Location-based risk intelligence for underwriting
UrClimate Score provides standardized, location-based physical hazard scores that enable fast and consistent comparisons for underwriting and portfolio analytics. It supports quote and renewal workflows as well as portfolio screening.
Overview
Risk framing for underwriting, portfolio accumulation and hazard comparability.
Use Cases
Quote-time scoring, portfolio screening, risk engineering prioritization and reinsurance support.
Deliverables
Scores, maps, portfolio summaries and integration outputs (API/Excel).
Overview
Move from postal-code averages to asset-level (coordinate-level) comparability.
Key pain points:
- Need to capture micro-scale risk differentiation (location-level granularity)
- Manage portfolio accumulation and concentration risk
- Fast and consistent indicators for quote and renewal workflows
- Inputs for financial readability (e.g., damage ratio and expected loss style indicators)
What we provide (product + services):
- Location-based risk scores and hazard-specific indicators
- Portfolio screening and risk distribution summaries
- Integration-friendly outputs for underwriting workflows
- Where required: input structures to support AAL and damage-ratio style monetisation
Primary hazards (examples):
- Flooding
- Extreme rainfall
- Storm
- Hail
- Lightning
- Snow load
- Heatwave
- Drought
Outputs:
- API scoring (where used)
- Excel/CSV batch files
- Maps
- PDF reporting (where used)
Use Cases
- Quote-time scoring for underwriting decision support
- Portfolio screening: identify high-risk clusters and hotspots
- Risk engineering: prioritize sites for surveys and mitigation actions
- Renewals: update risk appetite thresholds and segmentation
- Reinsurance support: accumulation visibility and scenario-oriented review (where required)
Deliverables
- Location-based standardized risk scores and hazard indicators
- Portfolio distribution summaries (maps + tables)
- Excel/CSV outputs and API integration (where needed)
- Where required: AAL / damage-ratio style technical output set
From score to loss: risk selection, pricing and accumulation
For an insurer, physical climate risk shows up in three decisions. In risk selection (underwriting), a location-based hazard score supports the accept-and-terms decision at quote time. In pricing, average annual loss (AAL) is the climate component of the pure premium. In accumulation, the part of the portfolio that would be hit by the same event is measured with probable maximum loss (PML); reinsurance structuring and capital decisions rest on it. Two quantities must be kept apart: a hazard score on a 1-100 scale is a country-relative hazard index within the modelled geography; it is not a damage ratio and not a probability of loss. Scores compare and prioritize risks; AAL and PML price them and allocate capital. The metric definitions and the chain from hazard to financial impact are explained on our physical climate risk and financial impact page.
For Türkiye the hazard layers cover ten meteorological perils, each scored 1-100 (hail, lightning, storm wind, severe precipitation and flash flood, snow load, frost, cold air, fire weather, heatwave, drought), plus topographic flood, landslide, earthquake and wildfire layers; flood depth and average annual loss are produced for six return periods (5 to 250 years); earthquake average annual loss, probable maximum loss and net loss form a separately licensed premium layer. The flood score was checked against 45 real flood events located from public news reports; every event location scored between 62 and 94 out of 100, none below 60. Future climate metrics cover SSP2-4.5 and SSP5-8.5 for 2030, 2050 and 2100.
Regulatory framework: TSRS scope and reporting
Insurance, reinsurance and pension companies are among the categories listed in the Turkish Public Oversight Authority’s decision on TSRS scope; companies in these categories exceeding at least two of three size thresholds (total assets TRY 1 billion, annual net sales TRY 2 billion, 500 employees) in two consecutive reporting periods are in mandatory scope. TSRS 2, Türkiye’s adoption of IFRS S2, requires in paragraphs 15 to 21 the current and anticipated financial effects of climate-related risks to be disclosed with quantitative and qualitative information; reports are subject to limited assurance. The Türkiye Green Taxonomy Regulation does not oblige insurance and reinsurance companies to report taxonomy alignment until 1 January 2029. For the dates see the Türkiye climate regulation timeline; for the reporting process see TSRS climate reporting in Türkiye.
From quote to portfolio report: a typical workflow
- Quote time: send a latitude and longitude by API and receive all hazard scores and financial metrics in real time; up to 100,000 locations per batch by REST/JSON API.
- Portfolio screening: aggregated results for a province, district, region or a drawn area; maps of high-risk clusters and accumulation; GeoTIFF rasters for your own GIS.
- Financial layer: average annual loss and probable maximum loss for flood and earthquake; damage-state distribution; decision-ready PDF reports.
- Renewals and reinsurance: updated risk appetite thresholds, accumulation visibility and scenario-oriented review.
This workflow runs on UrClimate Score through the dashboard and the API, with coverage of 182 countries and the deepest dataset across Türkiye and the surrounding region.
Frequently asked questions
Is a score the same as average annual loss? No. A score is a country-relative hazard index; average annual loss is an expectation in currency, calculated once exposure and vulnerability are added.
What does a return period mean? It is a probability statement: a 100-year event has roughly a 1 percent chance of being exceeded in any given year. Probable maximum loss is read in that language.
How long does a new country model take? A new country model takes 1 to 4 months.