Supplementary data for "Less extreme and earlier outbursts of ice-dammed lakes since 1900"
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This respository contains supplementary and source data for the study for<em><strong> Less extreme and earlier outbursts of ice-dammed lakes since 1900</strong></em> by Georg Veh and co-authors. We investigate trends in the peak discharge <em>Q</em><sub>p</sub>, flood volume <em>V</em><sub>0</sub>, timing <em>doy</em> (day of year) and elevation <em>Z</em> of glacier lake outburst floods (GLOFs), and focus on ice-dammed lakes. We use Bayesian hierarchical models, implemented in the package <em>brms</em> in in the statistical programming software <em>R</em>. More information on these data, including detailed scripts to process them, are available at available at https://github.com/geveh/IceDamFailures, and archived at 10.5281/zenodo.7326865. We provide the following data: <strong>1 The GLOF database</strong> <em>glofdatabase_2022_05_30.ods:</em> OpenOffice table with all reported GLOFs. Compiliation as of May 30, 2022 <em>Parameter_Readme.ods:</em> Readme file describing all parameters (i.e. columns) in glofdatabase_2022_05_30.ods <strong>2 Data on glacier elevation changes</strong> <em>dh_pergla_cut.7z:</em> zipped csv tables of cumulative elevation change (in m) for glaciers with repeat GLOFs between 2000 and 2019 <strong>3 Preprocessed GLOF data as R objects</strong> all_glofs_tibble.RDS: R-object with a preprocessed table of all reported GLOFs all_glofs_qp_tibble.RDS: R-object in table format of lakes with repeat GLOFs and reported peak discharge <em>Q</em><sub>p</sub> all_glofs_V0_tibble.RDS: R-object in table format of lakes with repeat GLOFs and reported flood volume <em>V</em><sub>0</sub> glofs_ice_with_z.RDS: R-object of first reported GLOF from a given lake and its elevation <em>Z</em> <br> <strong>4 Output from Bayesian hierarchial models</strong> <em><strong>a) Regional models</strong></em> qp_models.RDS: R-object with regional quantile regression models of <em>Q</em><sub>p</sub> versus time for the 50th and 90th for 4 time periods V0_models.RDS: R-object with regional quantile regression models of <em>V</em><sub>0</sub> versus time for the 50th and 90th for 4 time periods doy_trends_per_region.RDS: R-object with regression models of <em>doy</em> versus time for all dated GLOFs in the six regions Z_trends_per_region.RDS: R-object with a hierarchical regression models of elevation <em>Z</em> versus time for dated GLOFs in the six regions between 1900 and 2021 Regional_glacier_and_melt_volumes.rds: R-object containing the total volume of glacier volume and volume change between 2000 and 2019 in 100-m elevation bins <em><strong>b) Local models</strong></em> <em>V0_model_median_local.RDS:</em> R-object with regional quantile regression models of median <em>V</em><sub>0</sub> versus time <em>qp_model_median_local.RDS:</em> R-object with local quantile regression models of median <em>Q</em><sub>p</sub> versus time <em>doy_trends_per_glacier.RDS: </em>R-object with regression models of <em>doy</em> versus time for lakes with repeat GLOFs <em>local_Qp_vs_dhdt_model.RDS:</em> R-Object containing a hierarchical model of local changes in <em>Q</em><sub>p</sub> versus glacier elevation change <em>local_V0_vs_dhdt_model.RDS:</em> R-Object containing a hierarchical model of local changes in <em>V</em><sub>0</sub> versus glacier elevation change <strong>4 GIS Data</strong> <em>Ice_dammed_lakes_Zenodo.7z: </em>zipped folder containing manually mapped outlines of ice-dammed lakes. <em>Region_extents.7z:</em> zipped folder containing the outlines of the study regions. <strong>5 Figures</strong> <em>Qp_local.pdf:</em> PDF figure showing temporal trends of median Qp for individual glacier lakes <em>V0_local.pdf: </em>PDF figure showing temporal trends of median V0 for individual glacier lakes <em>doy_local.pdf:</em> PDF figure showing temporal trends in GLOF timing for individual glacier lakes<br>
