We collect, codify, align, and analyze billions of data-points needed to calculate Climate Financial Risk. We make this data available to all our subscribers via secure API.
The most Comprehensive, Consistent, Science-based, Climate Risk Data in the World
Designed to fill a burning need in the market as expressed by regulators, governments, financial institutions, asset managers, and large corporations worldwide.
The CLIMATEWISDOM™ Data Exchange, provides subscribers with a central location for easily accessing geo-specific Climate Risk Data™. 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.
Datasets are updated daily and available to subscribers via secure API.
CLIMATEWISDOM™ simplifies the process of managing and analyzing petabytes of climate risk data for governments, regulators, financial institutions, climate scientist, analysts and business communities by mapping over 500 climate and economic variables to a user specified Climate Risk Region™
Each climate risk region contains the micro-eceonomic 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.
Climate Risk Data™ mapped to each Climate Risk Region™
- 58 leading Climate Models
- 385 Environmental Variables
- Structured Expert Judgement (SEJ)
- Transition Scenarios(NGFS – IPCC SSP’s -RT3
- Environmental Observation from 32,000 weather stations
- Storm Track Data
- Digital Elevation Models
- Satellite Imagery
- Physical Asset Data
- Multifactor Scenarios
- Market Sentiment
- Microeconomic Factors
- Position Level Shocks
- Microeconomic Shocks
- Physical Level Shocks
- Climate Risk Rating™
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 the codifies the casual links of climate and microeconomics drivers, factors and risk in a consistent transparent manner.
We make Climate Risk Data™ “regulatory ready” by enabling audibility of each and every piece of data allowing auditors to trace the precise origins of any data we produce.
Definitions
Regime – A set of Risk Factors that create a particular state used to condition the Scenarios that we calculate.
Risk – A situation involving exposure to danger, harm or loss.
Risk Factors – An element in the future that will affect the problem under study.
Scenarios – A description of a future value or evolution of the state of a Risk Factor.
Multi-factor Scenarios – Scenarios in combinations of Risk Factors.
Policy/Strategy – A choice of Regime.
Distribution – We use distribution as a shorthand for frequency distribution which is a listing of functions showing all the possible states of the Risk Factors and how often they occur.
Back Test – Is a test to see if a Risk Factor actually behaved in accordance with upper and lower limits that were used to generate scenarios.
Impact – The outcome of a set of Risk Factors within a scenario under regime, i.e. a 2% decrease in GDP, Impacts can also be Risk Factors.
Climate Risk Rating™ (CRR) – A numeric value calculated as the integral of the combined risk associated within a Climate Risk Region. Risk factors are weighted by their percentage change from a historical background (1980-2010).
Climate Risk Classification Standard™. CRCS™ – Is an emerging global standard that codifies the casual links of climate and microeconomic drivers, factors and risks in a consistent transparent matter.
