Three methods for allocating river points to coarse resolution grid cells: R codes, case study data and results

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The allocation of river points to pixels of a coarse hydrological modeling grid is a well-known issue, especially for hydrologists who are using gauging stations for the calibration/ validation of hydrological models (but not only that). To deal with this issue, the traditional way is to look at the neighbouring grid cells and to select the best candidate using distance and upstream drainage area as decision criteria. However, recent studies have encouraged to look at the basin boundaries rather than the basin areas, advocating that it would prevent many allocation mistakes. In this dataset we proposed three allocation methods representative of several current of thoughts: area-based methods, topology-based methods, and contour-based methods, and applied them for the allocation of 2580 river points to a 1km hydrological grid. These points are located all along the hydrographic network, from 5km2 of upstream drainage area. This dataset provides the input data, the R codes implementing each method, and the expected final results. More information about the data type and structure is provided in the readme file. The associated article significantly helps understanding the context.