The financial sector is increasingly taking steps to assess risks and prepare for future climate changes. Still more is needed to create greater climate resilience. Before financial managers can make fundamental changes, they must first better understand to what extent climate change will amplify physical risk exposure to both gradual risks, such as sea level rise, as well as extreme weather losses. It is crucial to understand how event frequency, location, experienced direct losses, as well as a country’s capacity to cope with the recovery are influenced depending on which global warming pathway the world is on. Did you already think through the risk differential of your real assets portfolio 20 years from now under a Paris-aligned scenario versus a Failed Transition scenario?
Climate PREDICT assesses portfolio / real assets' exposure to future extreme weather events
Climate PREDICT quantifies the increase in frequency as well as impact (financial losses) of extreme weather risk to physical assets and economic growth. Extreme weather frequencies ad expected losses year-by-year, per type of event (e.g. droughts, storms, floods) for over 150 countries and 1800 cities globally, are also converted to growth impacts per country. Based on our ClimateMAPS scenarios and latest climate attribution science literature, we deliver these forward-looking estimations for both a climate-uninformed baseline, as well as under different global warming pathways..
The Climate PREDICT tool was designed for financial institutions with large infrastructure, property and real estate portfolios such as banks, real estate managers, pension funds, and (re)insurance companies. Our tool can help these organizations understand the financial impacts of climate attributable extreme weather on:
- Mortgage Risk
- Real-estate evaluation
- Property & Casualty underwriting risks
- Capital Market return assumptions
Get to know the full potential of Climate PREDICT in 2 minutes
Climate PREDICT offers:
- Proprietary Extreme Weather Frequency & Loss Modeling: Forward-looking extreme weather risk & impact model differentiating climate-attributable and non-climate attributable damages.
- Science-Based, Objective Methodology: Dynamic model incorporating the most current literature.
- Robust Data Sources: Encompassing global temperature anomaly data, urbanization data, extreme weather type specific data, and hazard risk data.
- Quantified Insight on Financial Risks: Extreme weather frequency and loss are differentiated by type of hazard, when and where the event will occur, and whether the frequency and losses are attributable to climate change.
Our three-module offering
The offerings will show estimates of the changes in extreme weather frequency, economic losses ($), and GDP impact over various climate pathways. Extreme weather impacts can be attributed to climate-induced and non-climate factors. These analyses are available in three different modules:
Consultancy & Bespoke Projects
Access to our Climate PREDICT dashboard with interactive map visualizations and associated narrative texts
Dataset license for your country of interest. This is provided in conjunction with continent and world level data.
Consulting support and bespoke projects such as a zoom-in on a specific country/region, overlays with own in-house data. For example, how will extreme weather event losses change in a post-COVID world?
Webinar on Climate PREDICT
Climate PREDICT is available via a user-friendly interactive dashboard, a dataset license, or a more bespoke service to enhance available in-house datasets with an additional climate-informed overlay. Deepen your understanding of the Climate PREDICT approach and applications by watching our webinar.
Download the full Climate PREDICT brochure for more details