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RRR input and output files corresponding to "Global patterns in river water storage dependent on residence time"

<p><strong>Corresponding peer-reviewed publication</strong></p> <p>This dataset corresponds to all the RRR input and output files that were used in the study reported in:</p> <ul> <li>Collins, E. L., C. H. David, R. Riggs, G. H. Allen, T. M. Pavelsky, P. Lin, M. Pan, D. Yamazaki, R. K. Meentemeyer, and G. M. Sanchez (2024), Global patterns in river water storage dependent on residence time.</li> </ul> <p>When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein.</p> <p><strong>Input datasets</strong></p> <p>The dataset herein benefited from and was built upon other datasets:</p> <ul> <li>MERIT-Basins (version 1.0) derived from MERIT-Hydro (version 0.7) available under a CC BY-NC-SA 4.0 license.&nbsp;<a href="https://www.reachhydro.org/home/params/merit-basins">https://www.reachhydro.org/home/params/merit-basins</a></li> <li>GLDAS VIC Land Surface Model L4 monthly 1.0 x 1.0 degree (V2.0) available under a CC0 license.&nbsp;<a href="https://science.nasa.gov/spd-41/">https://science.nasa.gov/spd-41/</a>. DOI:&nbsp;<a href="https://doi.org/10.5067/ZRIHVF29X43C">10.5067/ZRIHVF29X43C</a></li> <li>GLDAS Noah Land Surface Model L4 monthly 1.0 x 1.0 degree (V2.0) available under a CC0 license.&nbsp;<a href="https://science.nasa.gov/spd-41/">https://science.nasa.gov/spd-41/</a>. DOI:&nbsp;<a href="https://doi.org/10.5067/QN80TO7ZHFJZ">10.5067/QN80TO7ZHFJZ</a></li> <li>GLDAS Catchment Land Surface Model L4 monthly 1.0 x 1.0 degree (V2.0) available under a CC0 license.&nbsp;<a href="https://science.nasa.gov/spd-41/">https://science.nasa.gov/spd-41/</a>. DOI:&nbsp;<a href="https://doi.org/10.5067/SGSL3LNKGJWW">10.5067/SGSL3LNKGJWW</a></li> </ul> <p><strong>Known bugs and limitations in this dataset or the associated manuscript</strong></p> <p>In the original files for MERIT-Basins (version 1.0) 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, the same value as the total number of catchments.</p> <p>In the original files for MERIT-Basins (version 1.0) 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.</p> <div> <div> <div> <p>Our monthly dataset of river gauges with 95% daily data availability for 1980&ndash;2009 and with average discharge greater than or equal to 100 m3/s contains 1,148 stations. After mapping gauges to the MERIT Hydro river network using a joint criteria of 1) within a distance of 0.05 degrees and 2) uncorrected 30-yr average simulated discharge of the river reach within one order of magnitude relative to the observed average discharge of the gauge; the number of gauges reduces to 1129. In cases of multiple gauges per reach, we selected the gauge that had the closest observed average discharge to the uncorrected 30-yr averages simulated, resulting in 1,001 gauges. The dataset was further split in calibration gauges (702) and validation gauges (299). Three specific gauges are located in places with 0 accumulation of runoff in their specific sub-basin, they are located at river reaches with ID 41003992, 41001545, and 24005996. These three gauges were removed from the overall analysis at all gauges, resulting in 998 total gauges. All three gauges are part of the 299 validation gauges, not the 702 calibration gauges. They were retained in the analysis of 299 validation gauges.&nbsp;</p> <p>&nbsp;</p> </div> </div> </div> <p><strong>Files included in this version</strong></p> <p>All monthly discharge observation files for 1148 gauges, in shapefile and CSV formats:</p> <ul> <li>sites_1980-01_2009-12_100cms_095p.zip</li> <li>timeseries_obs_1980-01_2009-12_100cms_095p_monthly.zip</li> </ul> <p>All CSV files corresponding to the hydrography of all pfaf_level_02 regions of MERIT-Hydro v0.7 Basins v1.0 (i.e. the 61 values of <em>ii</em>):</p> <ul> <li>coords_pfaf_<em>ii</em>.zip</li> <li>kfac_pfaf_<em>ii</em>_1km_hour.zip</li> <li>k_pfaf_<em>ii</em>_low.zip</li> <li>k_pfaf_<em>ii</em>_nrm.zip</li> <li>k_pfaf_<em>ii</em>_hig.zip</li> <li>rapid_catchment_pfaf_<em>ii</em>.zip</li> <li>rapid_connect_pfaf_<em>ii</em>.zip</li> <li>rapid_coupling_pfaf_<em>ii</em>_GLDAS.zip</li> <li>riv_bas_id_pfaf_<em>ii</em>_topo.zip</li> <li>sort_pfaf_<em>ii</em>_topo.zip</li> <li>xfac_pfaf_<em>ii</em>_0.1.zip</li> <li>x_pfaf_<em>ii</em>_low.zip</li> <li>x_pfaf_<em>ii</em>_nrm.zip</li> <li>x_pfaf_<em>ii</em>_hig.zip</li> </ul> <p>All netCDF4 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):</p> <ul> <li>GLDAS_CLSM_M_1980-01_2009-12_utc.zip</li> <li>GLDAS_NOAH_M_1980-01_2009-12_utc.zip</li> <li>GLDAS_VIC_M_1980-01_2009-12_utc.zip</li> <li>GLDAS_ENS_M_1980-01_2009-12_utc.zip (the 3-model ensemble average based on the three above models).</li> </ul> <p>All netCDF4 files with monthly lateral inflows (based on the GLDAS data above), corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:</p> <ul> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_CLSM_M_1980-01_2009-12_utc.zip</li> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_NOAH_M_1980-01_2009-12_utc.zip</li> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_VIC_M_1980-01_2009-12_utc.zip</li> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.zip</li> </ul> <p>All netCDF4 files with monthly discharge (based on the m3_riv data above), corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:&nbsp;</p> <ul> <li>Qout_pfaf_<em>ii</em>_GLDAS_CLSM_M_1980-01_2009-12_utc.zip</li> <li>Qout_pfaf_<em>ii</em>_GLDAS_NOAH_M_1980-01_2009-12_utc.zip</li> <li>Qout_pfaf_<em>ii</em>_GLDAS_VIC_M_1980-01_2009-12_utc.zip</li> <li>Qout_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.zip</li> </ul> <p>All netCDF4 files with monthly storage (based on the Qout_pfaf_<em>ii</em>_GLDAS_ENS data above), corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code, and to each characteristic value of residence time (low, nrm, hig):</p> <ul> <li>V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_low.zip</li> <li>V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_nrm.zip</li> <li>V_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc_hig.zip</li> </ul> <p>All shapefiles with MERIT Hydro (v0.7) Basins (v1.0) river network on which the 30-year mean of lumped discharge was appended (based on the Qout_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.zip data above):</p> <ul> <li>riv_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_GLDAS_ENS.zip</li> </ul> <p>All monthly discharge observation files for 1148 gauges, in shapefile format, with observed monthly mean appended:</p> <ul> <li>sites_1980-01_2009-12_100cms_095p_meanQ.zip</li> </ul> <p>All monthly discharge observation files for 1001 gauges snapped on the MERIT Hydro (v0.7) Basins (v1.0) river network, in shapefile and CSV formats, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:&nbsp;</p> <ul> <li>sites_1980-01_2009-12_100cms_095p_meanQ_COR_pfaf_<em>ii</em>.zip</li> <li>sites_1980-01_2009-12_100cms_095p_meanQ_COR.zip</li> <li>obs_tot_id_1980-01_2009-12_100cms_095p_meanQ_COR_pfaf_<em>ii</em>.zip</li> <li>Qobs_1980-01_2009-12_100cms_095p_meanQ_COR_pfaf_<em>ii</em>.zip</li> </ul> <p>All monthly discharge observation files for 1001 gauges snapped on the MERIT Hydro (v0.7) Basins (v1.0) river network, separated into calibration (CAL) and validation (VAL) gauges, in shapefile and CSV formats, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:&nbsp;</p> <ul> <li>sites_1980-01_2009-12_100cms_095p_meanQ_CAL.zip</li> <li>obs_bas_id_1980-01_2009-12_100cms_095p_meanQ_CAL_pfaf_<em>ii</em>.zip</li> <li>sites_1980-01_2009-12_100cms_095p_meanQ_VAL.zip</li> </ul> <p>All netCDF4 files with monthly lateral inflows (based on the m3_riv_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.zip data above) corrected using Long-Term Inverse Routing for calibration (CAL) gauges only and associated monthly discharge data, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:</p> <ul> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_CAL_M_1980-01_2009-12_utc.zip</li> <li>Qout_pfaf_<em>ii</em>_GLDAS_CAL_M_1980-01_2009-12_utc.zip</li> </ul> <p>All netCDF4 files with monthly lateral inflows (based on the m3_riv_pfaf_<em>ii</em>_GLDAS_ENS_M_1980-01_2009-12_utc.zip data above) corrected using Long-Term Inverse Routing for all correction (COR) gauges only and associated monthly discharge data, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:</p> <ul> <li>m3_riv_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc.zip</li> <li>Qout_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc.zip</li> </ul> <p>All netCDF4 files with monthly storage (based on the Qout_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc.zip data above), corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code, and to each characteristic value of residence time (low, nrm, hig):</p> <ul> <li>V_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc_low.zip</li> <li>V_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc_nrm.zip</li> <li>V_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc_hig.zip</li> </ul> <p>All shapefiles with MERIT Hydro (v0.7) Basins (v1.0) river network on which the 30-year mean of lumped discharge was appended (based on the Qout_pfaf_<em>ii</em>_GLDAS_COR_M_1980-01_2009-12_utc.zip data above):</p> <ul> <li>riv_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_GLDAS_COR.zip</li> </ul> <p>All shapefiles with MERIT Hydro (v0.7) Basins (v1.0) catchments that have been dissolved and of which the perimeter was extracted, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code; as well as global combined files:</p> <ul> <li>cat_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_disso.zip</li> <li>cat_ MERIT_Hydro_v07_Basins_v01_disso.zip</li> <li>cat_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_perim.zip</li> <li>cat_ MERIT_Hydro_v07_Basins_v01_perim.zip</li> </ul> <p>All shapefiles with MERIT Hydro (v0.7) Basins (v1.0) river network retaining only those reaches that flow to the global coast, corresponding to each one of the 61 values of <em>ii</em>, the pfaf_level_02 code:</p> <ul> <li>riv_pfaf_<em>ii</em>_MERIT_Hydro_v07_Basins_v01_coast.zip</li> </ul>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
12
Reuse readiness
8
Engagement
4