This page provides links to the supplementary data of Kraaijenbrink, Bierkens, Lutz and Immerzeel, 2017. Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers, Nature. Model scripts can be found in this repository.
Please note that all data is provided in 7z-archives. To extract the data use 7zip.

Citation:
Kraaijenbrink, P. D.A., Bierkens, M.F.P., Lutz, A.F., & Immerzeel, W.W. (2017). Supplementary data: Impact of a global temperature rise of 1.5 degrees Celsius on Asia’s glaciers (Version 1.0) [Data set]. Zenodo.

Model input

Raster data

The raster data that is required to run the model can be downloaded from the links below. There are separate links for the entire High Mountain Asia and for each RGI v5.0 sub-region. The downloadable 7z-archives hold separate folders for each glacier, which are named with the RGI glacier IDs. The rasters for each glacier are in GeoTIFF format, have a 30 m resolution in their local UTM projection (WGS84 datum), and are clipped to the RGI glacier extent.
[expand title=”Rasters present in each folder”]

classification.tif	The debris classification made in google earth engine.
debris-thickness-50cm.tif	Debris thickness estimation based on Landsat 8 surface temperature.
ice-thickness.tif	Ice thickness determined using the Glabtop2 model
ls8-composite-b456.tif	Landsat 8 warmest-pixel optical composite (bands RED, NIR, SWIR1)
ls8-composite-tsurf.tif	Landsat 8 warmest-pixel surface temperature composite
srtm-elevation.tif	SRTM 1 arc second elevation data
srtm-slope.tif	Slope of the SRTM 1 arc second data

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All regions (3.7 GB)

Central Himalaya (221 MB), East Himalaya (196 MB), East Kun Lun (120 MB), East Tien Shan (99 MB), Hengduan Shan (167 MB), Hindu Kush (108 MB), Hissar Alay (65 MB), Inner Tibet (291 MB), Karakoram (928 MB), Pamir (396 MB), Qilian Shan (57 MB), South and East Tibet (145 MB), West Himalaya (296 MB), West Kun Lun (315 MB), West Tien Shan (363 MB)

RDS data

The general model input data can be downloaded here (445 MB). The data in the 7zip archive is stored in R’s binary RDS format and R is required to open and read the data.
[expand title=”Files are present in the archive”]

dP_factors_2006-2100.rds	Precipitation changes (delta factors) up to 2100
dT_degrees_2006-2100.rds	Temperature changes (Kelvin) up to 2100
glacier-data.rds	Glacier centroids with current climate and mass balance input
ostrem_meancurve.rds	The Östrem curve used by the model
rgi-subregions.rds	RGI sub-region polygons for Asia

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Output data

Region-aggregated output is available in ESRI Shapefile format for the RGI sub-regions, major river basins, and for a 1×1 degree grid (download). The attribute tables of all shapefiles hold data on the occurrence of debris as well as current glacier area and volume, and volume projections for the end of century.
[expand title=”Available shapefile attributes”]

count		number of glaciers
a_total		total glacier area (m2)
a_debris  	glacier area covered by debris (m2)
a_ela     	glacier area below modelled ELA (m2)
a_ela_deb 	glacier area below modelled ELA covered by debris (m2)
v_total   	total glacier volume (m3)
v_debris  	glacier volume covered by debris (m3)
v_ela     	glacier volume below modelled ELA (m3)
v_ela_deb 	glacier volume below modelled ELA covered by debris (m3)
m_total_gt	total glacier mass (gigaton)
volST_EOC 	volume remaining in end of century under a stable current temperature
vol15_EOC 	volume remaining in end of century under 1.5 degree scenario
vol26_EOC 	volume remaining in end of century for the RCP2.6 model ensemble
vol45_EOC 	volume remaining in end of century for the RCP4.5 model ensemble
vol60_EOC 	volume remaining in end of century for the RCP6.0 model ensemble
vol85_EOC	volume remaining in end of century for the RCP8.5 model ensemble

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