Remote Sensing–aided Donor Gauge Selection for Improved Simulated Streamflow in Ungauged Basins [Code]

This archive contains the Python code and supporting datasets used in the manuscript “Remote Sensing–aided Donor Gauge Selection for Improved Simulated Streamflow in Ungauged Basins.” The archive includes Jupyter notebooks for satellite-based water-extent extraction, hydrologic clustering using flow-duration curve representations, remote sensing–aided donor gauge or subbasin selection, and retrieval and bias correction of simulated streamflow from the RFS Model. The archive also provides a table of IDEAM in situ streamflow gauges with corresponding donor gauges (remote-sensing-based and watershed-attributes-based) and RFS river reach identifiers, supporting consistent integration of observational and simulated datasets. Some workflows are adapted from publicly available resources developed by the RFS modeling community, with appropriate acknowledgment provided. All materials are shared to promote transparency, reproducibility, and reuse in hydrologic and remote sensing–based streamflow studies.