_OSNAP_Total.nc MODEL_moc_sigma0_OSNAP_Total.nc MODEL_moc_z_OSNAP_Total.nc 3. Mean velocity (m/s) and potential density \((\sigma_0, kg/m^3)\) across the OSNAP section from RDC and MODEL, as shown in Fig. 4b,c in the paper. RDC_velocity_OSNAP.nc RDC_sigma0_OSNAP.nc MODEL_velocity_OSNAP.nc MODEL_sigma0_OSNAP.nc 4. Mean -z diagram of AMOC transport (Sv), i.e. integrated volume transport across OSNAP West and OSNAP East over each potential density \((\sigma_0, kg/m^3)\) bin and depth (z, m) bin, derived from OSNAP observations (OBS), RDC, and MODEL, as shown in Fig. 6 in the paper. OBS_transport_sigma0-z_OSNAP_West.nc OBS_transport_sigma0-z_OSNAP_East.nc RDC_transport_sigma0-z_OSNAP_West.nc RDC_transport_sigma0-z_OSNAP_East.nc MODEL_transport_sigma0-z_OSNAP_West.nc MODEL_transport_sigma0-z_OSNAP_East.nc 5. Mean AMOC streamfunctions (Sv) across Arctic-Atlantic gateways sections in density-space (potential density \(\sigma_0, kg/m^3\)) and depth-space (z, m) from RDC and MODEL, as shown in Fig. 7 in the paper. Section across the Fram Strait and Barents Sea Opening: RDC_moc_sigma0_FS_BSO.nc RDC_moc_z_FS_BSO.nc MODEL_moc_sigma0_FS_BSO.nc MODEL_moc_z_FS_BSO.nc Section across 68 o N in Nordic Seas: RDC_moc_sigma0_NS_68N.nc RDC_moc_z_NS_68N.nc MODEL_moc_sigma0_NS_68N.nc MODEL_moc_z_NS_68N.nc Section across the Greenland-Scotland Ridge (GSR): RDC_moc_sigma0_GSR.nc RDC_moc_z_GSR.nc MODEL_moc_sigma0_GSR.nc MODEL_moc_z_GSR.nc 6. Mean velocity (m/s) and potential density \((\sigma_0, kg/m^3)\) across Arctic-Atlantic gateways sections from RDC and MODEL, as shown in Fig. 8 in the paper. Section across the Fram Strait and Barents Sea Opening: RDC_velocity_FS_BSO.nc RDC_sigma0_FS_BSO.nc MODEL_velocity_FS_BSO.nc MODEL_sigma0_FS_BSO.nc Section across 68 o N in Nordic Seas: RDC_velocity_NS_68N.nc RDC_sigma0_NS_68N.nc MODEL_velocity_NS_68N.nc MODEL_sigma0_NS_68N.nc Section across the Greenland-Scotland Ridge (GSR), also called the Greenland-Iceland-Scotland (GIS) Ridge: RDC_velocity_GSR.nc RDC_sigma0_GSR.nc MODEL_velocity_GSR.nc MODEL_sigma0_GSR.nc Acknowledgements We acknowledge the use of the following datasets and model code in this study: The World Ocean Atlas 2013 (WOA13) data were downloaded from the NOAA National Centers for Environmental Information (formerly the National Oceanographic Data) https://www.nodc.noaa.gov/cgi-bin/OC5/woa13/woa13.pl. The CSIRO ATLAS of REGIONAL SEAS 2009 version (CARS2009) data (http://www.marine.csiro.au/~dunn/cars2009/) were developed and provided by the Commonwealth Scientific and Industrial Research Organisation (CSIRO) Marine and Atmospheric Research, and downloaded from http://www.marine.csiro.au/atlas/. The climatological surface wind stress data are from the European Centre for Medium-range Weather Forecast (ECMWF): The ERA-Interim reanalysis data, Copernicus Climate Change Service (C3S) (accessed September 18, 2019), available from: https://www.ecmwf.int/en/forecasts/datasets/archive-datasets/reanalysis-datasets/era-interim. The observed mean dynamic topography data were produced by CLS and distributed by Aviso+ with support from Cnes (https://www.aviso.altimetry.fr/), and downloaded from ftp://ftp-access.aviso.altimetry.fr/auxiliary/mdt/mdt_cnes_cls2013_global/. Data from the full OSNAP (Overturning in the Subpolar North Atlantic Program) array for the first 21 months (31-Jul-2014 to 20-Apr-2016) were downloaded from https://www.o-snap.org/. OSNAP data were collected and made freely available by the OSNAP project and all the national programs that contribute to it (www.o-snap.org). The code of the Geophysical Fluid Dynamics Laboratory (GFDL) coupled climate model version 2.5 (CM2.5) used in this study is publicly available at https://www.gfdl.noaa.gov/cm2-5-and-flor-quickstart/. The relevant citations for the above datasets and model code are listed in Zhang and Thomas, 2021. Dataset Arctic Barents Sea Climate change Fram Strait Greenland Greenland-Scotland Ridge Iceland Nordic Seas North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Greenland