Reconstructed upper-ocean temperature, salinity, and sea ice at the Last Glacial Maximum

<p>These data accompany the published article</p> <p>Amrhein, D. E., Wunsch, C., Marchal, O., &amp; Forget, G. (2018). A global glacial ocean state estimate constrained by upper-ocean temperature proxies.&nbsp;<em>Journal of Climate</em>,&nbsp;<em>31</em>(19), 8059-8079.&nbsp;<a href="https://doi.org/10.1175/JCLI-D-17-0769.1">https://doi.org/10.1175/JCLI-D-17-0769.1</a></p> <p>Seasonal reconstructions of upper-ocean temperatures, salinity,&nbsp;and sea ice concentrations from Amrhein et al. (2018). Two sets of fields are available: GLACIAL, from the last glacial maximum ocean state estimation, and MODERN, from a similar model configuration but run to quasi-equilibrium under modern forcing conditions. GLACIAL minus MODERN&nbsp;anomaly values are likely to be more robust than standalone values from GLACIAL because of ocean drifts over millennial time scales present in both GLACIAL and MODERN. See publication for further information. See the MITgcm documentation for additional details on model variables.</p> <p>Files in&nbsp;Amrhein_etal_2018_LGM_MODERN_area_heff_seasonal.mat are:</p> <p>lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_areai_seas: Monthly maps of fractional sea ice area estimated at the LGM<br> lgm_heffi_seas:&nbsp;Monthly maps of sea ice thickness estimated at the LGM<br> mod_areai_seas: Monthly maps of fractional sea ice area simulated for modern climate<br> mod_heffi_seas: Monthly maps of sea ice thickness simulated for modern climate</p> <p>Files in&nbsp;Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat are:</p> <p>lat: Vector of latitudes<br> lon: Vector of longitudes<br> lgm_Si_seas: Monthly maps of upper-ocean salinity estimated at the LGM<br> lgm_Ti_seas:&nbsp;Monthly maps of upper-ocean temperature estimated at the LGM<br> mod_Si_seas: Monthly maps of upper-ocean salinity simulated for modern climate<br> mod_Ti_seas: Monthly maps of upper-ocean temperature simulated for modern climate</p> <p>A simple plot of, e.g., estimated LGM&nbsp;January upper-ocean temperatures can be made in MATLAB by putting the file in your working directory and running</p> <pre><code>load Amrhein_etal_2018_LGM_MODERN_T_SST_seasonal.mat pcolor(lon,lat,lgm_Si_seas(:,:,1)),shading flat</code></pre> <p>These data are a subset of those generated in the full state estimate. If additional variables are needed, please contact damrhein@ucar.edu and I can update this repository.</p>