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 two 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.

Sector Coverage

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

  • Water networks
  • Power networks
  • Communication networks
  • Roads
  • Rail and Metro
  • Residential housing
  • Commercial and Industrial buildings
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
  • Bushfire/Wildfire
  • 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

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.
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
  • Data-base of national buildings – heights, land areas and footprints.
  • A flood data set at a resolution of 5mx5m in built up areas.
  • LIDAR elevations data at 5mx5m horizontal resolution.
  • Country specific fire maps and soils data.

Location Specific Data

Geographical Coverage

Currently Australia, Canada, Fiji and Samoa, and will be expanded to meet the needs of XDI in new countries.  USA and UK are currently under development.

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.

Cross Dependency Analytics

Climate Data Sets and Scenarios Available for Analysis

For any given location, the risk engine selects climate models data based on the following criteria:

  • Locally available dynamically-downscaled Regional Climate Models (RCM) that are considered to have good local skill.
  • Those most appropriate for stress testing the hazard in question (e.g. models that result in high precipitation are used to test flood risk),
  • RCP 8.5 models are used to consider the higher end emission pathways.
  • Highest resolution for the local area (between 50x50km and 10x10km).
  • Most recent models (CMIP5 and CMIP3 are available).
  • Haigh-et-al-2014
  • National Oceanic and Atmospheric Administation NOAA) Low, high, Extreme
  • IPCC Church et al.) RCP4.5, RCP6.0, RCP8.5
  • AU-NARCliM-MIROC3.2
  • NARCliM-MIROC3.2
  • DSITI-NorESM1-M
  • PCDS
  • BOM
  • CORDEX – CCVma-CanESM-SMHI RCA4
  • AU-NARCliM-MIROC3.2
  • NARCliM-MIROC3.2
  • DSITI-ACCESS1.3
  • PCDS
  • BOM
  • CORDEX – CCVma-CanESM-SMHI RCA4
  • AU-NARCliM-MIROC3.2
  • NARCliM-MIROC3.2
  • NARCliM-ECHAMR3
  • DSITI-NorESM1-M
  • PCDS
  • BOM
  • CORDEX – CCVma-CanESM-SMHI RCA4
  • AU-NARCliM-ECHAMR3
  • NARCliM-ECHAMR3
  • PCDS
  • BOM
  • CORDEX – CCVma-CanESM-SMHI RCA4
  • CSIRO Climate Futures –Low, Medium, High
  • PCDS
  • CORDEX – CCVma-CanESM-SMHI RCA4
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