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MAR-ERA-20C European Alps (1902-2010)

<p>This folder contains MAR simulations over the European Alps domain (7 kilometers resolution) forced by the ERA-20C reanalysis<br> The version of the MAR model used is v.3.10, model set-up is described in detail in Beaumet et al., 2021 (https://doi.org/10.1007/s10113-021-01830-x)<br> Contact person : Julien Beaumet (beaumetjulien@gmail.com), Martin Menegoz (martin.menegoz@univ-grenoble-alpes.fr)<br> The simulations cover the period covered by ERA-20C reanalysis : 1902-2010 (1901=Spin-up year)<br> Data are available at the daily frequency, with one variable per file (10 years of data per file).<br> The available variables are :</p> <p><strong>LWD: </strong>Surface downward longwave radiation, [W/m2]<br> <strong>LWU:</strong> Surface upward longwave radiation, [W/m2]<br> <strong>MB:</strong>&nbsp; Total snow water equivalent, [mm.We]<br> <strong>MBrr:</strong> Daily rainfall, [mm.We] (5)<br> <strong>MBsf:</strong> Daily snowfall, [mm.We] (5)</p> <p><strong>QQz:&nbsp;</strong> Near-surface specific humidity at constant height, [g/kg]&nbsp; (2)</p> <p><strong>SWD:</strong> Surface downward shortwave radiation, [W/m2]<br> <strong>SWU:</strong> Surface upward shortwave radiation, [W/m2]</p> <p><strong>TTmax:</strong> Near-surface maximum air temperature for the first model level above the surface (constant sigma), [C]<br> <strong>TTmin:</strong> Near-surface minimum air temperature for the first model level above the surface (constant sigma),[C]</p> <p><strong>TTz: </strong>Near-surface mean air temperature at constant-height, [C]<br> <strong>UUz:</strong> Near-surface zonal component of wind speed at constant height, [m/s]<br> <strong>VVz:</strong> Near surface Meridional component of wind speed at constant height, [m/s]<br> <strong>ZN3:</strong> Total snow height, [m]</p> <p>Other variables are available upon request (see email above).<br> AL : Surface albedo, [0-1]<br> CC: Cloud cover, [0-1]<br> CD: Low level Cloud cover, [0-1]<br> CM: Middle level Cloud cover, [0-1]<br> CU: High level Cloud cover, [0-1]</p> <p>LHF : Surface latent heat flux, [W/m2]</p> <p>SHF : Surface sensible heat flux, [W/m2]<br> SP:&nbsp; Surface pressure, [hPa]<br> ST:&nbsp; Surface temperature, [C]<br> TT:&nbsp; Near-surface mean air temperature for the first three model level above the surface (constant sigma), [C] (1)<br> TTp: Constant pressure-level mean air temperature, [C] (4)<br> ZZ:&nbsp; Surface geopotential for the first three model level above the surface (constant sigma), [m]</p> <p>* Latitude(LAT),longitude(LON)and surface elevation (SH) of each grid point can be read in MARgrid_EUe.nc file</p> <p>(1) For variable TT, ZZ model constant sigma level of 0.9997479<br> (2) For variables TTz, QQz constant height level are : 2m<br> (3) For variables UUz, VVz constant height level are : 10m<br> (4) Variables TTp, UUp, VVp available at pressure level : 925, 850, 800, 700, 600, 500, 200 hPa<br> (5) Snow height and snow water equivalent are available for three sectors which corresponds to three different vegetation type : The three vegetation type used can be readen in the file MARgrid_EUy.nc, with the variable VEG and their respectibe fraction for each grid point is given by the variable FRV. The third vegetation type (sector=3) mostly corresponds to bare soil or low crops by default, but sometimes its fraction=0, which gives unrealistic low values of snow height. In this case, using the max. value on the axis sector often gives the best results.<br> Legend of the vegetation type for the VEG variables : 0:NO_VEGETATION &nbsp; 1:CROPS_LOW &nbsp; 2:CROPS_MEDIUM &nbsp; 3:CROPS_HIGH &nbsp; 4:GRASS_LOW &nbsp; 5:GRASS_MEDIUM &nbsp; 6:GRASS_HIGH &nbsp; 7:BROADLEAF_LOW &nbsp; 8:BROADLEAF MEDIUM &nbsp; 9:BROADLEAF_HIGH &nbsp;10:NEEDLELEAF_LOW &nbsp;11:NEEDLELEAF MEDIUM &nbsp;12:NEEDLELEAF_HIGH &nbsp;13:City</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

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