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Analysis

This paper investigates different noise models to represent westerly wind bursts (WWBs) within a recharge oscillator model of ENSO. It highlights the limitations of the commonly used Gaussian noise and proposes Conditional Additive and Multiplicative (CAM) noise as a better alternative, particularly for capturing the sporadic nature of WWBs and the asymmetry between El Niño and La Niña events. The paper's significance lies in its potential to improve the accuracy of ENSO models by better representing the influence of WWBs on sea surface temperature (SST) dynamics.
Reference

CAM noise leads to an asymmetry between El Niño and La Niña events without the need for deterministic nonlinearities.

Analysis

This article discusses how to effectively collaborate with AI, specifically Claude Code, on long-term projects. It highlights the limitations of relying solely on AI for such projects and emphasizes the importance of human-defined project structure, using a combination of WBS (Work Breakdown Structure) and /auto-exec commands. The author shares their experience of initially believing AI could handle everything but realizing that human guidance is crucial for AI to stay on track and avoid getting lost or deviating from the project's goals over extended periods. The article suggests a practical approach to AI-assisted project management.
Reference

When you ask AI to "make something," single tasks go well. But for projects lasting weeks to months, the AI gets lost, stops, or loses direction. The combination of WBS + /auto-exec solves this problem.