RAPID Model Input Files for Mekong-Indus-Ganges-Brahmaputra-Megna (MIGBM) River Basins

This database contains Inputs and intermediate files of the RAPID model pre-processor (RRR), and also outputs from the RRR (i.e., Inputs for RAPID); which were used by Sikder et al. [2019] to assess the performance of available global LSM runoffs in South and Southeast Asian river basins. If you use this RAPID Model Input Files for Mekong-Indus-Ganges-Brahmaputra-Megna (MIGBM) River Basins in your work, please cite: Sikder et al., [2019], Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Front. Environ. Sci., 7:171, https://doi.org/10.3389/fenvs.2019.00171.

The database contains;

Global River basin and Network Shapefiles: HydroSHEDS.tar.gz

Extracted Basin Shapefile:                            MIGBM_basin.tar.gz

Extracted River Network Shapefiles:             MIGBM_res_ntwk.tar.gz    (Note: res = fine or coarse)

Catchment Files:             rapid_catchment_as_riv_res.csv                     (Note: res = fine or coarse)

Connectivity Files:           rapid_connect_res_MIGBM.csv                       (Note: res = fine or coarse)

Coordinate Files:             coords_res_MIGBM.csv                                   (Note: res = fine or coarse)

Base Parameter Files:     pfac_res_MIGBM_1km_hour.csv                     (Note: p = k or x; res = fine or coarse)

Sort Files:                         sort_res_MIGBM_topo.csv                              (Note: res = fine or coarse)

Sorted Basin Files:           riv_bas_id_res_MIGBM_topo.csv                    (Note: res = fine or coarse)

Coupling Files:                 rapid_coupling.tar.gz

Parameter Files:              rapid_param.tar.gz

Volume Files:                   m3_riv_res_MIGBM_20000101_20091231_prj_LSMsr_tr_utc.nc          (Note: res = fine or coarse; prj = GLDAS or GLDAS.2.0 or GLDAS.2.1 or ECMWF; LSM = CLM, MOS, NOAH, VIC, ERAint; sr = 10 or 025; tr = 3H or D)

Other necessary links associated with this database:

RAPID model: https://github.com/c-h-david/rapid

RAPID model pre-processor (rrr): https://github.com/c-h-david/rrr

GLDAS outputs: https://disc.gsfc.nasa.gov/datasets?keywords=GLDAS

ECMWF outputs: https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim-land

References:

Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H., et al. [2015], ERA-Interim/Land: a global land surface reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389–407, https://doi.org/10.5194/hess-19-389-2015

David, C. H., D. R. Maidment, G. Y. Niu, Z. L. Yang, F. Habets, and V. Eijkhout [2011], River network routing on the NHDPlus dataset, J. Hydrometeorol., 12, 913–934, https://doi.org/10.1175/2011JHM1345.1

Rodell, M., P. R. Houser, U. Jambor, J. Gottschalck, K. Mitchell, C.-J. Meng, et al. [2004], The global land data assimilation system, Bull. Am. Meteorol. Soc. 85, 381–394, https://doi.org/10.1175/BAMS-85-3-381

Sikder, M. S., C. H. David, G. H. Allen, X. Qiao, E. J. Nelson, and M. A. Matin [2019], Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia, Front. Environ. Sci., 7:171, https://doi.org/10.3389/fenvs.2019.00171