Climate Risk
Data Exchange

The Most Comprehensive, Consistent, Science-based Climate Risk Data in the World

The CLIMATEWISDOM™ Data Exchange, provides subscribers with a central location for easily accessing geo-specific Climate Risk DataTM. This data is needed to identify, evaluate and stress-test the potential financial impacts of climate change on industries, economies, portfolios and assets. It harmonizes transition scenarios like NGFS and IPCC SSPs with the data needed to calculate physical and investment risks.

Using Machine Learning and Structured Expert Judgement, Riskthinking.AI collects, aligns, codifies and algorithmically generates billions of data-points and thousands of derived Climate Risk Datasets covering the entire surface of the earth. Our derived Climate Risk Data leverages a patented multi-factor scenario generation algorithm to capture the uncertainty in market-related risk factors at numerous future horizons.

Our tools and services enable users to access, visualize, analyze, compare, simulate and publish model data on scales from hours, months and years spanning from 1850 to 2100.

CLIMATEWISDOM™ simplifies the process of managing and analyzing petabytes of climate risk data for governments, regulators, financial institutions, climate scientists, analysts and business communities by mapping over 500 climate and economic variables to a user specified Climate Risk Region™ Datasets are updated daily and available to subscribers via secure API.

Each Climate Risk Region contains the macroeconomic and climate risks (Chronic and Acute) for a user specified time period (1850-2100) and transition scenario (SSP1-5, NGFS, ISIMIP). 

Climate Risk Regions scale globally, regionally, nationally from 150 square kilometers, to ultra high resolutions of 90 square meters, down to a specific latitude / longitude.

The Most Comprehensive, Consistent, Science-based Climate Risk Data in the World

  • 58 leading Climate Models
  • 385 Environmental Variables
  • Structured Expert Judgement (SEJ)
  • Transition Scenarios
  • Environmental Observations 
  • Storm Track Data
  • Digital Elevation Models
  • Satellite Imagery
  • Physical Asset Data
  • Multifactor Scenarios
  • Market Sentiment
  • Macroeconomic Factors
  • Position Level Shocks
  • Macroeconomic Shocks
  • Physical Level Shocks
  • Climate Risk RatingTM

Riskthinking.AI’s Climate Risk Data is organized in a hierarchy of climate risk and economic factors and aligned spatially and temporally to the Climate Risk Classification Standard (CRCS)™

CRCS™ is an emerging global standard that codifies the causal links of climate and macroeconomic drivers, factors and risks in a consistent transparent manner. 

We make Climate Risk Data “regulator ready” by enabling auditability of each and every piece of data allowing auditors to trace the precise origins of any data we produce.