2024_Nkwasa_et_al Scripts used in the analyis of Nkwasa et al 2024 (CoSWAT-WQ v1.0: a high-resolution community global SWATplus water quality model)

To Install Python scripts should be run on python3. The model source code releases are at (https://github.com/swat-model/swatplus/releases)

For users This repository includes the processing scripts used in Nkwasa et al, 2024. Python is used to extract data from global datasets and generate decision tables for agricultural HRUs in the SWAT+ model for large scale hydrological applications.

For the python code:
(a) 'extract_fertilizer.py' extracts the crop data from GCCMI data and creates fertilizer applications for the required simulation period using the ISIMIP N fertilizer files (Hurtt et al., 2020) and the P fertilizer files from (Zhang et al., 2017) (b) 'eval_TN_TP_daily.py' generates TN and TP evaulation of simulated model results and GEMstat observations including KGE, nRMSE, PBIAS, NSE, R-squared. (c) 'generate_annual_TN_TP_general_loads.py' extracts annual river TN and TP loads. (d) 'plot_all_TN_TP.py' plots all the TN and TP concetrations for observed and simulated river stations.

Versions Version 0.1.0 - November 2024