Service Incident: New DOI registrations are working again. Re-registration of failed DOI registrations (~500) are still affected by the service incident at DataCite (our DOI registration agency).
Published October 30, 2011 | Version v1
Dataset Open

RAPID input and output files corresponding to "RAPID Applied to the SIM-France Model"

  • 1. Centre de Ge ́osciences, Mines Paristech, Fontainebleau, France
  • 2. UMR-7619 Sisyphe (CNRS, UPMC, Mines-Paristech), Paris, France
  • 3. Center for Research in Water Resources, University of Texas at Austin, Austin, TX, USA
  • 4. Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin, Austin, TX, USA

Description

Corresponding peer-reviewed publication

This dataset corresponds to all the RAPID input and output files that were used in the study reported in:

  • David, Cédric H., Florence Habets, David R. Maidment and Zong-Liang Yang (2011), RAPID applied to the SIM-France model, Hydrological Processes, 25(22), 3412-3425. DOI: 10.1002/hyp.8070. 

 

When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein. 

 

Time format

The times reported in this description all follow the ISO 8601 format.  For example 2000-01-01T16:00-06:00 represents 4:00 PM (16:00) on Jan 1st 2000 (2000-01-01), Central Standard Time (-06:00).  Additionally, when time ranges with inner time steps are reported, the first time corresponds to the beginning of the first time step, and the second time corresponds to the end of the last time step.  For example, the 3-hourly time range from 2000-01-01T03:00+00:00 to 2000-01-01T09:00+00:00 contains two 3-hourly time steps.  The first one starts at 3:00 AM and finishes at 6:00AM on Jan 1st 2000, Universal Time; the second one starts at 6:00 AM and finishes at 9:00AM on Jan 1st 2000, Universal Time.

 

Data sources

The following sources were used to produce files in this dataset:

  • The hydrographic network of SIM-France, as published in Habets, F., A. Boone, J. L. Champeaux, P. Etchevers, L. Franchistéguy, E. Leblois, E. Ledoux, P. Le Moigne, E. Martin, S. Morel, J. Noilhan, P. Quintana Seguí, F. Rousset-Regimbeau, and P. Viennot (2008), The SAFRAN-ISBA-MODCOU hydrometeorological model applied over France, Journal of Geophysical Research: Atmospheres, 113(D6), DOI: 10.1029/2007JD008548.
  • The observed flows are from Banque HYDRO, Service Central d’Hydrométéorologie et d’Appui à la Prévision des Inondations. Available at http://www.hydro.eaufrance.fr/index.php.
  • Outputs from a simulation using SIM-France (Habets et al. 2008).  The simulation was run by Florence Habets, and produced 3-hourly time steps from 1995-08-01T00:00+02:00 to 2005-07-31T21:02+00:00.  Further details on the inputs and options used for this simulation are provided in David et al. (2011).

 

Software

The following software were used to produce files in this dataset:

  • The Routing Application for Parallel computation of Discharge (RAPID, David et al. 2011, http://rapid-hub.org), Version 1.1.0.  Further details on the inputs and options used for this series of simulations are provided below and in David et al. (2011).
  • ESRI ArcGIS (http://www.arcgis.com). 
  • Microsoft Excel (https://products.office.com/en-us/excel). 
  • The GNU Compiler Collection (https://gcc.gnu.org) and the Intel compilers (https://software.intel.com/en-us/intel-compilers). 

 

Study domain

The files in this dataset correspond to one study domain:

  • The river network of SIM-France is made of 24264 river reaches.  The temporal range corresponding to this domain is from 1995-08-01T00:00+02:00 to 2005-07-31 T21:00+02:00.

 

Description of files

All files below were prepared by Cédric H. David, using the data sources and software mentioned above. 

  • rapid_connect_France.csv.  This CSV file contains the river network connectivity information and is based on the unique IDs of the SIM-France river reaches (the IDs).  For each river reach, this file specifies: the ID of the reach, the ID of the unique downstream reach, the number of upstream reaches with a maximum of four reaches, and the IDs of all upstream reaches.  A value of zero is used in place of NoData.  The river reaches are sorted in increasing value of ID.  The values were computed based on the SIM-France FICVID file.  This file was prepared using a Fortran program.
  • m3_riv_France_1995_2005_ksat_201101_c_zvol_ext.nc.  This netCDF file contains the 3-hourly accumulated inflows of water (in cubic meters) from surface and subsurface runoff into the upstream point of each river reach. The river reaches have the same IDs and are sorted similarly to rapid_connect_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005/07/31T21:00+02:00.  The values were computed using the outputs of SIM-France.  This file was prepared using a Fortran program.
  • kfac_modcou_1km_hour.csv.  This CSV file contains a first guess of Muskingum k values (in seconds) for all river reaches.  The river reaches have the same IDs and are sorted similarly to rapid_connect_France.csv.  The values were computed based on the following information: ID, size of the side of the grid cell, Equation (5) in David et al. (2011), and using a wave celerity of 1 km/h.  This file was prepared using a Fortran program.
  • kfac_modcou_ttra_length.csv.  This CSV file contains a second guess of Muskingum k values (in seconds) for all river reaches.  The river reaches have the same IDs and are sorted similarly to rapid_connect_France.csv.  The values were computed based on the following information: ID, size of the side of the grid cell, travel time, and Equation (9) in David et al. (2011).
  • k_modcou_0.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_1.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_2.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_3.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_4.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_a.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_b.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • k_modcou_c.csv.  This CSV file contains Muskingum k values (in seconds) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on the following information: kfac_modcou_1km_hour.csv and using Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_0.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_1.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_2.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_3.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_4.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_a.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_b.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • x_modcou_c.csv.  This CSV file contains Muskingum x values (dimensionless) for all river reaches.  The river reaches have the same COMIDs and are sorted similarly to rapid_connect_San_Guad.csv.  The values were computed based on Table (2) in David et al. (2011).  This file was prepared using a Fortran program.
  • rivsurf_France.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the SIM-France domain.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_adour.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Adour River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_allier.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Allier River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_ardeche.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Ardeche River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_dordogne.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Dordogne River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_garonne.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Garonne River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_garonne_reste.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Garonne River Basin, downstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_garonneariege.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Garonne and Ariege River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_herault.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Herault River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_loir.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Loir River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_loire.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Loire River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_loire_amont_nevers.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Loire River Basin, upstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_loire_reste.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Loire River Basin, downstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_lot.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Lot River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_meuse.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Meuse River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_oise.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Oise River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_rhone.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Rhone River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_rhone_reste.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Rhone River Basin, downstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_rhone_suisse.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Rhone River Basin, upstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_saone.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Saone River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_seine.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Seine River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_seine_amont.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Seine River Basin, upstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_seine_reste.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Seine River Basin, downstream.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_tarn.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Tarn River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • rivsurf_vienne.csv.  This CSV file contains the list of unique IDs of SIM-France river reaches in the Vienne River Basin.  The river reaches are sorted from upstream to downstream.  The values were computed using the ID field.  This file was prepared using Excel.
  • Qout_France_201101_c_zvol_ext_3653days_p1_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_p2_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_p3_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_p4_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_pa_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_pb_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_3653days_pc_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 2005-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_366days_p0_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 1996-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_366days_pb_dtR1800s.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 1996-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • Qout_France_201101_c_zvol_ext_366days_pb_dtR1800s_pougny.nc.  This netCDF file contains the 3-hourly averaged outputs (in cubic meters per second) from RAPID corresponding to the downstream point of each reach.  The river reaches have the same IDs and are sorted similarly to rivsurf_France.csv.  The time range for this file is from 1995-08-01T00:00+02:00 to 1996-07-31-21:00+02:00. The values were computed using the Muskingum method with parameters of Table (2) in David et al. (2011).  This file was prepared using RAPID v1.1.0 running with the preonly ILU solver on one core.
  • gage_id_1995_1996_full.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and with full daily data record.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • gage_id_1995_1996_full_nash.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and with full daily data record and for which RAPID simulations led to a positive efficiency value.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • gage_id_1995_2005_70.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and with 70% daily data record.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 2005-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • Qobs_1995_1996_full.csv.  This CSV file contains daily averaged measured stream flow (in cubic meters per second).  The river reaches have the same IDs and are sorted similarly to gage_id_1995_1996_full.csv.  The time range for the daily values is from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID, and the observations from SCHAPI.   This file was prepared using a Fortran program and Excel.
  • Qobs_1995_1996_full_nash.csv.  This CSV file contains daily averaged measured stream flow (in cubic meters per second).  The river reaches have the same IDs and are sorted similarly to gage_id_1995_1996_full_nash.csv.  The time range for the daily values is from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID, and the observations from SCHAPI.   This file was prepared using a Fortran program and Excel.
  • Qobs_1995_1996_full_nash_93.csv.  This CSV file contains daily averaged measured stream flow (in cubic meters per second).  The river reaches have the same IDs and are sorted similarly to gage_id_1995_1996_full_nash.csv.  The time range for the daily values is from 1995-11-01T00:00+02:00 to 2005-07-31T21:00+02:00.  The values were computed using the following field: ID, and the observations from SCHAPI.   This file was prepared using a Fortran program and Excel.
  • Qobs_1995_2005_70.csv.  This CSV file contains daily averaged measured stream flow (in cubic meters per second).  The river reaches have the same IDs and are sorted similarly to gage_id_1995_2005_70.csv.  The time range for the daily values is from 1995-08-01T00:00+02:00 to 2005-07-31T21:00+02:00.  The values were computed using the following field: ID, and the observations from SCHAPI.   This file was prepared using a Fortran program and Excel.
  • Qobsbarrec_1995_1996_full_nash.csv.  This CSV file contains the reciprocal of the averaged measured stream flow (in cubic meters per second).  The river reaches have the same IDs and are sorted similarly to gage_id_1995_1996_full_nash.csv.  The time range for the computation of the average is from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID, and the observations from SCHAPI.   This file was prepared using a Fortran program and Excel.
  • forcingtot_id_1995_1996_full.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the SIM-France domain.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • forcinguse_id_garonne_reste.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the Garonne River Basin, downstream.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • forcinguse_id_loire_reste.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the Loire River Basin, downstream.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • forcinguse_id_rhone_pougny.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the Rhone River Basin, downstream of Lake Geneva.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • forcinguse_id_rhone_reste.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the Rhone River Basin, downstream.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • forcinguse_id_seine_reste.csv.  This CSV file contains the list of IDs of rivers containing SCHAPI gauges and used as forcing instead of RAPID simulations for the Seine River Basin, downstream.   The river reaches are sorted in increasing value of ID.  The time range used for determining a full record is daily from 1995-08-01T00:00+02:00 to 1996-07-31T21:00+02:00.  The values were computed using the following field: ID.  This file was prepared using a Fortran program, and Excel.
  • Qfor_1995_1996_full.csv.  This CSV file is identical to Qobs_1995_1996_full.csv.
  • Qfor_1995_1996_full_93.csv.  This CSV file is identical to Qobs_1995_1996_full_nash_93.csv.
  • Qinit_93.csv.  This CSV file contains the final state of RAPID after a simulation ending on 1995-11-31T00:00+02:00

 

Known bugs and limitations in this dataset or the associated manuscript.

A small bug in RAPID v1.1.0 was discovered and fixed on 2011-07-16 that had an impact on the optimization of parameters when using forcing data to replace upstream simulations.  This bug led to erroneous results for only two of the basins where upstream forcing was used: Garonne River Basin, downstream; and Rhone River Basin, downstream.  The bug had no influence on: Loire River Basin, downstream, and Seine River Basin, downstream; or on any of the other simulations.   This should not affect the conclusions of David et al. (2011) since only a few locations were impacted. 

 

Funding

This work was partially supported by the French Mines Paristech, by the French Agence Nationale de la Recherche under the Vulnérabilité de la nappe du Rhin (VulNaR) project, by the French Programme Interdisciplinaire de Recherche sur l’Environnement de la Seine (PIREN-Seine) project, by the U.S. National Aeronautics and Space Administration under the Interdisciplinary Science Project NNX07AL79G, by the U.S. National Science Foundation under project EAR-0413265: CUAHSI Hydrologic Information Systems, and by the American Geophysical Union under a Horton (Hydrology) Research Grant.

Files

forcingtot_id_1995_1996_full.csv

Files (23.6 GB)

Name Size Download all
md5:427bd29f8642bf70bd2f02a765acaf50
3.3 kB Preview Download
md5:87654ec917fa849a157b86f1c3834c39
27 Bytes Preview Download
md5:16d732615a002b02a11fc578b66d16a4
24 Bytes Preview Download
md5:c8840eae89381202eae08564c9ff52b6
7 Bytes Preview Download
md5:0c73874510cbe7079c7b20f0f78f6032
18 Bytes Preview Download
md5:7d808c96def82646f9fdfcaddc5cbcfc
14 Bytes Preview Download
md5:427bd29f8642bf70bd2f02a765acaf50
3.3 kB Preview Download
md5:2ac5e746206be147d5082714d90a9093
1.9 kB Preview Download
md5:e9f79607282a173e7441b7f1b7f9d0ad
3.2 kB Preview Download
md5:5b2dcc102aa03056212b977d09c465c4
145.6 kB Preview Download
md5:c2c8994c585dd9ac306be3807df3a591
412.5 kB Preview Download
md5:8203588b098239a9d8988dfc37a77824
412.5 kB Preview Download
md5:a038940cb6623838225eb955a46ac91c
412.5 kB Preview Download
md5:30112058ba052ee8890d45492dfee55f
412.5 kB Preview Download
md5:06aaea2cd6aae569ccc859b7debb9476
412.5 kB Preview Download
md5:9025ef49973f7a7e3d0f79f0690aff18
412.5 kB Preview Download
md5:153b685c2fb90deb4303da952884c04f
412.5 kB Preview Download
md5:98d59e2b32dccc54633b9a2e803fbe5a
145.6 kB Preview Download
md5:4d564c9408a26a0ea415aaabcf3d28c0
181.5 kB Preview Download
md5:5103032eb158003728850ac5cb0323d0
2.8 GB Download
md5:285a55c18d9f41ec722f39430479f81c
1.3 MB Preview Download
md5:f07f573f21fe202c0ddd92bf805a8d48
974.4 kB Preview Download
md5:12a9f96c5046e5c22d789c8609b92609
412.5 kB Preview Download
md5:285a55c18d9f41ec722f39430479f81c
1.3 MB Preview Download
md5:d37ec21a41afb286a2620254364b79fb
768.1 kB Preview Download
md5:1a8868c388bfad5963c6b08ee5347a2b
568.0 kB Preview Download
md5:d28e46c62a71869ac685bfa7e50bf4eb
12.8 MB Preview Download
md5:5bc79e6a69b58b2aa09ee757b94dd429
3.5 kB Preview Download
md5:4b4249ef65b871797131d9044e19b610
2.8 GB Download
md5:3372c9ed91f542ce314abc52200d20a4
2.8 GB Download
md5:3ca5f355fe32619f847ad902d0ed5bf2
2.8 GB Download
md5:f8d23b1e39e46289a504bef86fa1d404
2.8 GB Download
md5:3ac577acb371e43cabd31753d68d0001
2.8 GB Download
md5:3bed61e3f5c50f444c73dac79f780034
2.8 GB Download
md5:eef6fe4e7c22b1f09a0cfb1f4d48eb96
2.8 GB Download
md5:fad54cdaf40fefcb2b01e2daebab3da5
284.3 MB Download
md5:75d89fb7dd6ff58ea91740d4cc2db2e1
284.3 MB Download
md5:ea74365bf2b22b1356b58867efb36d2a
284.3 MB Download
md5:20e800ad8ca2dc4ecef43c9c7e12b494
2.4 MB Preview Download
md5:35e748635f8053067b2f837136abc960
4.7 kB Preview Download
md5:6bb027e184bdb9037349ac14aca13f4c
2.7 kB Preview Download
md5:b49d65990595455738521dd2b6d94687
462 Bytes Preview Download
md5:bd966cd998114f6ea00bd865044f4ff0
3.0 kB Preview Download
md5:703a4667e53292f8abe6190309def3b8
158.7 kB Preview Download
md5:b79476100c108d831c23691ebc8932ba
20.5 kB Preview Download
md5:b8d2995d2c39677c10515d159bc898e1
8.6 kB Preview Download
md5:d846f1db831cebee6f22b6831ae08f1f
3.9 kB Preview Download
md5:a39e3f41fe2ae44a431030a041325244
707 Bytes Preview Download
md5:08233768e832c2e1e2c0c451f6585443
4.0 kB Preview Download
md5:39a61ff56d9237ac15121bc0b03f3c44
24.8 kB Preview Download
md5:28b81943bce2be45f0e820dc364436b3
3.2 kB Preview Download
md5:cd09fb3276e7daa96d04b2e3cb016c09
10.6 kB Preview Download
md5:041e2fabd4c0c5f1252da55a00be61dd
2.6 kB Preview Download
md5:ac909ae0883e339f5c27820971fb1807
5.0 kB Preview Download
md5:930545852134a902d58042b22155fb22
6.2 kB Preview Download
md5:78075b8f452ee4a9c18c5b918d6fb04c
24.0 kB Preview Download
md5:f16972875f740960776980558c80222b
14.3 kB Preview Download
md5:7173fc86805e88fcfad1481aa4c5ae5c
2.0 kB Preview Download
md5:802bd096e12021e46db1148a4ac6ecf6
7.3 kB Preview Download
md5:d5aea40de282cc1ec466f4c4a9ca0961
35.8 kB Preview Download
md5:65b9a476c2a7c3bd390a80b74ab470cb
20.4 kB Preview Download
md5:974d3d7c4ad9f16b0e24bc7ea3150a51
9.1 kB Preview Download
md5:58d6ef3d30df74e4279f8a58b2910dd2
2.5 kB Preview Download
md5:20f429580142d23072f1c55e36c9a1db
4.2 kB Preview Download
md5:fe50dd33fb0cac0a768c060a970ee2c2
121.3 kB Preview Download
md5:a1f1cc166857712e729c0a6dcd9d5450
412.5 kB Preview Download
md5:7f7aee218676eb4ec3b42d33f7933416
412.5 kB Preview Download
md5:56df6b3ed4ee5e97183fb6f13ca7d880
412.5 kB Preview Download
md5:89c932cec96128e233f668a5b08bd8ba
412.5 kB Preview Download
md5:2a7b5746ff6148d3e718708b11473736
412.5 kB Preview Download
md5:b83df8bd371d2da15b6d1d7c8e7518e5
412.5 kB Preview Download
md5:3565e6f3fb666be6bc80615c8238018e
412.5 kB Preview Download

Additional details

Related works

Cites
10.1175/2011JHM1345.1 (DOI)
Is supplement to
10.1002/hyp.8070 (DOI)