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Amundsen Sea future MAR simulations forced by the CMIP5 multi-model mean

<p><strong>Amundsen Sea future MAR simulation forced by the CMIP5 multi-model mean (RCP8.5)</strong></p> <p>This future simulation is fully described in the following article:</p> <p>Donat-Magnin, M., Jourdain, N. C., Kittel, C., Agosta, C., Amory, C., Gall&eacute;e, H., Krinner, G., and Chekki, M. Future surface mass balance and surface melt in the Amundsen sector of the West Antarctic Ice Sheet. <em>The Cryosphere</em>.</p> <p>The future is derived from the CMIP5 multi-model mean under the RCP8.5 scenario and covers the 2079-2108 period. The corresponding present-day simulation is available on <a href="http://doi.org/10.5281/zenodo.4308510">http://doi.org/10.5281/zenodo.4308510</a> and was thoroughly evaluated in the following TC paper: <a href="https://doi.org/10.5194/tc-14-229-2020">https://doi.org/10.5194/tc-14-229-2020</a></p> <p>See netcdf metadata for more information. Note that what is called runoff in the outputs is not actually a runoff (into the ocean) but more the net production of liquid water at the surface (which can either form ponds or flow into the ocean).</p> <p>Monthly files provided on MAR grid (see MAR_grid10km.nc). We also provide climatological (2079-2108 average) surface mass balance (SMB), surface melt rates and net liquid water production (&quot;runoff&quot;) on a standard 8km WGS84 stereographic grid (see files ending as mean_polar_stereo.nc). Daily snowfall and surface melt rates are provided in ICE*nc.<br> <br> The interpolation to the stereographic grid is done using&nbsp;interpolate_to_std_polar_stereographic.f90. The fields are extrapolated to the ocean grid points so that ice sheet models with various ice-shelf extent can use this dataset.</p> <p>To extrapolate the SMB and surface melt projections to other warming scenarios or period, see eq. (2,3) in Donat-Magnin et al.</p> <p>The following variables are provided:</p> <ul> <li>CC Cloud Cover</li> <li>LHF Latent Heat Flux</li> <li>LWD Long&nbsp; Wave Downward</li> <li>LWU Long&nbsp; Wave Upward</li> <li>QQp Specific Humidity (pressure levels)</li> <li>QQz Specific Humidity (height levels)</li> <li>RH Relative Humidity</li> <li>SHF Sensible Heat Flux</li> <li>SIC Sea ice cover</li> <li>SP Surface Pressure</li> <li>ST Surface Temperature</li> <li>SWD Short Wave Downward</li> <li>SWU Short Wave Upward</li> <li>TI1 Ice/Snow Temperature (snow-layer levels)</li> <li>TTz Temperature (height levels)</li> <li>UUp x-Wind Speed component (pressure levels)</li> <li>UUz x-Wind Speed component (height levels)</li> <li>VVp y-Wind Speed component (pressure levels)</li> <li>VVz y-Wind Speed component (height levels)</li> <li>UVp Horizontal Wind Speed (pressure levels)</li> <li>UVz Horizontal Wind Speed (height levels)</li> <li>ZZp Geopotential Height (pressure levels)</li> <li>mlt Surface melt rate</li> <li>rfz Refreezing rate</li> <li>rnf Rainfall</li> <li>rof &quot;Runoff&quot; (i.e. net production of surface liquid water)</li> <li>sbl Sublimation</li> <li>smb Surface Mass Balance</li> <li>snf Snowfall</li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4

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