The Climate Risk Engines

The XDI Platform is powered by the computational Climate Risk Engines. Under constant development since 2011, the technology underpinning XDI’s powerful analysis has 2 international patents pending.  Developed by Climate Risk Pty Ltd in conjunction with Sydney Water, Australia’s largest water utility, the technology was a finalist in the National Technologies Awards in 2017.  Over the last 7 years the capability has steadily expanded to accommodate additional hazards and multiple data sources and climate scenarios.

Cross Dependency Analytics

Bespoke algorithms are used to find the critical infrastructure required to run each asset – including power, communications, water and access. Cumulative upstream risk is added to the risk profile of each asset being analysed.

Asset Specific Archetypes

Asset specific information gives deeper insight into how an asset will perform in certain conditions, when it is likely to fail and why.  XDI Platform analyses climate hazards against representative assets (“archetypes”) which are tailored to mimic a real asset at the same location and embedded in the Climate Risk Engines. 

 

A single archetype is defined by up to 100 pieces of information which include type, location, age, replacement cost, design specifications, major component parts (elements), construction materials, and capacities.  Factors like floor height, construction materials, height of electrical components and wind ratings will all impact an assets performance under extreme weather stress. 

The Climate Risk Engines contain over 100 archetypes for classing and sub-classing assets including pipes, pumps, sub-stations, train stations, schools and signal boxes. New archetypes are created to accommodate new client data as needed.
Karl Mallon
Director, science and systems

Sector Coverage

The Climate Risk Engines have been used to quantify the impacts of climate change to over 16 million physical assets including:

  • Water networks
  • Power networks
  • Communication networks
  • Roads
  • Rail and Metro
  • Residential housing
  • Commercial and Industrial buildings
  • Health infrastructure
  • Forest Fire
  • Riverine Flooding (fluvial)
  • Overland flooding (pluvial)
  • Coastal Inundation
  • Heat extremes
  • Subsidence (Soil Movement Due to Drought)
  • Extreme Wind
  • Freeze-Thaw
  • Lightning (under development)
  • Land slip (under development)

Hazards Coverage

Geographical Coverage

Full coverage in North and South America, Europe, Africa, East Asia, Australia and New Zealand. 

The Climate Risk Engines have been used to stress test mortgage portfolios of two of Australia’s largest home lending banks (Commonwealth Bank and Westpac).
They are also used by the governments of New South Wales, Victoria and Queensland who service more than 70% of Australia’s population.
Karl Mallon
Director, Science and systems

Climate and Hazards Data

  • Dynamically-downscaled Regional Climate Models (RCMs) from the CORDEX project, based on recent Global Climate Models (GCMs) simulations from CMIP5.
  • RCP 8.5 models are used for asset stress testing under a higher emission, business-as-usual scenario – consistent with the current global emissions trajectory
  • High resolution simulations, allowing fine-scaled local projection of climate hazards (from 50km down to 10km in some areas)
  • International address matching
  • Global flood data at 30m resolution and 5m resolution in some areas
  • Global LIDAR elevation data at 30m horizontal resolution.  5m available in some areas
  • Global vegetation maps for fire at 30m resolution
  • Soil maps at 30m resolution for subsidence

Location Specific Data

Secure International Servers

  • Up to 12 high performance cloud servers, generating a combined parallel processing capability of 864 CPU cores.
  • EC2 (elastic cloud computing). The risk engines can run on both Google servers and Amazon web services.
  • The service can be securely deployed anywhere around the world – asset data need never leave the host country.
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