From NetCDF to Insights: A Practical Pipeline for City-Level Climate Risk Analysis

📰 Towards Data Science

Create a pipeline for city-level climate risk analysis using CMIP6 projections and ERA5 reanalysis

intermediate Published 28 Mar 2026

Action Steps

Integrate CMIP6 projections and ERA5 reanalysis into a workflow
Implement impact models to analyze climate risk
Use NetCDF files to store and manage climate data
Develop a lightweight and interpretable pipeline for city-level analysis

Who Needs to Know This

Data scientists and researchers on a team can benefit from this pipeline to analyze climate risk, while product managers can use the insights to inform decision-making

Key Insight

💡 Integrating multiple data sources into a lightweight pipeline can provide actionable insights for city-level climate risk analysis