Blog
Data-driven articles on climate risk, geospatial analytics, and data science.
IFRS S2 is a data lineage problem, not a sustainability problem.
IFRS S2 quietly became the hardest data engineering problem in finance. Listed firms now have to report Scope 1-3 emissions, physical risk exposure, and transition scenarios — auditable, comparable, restated each year. Most teams are sourcing this data from spreadsheets and PDFs that will not survive an audit trail.
Secondary perils are eating reinsurance — and parametric is winning the high-frequency layer.
Insured nat-cat losses have crossed $100B for five straight years. The headline number is one story. The composition shift underneath — secondary perils now driving the volatility — is the more interesting one. Here is what that means for the next reinsurance cycle.
Sentinel-1C is back: the Copernicus SAR gap and what it means for flood model calibration.
Sentinel-1C launched in December 2024 and restored Copernicus' SAR continuity after Sentinel-1B's 2021 failure. For flood modelers, three years of degraded coverage left a real gap in the calibration record. Here is what that means in practice.
Climate Risk Dashboards Are Broken: Here's What Actually Works
Most climate risk dashboards look impressive but fail when decisions matter. A senior data scientist breaks down the three architectural mistakes killing dashboard usefulness and what to build instead.
CSRD climate risk disclosure 2026: what data teams actually need to deliver.
The regulatory landscape for climate risk reporting just got more complex. Here is what data science and engineering teams need to build, source, and automate to meet CSRD disclosure requirements in 2026.
ERA5 Is Reshaping Climate Risk: Insurance Finally Has the Data It Deserves.
How reanalysis climate datasets like ERA5 are transforming insurance underwriting, catastrophe modeling, and climate risk products with 80+ years of consistent global weather data.
Parametric Insurance Is Winning: Why Loss Adjusters Can't Keep Up with Climate.
Traditional insurance sends adjusters after the storm. Parametric insurance sends payments. As climate volatility accelerates, the data pipeline behind the payout is becoming the product itself.
Satellite flood data just went real-time: what insurers need to know now.
Munich Re and ICEYE are proving that SAR satellite data can replace outdated flood models. Here is how the shift from forecast-based to observation-based risk intelligence reshapes pricing, claims, and portfolio strategy for insurers.