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13 results for “Atlantic meridional overturning circulation”
AMOC reconstruction between 1981 and 2016 from hydrographic data using an empirical linear regression model from Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, https://doi.org/10.5194/os-17-285-2021, 2021.
<p>Dataset used to create Figure 8 in Worthington et al., 2021 (https://doi.org/10.5194/os-17-285-2021). Details of the data and methods can be found in the journal article.<br> <br> Worthington, E. L., Moat, B. I., Smeed, D. A., Mecking, J. V., Marsh, R., and McCarthy, G. D.: A 30-year reconstruction of the Atlantic meridional overturning circulation shows no decline, Ocean Sci., 17, 285–299, <a href="https://doi.org/10.5194/os-17-285-2021">https://doi.org/10.5194/os-17-285-2021</a>, 2021.</p>
Atlantic Meridional Overturning Circulation Near 41N from Altimetry and Argo Observations
<p>Updated Jan 17, 2024 to include estimates through calendar year 2024.</p> <p>These files contain an estimate of the Atlantic Meridional Overturning Circulation (AMOC) volume and heat transports, computed using observations of temperature, salinity and subsurface velocity from the Argo array of profiling floats (DOI: 10.17882/42182#116315), and satellite-based observations of sea level from altimetry (DOI: 10.48670/moi-00148 and DOI: 10.48670/moi-00149). The estimates are computed using the techniques of Willis (2010) and Hobbs and Willis (2012). In addition, estimates of wind stress at the surface were estimated from European Center for Medium Range Weather Forecast, ERA5 analysis (DOI: 10.24381/cds.143582cf).</p> <p>Note that in all files, although there are 12 time-steps per year, each time step represents a 3-month average, so the time series is over sampled.</p> <p>The .txt file contains comma separated values of the time series, with 1 header line and the following columns, estimated as in Willis (2010) and Hobbs and Willis (2012): </p> <p>Column 1: Decimal year</p> <p>Column 2: Ekman Volume Transport (Sverdrups)</p> <p>Column 3: Northward Geostrophic Transport (Sverdrups)</p> <p>Column 4: Meridional Overturning Volume Transport (Sverdrups)</p> <p>Column 5: Meridional Overturning Heat Transport (PetaWatts)</p> <p>The file called “trans_Argo_ERA5.nc” contains an estimate of the geostrophic transport as a function of latitude, longitude, depth and time, for the upper 2000 m for latitudes near 41 N in the Atlantic Ocean, estimated as described in Willis (2010). Also included are Ekman Transport and Overturning Transport as functions of time and latitude for this region.</p> <p>The file called “Q_ARGO_obs_dens_2000depth_ERA5.nc” contains estimates of heat transport for these regions based on various assumptions about the temperature of the ocean at depths unmeasured by the Core Argo array (depths below 2000m), estimated as described in Hobbs and Willis (2012). These assumptions are described in the variable “Hpar”.</p> <p> </p> <p>If you use these data please cite:</p> <p>Willis, J. K., and Hobbs, W. R., Atlantic Meridional Overturning Circulation Near 41N from Altimetry and Argo Observations. Dataset access [YYYY-MM-DD] at 10.5281/zenodo.8170366.</p> <p> </p> <p>References & Acknowledgements:</p> <p>Hobbs, W. R., and J. K. Willis (2012), Midlatitude North Atlantic heat transport: A time series based on satellite and drifter data. J. Geophys. Res., 117, C01008, doi:10.1029/2011JC007039.</p> <p>Willis, J. K. (2010), Can in situ floats and satellite altimeters detect long-term changes in Atlantic Ocean overturning?, Geophys. Res. Lett., 37, L06602, doi:10.1029/2010GL042372. http://www.agu.org/pubs/crossref/2010/2010GL042372.shtml</p> <p>This study has been conducted using E.U. Copernicus Marine Service Information; <a href="https://doi.org/10.48670/moi-00149">https://doi.org/10.48670/moi-00149</a> and <a href="https://doi.org/10.48670/moi-00148">https://doi.org/10.48670/moi-00148</a></p> <p> </p> <p>These data were collected and made freely available by the International Argo Program and the national programs that contribute to it. (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System. “</p> <p>Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. <a href="https://doi.org/10.17882/42182#116315">https://doi.org/10.17882/42182#116315</a><a name="_Hlk188024500"></a></p> <p>Hersbach, H., et al. (2017): Complete ERA5 from 1940: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service (C3S) Data Store (CDS). DOI: 10.24381/cds.143582cf (Accessed on 24-Dec-2022)</p> <p> </p>
DATA (part 2): Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations
<p>Data used for the peer-reviewed article published in the Journal of Climate, titled: "Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations."</p> <p>The publication is available at: https://journals.ametsoc.org/view/journals/clim/aop/JCLI-D-21-0172.1/JCLI-D-21-0172.1.xml.</p> <p>The software developed for the data herein is available at: https://github.com/mariajmolina/climatico.</p>
DATA (part 1): Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations
<p>Data used for the peer-reviewed article published in the Journal of Climate, titled: "Response of Global SSTs and ENSO to the Atlantic and Pacific Meridional Overturning Circulations."</p> <p>The publication is available at: https://journals.ametsoc.org/view/journals/clim/aop/JCLI-D-21-0172.1/JCLI-D-21-0172.1.xml.</p> <p>The software developed for the data herein is available at: https://github.com/mariajmolina/climatico.</p>
Data for "Symmetric instability in the Atlantic Meridional Overturning Circulation"
<p>Data for the DPhil thesis "Symmetric instability in the Atlantic Meridional Overturning Circulation".</p>
Data for "A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests"
<p>Data for the publication "A potential collapse of the Atlantic Meridional Overturning Circulation may stabilise eastern Amazonian rainforests" by Nian et al. DOI: 10.1038/s43247-023-01123-7</p>
Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation
<p>Datasets and code used for figures in the following paper:</p> <p>Liu et al. 2023. Increased Asian aerosols drive a slowdown of Atlantic Meridional Overturning Circulation, Nature Communications, under review</p>
Roles of the Labrador Current in the Atlantic Meridional Overturning Circulation responses to greenhouse warming
<p>This archive contains data and MATLAB code used to generate figures in the paper "Roles of the Labrador Current in the Atlantic Meridional Overturning Circulation responses to greenhouse warming". </p>
Nonstationarity of the Atlantic Meridional Overturning Circulation's fingerprint on sea surface temperature
<p>Associated data for "Nonstationarity of the Atlantic Meridional Overturning Circulation’s fingerprint on sea surface temperature". V2 updated to include datasets for the supplemental information.</p>
Figure Data for Oka et al. (2021) "Glacial mode shift of the Atlantic meridional overturning circulation by warming over the Southern Ocean"
<p>Figure Data for Oka et al. (2021) "Glacial mode shift of the Atlantic meridional overturning circulation by warming over the Southern Ocean" </p>
Data for the figures of Ando et al. entitled "Hysteresis of the glacial Atlantic Meridional Overturning Circulation controlled by thermal feedbacks."
<p>Data for the figures of Ando et al. entitled "Hysteresis of the glacial Atlantic Meridional Overturning Circulation controlled by thermal feedbacks."</p>
The Role of Atlantic Basin Geometry in Meridional Overturning Circulation
<p>Climatology data for manuscript: "The Role of Atlantic Basin Geometry in Meridional Overturning Circulation"</p> <p>We present idealized simulations to explore how the shape of eastern and western continental boundaries along the Atlantic influence the Atlantic Meridional Overturning Circulation (AMOC). We use a state-of-the art ocean—sea-ice model (MOM6 and SIS2) with idealized, zonally-symmetric surface forcing and a range of idealized continental configurations with a large, Pacific-like basin and a small, Atlantic-like basin. We perform simulations with five coastline geometries along the Atlantic-like basin that range from coastlines that are straight to coastlines shaped like the coasts of the American and African continents.</p>
The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter
<p>These are the data that accompany the publication "The Atlantic meridional overturning circulation at 35N from deep moorings, floats, and satellite altimeter" by Le Bras, Willis, and Fenty.</p> <p>The netcdf file AMOC35.nc includes the final Atlantic meridional overturning circulation (AMOC) transports presented in the manuscript. It includes "AMOCdepth": the AMOC transport in depth space; "AMOCsigma": the AMOC transport in density space (specifically potential density referenced to 2000m); "psi": the integrated across-basin transport streamfunction in depth space; and "Ekman": is the Ekman transport time series derived from CCMP as described in the manuscript. Note that the Ekman transport is included in the total AMOC transport; we provide it here so that it can be easily removed. All variables in AMOC35.nc have units of Sverdrups (Sv).</p> <p>The netcdf file AMOC35_gridded_velocities.nc is significantly larger. It includes "vg" (in m/s): the geostrophic velocity through the section; "sigma2" (in kg/m<sup>3</sup>): the potential density anomaly referenced to 2000m; "bathymetry" (in m): the depth of the sea floor along the section; and "area" (in m<sup>2</sup>): the area of each grid point. Note that no total transport correction has been applied to this geostrophic velocity; the AMOC transport cannot be extracted directly from it. This velocity and the auxiliary fields are provided for those who wish to reproduce and test our results.</p> <p>Both files were saved as structured python xarray Datasets with labeled coordinates (https://docs.xarray.dev/en/stable/generated/xarray.Dataset.html). In AMOC35.nc, the coordinates are "date" (in python datetime format) and "depth" (in m). The alternatives "time" (in decimal years) and "pressure" (in db) are also available. AMOC35_gridded_velocities.nc additionally includes the coordinate "distance" (in km) with longitude ("lon") and latitude ("lat"), also available.</p>
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