Toward a Better Understanding of Curve Number and Initial Abstraction Values from a Global Watershed Dataset Perspective

The code within this repository is founded on the analysis of the Natural Resources Conservation Service Curve Number (NRCS-CN) method and its parameters. The analyses make use of the [CARAVAN dataset and your extensios] (https://zenodo.org/records/6578598). The separation of streamflow into baseflow and runoff is based on the methodology established by Xie et al. (2020) (https://doi.org/10.1016/j.jhydrol.2020.124628). Contained within this repository are 5 Jupyter Notebooks, each focused on the application of the NRCS-CN method using distinct data analysis approaches: Principal Components Analysis Random Forest NRCS-NEH NRCS-ASYMPTOTIC (Natural) NRCS-LEAST-SQUARES Additionally, the results of the metrics from applying these methods can be found in the files Metrics_runoff_G1 and Metrics_runoff_G2. The folder Times_series contains the time series of simulated runoff using the NRCS methods.