RRR input and output files corresponding to "Residence time revealed as a key driver of global river water storage"

Corresponding peer-reviewed publication This dataset corresponds to all the RRR input and output files that were used in the study reported in: Collins, E. L., C. H. David, R. Riggs, G. H. Allen, P. Lin, M. Pan, D. Yamazaki, R. K. Meentemeyer, and G. M. Sanchez (201x), Residence time revealed as a key driver of global river water storage. When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein. Known bugs and limitations in this dataset or the associated manuscript In the original files for MERIT-Basins (version 0.1) derived from MERIT-Hydro (version 0.7), as obtained from the pfaf_level_02 zip files, two river reaches do not have a corresponding catchment: COMID=31000001 and COMID=61000003. These two river reaches were removed from our analysis, hence bringing the total number of river reaches used from 2,938,143 to 2,938,141. In the original files for MERIT-Basins (version 0.1) derived from MERIT-Hydro (version 0.7), as obtained from the pfaf_level_02 zip files, the attribute table for the river reach with COMID=67072432 contains only four upstream reaches (COMID=64072433, COMID=64072735, COMID=64073772, and COMID=64073786), while the reach actually has five upstream reaches on the map (those above and COMID=64073793). This was modified herein because all connectivity in this dataset was created by associating upstream and downstream nodes rather than using the attribute table. Files included in this version All CSV files corresponding to the hydrography of all pfaf_level_02 regions of MERIT-Hydro-Basins (i.e. the 61 values of ii): coords_pfaf_ii.csv kfac_pfaf_ii_1km_hour.csv k_pfaf_ii_low.csv k_pfaf_ii_nrm.csv k_pfaf_ii_hig.csv rapid_catchment_pfaf_ii.csv rapid_connect_pfaf_ii.csv rapid_coupling_pfaf_ii_GLDAS.csv riv_bas_id_pfaf_ii_topo.csv sort_pfaf_ii_topo.csv xfac_pfaf_ii_0.1.csv x_pfaf_ii_low.csv x_pfaf_ii_nrm.csv x_pfaf_ii_hig.csv