Physical climate risk, translated into financial consequence.

Alpha-Klima quantifies the damage, disruption and ongoing costs a changing climate imposes on physical assets, one site or a whole portfolio, and what it means for financial materiality and disclosure.

Free to enter with a Google account, including sample hazards and example analyses.

Riverine floodRCP 4.52030–2035

Exceedance Probability

400+ asset-specific vulnerability models for damage, disruption and ongoing costs

Vulnerability models

Hazard data is a commodity. What it does to your asset is not.

Assets exposed to the same flood do not lose the same amount of money. What separates them is the vulnerability model: what the asset is made of, what it does, and what stops when the water arrives.

Our models cover a large inventory of damage, disruption and OPEX functions mapped to occupancy and construction class, with a class-level fallback where an asset’s detail is thin. Damage to the structure is kept separate from loss of function, so business interruption or operational costs are not buried inside a repair estimate.

Portfolio aggregation

A portfolio tail is not the sum of its parts.

A portfolio’s tail is not the sum of its assets’ tails. One event can hit many locations at once, and different hazards can co-occur or compound each other.

We model asset losses as distributions, then aggregate them through hazard-specific spatial dependence and cross-hazard dependence. The result is a portfolio loss distribution that captures concentration and compounding, supporting Annual Average Loss, Value at Risk and Expected Shortfall at portfolio level.

A riverine flood cluster outlined across a valley, with modelled flood depth banded from 0 to 5 metres and assets marked inside it

7 acute & chronic hazards integrated into a spatially dependent portfolio risk model

  1. Reported result

    AAL · Value at Risk · Expected shortfall · PD · Adaptation ROI

  2. Aggregation

    Spatial dependence, cluster and portfolio level

  3. Impact

    A distribution, not a point estimate

  4. Vulnerability

    Function, asset class and the study behind it

  5. Hazard

    Dataset, model version, scenario, horizon

Per asset, per run

4 layers of traceability from source data to reported result

Auditability

Numbers that stand up to scrutiny.

A number that cannot be explained will not survive an auditor, supervisor or internal validation team. Every figure we report retains the data, model version, scenario, horizon, assumptions, vulnerability logic and aggregation methodology behind it.

That traceability makes the same analytical foundation usable across risk management, disclosure, assurance and regulatory workflows, from global frameworks to jurisdiction-specific requirements.

One analysis, many frameworks

  • IFRS S2
  • Basel Pillar 3
  • CSRD and ESRS E1
  • CRR/EBA Pillar 3
  • Solvency II/EIOPA ORSA
  • EU Taxonomy

Client work

What clients value in the work

Read the success stories ↗
Alpha-Klima's work gave us a physical climate risk view of our banking book that is proportional, methodologically defensible, and traceable down to individual exposures. We particularly valued the rigour of the geolocation approach and the clarity of the documentation supporting each output.
Julio Bello Chief Risk and Compliance Officer, Aresbank
A forward-looking, actionable assessment at the asset level is key to anticipating the impacts of climate change and effectively strengthening the resilience of our logistics portfolio.
Marta Esquivias Manager, ESG & Sustainability, Valfondo Investment Management

Ways to work with us

Use it yourself, call it from your stack, or work with our team on your portfolio

Next step

Open the platform,
or let us walk you through it