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Measurements from the debris-covered Imja-Lhotse Shar Glacier (2013-2014)

<p>These data are from the debris-covered portion of Imja-Lhotse Shar Glacier (27.901N, 86.938E, ~5050 m a.s.l.)&nbsp;located in the Nepal Himalaya that were&nbsp;collected during three field expeditions&nbsp;between September 2013 and November&nbsp;2014.&nbsp; The data includes debris thickness measurements derived primarily by manual excavation,&nbsp;debris temperature measurements from thermistors located at the surface or within the debris, ablation stakes, and high-resolution digital elevation models used to estimate the surface roughness. Below is a brief description of the various datasets:</p> <p>- 15.03743_rounce2014-hd.csv: debris thickness measurements (m) from Rounce and McKinney (2014) and Rounce et al. (2015).</p> <p>- 15.03743_rounce2014-ts.csv: debris temperature measurements (K) where the depth is reported in cm from Rounce and McKinney (2014).</p> <p>- 15.03743_rounce2015-melt.csv: ablation stake measurements from the period May 18 - Nov 9 2014&nbsp;detailed in&nbsp;Rounce et al. (2015).</p> <p>- 15.03743_rounce2015-ts.csv: debris temperature measurements (K) where the depth is reported in cm from Rounce et al.&nbsp;(2015).</p> <p>- Site_XX_DEM_1cm.tif: digital elevation model used to estimate surface roughness from Rounce et al. (2015).</p> <p>&nbsp;</p> <p>----- Citing datasets -----</p> <p>If using the debris thickness measurements (15.03743_rounce2014-hd.csv) or temperature data from September 2013 (15.03743_rounce2014-ts.csv), please cite:</p> <p>Rounce, D.R. and McKinney, D.C. (2014). Debris thickness of glaciers in the Everest area (Nepal Himalaya) derived from satellite imagery using a nonlinear energy balance model,&nbsp;<em>Cryosphere</em>, 8:1317-1329, doi:10.5194/tc-8-1317-2014.</p> <p>For all other data please cite:</p> <p>Rounce, D.R., Quincey, D.J., and McKinney, D.C. (2015). Debris-covered glacier energy balance model for Imja-Lhotse Shar Glacier in the Everest region of Nepal,&nbsp;<em>Cryosphere</em>, 9:2295-2310, doi:10.5194/tc-9-2295-2015.</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0