Why Model Quality and Uncertainty Are Critical for Climate Risk Intelligence

As climate change accelerates, organisations need climate insights that are grounded in reliable science and transparent methods. At Climatig, we provide financial institutions, insurers, and infrastructure investors with climate-risk intelligence built on recognised climate models and high-resolution data.

1. Built on Trusted Science

Our platform uses multiple climate models under RCP 4.5 and RCP 8.5 scenarios, incorporating historical and satellite data to ensure projections reflect established climate-science approaches.

2. Meaningful Risk Interpretation

Instead of a single static indicator, Climatig provides structured risk metrics, including the CLIMATIG Score, that reflect hazard likelihood, exposure, and vulnerability across different time horizons.

3. Transparent & Auditable Documentation

Every result is backed by clear inputs and traceable data, supporting ESG reporting (including CSRD/ISSB), investor reviews, and internal audits.

4. High-Resolution and Data-Driven Methods

Our models use machine learning and high-computing methods combined with 10-meter spatial resolution, enabling detailed risk assessments for assets, portfolios, and regions.

5. Reliable Basis for Long-Term Decisions

By integrating historical data and established climate-model outputs, Climatig provides a solid foundation for stress testing, resilience planning, and disclosure requirements.

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