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774 results for “glacier”

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zenodo36/100

Dalk_Glacier_clustering_2023

<p>Dalk_clustering_events.tar.gz contains 909,720 events' waveforms detected&nbsp;near Dalk Glacier, in the Larsemann Hills, East Antarctica&nbsp;from 6 Dec 2019 to 2 Jan 2020. Original seismic data are recorded by 100 three-component short-duration seismometers. The preprocessing includes detrending, tapering and 1-Hz high-pass filtering and the detection method is&nbsp;STA/LTA (short term=0.5 s, long term=30 s, trigger threshold=10, detrigger threshold=3).</p><p><br>AWS_environment.zip contains recordings of wind speed, wind direction and temperature at the Zhongshan Station from 6 Dec 2019 to 2 Jan 2020.</p><p>unsupervised_clustering_code.zip contains the python codes of detecting by STA/LTA, feature extraction by an autoencoder and clustering by a Gaussian mixture model.</p>

opencc-by-4.0Feb 2023View details →
zenodo36/100

Rutor Glacier Surface Area - 2021

<p>Shape file of the Rutor glacier extension based on an orthophoto of September 2021.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Glacier-Waterton International Peace Park

This is a scale model of the relief/topology of [Glacier-Waterton International Peace Park](https://www.nps.gov/glac/blogs/exploring-waterton-glacier-international-peace-park.htm). 🇺🇸🇨🇦 The Rocky Mountains of Montana and Alberta meet here and form one of the most biologically diverse regions of the entire mountain range. This display is located inside the [Lake McDonald Lodge](https://www.glaciernationalparklodges.com/lodging/lake-mcdonald-lodge/) in Glacier National Park. Shot with an iPhone 12 Pro Max with Forge. #1scanaday Day 16 Source: Objaverse 1.0 / Sketchfab

opencc-byJul 2021View details →
zenodo36/100

Data and Figures for "Glacier Terminus Morphology Informs Calving Style"

<p>Data and figures for the submitted study "Glacier Terminus Morphology Informs Calving Style" (Pending review at GRL).</p> <p>&nbsp;</p> <p>Folders correspond to directories in notebooks provided on https://github.com/sgoliber/TerminusMorpho.</p> <p>&nbsp;</p> <p>The folder "figures" provides the figures in the manuscript.</p> <p><br><br>The folder "data" provides both primary and derived data for the study.&nbsp;Original<a href="https://www.pgc.umn.edu/guides/stereo-derived-elevation-models/pgc-dem-products-arcticdem-rema-and-earthdem/"> PGC DEMs</a> are not provided here due to size restriction, but can be downloaded directly from PGC. Please contact the author if you need the original files.</p>

opencc-by-4.0Jan 2024View details →
zenodo36/100

Time lapse videos from the proglacial area of Leverett Glacier in Greenland from 2022-2023

<p>This repository has been updated and should not be used. Please refer to:</p> <p><em>Gevers, M., F. Miesen,2024, Time lapse videos from the proglacial area of Leverett glacier in Kalaallit Nunaat (Greenland), melt seasons 2022 &amp; 2023. Zenodo. <a href="https://doi.org/10.5281/zenodo.10534091">doi:10.5281/zenodo.10534091</a></em></p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Recherchebreen delta formation and glacier flow velocity data

<p>Data supporting our study on the rapid delta formation connected to glacier surge. The dataset contains positions of delta shoreline and centreline length (2020-2022) together with glacier flow velocity derived from Sentinel-1. Delta-related data produced by Jan Kavan, glacier velocity data by Adrian Luckman.</p> <p>&nbsp;</p> <p>This study is a contribution to the National Science Centre project &lsquo;GLAVE&rsquo; (Award No. UMO-2020/38/E/ST10/00042).</p>

opencc-by-4.0Mar 2024View details →
dryad36/100

Widespread seawater intrusions beneath the grounded ice of Thwaites Glacier, West Antarctica

<p>Warm water from the Southern Ocean has a dominant impact on the evolution of Antarctic glaciers and in turn on their contribution to sea level rise. Using a continuous time series of daily-repeat satellite synthetic-aperture radar interferometry data from the ICEYE constellation collected in March-June 2023, we document an ice grounding zone, or region of tidally-controlled migration of the transition boundary between grounded ice and ice afloat in the ocean, at the main trunk of Thwaites Glacier, West Antarctica, a strong contributor to sea level rise with an ice volume equivalent to a 0.6-m global sea level rise. The ice grounding zone is 6 km wide in the central part of Thwaites with shallow bed slopes, and 2 km wide along its flanks with steep basal slopes. We additionally detect irregular seawater intrusions, 5-10 cm in thickness, extending another 6 km upstream, at high tide, in a bed depression located beyond a bedrock ridge that impedes the glacier retreat. Seawater intrusions align well with regions predicted by the GlaDS subglacial water model to host a high-pressure distributed subglacial hydrology system in between lower-pressure subglacial channels. Pressurized seawater intrusions will induce vigorous melt of grounded ice over kilometers, making the glacier more vulnerable to ocean warming, and increasing the projections of ice mass loss. Kilometer-wide, widespread seawater intrusion beneath grounded ice may be the missing link between the rapid, past, and present changes in ice sheet mass and the slower changes replicated by ice sheet models. The dataset includes grounding line positions, all ICEYE radar interferograms and parameter files, files of tidal predictions and corrections for change in atmospheric pressure, and output products from the GlADS subglacial hydrology model.</p>

opencc-zeroMar 2024View details →
zenodo36/100

Code and datasets for "Controls on sediment transport from a glacierized catchment in the Swiss Alps established through inverse modeling of geomorphic processes"

<p>Code and datasets for:</p> <p>Delaney I., M. A. Werder, D. Felix, I. Albayrak, R. M. Boes, D. Farinotti, 2024, Controls on sediment transport from a glacierized catchment in the Swiss Alps established through inverse modeling of geomorphic processes. Water Resources Research.&nbsp;</p> <p>For more information, contact Ian Delaney (ianarburua.delaney@unil.ch).</p>

opencc-by-4.0Nov 2023View details →
dryad36/100

Data for: Subglacial freshwater driven speedup of East Antarctic outlet glacier retreat

<p>Recent studies have revealed the presence of a complex freshwater system underlying the Aurora Subglacial Basin (ASB), a region of East Antarctica that contains ~7 m of global sea level potential in ice mainly grounded below sea level. Yet, the impact that subglacial freshwater has on driving the evolution of the dynamic outlet glaciers that drain this basin has yet to be tested in a coupled ice sheet-subglacial hydrology numerical modeling framework. Here, we project the evolution of the primary outlet glaciers draining the ASB (Moscow University Ice Shelf, Totten, Vanderford, and Adams Glaciers) in response to an evolving subglacial hydrology system and to ocean forcing through 2100, following low and high CMIP6 emission scenarios. By 2100, ice-hydrology feedbacks enhance the ASB's 2100 sea level contribution by ~30% (7.50 mm to 9.80 mm) in high emission scenarios and accelerate retreat of Totten Glacier's main ice stream by 25 years. Ice-hydrology feedbacks are particularly influential in the retreat of the Vanderford and Adams Glaciers, driving an additional 10 km of retreat in fully-coupled simulations relative to uncoupled simulations. Hydrology-driven ice shelf melt enhancements are the primary cause of domain-wide mass loss in low emission scenarios, but are secondary to ice sheet frictional feedbacks under high emission scenarios. The results presented here demonstrate that ice-subglacial hydrology interactions can significantly accelerate retreat of dynamic Antarctic glaciers and that future Antarctic sea level assessments that do not take these interactions into account might be severely underestimating Antarctic Ice Sheet mass loss. </p> <p>In this data publication, we present the model output and results associated with the following manuscript recently submitted to the Journal of <em>Geophysical Research: Earth Surface</em>: "Subglacial discharge accelerates ocean driven retreat of Aurora Subglacial Basin outlet glaciers over the 21st century". We include yearly ice sheet model output between 2017-2100 for eight numerical ice-subglacial hydrology model runs. We also include the ice sheet and subglacial hydrology model initial states. In addition, we include all ocean forcing time-series (temperature and salinity for the low emission and high emission climate forcing scenarios for three glacial regions), which are used as input into the melt parameterization. Lastly, we include a MATLAB script that contains the code used to couple the ice-subglacial hydrology models as well as a "readme" file with further information on all data in this publication.</p>

opencc-zeroMar 2024View details →
dryad36/100

Responses of Pine Island and Thwaites glaciers to melt and sliding parameterizations

<p>Pine Island and Thwaites glaciers are the two largest contributors to sea level rise from Antarctica. Here we examine the influence of basal friction and melt in determining projected losses. We examine both Weertman and Coulomb friction laws with explicit weakening as the ice thins to flotation, which many friction laws include implicitly via the effective pressure. We find relatively small differences with the choice of friction law (Weertman or Coulomb) but find losses are highly sensitive to the rate at which the basal traction is reduced as the area above the grounding line thins. Consistent with earlier work on Pine Island Glacier, we find sea level contributions from both glaciers vary linearly with the melt volume averaged over time and space, with little influence from the spatial or temporal distribution of melt. Based on recent estimates of melt from other studies, our work simulations suggest that melt-driven combined sea-level rise contribution from both glaciers is unlikely to exceed 10 cm by 2200. We do not include other factors, such as ice shelf breakup that might increase loss, nor factors such as increased accumulation and isostatic uplift that may mitigate loss.</p>

opencc-zeroMar 2024View details →
dryad36/100

Arthropod food webs in the foreland of a retreating glacier: Gut content analysis and structural equation modeling (SEM)

<p>Below- and above-ground arthropod communities were explored at a glacier foreland area in low Arctic Southwest Greenland aiming for a better understanding of the mechanisms behind the arthropod succession driven by increasing temperatures in the context of an Arctic climate change scenario. Arthropods were sampled in 2015 and 2016 along a downslope transect where the microclimate became warmer downhill a chronosequence towards a climax vegetation. The arthropod data sets were analyzed in relation to an environmental data set. Bottom-up controlled population developments were important in the early phase of the vegetation development while top-down prevailed in the later phase of the vegetation development. The shift from bottom-up to top-down cascades between arthropod predators and their potential prey populations was mainly driven by increasing temperatures away from the glacier. Structural equation modeling (SEM) shows bottom-up and top-down controlled food chains as bottom-up control was important for spider and harvestman populations while top-down control was important for ground beetle populations. These mechanisms are closely related to the hunting strategies of the predators as bottom-up mechanisms are connected to a sit-and-wait behavior while top-down mechanisms are related to active-search behavior. The SEM analyzes were supported by DNA metabarcoding as well as by the literature. A consequence of the strong top-down cascades in the later phase of the succession is high rates of intra-guild predation (IGP) among all arthropod predators. Particularly in the guts of the linyphiid spider, <em>Collinsia holmgreni </em>Thorell 1871, trophic linkages to other linyphiid and lycosid spiders were detected. The IGP ratio of <em>C. holmgreni</em> was negatively correlated with the activity density of available ground-living prey. Probably as a consequence of the high IGP among the linyphiid spiders, cold-adapted linyphiid species like <em>C. holmgreni</em> decreased in numbers downhill and became extinct in the warmer climax vegetation, where lycosid spiders dominated. SEM shows that the declining activity densities of the soil fauna, such as collembolans and mites, due to predation, are responsible for the increase in organic matter content in the topsoil.</p>

opencc-zeroMar 2024View details →
zenodo36/100

DEMs and orthophotos of a kame terrace, a proglacial lake and a proglacial valley close to the Mittivakkat glacier in East Greenland.

<p>The raw data was acquired using a Platinum MavikPro drone. The images were imported in Agisoft Metashape and a DEM and orthophoto were created following the workflow for the generation of an orthophoto and DEM (without GCPs) as provided on the Agisoft Metashape Website. The DEM height was corrected using the ArcticDEM and the Pleaides DEM as references. In case of the proglacial lake, the lake surface in the DEM was smoothed to eliminate the artefacts in the water areas, which resulted from the DEM generation based on stereo-imagery.&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Proglacial lake and river temperatures at Bridge Glacier, BC, Canada

<p>Data sets and scripts used in the analysis for the following article:</p> <p>Pelto B, Browning B, Bird L, Moyer A, Moore RD. 2024.&nbsp;Lake surface and downstream river temperature response to the retreat of a lake-terminating glacier. <em>Hydrological Processes</em>.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Data supporting "Transition between mechanical and geometric controls in glacier crevassing processes".

<p>The folders:</p> <ul> <li><strong><em>results_Geometrical_Regime</em></strong></li> <li><strong><em>results_Mechanical_Regime</em></strong></li> <li><strong><em>results_3D</em></strong></li> <li><strong><em>results_varyingLengthSlope</em></strong></li> <li><strong><em>results_varyingVelocity</em></strong></li> </ul> <p>contain the data for spacing and depth of the crevasses in the different simulations. Each simulation folder is named after the ice thickness H and cohesion c. For example, H300c2 means an ice thickness of 300m and a cohesion of 2MPa.</p> <p>The simulation files contain data measured every 10 frames. Empty files imply two possibilities:<br>-the crevasse(s) are away from the window measurement (the window is approximately 1500m wide around the obstacle).<br>-No crevasses are observed or at least no distinguishable enough.</p> <p>**<br>The python code <strong><em>readDataMeasuredInSimulations.py</em></strong> use the <strong><em>readDataPP</em></strong> class to plot the measures from the previous folders.<br>All the figures from the paper can be reproduced using this code.</p> <p>**</p> <p>The full simulation results cannot be transfered as a supplementary material as it is too large (20Go for each simulation). However we provide two full result files:&nbsp;<strong>H300_c0_4.abc</strong> and&nbsp; <strong>H100_c2.abc. </strong>We provide an example of the init.lua file used to launch a simulation with given parameters and configurations. The configurations used in the simulations are all provided in the geometry.zip file.</p> <p>A version of the MPM numerical model can be found in a previous publication at<strong> https://www.nature.com/articles/s43247-021-00179-7.&nbsp;</strong></p> <p>&nbsp;</p>

opencc-by-4.0Jan 2024View details →
zenodo36/100

Data for the publication: Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations

<p>This repository contains the data and results associated to the publication submitted entitled "Surging process and mechanism of small glaciers in the Qilian mountains revealed by long-term and dense remote sensing observations".</p> <p>The results and data contain:</p> <ul> <li>Raw and processed ASTER DEM time series data stored in netcdf format (<em>Hala_surges_aster**.nc</em>):&nbsp;</li> </ul> <ol> <li>Raw DEM stack composed of 56 ASTER DEM.</li> <li>Processed DEM stacks generated by LOWESS-ALPS-REML workflow in each step.</li> </ol> <ul> <li>Multi-temporal elevation change maps stored in geotiff format:</li> </ul> <ol> <li>multi-temporal elevation change results calculated from different DEMs during different period &nbsp;(<em>Hala_surges_[sensor]_[period]_dh_final.tif</em>).</li> <li>Elevation difference map of SRTM-X and SRTM-C DEMs for estimation penetration depth difference (&nbsp;&nbsp;<br><em>strm-c_x_n37_39_e96_e98_pentration_dh_final.tif</em>)</li> </ol> <ul> <li>Flow velocity time-series result processed by TICOI package stored in netcdf format:</li> </ul> <ol> <li>Irregular-sampling time-series inverted flow velocity results, represted by pixel-wise cumulative displacements (&nbsp; &nbsp;&nbsp;<br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_invert_ticoi.nc</em>)</li> <li>Regular-sampling time-series flow velocity results, interpolated to 30 days interval from the inverted results (&nbsp; &nbsp;&nbsp;<br><em>Hala_surges_LS7_LS8_ticoi_flow_angle_refine_velo_interp_ticoi.nc</em>)</li> </ol>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Hydraulic tremor recorded at Tête Rousse Glacier, Mont-Blanc Massif

<p>Analysis of seismic tremor detected at T&ecirc;te rousse Glacier in May 2022</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Supplementary Data for "Progressively smaller outbursts despite worldwide growth of glacier lakes"

<p>This respository contains the source data for the study for<em><strong> Progressively smaller outbursts despite worldwide growth of glacier lakes</strong></em>&nbsp;by Georg Veh and co-authors.</p> <p>We investigate trends in the size of glacier lake outburst floods (GLOFs) in 13 mountain regions on 4 continents between 1990 and 2023. We distinguish between moraine-and bedrock-dammed lakes on the one hand, and ice-dammed and supraglacial lakes on the other hand. We use Bayesian hierarchical models, implemented in the package <em>brms</em>&nbsp;in in the statistical programming software&nbsp;<em>R</em> to model temporal trends in the lake area prior to failure on different geographical levels. More information on these data, including detailed scripts to process them, are available at https://github.com/geveh/GLOFsize.</p> <p>We provide the following data:</p> <p><strong>1 The GLOF database</strong></p> <ul> <li><em>glofdatabase_2024_10_21.ods:</em> OpenOffice table with all reported GLOFs. Compiliation as of Oct 21, 2024.</li> <li><em>all_glofs_tibble.RDS: </em>R-object of all reported GLOFs in the global GLOF database; data are not trimmed to the period 1990-2023.</li> <li><em>la_sf.RDS: </em>R-object containing all GLOFs with mapped lake areas before the outburst in the period 1990-2023.</li> <li><em>reported_GLOFs.rds:</em> R-object containing a table of reported GLOFs in the period 1990-2023 with machine readable names of glaciers and lakes.</li> <li><em>reported_GLOFs_with_geometry.rds: </em>R-object containing a&nbsp;<em>simple features</em> (sf) object of reported GLOFs in the period 1990-2023 with machine readable names of glaciers and lakes.</li> </ul> <p>For a description of the parameters in these tables and R-objects, please visit: L&uuml;tzow, N., Veh, G., &amp; Korup, O. (2023). A global database of historic glacier lake outburst floods. Earth Syst. Sci. Data, 15, 2983&ndash;3000, https://doi.org/10.5194/essd-15-2983-2023</p> <p>The GLOF database, V4.1 is also available at: http://glofs.geoecology.uni-potsdam.de/</p> <p>&nbsp;</p> <p><strong>2 Regional extents of study regions</strong></p> <ul> <li><em>rgiO2_dissolved_outlines.shp</em>: Merged outlines of the RGI O2 according to the 13 study regions in ESRI shapefile format&nbsp;</li> <li><em>glacier_buffers_split_by_O2_no_fid_correct_FULLNAME_2.gpkg: </em>Regional 5-km buffers around glaciers with overlapping buffers removed in geopackage format.</li> </ul> <p>&nbsp;&nbsp; &nbsp;</p> <p><strong>3 Estimated glacier thickness data</strong></p> <ul> <li><em>RGI-wide_composites_stats_GV.txt:</em> Textfile of estimated glacier thickness for every glacier in the Randolph Glacier Inventory V6.0. Data were made available from Daniel Farinotti (personal communication).</li> <li><em>reg_invs_bind.rds: </em>A table of all glaciers in the 13 study region that had an estimate of average ice thickness.</li> </ul> <p>&nbsp;</p> <p><strong>4 Glacier lake data</strong></p> <p>We do not share raw data from previously lake inventories because they might be subject to different licenses. Please contact the authors directly if you would like to access these data. Here we share</p> <ul> <li><em>Glacier_lakes_global.ods: </em>OpenOffice spreadsheet of previously published glacier lake inventories, including reference to the underlying study, year, and satellite image used to map glacier lakes.</li> <li><em>lakes_gt_1km.gpkg:&nbsp;</em>A geopackage of all lakes &gt;1km&sup2; as of 2015 or later, manually labelled with descriptors of their geometric properties obtained from interpreting high-resolution satellite images.</li> </ul>

opencc-by-4.0Mar 2024View details →
dryad36/100

Fine-scale spatial segregation in a pelagic seabird driven by differential use of tidewater glacier fronts

<div class="WordSection1"> <p><span><span>In colonially breeding marine predators, individual movements and colonial segregation are influenced by seascape characteristics. Tidewater glacier fronts are important features of the Arctic seascape and are often described as foraging hotspots. Albeit their documented importance for wildlife, little is known about their structuring effect on arctic predator movements and space use. In this study, we tested the hypothesis that tidewater glacier fronts can influence marine bird foraging patterns and drive spatial segregation among adjacent colonies. We analysed movements of black-legged kittiwakes (<i>Rissa tridactyla</i>) in a glacial fjord by tracking breeding individuals from five colonies. Although breeding kittiwakes were observed to travel up to <i>ca</i>. 280 km from the colony, individuals were more likely to use glacier fronts located closer to their colony and rarely used glacier fronts located farther away than 18 km. Such variation in the use of glacier fronts created fine-scale spatial segregation among the four closest (<i>ca</i>. 7 km distance on average) kittiwake colonies. Overall, our results support the hypothesis that spatially predictable foraging patches like glacier fronts can have strong structuring effects on predator movements and can modulate the magnitude of intercolonial spatial segregation in central-place foragers.</span></span></p> </div> <p> </p>

opencc-zeroNov 2021View details →
zenodo36/100

Kongsvegen glacier cave map

<p>Mapping data of a glacier cave inside the tidewater glacier Kongsvegen (western Svalbard, Norway), collected on 06th of June 2021. Data was collected using a handheld GPS unit and a DistoX mapping device.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Glacier thickness maps for Ecuador and Colombia

<p>Upload associated with Scientific Data submission: Glacier thickness and ice volume of the inner tropical Andes.</p> <p>The dataset includes:</p> <p>-Ice velocity maps for all 11 glacier regions (5 in Ecuador and 6 in Colombia)</p> <p>-Ice thickness maps for all 11 glacier regions generated using the 6 different thickness calculation methods</p> <p>-Multi-model ensemble mean glacier thickness maps for all 11 glacier regions</p> <p>-Basin-divided ice volumes for each glacier region, with a 1 km, 5 km, and 20 km buffer</p> <p>-Results of a full parameter sensitivity test for the thickness calculation</p> <p>All data are saved in 32-bit floating-point geotiff format. The data are freely available under the Creative Commons Attribution Licence, CC BY 4.0.</p> <p>The feature-tracking code used to derive ice velocities, GIV, is available on github and Zenodo (https://doi.org/10.5281/zenodo.4904544). All other code, including Google Earth Engine download scripts and the ice-thickness inversion code is available on zenodo (https://doi.org/10.5281/zenodo.6323069).</p>

opencc-by-4.0Mar 2022View details →

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