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Model outputs to "Langtang Ice Cliff Modelling Study"

<p>This dataset contains all the model results of our study &quot;Supraglacial ice cliffs can substantially increase the mass loss of debris-covered glaciers&quot;.</p> <p>The zip-file contains one main folder: &quot;Cliffmodel_Results&quot; (produced using the 3D-backwasting ice cliff model from Buri et al., 2016b, Buri &amp; Pellicciotti, 2018).</p> <p>More raw data upon request.</p> <p>&nbsp;</p> <p><strong>Folder structure of &quot;Langtang_IceCliffModellingStudy.7z&quot;:</strong></p> <p>───Cliffmodel_Results<br> &nbsp;&nbsp;&nbsp;├───LangshishaGlacier<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_A_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_B_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_C_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_D_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_E_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_F_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langshisha2014_G_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───Output_Cliffs_Langshisha2014_H_3m<br> &nbsp;&nbsp;&nbsp;├───LangtangGlacier<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_A_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_B_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_C_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_D_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_E_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_F_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_G_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_H_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_I_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_J_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_K_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_L_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_M_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_N_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_O_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_P_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_Q_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_R_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Langtang2014_S_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───Output_Cliffs_Langtang2014_T_3m<br> &nbsp;&nbsp;&nbsp;├───LirungGlacier<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;├───Output_Cliffs_Lirung2014_A_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;│ &nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───Output_Cliffs_Lirung2014_B_3m<br> &nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;└───ShalbachumGlacier<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;├───Output_Cliffs_Shalbachum2014_A_3m<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;├───Output_Cliffs_Shalbachum2014_B_3m<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;├───Output_Cliffs_Shalbachum2014_C_3m<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;├───Output_Cliffs_Shalbachum2014_D_3m<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;│ &nbsp;&nbsp;└───intermediateOutput<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;└───Output_Cliffs_Shalbachum2014_E_3m<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;└───intermediateOutput<br> &nbsp;</p> <p>&nbsp;</p> <p><strong>File structure&nbsp;within&nbsp;Cliffmodel_Results \ &lt;GLACIERNAME&gt; \&nbsp;&nbsp;Output_Cliffs_&lt;GLACIERNAME&gt;2014_A_3m:</strong></p> <p><em>DC_Fluxes_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m_ls.rda</em></p> <p>&rarr;List of 10 matrices for each energy balance flux with average diurnal cycle (rows)&nbsp;and cliff (columns)&nbsp;for specific model period&nbsp;</p> <p><em>geom_ts&lt;TIMESTEP1&gt;_Cliffs_Lirung2014_A_3m.txt</em></p> <p>&rarr;Characteristics (Elevation,Slope,Aspect,x,y,ID,VsI,VsL,Vd) for each pixel of all cliffs (specific ID)&nbsp;for specific model period&nbsp;</p> <p><em>MODELSETTINGS_GSM_&lt;GLACIERNAME&gt;_&lt;GLACIERSECTOR&gt;_22Aug_Cliffs_&lt;GLACIER&gt;2014.txt</em></p> <p>&rarr;Details on all modelsettings</p> <p><em>PC_Melt_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m.txt</em></p> <p>&rarr;Melt values for each cliff (columns) and timestep (rows)&nbsp;for specific model period&nbsp;</p> <p><em>PC_Stats_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m.txt</em></p> <p>&rarr;Summary statistics for each cliff (rows) for specific model period&nbsp;</p> <p><em>perPx_DC_Fluxes_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m_ls.rda</em></p> <p>&rarr;List of list with per pixel diurnal cycle and standard deviation of each energy flux for specific model period&nbsp;</p> <p><em>SD_Fluxes_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m_ls.rda</em></p> <p>&rarr;List of 10 matrices for each energy balance flux with standard deviation for each hour of the day (rows)&nbsp;and cliff (columns)&nbsp;for specific model period&nbsp;</p> <p><em>Stats_MeanFluxes_tts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m.txt</em></p> <p>&rarr;Mean energy fluxes per timestep (rows) averaged over all ice cliffs</p> <p><em>Stats_NonGriddedData_ts&lt;TIMESTEP1&gt;to&lt;TIMESTEP2&gt;_Cliffs_&lt;GLACIERNAME&gt;2014_3m.txt</em></p> <p>&rarr;Statistics of non-distributed parameters averaged over all cliffs per timestep (rows)</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
8