Toward a better understanding of curve number and initial abstraction ratio values from a large-dataset of watersheds 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 
• 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.

Channel Log: 

 Version v2 - Version of the official paper release. No changes in the data but added a static copy of the accompanying code of the paper. 

Version 1.0 - In this version, the Asymptotic method was considered with natural data