Notebook: Identifying Climate Information Readiness

[bjyberg]

About

Reliable Climate Information Services (CIS) depend on a continuous chain of functions: observation, data agreement, and prediction. Each stage builds on the one before, if one part of the chain is weak, the reliability of all downstream information declines. This notebook helps users identify where climate information is reliable enough to inform agricultural decisions and where weak data infrastructure could limit impact.

Notebook Questions

• Where is climate measurement strong?
• Where is climate information most consistent?
• Where can we predict the climate reliably?
• Where does CIS readiness intersect with climate risk?
• Where can CIS reach users at scale?

Suggested Data and Data Requirements

• Weather Station Density (Atlas)
• Cloud cover
• Climate Dataset Agreement (Atlas)
• Climate Forecast Skill (IRI RPSS)
• Poverty (Meta Relative Wealth, GRDI, or GSAP)
• Climate hazard data (Atlas)

Expected Outputs

• Two side-by-side choropleth maps (Stations and Cloud Cover)
• Scatter or heatmap – Forecast Agreement vs Station Density
• Grouped Bar Chart – Forecast Skill by Country (short term and long term skill)
• Bivariate choropleth (readiness × hazard)