Supplementary data for "Less extreme and earlier outbursts of ice-dammed lakes since 1900"

This respository contains supplementary and source data for the study for Less extreme and earlier outbursts of ice-dammed lakes since 1900 by Georg Veh and co-authors.

We investigate trends in the peak discharge Qp, flood volume V0, timing doy (day of year) and elevation Z of glacier lake outburst floods (GLOFs), and focus on ice-dammed lakes. We use Bayesian hierarchical models, implemented in the package brms in in the statistical programming software R. 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:

1 The GLOF database

glofdatabase_2022_05_30.ods: OpenOffice table with all reported GLOFs. Compiliation as of May 30, 2022

Parameter_Readme.ods: Readme file describing all parameters (i.e. columns) in glofdatabase_2022_05_30.ods

2 Data on glacier elevation changes

dh_pergla_cut.7z: zipped csv tables of cumulative elevation change (in m) for glaciers with repeat GLOFs between 2000 and 2019

3 Preprocessed GLOF data as R objects

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 Qp

all_glofs_V0_tibble.RDS: R-object in table format of lakes with repeat GLOFs and reported flood volume V0

glofs_ice_with_z.RDS: R-object of first reported GLOF from a given lake and its elevation Z

4 Output from Bayesian hierarchial models

a) Regional models

qp_models.RDS: R-object with regional quantile regression models of Qp versus time for the 50th and 90th for 4 time periods

V0_models.RDS: R-object with regional quantile regression models of V0 versus time for the 50th and 90th for 4 time periods

doy_trends_per_region.RDS: R-object with regression models of doy versus time for all dated GLOFs in the six regions

Z_trends_per_region.RDS: R-object with a hierarchical regression models of elevation Z 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  

b) Local models

V0_model_median_local.RDS: R-object with regional quantile regression models of median V0 versus time

qp_model_median_local.RDS: R-object with local quantile regression models of median Qp versus time

doy_trends_per_glacier.RDS: R-object with regression models of doy versus time for lakes with repeat GLOFs

local_Qp_vs_dhdt_model.RDS: R-Object containing a hierarchical model of local changes in Qp versus glacier elevation change

local_V0_vs_dhdt_model.RDS: R-Object containing a hierarchical model of local changes in V0 versus glacier elevation change

4 GIS Data

Ice_dammed_lakes_Zenodo.7z: zipped folder containing manually mapped outlines of ice-dammed lakes. 

Region_extents.7z: zipped folder containing the outlines of the study regions.

5 Figures

Qp_local.pdf: PDF figure showing temporal trends of median Qp for individual glacier lakes

V0_local.pdf: PDF figure showing temporal trends of median V0 for individual glacier lakes

doy_local.pdf: PDF figure showing temporal trends in GLOF timing for individual glacier lakes