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

<strong>Corresponding peer-reviewed publication</strong> 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. <strong>Known bugs and limitations in this dataset or the associated manuscript</strong> 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. <strong>Files included in this version</strong> All CSV files corresponding to the hydrography of all pfaf_level_02 regions of MERIT-Hydro-Basins (i.e. the 61 values of <em>ii</em>): coords_pfaf_<em>ii</em>.csv kfac_pfaf_<em>ii</em>_1km_hour.csv k_pfaf_<em>ii</em>_low.csv k_pfaf_<em>ii</em>_nrm.csv k_pfaf_<em>ii</em>_hig.csv rapid_catchment_pfaf_<em>ii</em>.csv rapid_connect_pfaf_<em>ii</em>.csv rapid_coupling_pfaf_<em>ii</em>_GLDAS.csv riv_bas_id_pfaf_<em>ii</em>_topo.csv sort_pfaf_<em>ii</em>_topo.csv xfac_pfaf_<em>ii</em>_0.1.csv x_pfaf_<em>ii</em>_low.csv x_pfaf_<em>ii</em>_nrm.csv x_pfaf_<em>ii</em>_hig.csv