Wencong Yang, PhD

AI

Decoding the Hack behind Accurate Weather Forecasting: Variational Data Assimilation

Learn how to implement the variational data assimilation, with mathematical details and PyTorch for efficient implementation Wencong Yang, PhD · Follow Published in Towards Data Science · 11 min read · 15 hours ago — Source: https://unsplash.com/ 1. Quick Start: Why Data Assimilation Weather forecasting models are chaotic dynamical systems, where forecasts become unstable due to small perturbations in model states, making blind trust on the forecasts risky. While current forecasting services, such as the

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AI

Addressing the Butterfly Effect: Data Assimilation Using Ensemble Kalman Filter

Learn how to implement the Ensemble Kalman Filter for data assimilation, with mathematical details step-by-step code Wencong Yang, PhD · Follow Published in Towards Data Science · 9 min read · 14 hours ago — Source: https://unsplash.com/ 1. Quick Start: Why Data Assimilation Many real-world dynamical systems are chaotic, where small changes in initial conditions lead to significant differences in later states. This phenomenon, also known as the butterfly effect, makes it challenging for programmed

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