AASB S2 / IFRS S2

Climate risk quantification built to survive assurance.

Australia’s first cohort of AASB S2 reporters described their climate risk - but most stopped short of a defensible dollar figure. Meridian produces one: physical and transition risk quantified in A$ across NGFS, IEA and IPCC scenarios, with every figure traceable and every adjustment recorded for assurance.

Start an analysisSee how it works
Scenario sets
3
Sourced coefficients
1,700+
Sector channels
60+

Transmission channel mapping

NGFS Phase V · Net Zero 2050 · 2035 horizon

Ready for assurance
w 0.42w 0.27w 0.18ScenarioNGFS NZ2050CO₂ A$215/t · 2035Carbon priceβ 0.42 · transitionChronic heatβ 0.27 · physicalDemand shiftβ 0.18 · transitionEBITDA impact−A$12.4m90% CI ±3.1
Sample quantified climate risk output by transmission channel
ChannelβΔNPV (A$m)Source
Carbon price pass-through0.42−12.4NGFS P5 §3.2
Chronic heat - labour0.27−6.8IPCC AR6 WGII Ch.11
Demand shift - transport0.18+4.1IEA WEO 2025 T.5.1

3 channels · 2 scenarios · signed off: J. Okafor

cached 2026-06-04 · valid 12 mo

Grounded in the standards and data your assurer already trusts

IPCCAR6NGFSPhase VIEAWEO 2025ACSAus Climate ServiceAASB S2IFRS S2

Process

Five steps from company to quantified climate risk.

The pipeline mirrors how a senior analyst works - with a mandatory human sign-off before the numbers are published.

  1. Company input

    Sector, geography and financial baseline captured once - cached and reusable for 12 months.

  2. Scenario selection

    Choose pathways and horizons across NGFS Phase V, IEA WEO 2025 and IPCC AR6 scenario sets.

  3. Transmission channel mapping

    Physical and transition drivers mapped to financial line items with weighted, sourced coefficients.

  4. Gate 1 preparer sign-off

    The company confirms its own inputs and explicitly owns any change it makes to Meridian's methodology - every adjustment carries a documented reason - before the numbers are published.

  5. Modelled best-estimate output

    A modelled expected-annual loss - and the upside opportunities - from bottom-up engines (asset-physics damage functions and transition DCFs), mapped to the financial line items each driver hits, with A$ ranges, modelled P05-P95 bands and full citations.

Platform

Built for the scrutiny your numbers will face.

Defensible dollars, not narrative

Physical and transition risk in one A$ figure.

Damage models for hazards, discounted cash-flow for carbon and demand, with a modelled range around every number rather than false precision. Bushfire is calibrated to verified realised losses; cyclone, flood and coastal are anchored to the published science until enough verified events allow the same. Cross-checked against peer disclosures - the number capital markets and ASIC are now asking for.

Physical + transition · A$ ranges · per scenario

Scientific traceability

Every coefficient cites its origin - IPCC AR6 chapter, NGFS Phase V variable, IEA WEO table, Australian Climate Service grid - down to the section. No unsourced numbers reach your disclosure.

IPCC AR6 · NGFS Phase V · IEA WEO 2025 · ACS

Built for assurance

Every number traces to its source and its version.

Each input, adjustment and sign-off is recorded in a trail that can't be edited after the fact, and every figure is locked to the exact data and model version behind it - so your assurer can re-check any number. The engine and methodology themselves are built for central, independent assurance: an ASAE 3402 service report (an independent auditor's report on how a service is run) that Meridian is putting in place for your assurer to rely on.

Re-checkable · version-locked · ASAE 3402 report forthcoming

Risks and opportunities, both quantified

Most first-year disclosures put a number on downside risk only, and many disclose no opportunities at all. Meridian quantifies the upside - resource efficiency, new markets, adaptation - alongside the risk, as AASB S2 requires.

Downside + upside, on the same basis

Australian-native by design

Australian Climate Service 5 km grids, at your sites.

Hazards read at your assets' locations - the exact site where you supply coordinates, the postcode area otherwise - with a modelled uncertainty range rather than a single point number, and bushfire damage checked against real Australian fire losses. The AASB S2 phase-in is keyed to your size, and materiality is screened to the standard. Not a global model bent to fit.

ACS grids · uncertainty ranges · calibrated bushfire

Cache-first efficiency

Reference data - scenarios, coefficients, sources - is cached indefinitely; company data for 12 months. Repeat analyses take minutes, not another full project - and next year is an update, not a restart.

Reference: indefinite · Company: 12 months