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

This study was funded by the SNF‐project UNCOMUN (grant no. 146761) and the ERC‐project RAVEN (grant no. 772751) under the European Union's Horizon 2020 research and innovation program. Pascal Buri acknowledges funding from the SNF Early Postdoc.Mobility program (grant no. 178420).