Location-level hazard scores for ten meteorological perils, plus flood, landslide, earthquake and wildfire layers: 3 km to 1 km in Türkiye, the UK, Germany and N. Cyprus, and screening coverage across 182 countries.
3 km to 1 km meteorological grid; topographic flood score at 25 m
Methodology
We combine global climate model output, regional dynamic downscaling and hazard-specific layers to deliver location-level scores by REST/JSON API or as GeoTIFF rasters.
Global climate model output and reanalysis are processed at native resolution for the SSP2-4.5 and SSP5-8.5 scenarios, with future climate metrics at 2030, 2050 and 2100.
Dynamic regional downscaling brings the meteorological perils to 3 km, refined to 1 km in the high-resolution tiers (Türkiye, UK, Germany, N. Cyprus); the topographic flood score is resolved at 25 m from terrain, flow paths and land use.
Coordinate queries for points and batches of up to 100,000 locations return standardised JSON with per-peril scores and the model and data version in every response; GeoTIFF rasters load straight into your own GIS.
Coverage
Meteorological hazard scores cover ten perils, each scored 1–100 and country-relative within the modelled geography. Where the coverage tier allows, additional layers add topographic flood, landslide, earthquake, wildfire and flood-depth loss detail on the same spatial reference.
A 1–100 score is a country-relative hazard index within the modelled geography. It is not a loss ratio and not a probability of loss. Every layer is delivered by API or as GeoTIFF rasters.
Why UrClimate Score
Coverage tiers from 3 km to 1 km, additional layers down to 25 m, and one data foundation per tier.
Meteorological perils are scored at 3 km refined to 1 km in the high-resolution tiers; the topographic flood score resolves terrain, flow paths and land use at 25 m, and flood depth with annual average loss at 30 m in Türkiye. This matters for underwriting, loan-level modelling and asset due diligence where coarse proxies obscure real exposure.
Future climate metrics are available for SSP2-4.5 and SSP5-8.5 at 2030, 2050 and 2100 in every tier: the scenario spread analysts need for forward-looking disclosure and climate stress testing.
REST/JSON API for point and batch queries of up to 100,000 locations, compatible with core systems such as Guidewire and TIA, with per-client keys, static-IP allow-listing, a call-level audit trail and the model and data version in every response. GeoTIFF rasters go straight into your GIS; policy and claims data stay on your side.
Backed by ITU (Istanbul Technical University) academics. The lightning method was published at EGU 2020, and the flood score was checked against 45 real flood events in Türkiye with no false negatives. Proofs of concept run on anonymised locations; data sharing is not required.
Trusted By
UrClimate Score is actively used in underwriting, actuarial modelling, and risk engineering workflows at major insurance groups across Turkey and beyond.
Production Clients
Full Turkey coverage. Used daily by underwriters, actuaries, and risk engineers for location-based 1–100 scoring, regional heatmaps, and temporal trend reports.
Proof-of-Concept Partners
Interactive heatmaps at country, province, and district level. Temporal change reports showing how hazard exposure has shifted over time for any region.
Coordinate-level 1–100 composite score per hazard, delivered via API in real time. Instant integration into pricing models at the point of policy acceptance.
Location-specific hazard scores enriched with SSP2 and SSP5 projections for 2030, 2050, and 2100. Supports forward-looking loss modelling and Solvency II climate stress tests.
Client names shared with permission. Additional reference clients available on request under NDA.
Coverage Tiers
UrClimate Score delivers location-level hazard layers in four coverage tiers. One data foundation per tier, so every layer in a portfolio is computed on the same spatial reference. A new country model takes 1 to 4 months.
36 European markets: NO · SE · DK · FI · IE · EE · LT · LV · PL · CZ · SK · BY · HU · RO · BG · MD · UA · CH · AT · SI · FR · BE · NL · LU · PT · IT · ES · GR · HR · MT · AL · ME · MK · RS · BA · XK
Use Cases
Designed for risk professionals who need asset-level precision, not portfolio-level approximations.
Price individual risks accurately, tighten underwriting appetites, and quantify portfolio-level CAT exposure under future climate scenarios.
Embed climate risk into credit underwriting, assess mortgage portfolio exposure, and produce TCFD-aligned transition and physical risk disclosures.
Score real estate, infrastructure, and renewable energy portfolios for physical risk. Support ESG reporting and climate due diligence for acquisitions.
Request a demo, run a sample query on your own assets, or discuss integration with our team. We typically respond within 24 hours.