Global coverage, multiple scenarios

Emmi’s Climate Hazard Diagnostics delivers advanced wildfire risk insights, leveraging the latest CMIP6-based Fire Weather Index (FWI) projections and satellite-calibrated models. Our wildfire data provides high-resolution, location-specific projections of how fire danger is expected to evolve under multiple climate scenarios and time horizons. By integrating key climate drivers—such as temperature, humidity, wind, and precipitation—with land cover and topography, our diagnostics capture both the severity and frequency of extreme fire weather conditions.

Anticipate where and when wildfire risk is likely to escalate, as part of a proactive risk management and strategic planning process. With Emmi’s wildfire diagnostics, you gain a transparent, science-based foundation for understanding and comparing wildfire risk across assets, regions, and future climate pathways.

Emmi’s Climate Hazard Diagnostics provides advanced tropical cyclone risk analysis using the STORM synthetic event framework, which is rigorously validated against global cyclone records. Our data delivers high-resolution projections of cyclone intensity and frequency, allowing you to pinpoint where wind and storm surge threats are expected to intensify under different climate scenarios.

This enables asset managers and investors to integrate cyclone risk into portfolio screening, scenario analysis, and regulatory disclosures with confidence and clarity.

Emmi’s fluvial flooding diagnostics leverage the WRI Aqueduct model to provide detailed, location-specific projections of river flood risk. Our data reflects changes in rainfall patterns, river discharge, and climate-driven hydrology, offering insights into how flood hazards may evolve across multiple scenarios and future time horizons.

We provide higher spatial resolution, necessary for floods analysis, while maintaining the standardised metrics that allow comparison across hazards, locations, scenarios, and time horizons.

Emmi’s coastal flooding diagnostics are built on the Global Tide and Surge Reanalysis (GTSR) and WRI Aqueduct models, providing high-resolution projections of coastal flood risk driven by sea-level rise and storm surges. Our data isolates the climate-driven component of coastal flooding, enabling clear scenario-based comparisons for long-term planning.

Again, we provide higher spatial resolution, necessary for floods analysis, while maintaining the standardised metrics that allow comparison across hazards, locations, scenarios, and time horizons.