12 Critical Questions Before Buying Climate Risk Data

12 Critical Questions Before Buying Climate Risk Data

This article was first published on iklimriskleri.com and migrated with a July 2026 update.

Physical climate risk data is no longer just an ESG checkbox; it is a direct input to valuation, loan pricing, and capital allocation. Providers that look similar on the surface differ sharply in scientific rigor, verifiability, and defensibility under audit. The 12-question checklist below helps you screen them properly before you buy.

The 30-second summary

  • The 12 questions fall along three axes: model and data quality, compliance and assurance, and future-proofing and local testing.
  • A “black box” score whose sources cannot be documented is indefensible in front of auditors and regulators.
  • Climate-disclosure reporting under IFRS S2 / ISSB has entered the limited assurance era — in Türkiye adopted as the Türkiye Sustainability Reporting Standards (TSRS); the BDDK guide expects scenario analyses to be integrated into İSEDES (the Turkish ICAAP).
  • The first CMIP7 outputs are being released from mid-2026 onward; CMIP6 remains the valid reference, and the industry transition will run into 2027-2028.

Buyer’s Guide to Evaluating Physical Climate Risk Data — including benchmark criteria and sample answers: Access the Guide

Why now?

The market is full of tools promising “high-resolution maps” and “instant scores”; weak inputs are invisible at first glance, and the bill arrives later as mispricing, reputational damage, and audit findings. The timing is critical: climate disclosures under IFRS S2 / ISSB are entering the limited assurance audit era — in Türkiye through the TSRS regime — while the BDDK guide, in force since July 1, 2025, expects banks to integrate scenario analyses into İSEDES.

Three axes of the 12 questions to ask a provider 6 questions Model and data quality Q1–Q6 4 questions Compliance and assurance Q7–Q9 and Q11 2 questions Future and local testing Q10 and Q12
The weight of the 12 questions sits in model and data quality; compliance, assurance, and future-proofing complete the picture.

The 12 questions to ask before you buy

# Question Why it matters
1 Model transparency: Which GCMs/SSPs, bias corrections, and assumptions are used? A score whose sources cannot be documented is indefensible in front of an auditor; a “black box” is unacceptable.
2 Scientific rigor: Is the method grounded in peer-reviewed literature, and are outputs validated against observations? Nobody can vouch for the real-world grounding of a model that has never been confronted with observations.
3 Uncertainty handling: Are scenario ranges and confidence bands provided? A product that gives you a single number for 2050 is not telling you what it does not know.
4 Downscaling and resolution: Are the downscaling method and grid detail documented? Going from a hundred-kilometer grid down to building scale is where errors hide most easily.
5 Metric quality: Are the indicators clearly defined and linked to financial outcomes? An indicator that cannot be translated into collateral value, business interruption, or damage remains decoration.
6 Multi-hazard coverage: Are compound effects such as extreme heat + low humidity + wildfire modeled? Products that treat hazards one at a time systematically understate portfolio tail risk.
7 Currency and versioning: Are data and algorithm versions traceable; is there an API? Being unable to explain why a score changed is an MRM finding in itself.
8 Regulatory readiness: Does it feed directly into IFRS S2 / TCFD templates (TSRS in Türkiye) and the İSEDES/ICAAP process? Compliance is not a marketing line; it is a matter of output format.
9 Access and support: Beyond the dashboard, is there real access to experts and documentation? The day you defend the methodology to your board or auditor, you need an expert across the table.
10 CMIP7 transition plan: What is the roadmap from CMIP6 to CMIP7? The first CMIP7 outputs are being released from mid-2026 onward; the most pessimistic pathway, SSP5-8.5, was dropped from the new generation. CMIP6 remains the valid reference, but ask for the transition and comparability plan today.
11 Resilience under assurance audits: Are the methodology document, data lineage, and assumption list mature enough to pass an audit? In the IFRS S2 limited assurance era (TSRS in Türkiye), climate inputs are now within the auditor’s scope; a provider without answers stalls the process.
12 Local backtesting: Does the model capture the events Türkiye has actually experienced? The 2025 wildfire season spread across 53 provinces and, per EFFIS figures, burned more than 162,000 hectares; the Tahtalı Dam fell to 0.13% of capacity in December 2025; floods and landslides in Hatay claimed 4 lives in May 2026. If the map shows none of that, why trust its 2050 output?
Rule of thumb: Climate risk data is capital risk data. Scores that understate flooding or ignore wildfire misguide credit, collateral, and portfolio decisions; a projection that ends in 2050 designs the wrong future for an asset that will live until 2075. Without transparency + validation + localization, there is no strategy to build on.

Why us?

UrClimate Score produces high-resolution layers and location-based scores built specifically for Türkiye; UrClimate Next adds scenario and uncertainty bands, multi-hazard analysis, version tracking, an API, and expert support. Output sets are IFRS S2 / TCFD-aligned (and TSRS-ready for Türkiye), and the documentation is audit-ready.

FAQ

Why is climate risk data a “capital decision”?
Wrong or opaque scores directly affect valuation, collateral, and loan terms.

Why are uncertainty bands essential?
A single value breeds overconfidence; scenarios and confidence intervals make decisions more robust.

Is it risky to buy climate data before CMIP7 lands?
No. CMIP6 remains the valid reference for TCFD/ISSB- and CSRD-aligned analyses; what matters is that the provider can document its CMIP7 transition plan today.

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