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Companion data for RAT 3.0: Global Database, Test data, Parameter files and Routing Script

Authors: Minocha, Sanchit; Hossain, Faisal; Das, Pritam;

Companion data for RAT 3.0: Global Database, Test data, Parameter files and Routing Script

Abstract

{"references": ["Becker, J. J., Sandwell, D. T., Smith, W. H. F., Braud, J., Binder, B., Depner, J. L., Fabre, D., Factor, J., Ingalls, S., and Kim, S. H. (2009). Global bathymetry and elevation data at 30 arc seconds resolution: SRTM30_PLUS. Marine Geodesy, 32(4), 355\u2013371.", "GRDC. (2020). Major river basins of the World/Global Runoff Data Centre (GRDC). Federal Institute of Hydrology (BfG) Koblenz, Germany.", "Lehner, B., Liermann, C. R., Revenga, C., V\u00f6r\u00f6smarty, C., Fekete, B., Crouzet, P., D\u00f6ll, P., Endejan, M., Frenken, K., and Magome, J. (2011). High\u2010resolution mapping of the world's reservoirs and dams for sustainable river\u2010flow management. Frontiers in Ecology and the Environment, 9(9), 494\u2013502.", "Lohmann, D., R. Nolte-Holube, and E. Raschke, 1996: A large-scale horizontal routing model to be coupled to land surface parametrization schemes, Tellus, 48(A), 708-721.", "Nijssen, B.N., D.P. Lettenmaier, X. Liang, S.W. Wetzel, and E.F. Wood, 1997: Streamflow simulation for continental-scale river basins, Water Resour. Res., 33(4), 711-724.", "Schaperow, J. R., Li, D., Margulis, S. A., and Lettenmaier, D. P. (2021). A near-global, high-resolution land surface parameter dataset for the variable infiltration capacity model. Scientific Data, 8(1). https://doi.org/10.1038/s41597-021-00999-4", "Wu, H., Kimball, J. S., Li, H., Huang, M., Leung, L. R., and Adler, R. F. (2012). A new global river network database for macroscale hydrologic modeling. Water Resources Research, 48(9).", "Wu, H., Kimball, J. S., Mantua, N., and Stanford, J. (2011). Automated upscaling of river networks for macroscale hydrological modeling. Water Resources Research, 47(3).", "Pavlis, N. K., Holmes, S. A., Kenyon, S. C., and Factor, J. K. (2012). The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). Journal of Geophysical Research: Solid Earth, 117(B4)."]}

Reservoir Assessment Tool version 3.0 is a scalable and user-friendly software platform to mobilize the global water management community. RAT uses satellite remote sensing data to monitor water surface area and water level changes in artificial reservoirs. It uses this information, along with topographical information (either derived from satellite data, or in-situ topo maps) to estimate the Storage Change (∆S) in the reservoirs. Additionally, RAT models the Inflow (I) and the Evaporation (E) of each reservoir. Finally, RAT uses the modeled I, and E, and estimated ∆S, to estimate the Outflow (O) from reservoirs. The datasets and files provided here are used by RAT 3.0 as default inputs to make it easy to set up and execute RAT for first-time users. global_data.zip - It includes Global Database encompassing global elevation data, global reservoir and dam data, major river basins in the world and the river networks, flow direction file, and geoid model. It is used by RAT 3.0 as default input for easy execution for first-time users. global_vic_params.zip - It contains global VIC soil and domain parameters for executing the hydrological model within RAT 3.0. It is considered a part of the Global Database but is packaged separately. params.zip - It consists of all the default parameter files used by RAT 3.0 to execute the hydrological model within it and to execute RAT itself. routing.zip - It consists of the Fortran code for the Routing model for easy installation for users. test_data.zip - It consists of data used by RAT 3.0 to test whether it has been installed and initialized properly in a user's system.

Related Organizations
Keywords

Dam Monitoring, RAT Global Database, RAT 3.0, Reservoir Management

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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