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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Pre-processed input data for large-scale High Mountain Asia snow model

Authors: P.D.A. Kraaijenbrink;

Pre-processed input data for large-scale High Mountain Asia snow model

Abstract

Input datasets necessary to run the snow model of Kraaijenbrink et al. (2021) for the High Mountain Asia region in the same setup as the study. For more information on this data, pre-processing and the exact source datasets used, please refer to the original paper and its methods section. Model code is available here. File descriptions basin_mask.tif Grid with mask of major basins at 0.05° grid. cmip6_deltas_ensmeans.tar Archive holding grids of climatological deltas between the reference period (2000–2019) and end of century (2081–2100) for precipitation (factor) and temperature (K) for all CMIP6 RCP-SSP ensemble means (SSP119, SSP126, SSP245, SSP370, SSP434, SSP460, SSP585). era5_2m-temperature_3h_1979-2019.nc ERA5 2m air temperature at 0.25° grid for the period 1979-2019, aggregated to 3-hourly resolution. era5_cellaverage_srtm.tif Shuttle Radar Topography Mission elevation data, spatially averaged at the ERA5 0.25° grid. era5_total-precipitation_3h_1979-2019.nc ERA5 total precipitation at 0.25° grid for the period 1979-2019, aggregated to 3-hourly resolution. LST_monclim_1km.nc Monthly climatologies of MODIS land surface temperature for the period 2000–2019. snowpersistence_ndsi10_monclim.nc Monthly climatologies of MODIS-derived snow persistence for the period 2000–2019. snowpersistence_ndsi10_monclim_mean.nc Average MODIS-derived snow persistence over the period 2000–2019. srtm_elevation_1000m.nc Shuttle Radar Topography Mission elevation data, spatially averaged to ~0.009° grid. srtm_elevation_500m.nc Shuttle Radar Topography Mission elevation data, spatially averaged to ~0.0045° grid tbias_005dd.tif Temperature biases on 0.05° model grid at standard settings. Model output Daily output time series and climatological future projections of snow water equivalent and snow melt presented in Kraaijenbrink et al. (2021) are available here. References Kraaijenbrink, P. D. A., Stigter, E. E., Yao, T., and Immerzeel, W. W. (2021). Climate change decisive for Asia’s snow meltwater supply. Nature Climate Change. doi:10.1038/s41558-021-01074-x.

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Keywords

High Mountain Asia, Snow water equivalent, Snow

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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