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Welcome to CRL Climate Risk Wiki,

the place for best climate risk data, analysis, and tools available for all.

UW Climate Risk Lab

The UW Climate Risk Lab (CRL) is a multidisciplinary research and innovation center based at the University of Washington Foster School of Business in the Department of Finance & Business Economics. Established in 2022, it advances data and technology solutions to issues in climate-related financial risk for corporate and government decision-makers. Phillip Bruner, co-founder of the CRL, currently serves as its Executive Director. (Read more ...)

License Information

This website’s content is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  • Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  • Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  • No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Read the full license here.


Climate-related Financial Risk

Climate change is a medium- to long-term trend that is expected to have significant financial impacts on companies in affected industries, including on their credit profiles and/or share prices. However, this knowledge is not particularly helpful for lenders, investors, or regulators unless these climate-related financial risks can be further defined in terms of their scope and, more importantly, their timing and likelihood. It is necessary to identify climate risks to industries before they cause reductions in asset utilization or valuation, reduced income and margins, or other financial impacts—changes that translate into credit risk and influence lenders’ decisions about financial profiles.


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