Data from Post-collapse ice cliff backwasting at the Marmolada Glacier observed by terrestrial radar interferometry - (revised manuscript, submitted to JGR Earth Surface)

1. Displacement data. Displacement data supporting key findings from our study are provided below and divided in three sub-categories. These are: a) 2D displacement maps, b) total cumulated map of displacement, c) timeseries of cumulated displacement at Zone A and B. In all dataset positive displacement is given in mm away from the line of sight of the sensor. 1a) 2D displacement maps 2D displacement maps in radar coordinates (Figure 4) are provided in nine separate files. These maps show the main displacement styles we observed at the Marmolada ice cliff and support KEYPOINT NUMBER ONE: radar monitoring of the Marmolada Glacier’s ice cliff after its 2022 collapse showed no further instability. The naming of the file is in the format TRI_MMDDHHmm_MMDDHHmm.txt 1b) Cumulated map of displacement The georeferenced point-cloud of the cumulated displacement (Figure 5c) is provided in TRI_2022_07_06_00_39__2022_10_02_01_33_3PC.txt This dataset, togheter with the meteorological data (also provided) allows inference of spatial variability and provides evidence for our second key point: Temperature-driven backwasting was observed on the ice cliff, with faster retreat on the sun-exposed rim than the shaded bottom. 1c) Time series of cumulated displacement in Zone A and B The temporal evolution of the cumulated displacement at zones A and B during the entire monitoring period are provided in TRI_ZONEA_TIMESERIES.csv and TRI_ZONEB_TIMESERIES.csv The two timeseries, together with the meteorological data provided below support our second key point. 2. Air temperature data. Measured hourly temperature at the Punta Rocca weather station are provided in Meteo_PRHT.csv 3. Topographic datasets. Topographic datasets are provided in two georeferenced datasets: TOPO_20220708_pc.txt TOPO_20220920_dsm.txt