EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Climate X: Projecting losses due to extreme weather events linked to climate change

Kamil Kluza1 and the Climate X*
Kamil Kluza and the Climate X
  • 1Markela Zeneli, Climate X (
  • *A full list of authors appears at the end of the abstract

Climate change brings unprecedented risks to the future stability of global financial systems and our society. Central Banks and Governments around the world have joined forces to shape new policy in response to risks driven by climate change. These regulations will require firms to proactively identify, model, quantify and manage climate-related risks for the first time.

Climate X have just completed their first of a kind Integrated Assessment Model evaluating asset-level impacts of climate-related hazards across all 22 million addressed buildings in the UK. Each building has a modelled probability, severity and a simple A-F climate rating as well as a projected loss under given scenario.  

Our geospatial core comprises of UK-specific physical risk models including flooding (pluvial, coastal, fluvial) and geohazards (subsidence and landslides). The models are at 90mx90m resolution feed UKCP18 climate scenarios of RCP8.5 and RCP2.6. Flood models are physics-based and reach a Critical Success Index (CSI) of 75%+. Geohazard models use a combination of DinSAR and machine learning modelling with 90%+ accuracy levels (measured by AUC).

Loss models combine the geospatial hazards with buildings’ exposure (square meterage) and respective vulnerabilities: age, use, material built etc. They then apply insurance-based damage curves to compute structure & content losses against building replacement costs.


Climate X:

Dr Claire Burke, Dr James Brennan, Dr Hamish Mitchell, Dr Laura Ramsamy, Markela Zeneli

How to cite: Kluza, K. and the Climate X: Climate X: Projecting losses due to extreme weather events linked to climate change, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8342,, 2022.