pastas

What problem does it solve?

Pastas provides a structured framework for groundwater time-series analysis using transfer-function noise models to quantify how aquifers respond to external stresses, enabling fast hypothesis testing and model-based forecasting.

Core Features & Use Cases

• Recharge modeling from precipitation and evaporation with configurable response functions
• Stress modeling for pumping and river influences
• Model calibration, diagnostics, and forecasting with step/impulse responses and contributions

Quick Start

Create a Pastas model from head, precipitation, and evaporation time series, run calibration, and inspect diagnostics.