Quantify the physical impact of extreme weather and climate change on any company's assets. Ten hazards - from floods and landslides to hail, heat and drought - assessed under current conditions and forward-looking climate scenarios, and returned as financial metrics you can act on.
Available on custom batch enrichment and via API.
Physical climate risk models developed in partnership with
Ten hazards, each modelled separately and scored 1 to 5 on every single site, then aggregated into a single climate risk score for the company.
Probability of occurrence, with damage curves calibrated on asset type.
Annual days of intense rainfall and the resulting surface water flooding.
Slope instability and landslide hazard indicators on the exact site footprint.
Seismic zone and expected ground shaking, weighted on building vulnerability.
Wind gust analysis and the structural damage it can cause to assets.
Annual days of severe hail, modelled at convection-permitting resolution.
Probability of occurrence along exposed coastlines and inundation depth.
Probability of occurrence and proximity to active volcanic systems.
Duration and frequency of heat waves, and the resulting productivity and asset stress.
Water deficit and severe drought, and their impact on operations and supply.
Every hazard is resolved at the finest granularity its underlying model supports, and always returned on the same 1 to 5 scale.
Down to the single building
Sites are geolocated at the GPS coordinates of the building, or at the street number where coordinates are not available. Flood and landslide are scored at exactly that point, not at the postcode or the municipality.
Census micro-cell
Pluvial flood, earthquake, strong wind and hail are scored on the census micro-cell containing the site.
Province
Tsunami, volcanic eruption, heat stress and water stress are scored at provincial level, the resolution at which these models are reliable.
Company
All the sites a company owns or leases are aggregated into one synthetic climate risk score for the legal entity.
| Score | Rating | What it means |
|---|---|---|
| 1 | VERY LOW | Negligible exposure. No material impact expected on the site. |
| 2 | LOW | Limited exposure. Occasional minor damage is possible. |
| 3 | MEDIUM | Meaningful exposure. Damage and business interruption are plausible and worth mitigating. |
| 4 | HIGH | Frequent or severe events expected. Significant damage and downtime are likely. |
| 5 | VERY HIGH | Critical exposure. Recurring severe impact: mitigation, insurance or relocation should be assessed. |
The same 1 to 5 scale is used for each single hazard, for the physical risk of each site and for the synthetic score of the company.
From global climate models down to the single asset.
Data extracted from dynamic, downscaled global and regional climate models, combined with global and local datasets.
Asset geolocation: every site a company owns or leases is placed on the hazard map at the highest resolution available.
Engineering-based exposure and vulnerability methods estimate likely damage and asset failure probability.
Probabilistic algorithms produce risk metrics that are ready for decision-making, not just maps.
Forward-looking scenarios: risk is projected under current climate and future warming pathways.
Delivered on the Ecomate platform, in the ESG report, or through the Ecomate API.
Climate and hazard data is sourced from public, institutional and peer-reviewed datasets.
Mate S.r.l. is the first Italian university spin-off dedicated to physical climate risk, born out of the University School for Advanced Studies IUSS in Pavia and supervised by Mario Martina, the Rector of IUSS - Scuola Universitaria Superiore Pavia. The team is made by physicists and climate engineers only with 20+ years of experience, Mate extracts data from dynamic downscaled climate models and combines it with local datasets, using probabilistic algorithms and engineering-based methods to evaluate the exposure and vulnerability of assets. Their models are published in peer-reviewed scientific papers, and their team has worked on international projects funded by the EU, the World Bank and the United Nations.
More on the physical climate risk models: mate-group.it
The same underlying models are available at three levels of depth, depending on whether you need the raw hazard data, the analysis on top of it, or a model wired into your own operational decisions.
Informative data
Global and local climate data made accessible and usable at the highest resolution. Hazard variables and sustainability indices at European scale, constantly updated.
Data analytics
High-level insight on extreme weather and climate risk for a single company or a group of companies, expressed in simple financial metrics.
Modelling
Models built for the operational management of physical climate risk inside your own business processes.
The physical climate risk models behind the score are published in peer-reviewed scientific literature.
Climate Risk Score - Methodology
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