We Build the world's most powerful risk engines to quantify climate impact risk
We build from the ground up using bespoke code, running on specially configured banks of high-speed servers. We use engineering methods focused on the physical mechanisms that undermine the ability of an asset, system or person to function. We use statistical and probabilistic methods to compute how extreme weather and climate change will cause such harm going forward.
Risk is the science of uncertainty. And managing uncertainty is a bedrock of climate science. Our job is to build a bridge between the two. We interrogate models of the global and regional climate at large spatial scales, and use those to adjust weather and hazards data that may be highly localised, where differences of just metres can be the difference between safety and damage.
We are one of the biggest and most tenacious climate adaptation teams in the world. Our skills span applied science, engineering, finance and public policy. We pride ourselves on cutting edge work and the ability to work with many sectors - from insurers and banks, to utilities and governments and environment groups and community service organisations. Our record on innovation and outcomes speaks for itself.
Full list of Data Sources & References
System security is very important to us.
Working with a consortium of water utilities and the Australia Government, Climate Risk and Sydney Water developed software to undertake cost benefit analysis and adaptation planning across large numbers of highly engineered assets... The system went through international peer review by scientists, engineers and financial analyst and went on to win a national award from the climate science community. AdaptWater has been used continually since its launch, informing adaptation of assets worth up to a quarter of a billion dollars.
The Climate Risk Engines were now able to process an ever expanding range of fixed and linear assets; water, wastewater,
power, roads, rails and telecomm's. New commodities were added like data flows and customer disruptions...
AdaptInfrastructure was even expanded to look at government owned housing, requiring a major increase in processing
capability to 100,000 assets. The AdaptRoads project identified the risks of road surfaces being burned out by
wildfires, or pot-holed by flooding. The system also expanded to include âtrafficâ as a reporting KPI. Processing
capacity expanded from handling hundreds of assets to 1,000s.
To support the democratisation of climate change risk analysis, the Climate Risk Engines were harnessed to analyse residential property at low costs for use by home buyers and the real estate industry. Uptake has peaked at over 4,000 report downloads per day!
The Climate Risk Engines now made the jump to treating sectors separately to providing comparative analysis within a single platform. This enabled benchmarking sectors against one another using the same scenarios. It provided the ability to analyse cross-dependent risks, which could ripple through a supply chain and whilst also finding opportunities for cost-sharing and collaborative adaptation.
XDI Sydney Project wins the Better Together Award.
Supporting XDI’s global ambition’s Climate Risk Engines have
provided the heavy lift behind www.EasyXDI.com which aims to analyse any
infrastructure, at any time this century, anywhere on the planet...
To access data on changes to the climate is relatively straight forward in most places, but to compute physical and
financial risks based on weather data, forests, soils, coasts, elevations and flood maps is perhaps the most ambitious
project of its type ever undertaken in private sector adaptation research.
CEO and CTO
CFO
Chief of Staff
Chief Scientist
Head of Computing
