DOI: 10.5281/zenodo.5571082
title: Surface elevation (2012-2020) and ice thickness (2014-2020) datasets measured at Artesonraju Glacier, Cordillera Blanca, Perú

description: We present a set of data of interpreted ice thickness and ice surface elevation of Artesonraju glacier.<br> The ice thickness was obtained by means of Ground Penetrating Radar (GPR) which was measured by Instituto Nacional de Investigación en Glaciares y Ecosistemas de Montaña (INAIGEM) and Autoridad Nacional de Agua (ANA). The years of ice thickness records include 2013, 2014, 2015, 2017, 2018, and 2020. On the other hand, the surface elevation points were obtained by means of automated total stations and mass balance stakes, integrally measured by ANA. The years of measurements are 2012, 2014, 2015, 2017, 2018, 2019, and 2020.<br> The results from GPR data show a maximum depth of 235±18 m and a decreasing mean depth of ranging from 134±18 m in 2013 to 110±18 m in 2020. Additionally, we estimate a mean ice thickness change rate of 4.2±3.2 m yr<sup>-1</sup> between 2012 and 2020 with GPR data alone, which is in agreement with the elevation change in the same period. The latter was estimated with the more accurate surface elevation data, yielding a change rate of -3.2±0.2 m yr<sup>-1</sup>, and hence, confirming a negative glacier mass balance. The datasets can be valuable for further analysis when combined with other data types, and as input for glacier dynamics modeling, ice volume estimations, and GLOF risk assessment.
description: File descriptions: 1. Interpreted ice thickness at Artesonraju glacier between 2013 and 2020. Artesonraju_Glacier_20130707_icethickness.txt Artesonraju_Glacier_20140531_20140603_icethickness.txt Artesonraju_Glacier_20150721_icethickness.txt Artesonraju_Glacier_20170530_icethickness.txt Artesonraju_Glacier_20180816_icethickness.txt Artesonraju_Glacier_20201022_icethickness.txt The file name format includes the survey date: Artesonraju_Glacier_YYYYMMDD_icethickness.txt. Data fields include: Latitude in degrees Longitude in degrees x_[m] in UTM/18S y_[m] in UTM/18S z_[maeh]: Ellipsoidal Surface elevation from GPS tau_r_[ns]: Corrected two-way travel times according to Lapazaran et al (2018). depth_[m]: Ice thickness using tau_r, assuming wave propagation speed of 0.168 m/ns. zb_[maeh]: Ellipsoidal Bed elevation from z and depth. e_H_GPR_[m]: Error in ice thickness due to GPR errors, in meters. e_H_xy2_[m]: Error in ice thickness due to positioning errors, in meters. e_H_data_[m]: Combined error in ice thickness. 2.- Surface elevation data points by means of automated total stations. Artesonraju_Glacier_20120927_surfaceelevation.txt Artesonraju_Glacier_20140819_surfaceelevation.txt Artesonraju_Glacier_20180906_surfaceelevation.txt Artesonraju_Glacier_20200912_surfaceelevation.txt The file name format includes the survey date: Artesonraju_Glacier_YYYYMMDD_surfaceelevation.txt. Data fields include: Latitude in degrees Longitude in degrees x_[m] in UTM/18S y_[m] in UTM/18S z_[masl]: Ortometric Surface elevation from automated total stations. 3.- Surface elevation data points from mass balance stakes by means of automated total stations. Artesonraju_Glacier_MBstakes_surfaceelevation.txt Data fields include: Latitude in degrees Longitude in degrees Date in YYYYMMDD format. x_[m] in UTM/18S y_[m] in UTM/18S z_[masl]: Ortometric Surface elevation from automated total stations. 4.- Surface elevation rasters interpolated from surface elevation data points. Artesonraju_Glacier_20120927_DEM_ANA.tif Artesonraju_Glacier_20140819_DEM_ANA.tif Artesonraju_Glacier_20180906_DEM_ANA.tif Artesonraju_Glacier_20200912_DEM_ANA.tif The file name format includes the survey date: Artesonraju_Glacier_YYYYMMDD_DEM_ANA.tif.