GR4J rainfall runoff model implemented in Python

Hydrological Model Assessment and Development

An implementation of the rainfall-runoff model SMART in Python

Python implementation of the GR2M monthly rainfall runoff model

ggRunoff: Visualisation of rainfall-runoff process lines using ggplot2 syntax. 利用ggplot2语法绘制洪水过程线

A C++ accelerator extension of the rainfall-runoff SMART for Python

A generic Netlogo Agent Based Model to simulate rainfall runoff and erosion in a watershed

Completed for the "Laboratory of Computational Physics Mod. B" under the supervision of Professor Carlo Albert. The project utilizes Keras in TensorFlow for implementation.

Hydrological modeling toolkit for Python: rainfall-runoff transformation, unit hydrographs, and watershed analysis.

Flood Frequency Distribution (FFD) is free software to analyze flood and estimate Quantile for Different return Periods and Flood frequency relations

GR4J Rainfall-Runoff Model with Automatic Calibration; using Deterministic Methods

GR4J Rainfall Runoff Implemented in Fortran 90 with SCE-UA Optimisation

End-to-end streamflow forecasting pipeline: real USGS + ERA5 data, Numba-JIT 5-parameter model, Differential-Evolution calibration, split-sample validation, Regional Sensitivity Analysis, GLUE uncertainty, and climate-change scenarios for the Russian River, California.