Natural runoff simulation data products of 2.94 million river sections in the world, unit: m3/s. This data is based on the simulation of VIC hydrological process model and RAPID vector river network concentration model. The spatial resolution of the land surface hydrological process model is 0.25 °, and the river network data in the vector concentration model is extracted based on the 90-m MERIT Hydro hydrological correction terrain data product. The runoff generation part is calibrated based on the runoff characteristic values obtained by machine learning, and the grid scale runoff generation deviation correction is carried out based on the multi quantile runoff characteristic values. The data products are verified by 14000 runoff observation stations around the world, and have better verification accuracy.

File naming and required software

GRADES_Q_v01_pfaf_xx_19790101_200131231.nc
pfaf 01 - Africa; pfaf 02 - Europe; pfaf 03 - North Asia, pfaf 04 - South Asia; pfaf 05 - Oceania; pfaf 06 - South America; pfaf 07 - North America; pfaf 08 - Arctic

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Cite as:

Lin, P., Pan, M., Yang, Y. (2022). Global Reconstruction of Naturalized River Discharge at 2.94 Million River Reaches (GRADES). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272898. CSTR: 18406.11.Terre.tpdc.272898. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Lin, P., Pan, M., Beck, H.E., Yang, Y., Yamazaki, D., Frasson, R., David, C.H., Durand, M., Pavelsky, T., Allen, G., Gleason, C., & Wood, E.F. (2019). Global reconstruction of naturalized river flows at 2.94 million reaches. Water Resources Research, 55 (8), 6499-6516.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

References literature

1.Yang, Y., Pan, M., Lin, P.R., Beck, H.E., Zeng, Z.Z., Yamazaki, D., David, C.H., Lu, H., Yang, K., Hong, Y., & Wood, E.F. (2021). Global Reach-level 3-hourly river flood reanalysis (1980-2019). Bulletin of the American Meteorological Society, 102(11), E2086-E2105. https://doi.org/10.1175/BAMS-D-20-0057.1. (View Details )

Copyright & License

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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)