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>Input datasets</strong> The dataset herein benefitted from and built upon other datasets: MERIT-Basins (version 0.1) derived from MERIT-Hydro (version 0.7) available under a CC BY-NC-SA 4.0 license. https://www.reachhydro.org/home/params/merit-basins GLDAS VIC Land Surface Model L4 monthly 1.0 x 1.0 degree V2.0. DOI: 10.5067/ZRIHVF29X43C available under a CC Zero license (https://science.nasa.gov/spd-41/). GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree V2.0. DOI: 10.5067/QN80TO7ZHFJZ available under a CC Zero license (https://science.nasa.gov/spd-41/). GLDAS Catchment Land Surface Model L4 monthly 1.0 x 1.0 degree V2.0. DOI: 10.5067/SGSL3LNKGJWW available under a CC Zero license (https://science.nasa.gov/spd-41/). <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 v0.7 Basins v0.1 (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 All netCDF files with monthly surface and subsurface runoff that were combined from GLDAS 2.0 and corresponding to the following land surface models for the years 1980 to 2009 (both included): GLDAS_CLSM_M_1980-01_2009-12_utc.nc4 GLDAS_NOAH_M_1980-01_2009-12_utc.nc4 GLDAS_VIC_M_1980-01_2009-12_utc.nc4 GLDAS_ENS_M_1980-01_2009-12_utc.nc4 (the 3-model ensemble average based on the three above models). All netCDF files with monthly lateral inflows (based on the ensemble runoff), monthly discharge, and monthly storage; corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code: m3_riv_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.nc4 Qout_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.nc4 V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_low.nc4 V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_nrm.nc4 V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_hig.nc4 All zipped shapefiles with MERIT Hydro (v0.7) Basins (v0.1) river network on which the appended 30-year mean of lumped discharge (based on the ensemble runoff): riv_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_GLDAS_ENS.zip