PDAF is a unified framework for data assimilation with the aim to reduce development effort for data assimilation while providing high computational efficiency. PDAF can be used. to perform data ...

This paper presents a localised data assimilation framework for forecasting the evolution of marine oil spills. The framework consists of an advection-diffusion model together with data assimilation ...

Their limitation lies in the absence of a data assimilation system to incorporate real-time Earth system observations, crucial for accurately forecasting events like tropical cyclones. To overcome ...

We propose improvements to the Dynamic Likelihood Filter (DLF), a Bayesian data assimilation filtering approach, specifically tailored to wave problems. The DLF approach was developed to address the ...

Data assimilation has emerged as an indispensable tool in oceanographic modelling, enabling the integration of observational data with numerical simulations to produce more accurate real-time ...

Parallel Data Assimilation Framework. Contribute to lstrebel/pdaf development by creating an account on GitHub.