How ICE's geospatial data boosts climate risk assessments

ICE launches climate data and analytics solution for private companies https://lnkd.in/dJ22yqX3 Dun & Bradstreet Brian Filanowski Larry Lawrence #ESGdata #sustainableinvesting #climaterisk #climatedata

In this interview, Andrew Eil reflects on how climate risk thinking has shifted, what companies are struggling with, and why Athena represents a new standard for connecting environmental change to financial outcomes. #climatechange #geospatial #wildfires #riskmanagement #climaterisk #physicalrisk https://lnkd.in/g46ZJVSS

The Trustees of the NatWest Cushon Master Trust were looking for more in-depth and qualitative scenario analysis. They found Trex. 💬 Here's what they had to say in their latest Climate Change Report: "The Trustees have been working with Trex to provide transition risk data based on narrative scenarios, and physical risk data (including consideration of some climate tipping points). The Trustees are motivated to change the way in which they think about these climate risks because they are concerned about the potential market repricing risk that is not currently reflected by existing climate scenario analysis." 📖 Read the full report: https://lnkd.in/eyxv7FjK 💻 And learn more about Trex here: https://trexanalysis.com/

Bridging academic knowledge and approach with industry has its challenges. The post below outlines a commonly held view from climate scientists. I agree with most critiques, even though there are other very relevant aspects to the industry that are non-existent in academia: The "use case" drives the conversation. Are the data used to write a disclosure report? is it increase the boards' awareness about physical risk? or is it for designing a bridge? (the latter never occurred to me in 5 years of clients' engagement, the vast majority is the 2nd case). Some investors seek to develop "initial IP" to then sell it to big financial players, who also have teams who can evaluate the code and developing it. In this case, code transparency (upon selling) is more important than "accuracy". They aim at beginning to turn the wheel and define the language in which physical risk is spoken. Because currently, it is largely still not priced in. Nearly nobody in industry wants to talk about downscaling methods, uncertainties, model parametrizations and cloud physics. Embedding physical climate risk into decision making, reporting, and increased awareness require usefulness of the data output for the clients' and investors' use cases. Actually, many in the industry would place more value on a report by a reputable consulting firm than on the IPCC. Personally, I opt for merging both, but that is an ongoing mission, rather than an existing reality.

Dun & Bradstreet’s comprehensive private company data is now integrated into ICE's climate risk platform — bringing their climate data and analytics to 5M+ private companies globally. What this means for investors and asset managers: 📊 More robust climate risk assessments 🔎 Visibility into climate risks for private markets Learn about ICE's climate data offering ➡️ https://bit.ly/3Jtxypw Get a free D&B Climate Risk Insights consultation ➡️ https://bit.ly/3Jty8nc Brian Filanowski

🌍 From data to decisions: Leveraging data for climate risk portfolio assessment. In our latest GRESB Insights article, JLL explores how the real estate sector can better assess and manage climate risk—turning data into strategic decisions that build resilience and long-term value. The article highlights: ✅ Why climate risk is both a challenge and an opportunity for investors ✅ The data hurdles portfolio managers face when assessing physical risks ✅ How standardized frameworks, detailed asset data, and collaboration can unlock more reliable insights and drive adaptation planning Strong reporting processes and participation in frameworks like GRESB can give companies a clear advantage—providing the foundation to turn climate risk into climate resilience. 🔗 Read the full article: https://lnkd.in/eQSebUwM #ClimateRisk #DataDrivenDecisions #Sustainability #RealAssets

Integrating climate data into real estate risk management is key, yet the greatest challenge lies in consistently collecting high-quality, reliable data for large and diverse portfolios. While vendors can conduct initial assessments using basic locational data, generating actionable insights requires more detailed asset information, including building characteristics, asset values, reinstatement costs, and rental yields.

Proud to see our partner JLL leading the conversation on climate risk portfolio assessment in their latest GRESB Insights article. JLL explores how real estate can transform climate data into strategic decisions – exactly the kind of "climate translation" we're passionate about at Jupiter. When sophisticated climate science meets actionable business strategy, that's when organizations can truly turn risk into resilience. #ClimateRisk #RealEstate #ClimateResilience #DataDriven

Yue (Nina) Chen Chen just put out one of the most succinct and compelling explanations for the limitations of climate scenario analysis that I've seen to date. In this Responsible Investor piece, she explains why the current approaches to scenario analysis may be furthering climate complacency, in which financial institutions and companies wrongly conclude that they face limited direct impacts from a transitioning economy and worsening physical risks. I would love to see how some of the emerging approaches she describes are helping firms grapple with the implications of climate change. Embedded in this piece are also some encouraging nuggets: including data on the acceleration of clean energy technology, even without further policy support. I'm excited to see what other insights come from Nina, and the cohort of brilliant financial regulators who have recently left the government and may now be able to speak out about climate risks in a new way!

Current #climate scenario analysis fundamentally lacks probabilistic assessments, which severely limits effective financial valuation and policy decision making. Two complementary approaches can estimate these missing probabilities: a least-committal maximum entropy method using minimal constraints, and an economist-informed approach that incorporates professional recommendations for carbon pricing while correcting for implementation realities. Both methods converge on sobering findings: the median 2100 temperature increase will be approximately 2.7°C, with virtually no chance of limiting warming to 1.5°C and a significant 35-40% probability of exceeding 3°C. Without substantial policy corrections and significantly greater investment in climate abatement measures, the probability distribution will continue to favor dangerous high-temperature anomalies of 3°C or higher, which have never been experienced by human civilization and would dramatically increase the likelihood of irreversible climate tipping points, making adaptation efforts far more challenging and costly than current transition investments. Maintaining current inadequate carbon pricing policies essentially condemns future generations to bear catastrophic physical climate damages.