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

<p>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.</p> <p>&nbsp;</p> <p>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&nbsp;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,&nbsp;are available at&nbsp;&nbsp;available at <a href="https://github.com/geveh/IceDamFailures">https://github.com/geveh/IceDamFailures</a>, and archived at 10.5281/zenodo.7326865.</p> <p>We provide the following data:</p> <p><strong>1 The GLOF database</strong></p> <ul> <li><em>glofdatabase_2022_05_30.ods:</em> OpenOffice table with all reported GLOFs. Compiliation as of May 30, 2022</li> <li><em>Parameter_Readme.ods:</em> Readme file describing all parameters (i.e. columns) in glofdatabase_2022_05_30.ods</li> </ul> <p>&nbsp;</p> <p><strong>2 Data on glacier elevation changes</strong></p> <ul> <li><em>dh_pergla_cut.7z:</em> zipped csv tables of cumulative elevation change (in m) for glaciers with repeat GLOFs between 2000 and 2019</li> </ul> <p>&nbsp;</p> <p><strong>3 Preprocessed GLOF data as R objects</strong></p> <ul> <li>all_glofs_tibble.RDS: R-object with a preprocessed table of all reported GLOFs</li> <li>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></li> <li>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></li> <li>glofs_ice_with_z.RDS: R-object of first reported GLOF from a given lake and its elevation <em>Z</em></li> </ul> <p><br> <strong>4 Output from Bayesian hierarchial models</strong></p> <p><em><strong>a) Regional models</strong></em></p> <ul> <li>qp_models.RDS: R-object with regional quantile regression models of&nbsp;<em>Q</em><sub>p</sub>&nbsp;versus time for the 50th and 90th for 4 time periods</li> <li>V0_models.RDS: R-object with regional quantile regression models of&nbsp;<em>V</em><sub>0</sub>&nbsp;versus time for the 50th and 90th for 4 time periods</li> <li>doy_trends_per_region.RDS: R-object with regression models of&nbsp;<em>doy</em>&nbsp;versus time for all dated GLOFs in the six regions</li> <li>Z_trends_per_region.RDS: R-object with a hierarchical regression models of&nbsp;elevation <em>Z</em>&nbsp;versus time for dated GLOFs in the six regions between 1900 and 2021</li> <li>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&nbsp;&nbsp;</li> </ul> <p><em><strong>b) Local models</strong></em></p> <ul> <li><em>V0_model_median_local.RDS:</em> R-object with regional quantile regression models of median&nbsp;<em>V</em><sub>0</sub>&nbsp;versus time</li> <li><em>qp_model_median_local.RDS:</em> R-object with local quantile regression models of median&nbsp;<em>Q</em><sub>p</sub>&nbsp;versus time</li> <li><em>doy_trends_per_glacier.RDS: </em>R-object with regression models of&nbsp;<em>doy</em>&nbsp;versus time for lakes with repeat GLOFs</li> <li><em>local_Qp_vs_dhdt_model.RDS:</em> R-Object containing a hierarchical model of local changes in <em>Q</em><sub>p</sub>&nbsp;versus glacier elevation change</li> <li><em>local_V0_vs_dhdt_model.RDS:</em> R-Object containing a hierarchical model of local changes in <em>V</em><sub>0</sub>&nbsp;versus glacier elevation change</li> </ul> <p>&nbsp;&nbsp; &nbsp;</p> <p><strong>4 GIS Data</strong></p> <p>&nbsp;</p> <ul> <li><em>Ice_dammed_lakes_Zenodo.7z: </em>zipped folder containing manually mapped outlines of ice-dammed lakes.&nbsp;</li> <li><em>Region_extents.7z:</em> zipped folder containing the outlines of the study regions.</li> </ul> <p>&nbsp;&nbsp; &nbsp;</p> <p><strong>5 Figures</strong></p> <ul> <li><em>Qp_local.pdf:</em> PDF figure showing temporal trends of median&nbsp;Qp&nbsp;for individual glacier lakes</li> <li><em>V0_local.pdf: </em>PDF figure showing temporal trends of median&nbsp;V0&nbsp;for individual glacier lakes</li> <li><em>doy_local.pdf:</em> PDF figure showing temporal trends in GLOF timing&nbsp;for individual glacier lakes<br> &nbsp;</li> </ul> <ul> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
November 15, 2022
License
cc-by-4.0
DOI
10.5281/zenodo.7326570

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