Surface elevation changes of glaciers in the Cordillera Real and Tres Cruces, Bolivia, between 2000 and 2016 ...

• Main Authors: Seehaus, Thorsten, Malz, Philipp, Sommer, Christian, Braun, Matthias Holger
• Format: Dataset
• Language: English
• Published: PANGAEA 2019
• Subjects: DEM; elevation change; geodetic mass balance; SRTM; TanDEM-X; tropical glacier; File name; File format; File size; Uniform resource locator/link to file; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas SPP1158; Antarctic; Arctic; Antarc*; Climate change; Sea ice
• Online Access: https://dx.doi.org/10.1594/pangaea.907325; https://doi.pangaea.de/10.1594/PANGAEA.907325

During the last decades, climate change has led to a significant shrinkage of glaciers in the Tropical Andes. However, there is a lack of recent multi-temporal quantifications of ice mass loss at mountain range to regional scales. We measure temporally consistent glacier area changes and geodetic mass balances throughout the Bolivian Cordillera Real and Tres Cruces based on multi-sensor remote sensing data in the period 2000-2016. By analyzing interferometric SAR data a geodetic mass balance of -399±98 kg m-2 a-1 and a total ice mass loss of 1.84±0.46 Gt is derived for 2000-2016. In more recent years, ice loss was above the average rate. A mass budget of -467±358 kg m-2 a-1 is found after 2013. These higher change rates can be attributed to the strong El Niño event in 2015/16.The data set consists of elevation change maps for each subregion (R1, R2, R3; see associated article) for the periods 2000-2013, 2000-2016 and 2013-2016. The glacier outlines used to delineate the glacier areas are available via the ... : This work was financially supported by the DLR/BMWi grant GEKKO (50EE1544), by the Deutsche Forschungsgemeinschaft (DFG) in the framework of the priority programme "Antarctic Research with comparative investigations in Arctic ice areas" SPP 1158 by the grant DFG BR2105/9-1 and the priority programme “Regional Sea Level Change and Society” by the grant DFG BR2105/14-1, as well as the HGF Aliance Remote Sensing & Earth System Dynamics. The authors would like to thank the German Aerospace Center for providing TanDEM-X and TerraSAR-X data free of charge under AO XTI_GLAC0264 and AO ARC_HYD1763. Landsat data were kindly provided via USGS Earth Explorer and Sentinel-1 data were provided by ESA via Copernicus Open Access Hub. SRTM data were provided by NASA LP DAAC ...