February 27, 2020 – BERKELEY, CA – Four Twenty Seven, an affiliate of Moody’s and the leading publisher of climate data for financial markets, today announces the release of a new on-demand climate risk scoring tool. This application responds to the financial sector’s growing call for the seamless integration of granular, forward-looking climate data into investment decisions and risk management practices.
Users are able to enter location and other data via an intuitive interface and immediately receive information on their assets’ exposure for floods, sea level rise, hurricanes & typhoons, heat stress and water stress to mid-century. The application allows users to browse and download detailed facility scorecards that include data on the underlying risk drivers for each hazard. The application also enables users to toggle between maps and tables to identify regional trends and multi-hazard exposure. Users can perform analyses for large volumes of locations via an API and integrate the outputs into downstream risk management and portfolio analysis applications.
As the material financial impacts of climate change become increasingly evident, understanding and preparing for climate risks is essential. Real estate investors can use Four Twenty Seven’s physical climate risk app for due diligence and proactive risk management across their portfolio of properties. Portfolio managers can leverage the application to report climate risk exposure and enhance portfolio decision-making. Asset owners can evaluate long-term risk exposure and engage with corporations and managers to improve resilience. Banks can score thousands of locations at once to identify risk in commercial and residential lending portfolios. Corporations can identify risk hotspots and opportunities to build resilience in their global operations.
“We are excited to bring our on-demand physical climate risk application to the market. Our app provides access to sophisticated climate model outputs in easily understandable metrics with just a few clicks,” says Four Twenty Seven’s Founder & CEO, Emilie Mazzacurati. “Real-time access to forward-looking, location-specific data on climate risk enables investors, banks and corporations to manage their risk and invest in resilience.”
December 4, 2019 – 427 REPORT. Scenario analysis is an essential yet challenging component of understanding and preparing for the impacts of climate change on assets, markets and economies. When focusing on the short term, the warming and related impacts we have already committed to calls for scenarios that are decoupled from economic and policy activities and instead focus on the impacts that are already locked in. This report explores which impacts are already locked in, identifies how Representative Concentration Pathway (RCP) scenarios fit into the conversation, and describes an approach to setting up scenario analysis for near-term physical climate risks.
As the effects of climate change increasingly threaten financial stability, investors and regulators are seeking to understand what impacts lie ahead, and calling for an increase in physical climate risk assessment and disclosure in line with the Task Force on Climate-related Financial Disclosures (TCFD). To assess the scale of financial risk posed by physical climate change it is important to quantify risks under different climate scenarios. How will changes in extreme weather patterns, longer droughts and rising seas differ under various scenarios? Answering these questions through scenario analysis helps uncover the range of risks, allowing investors to identify assets and markets that are more likely to become stranded over time and to begin developing forward-looking resilience strategies. However, science-driven, decision-useful scenario analysis poses many challenges for businesses and financial stakeholders today, due to complex feedback loops, varying timescales, and multiple interacting factors that ultimately determine how global climate change manifests.
Figure 2. Distribution of daily extreme temperature changes in 2030-2040, expressed as a percent change, relative to a baseline of 1975-2005 under RCP 8.5. This map shows statistically downscaled global climate models averaged together, for this time frame and scenario. NASA Earth Exchange Global Daily Downscaled Projections statistically downscales climate model outputs to a ~25 kilometer resolution (see full details here) White areas are excluded because they lack potential for significant economic activity.
This new report, Demystifying Climate Scenario Analysis for Financial Stakeholders, explores which physical impacts are already locked in, identifies how Representative Concentration Pathway (RCP) scenarios apply, and describes an approach to setting up scenario analysis for near-term physical climate risks. Scenario analysis is often approached from the perspective of transition risk, where policy developments and greenhouse gas (GHG) emission targets are the key drivers of risk pathways over the near-term, in the next 10 to 30 years. Physical risk, however, requires a different approach. Impacts over the coming decades are largely locked in, making the emissions scenarios less relevant. Unlike transition risk, GHG emission pathways play a minimal role in the behavior of the near-term climate and GHG emission pathways only begin to meaningfully influence global temperatures near mid-century. The uncertainty in physical climate risks in the near-term is driven by uncertainty in physical processes, rather than in policy decisions.
For organizations looking to construct physical climate risk scenarios for risk management and strategy purposes, it is critical to understand the scientific phenomena driving our plausible climate futures. This report outlines an approach called percentile-based analysis, which allows users to explore the range of potential outcomes based on climate model outputs within a single RCP. This offers a flexible, data-driven approach, suitable for portfolio-level screenings, reporting, and in some cases, direct engagement with asset managers.
OCTOBER 23, 2019 – BERKELEY, CA – Four Twenty Seven announces opening of Tokyo office and hires senior country representative.
Four Twenty Seven, an affiliate of Moody’s and the leading publisher of climate data for financial markets, is pleased to announce the opening of its office in Tokyo, Japan. Four Twenty Seven’s Tokyo office opens as investors and businesses in Japan and across the Asia-Pacific region face increasing market pressure to assess and disclose the risks physical climate hazards pose to their investments.
In conjunction with the opening of its office in Tokyo, Four Twenty Seven is also pleased to announce that Toshi Matsumae will serve as its Director of Japan. Toshi brings 30 years of experience leading financial services organizations in Japan. He leverages this expertise to lead Four Twenty Seven’s effort to provide climate risk screening to investors, asset managers, banks and corporations striving to understand their risk to physical climate hazards throughout Japan.
“We’ve seen growing demand from Japanese markets over the past year for transparency around exposure to physical climate risks in corporate assets, investment portfolios and in credit portfolios,” says Emilie Mazzacurati, Four Twenty Seven’s Founder and CEO. “Four Twenty Seven’s on-the-ground presence in Japan will allow us to bring asset-level risk data to support this demand and inform global resilience-building.”
“The opening of Four Twenty Seven’s Tokyo office comes at a time when the financial sector is calling for better integration of forward-looking climate data into decision-making,” says Toshi Matsumae, Four Twenty Seven’s Director of Japan. “I look forward to working with investors and businesses throughout Asia to better understand and serve the needs of this evolving market.”
2019年10月23日 –カルフォルニア、バークレー拠点の フォー・トゥエンティー・セブンが東京オフィスを開設
How does the private sector view climate change, why is this important for global climate adaptation and how does someone in this field remain motivated? Founder & CEO, Emilie Mazzacurati, joins Josh Dorfman’s new podcast, The Last Environmentalist, to discuss these topics and much more. The conversation covers the evolving views of climate risk in the financial sector and how this awareness can translate into resilience-building. Emilie describes near-term impacts of climate change on real estate markets, adaptation actions taken by corporations and the interacting nature of climate risk and resilience across private and public sectors.
For more detail on climate risk in real estate, read our recent analysis, Real Estate Climate Risks: How Will Europe be Impacted? For more insight on shareholder engagement, read our report, Engaging with Corporates to Build Adaptive Capacity.
The TCFD Status Report published early June 2019 reiterates the need for corporations and financial institutions to perform scenario analysis in a context of uncertainty over climate risk. It notes that while about 56% of companies use scenario analysis, only 33% perform scenario analysis for physical risk. Even fewer firms (43% of those using scenario analysis) disclose their assumptions and findings. The report contains useful case studies, but most focus on transition risk.
Yet a growing number of corporations and financial institutions recognize the need to integrate physical risk into scenario analysis and to develop resilience strategies that address imminent challenges from climate impacts. For example, the most recent IPCC report illustrating the impact of 1.5˚C increase in global temperatures on mean temperatures, extreme temperatures, extreme precipitation and sea levels shows that there will be significant implications for economies even with a 1.5˚C increase in global temperatures. This is still a best case scenario compared to impacts of 2˚C or 2.5˚C warming.
Scenario analysis for physical risk is fundamentally different from transition risk in its challenges and assumptions. This blog series provides our current reflections on how corporations and financial institutions can integrate physical climate risk into scenario analysis. This first blog presents the Foundations, focusing on important characteristics of climate science that affect how climate data can be used to inform scenario analysis for economic and financial risk. The next blog focuses on Equity Markets, with concrete examples of how available data can inform financial stakeholders ready to start putting scenario analysis into action. A forthcoming post will discuss scenario analysis at the asset level for real asset investments and corporate facilities.
The physical impacts of climate change encompass a range of direct and indirect hazards caused or exacerbated by the concentration of greenhouse gases in the atmosphere. Previous publications such as Advancing TFCD Guidance for Physical Risks and Opportunities, for which Four Twenty Seven was a lead author, provide background on these hazards as they pertain to corporate value chains and economic activities. Further information is also available in Cicero’s excellent report, Shades of Climate Risk. Categorizing climate risk for investors.
Rapid developments in atmospheric and climate science over the past 30 years enable us to understand how these physical hazards will evolve over time due to climate change. Sophisticated global climate models project expected changes in key physical phenomena affected by greenhouse gas (GHG) concentration: heat, humidity, precipitation, ocean temperature, ocean acidification, etc. Like any other models, climate models have limitations in their accuracy and ability to correctly simulate complex and interrelated phenomena. However, it is worth noting that since 1973 models have been consistently successful in projecting within the range of warming that we have experienced in the past twenty years. More details on climate data and uncertainties from global climate models can be found in our report, Using Climate Data.
The Bad News: Impacts Are Locked In
Global climate models project different possible outcomes using scenarios called Representative Concentration Pathways (RCPs). RCP scenarios capture differing GHG emissions trajectories based on a representation of plausible global policy outcomes, without specifying the details of the underlying policies that could generate this outcome. These scenarios show that GHG emissions generated over the coming decades will influence the severity of impacts in the long-term, but also that we are already committed to some impacts through 2100 and beyond.
This is particularly noticeable over the “short term.” When looking at the next 10 to 20 years, projections for temperature and other physical hazards do not present significant differences under different emissions scenarios (Fig 1). This is due to the massive inertia of the Earth’s systems, and the life expectancy of the stock of greenhouse gases already in the atmosphere. To put it simply, significantly reducing GHG emissions is akin to applying the brakes on a rapidly moving truck. It won’t stop instantaneously. Even if we were to stop emitting GHG altogether, climate change would persist. In the words of the Intergovernmental Panel On Climate Change (IPCC), climate change “represents a substantial multi-century commitment created by the past, present, and future emissions of CO2.”
This is by no mean an invitation to give up on reducing GHG emissions. Quite the opposite. Emission reductions are critical to curbing long term impacts and avoiding irreversible effects to our environment (Fig. 2). But for organizations looking at climate data and scenario analysis for risk management and strategy, with a focus on the coming decade(s), this is a critical fact to understand.
Aside from RCP-driven scenarios, there is, of course, a broad range of possible increases in temperature (and other climate hazards) even when looking at the 2030-2040 time frame. These plausible differences are not so much policy-driven as science-driven, demonstrating the different possible responses from the Earth’s systems to the existing stock of GHG.
These differences have significant implications for businesses and investors. For example, a model of sea level rise developed in 2018 incorporates accelerated rates of melting and recent advancements in modelling ice-cliff dynamics to capture extreme risk of coastal flooding. The model shows the Atlantic rising by 1.2m (3.9ft) by 2060 on the Florida coastline, which would equate to widespread flooding of coastal properties with potential domino effects on real estate prices across the state (Fig 3). The ‘intermediate’ scenario, however, most often used for planning, predicts only a 55cm (1.8ft) rise in water levels. While reducing GHG emissions does reduce the risk of more extreme sea level rise millennia into the future, year after year, scientists find that the Antarctic is warming faster than anybody predicted, and there is increasing concern that the process of ice sheet melt may be too far advanced to be stopped.
Thus, performing scenario analysis where the key variable is GHG emission reduction targets may not be an accurate representation of the range of possible outcomes for the near future. Rather, looking at high and low warming projections across a large set of models to understand the range of potential outcomes (independent of the underlying RCP scenario) is a better way to understand potential risk. In other words, physical risks over the next 10-20 years are largely independent from policy decisions and emission pathways, and a rapid, orderly, effective transition to a low-carbon economy could still come with massive physical impacts as these processes are already under way, fueled by the past 150 years of GHG emissions.
The Worse News: Tipping Points
Another challenge is that climate scientists are not currently able to model certain possible impacts from climate change, commonly known as “tipping points.” Tipping points is a catch-all term for a wide range of phenomena that may accelerate feedbacks due to climate change, though the timing or probability of their manifestation is currently not well understood. The phenomena are known as tipping points because past a certain threshold, they may not be reversible, even with a dramatic reduction in GHG emissions. Tipping points of most concern to the scientific community are presented in this report from the Environmental Defense Fund.
Some tipping points catalyze “feedback loops” which can worsen and dramatically accelerate climate change beyond human control. Such is the case, for example, with melting ice sheets, which would not only lead to catastrophic sea level rise, but would also further heat up the planet as the poles’ albedo (reflectivity) is reduced after the ice disappears. Thawing permafrost could lead to massive amounts of methane, a particularly powerful GHG, to be released from the frozen tundra into the atmosphere (in addition to many direct impacts for local communities, infrastructure and ecosystems in the region).
Tipping points further reinforce uncertainty about severity and timing of these extreme impacts and the limitations of using RCP scenarios to understand the range of outcomes for physical risk.
Another source of uncertainty for physical climate impacts are knock-on effects, or ‘indirect hazards,’ from the primary expression of global warming (rising temperature and humidity), ranging from biodiversity losses and ecosystem collapses, human health impacts, impacts on crop yields, pests and soil, impacts on human society, increased violence, and rates of war and migration, etc. (Fig 4)
These indirect or second-order hazards are as relevant as first-order impacts to understand the implications of physical climate change on economic outcomes, but they’re not captured by RCP scenarios and many require stand-alone models that cannot easily be integrated into one clean set of scenarios.
Scenario analysis is often approached from the perspective of transition risk, where policy developments and GHG emission targets are the key drivers of risk pathways over the next 10 to 30 years. Physical risk, however, requires a different approach. Impacts over the coming decades are largely locked-in and are only marginally influenced by GHG emission pathways. In contrast, uncertainty looms large regarding how severe these physical hazards will be, and exploring a range of possible outcomes for physical risk, including looking at tail-risks, provides important insights for risk management and financial analysis. In summary, the current state of scientific knowledge and the nature of the Earth’s atmospheric systems call for the developments of scenarios that are decoupled from transition/policy scenarios and instead focused on key scientific drivers of uncertainty and risks that may be experienced regardless of policy decisions over the short to medium term (2020-2040).
While efforts to develop easy-to-use tools for physical risk analysis are nascent, organizations can still extract important insights from climate data and leverage estimates of risk exposure across portfolios. Our next blog in this series provides examples of how financial institutions can leverage data on physical risk exposure in equities to inform some early scenario analysis in equity markets.
Four Twenty Seven’s data products and portfolio analytics support risk reporting and enable investors and businesses to understand their exposure to physical climate risks across asset classes.
As climate change impacts worsen, the need for solutions to support adaptation grows. Founder & CEO, Emilie Mazzacurati, joined Molly Wood on Marketplace Tech to discuss climate risk analytics. The conversation covers the importance of understanding climate risk exposure and how companies leverage climate data to prepare for climate hazards. While recent findings on sea level rise and other climate impacts can be daunting, there is hope for adaptation that builds resilience across sectors.
For more on climate risk and resilience in the private sector, explore our climate risk analytics and read our reports on Climate Risk in Real Estate and Engaging with Corporates to Build Adaptive Capacity.