Simulated glacier runoff to 75 global major river basins (2000-2100, 3 glacier models)

This dataset accompanies our study examining projected, century-scale, glacier runoff simulated by three global glacier evolution models (GloGEM, OGGM, and PyGEM). The dataset includes glacier model projections for all 75 major river basins of interest and includes four Shared Socioeconomic Pathways (SSPs) and twelve Global Climate Models (GCMs). Projections, originally provided as single glacier simulations for RGI (Randolph Glacier Inventory) regions of interest were aggregated at the basin scale using Jupyter notebooks. The dataset gives glacier runoff projections, for all three models, for each combination of GCM, SSP, and basin, with monthly resolution.

Methods
Glacier model projections (generated by each of the three implemented glacier evolution models) for all RGI regions of interest (and all 4 SSPs and 12 GCMs) were uploaded to Drive separately. A jupyter notebook was created for each RGI region and each glacier model. Within these notebooks regional datasets containing single glacier projections were read in from Drive and aggregated on a basin scale. Single basin dataframes were then combined into a single data frame such that the index row provides the GCM, SSP, and basin. The projections are given with monthly resolution (given by the "Date" column). There are two versions of the data. The reason for these versions is that one of the glacier models (GloGEM) provided projections for hydrologic years (such that the first provided value is for October 1999) while the other two (OGGM & PyGEM) used calendar years (such that the first projection is for January 2000). With this in mind, the first dataset "all_rf_data.csv" begins its time indexing in January 2000 for all models (ie October 1999 for GloGEM is indexed as January 2000). This data set should be used as if you are summing annual totals. The second data set "all_rf_aligned_data.csv" begins in Ocotber 1999. This aligns the months (though it also introduces zero values for the first three months of the OGGM & PyGEM projections) such that one can easily compare seasonal cycles across models. It is also important to note the while GloGEM and PyGEM provided projections through 2100, OGGM only provided projections through 2099. Thus, the final year is filled with zero values for OGGM.