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Groundwater level (GWL) time series modelling is essential for understanding and managing water resources. In this webinar, our expert presenters, who are also the primary developers of Pastas, will introduce key concepts and methodologies for analysing GWL time series data.

We will explore Pastas, an open-source software designed specifically for groundwater time series modelling. The presenters will guide you through the process of using impulse response functions, a powerful approach for simulating and predicting groundwater fluctuations. By demonstrating step-by-step workflows, you'll gain hands-on knowledge to improve your modelling efficiency and accuracy.

To illustrate the real-world impact of these techniques, we will showcase case study examples from various applications that will highlight how Pastas and impulse response functions can support decision-making in water management.

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