December 3, 2020 – Four Twenty Seven Report. More frequent and severe extreme events driven by climate change pose a significant threat to nations around the world and understanding who and what is exposed to climate hazards is essential to pricing this risk and preparing for its impacts. This new report and underlying analytics assess sovereign exposure to floods, heat stress, hurricanes and typhoons, sea level rise, wildfires, and water stress based on the only known global dataset matching physical climate risk exposure to locations of population, GDP (Purchasing Power Parity) and agricultural areas within countries.
Globally, increasingly severe climate conditions impose growing pressure on populations and economies. The implications on economic growth, welfare, production, labor, and productivity are large, with potential material impacts on sovereign credit risk. However, assessing sovereign climate risk presents significant challenges. While most approaches to quantifying future climate risk exposure for sovereigns measure the average exposure over the entire territory of a country, this doesn’t capture whether the populated or economically productive areas are exposed to extremes. Likewise, averages of exposures to several climate hazards can mask extreme exposure to a particular hazard in a certain area of a country.
We’ve mapped the co-occurrence of hazards and exposures, explicitly factoring in the spatial heterogeneity of both climate hazards and people and economic activities across a country. This new report, Measuring What Matters – A New Approach to Assessing Sovereign Climate Risk, provides an analysis of the data. We find that all nations face meaningful risks despite their variation in size and resources. Explore sovereign climate risk in the interactive map below, based on both total and percent of a nation’s population, GDP (PPP) and agricultural areas exposed to climate hazards in 2040.
By 2040, we project the number of people exposed to damaging floods will rise from 2.2 billion to 3.6 billion people, or from 28% to 41% of the global population. Roughly $78 trillion, equivalent to about 57% of the world’s current GDP, will be exposed to flooding.
Over 25% of the world’s population in 2040 could be in areas where the frequency and severity of hot days far exceeds local historical extremes, with negative implications for human health, labor productivity, and agriculture. In some areas of Latin America, climate change will expose 80-100% of agriculture to increased heat stress in 2040
By 2040, we estimate over a third of today’s agricultural area will be subject to high water stress. In Africa, over 125 million people and over 35 million hectares of agriculture will be exposed to increased water stress, threatening regional food security.
By 2040, nearly a third of the world’s population may live in areas where the meteorological conditions and vegetative fuel availability would allow for wildfires to spread if ignited.
Over half of the population in the most exposed small island developing nations are exposed to either cyclones or coastal flooding amplified by sea level rise. In the United States and China alone, over $10 trillion worth of GDP (PPP) is exposed to hurricanes and typhoons.
August 6, 2020 – Four Twenty Seven Report. Wildfires are complex physical phenomena that come at extraordinary costs to human and natural systems. Climate change is already making wildfires more severe and this new research finds that it will lead to more days with high wildfire potential in areas already prone to wildfires, and create hotter and drier conditions that will expose entirely new areas. Understanding which areas are exposed to changing wildfire conditions will help leaders in government, finance and public health to mitigate catastrophic loss. This report explores Four Twenty Seven’s new methodology for assessing global wildfire potential, identifying regional trends and hot spots.
The 2019-2020 Australian bushfires raged for seven months, killed more than 30 people, hospitalized thousands more, and burned more than 10 million hectares of land. While the full financial and ecological impact is still unknown, costs from those fires are likely to exceed $4.4 billion.Meanwhile, ten of the largest wildfires in Arizona’s history occurred in the last eight years and nine of California’s largest wildfires occurred in just the last seven years.
Beyond direct losses and disruption from damage to buildings and infrastructure, air pollution from wildfires has led to healthcare costs in excess of $100 billion in losses per year in the United States.Leaders in government, finance, and public health need to understand how and where climate change will further heighten wildfire potential because of the serious threat wildfires pose to societies, economies, and natural systems.
This new report, Climate Change and Wildfires: Projecting Future Wildfire Potential, outlines Four Twenty Seven’s approach to quantifying global wildfire potential, capturing both absolute and relative changes in frequency and severity by 2030-2040. Wildfire potential refers to meteorological conditions and vegetative fuel sources that are conducive to wildfires. Using a proprietary methodology submitted for peer review, our analytics link climate drivers such as changing temperature and precipitation patterns with the availability of vegetative fuels to assess wildfire potential in the future.
The analysis also explores key regions exposed to increasing wildfire potential and discusses the implications for financial stakeholders and communities. Our analytics affirm common understanding about locations exposed to wildfire, providing an indication of the increasing severity and frequency of wildfires in areas already prone to these events. The report also offers insight into areas that may have less obvious exposure, but are likely to have higher wildfire potential over time. Preparing for wildfires is a local, and often regional effort. The relatively high spatial granularity of our results (~25 kilometers) enables decision-makers to evaluate wildfire potential at a useful scale.
Four Twenty Seven developed a first-of-its-kind global dataset projecting changes to wildfire potential under a changing climate, at a granularity of about 25 x 25 kilometers.
In areas already exposed to wildfires, by 2030-2040 climate change will prolong wildfire seasons, adding up to three months of days with high wildfire potential in Western Australia, over two months in regions of northern California and a month in European countries including Spain, Portugal and Greece.
New wildfire risks will emerge in historically wet and cool regions, such as Siberia, which is projected to have 20 more days of high wildfire potential in 2030-2040.
Globally, western portions of the Amazon and Southeast Asia will experience the largest relative increases in wildfire severity, further threatening crucial biodiversity hotspots and carbon sinks.
Confronting this new risk will take unprecedented resources and new approaches in regions not familiar with wildfires and worsening wildfire seasons will continue to threaten already limited resources in currently exposed areas.
 Cohen, Li, “Australian bushfire smoke killed more people than the fires did, study says,” CBS News, March 20, 2020, https://www.cbsnews.com/news/australia-fires-bushfire-smoke-killed-more-people-than-the-fires-did-study-says/.
 Rodway, Nick, “‘We are a ghost town’: Counting the cost of Australia’s bushfires,” Aljazeera, January 27, 2020, https://www.aljazeera.com/ajimpact/ghost-town-counting-cost-australias-bushfires-200127035021168.html.
 Ben Butler, “Economic Impact of Australia’s Bushfires Set to Exceed $4.4bn Cost of Black Saturday,” The Guardian, January 7, 2020, https://www.theguardian.com/australia-news/2020/jan/08/economic-impact-of-australias-bushfires-set-to-exceed-44bn-cost-of-black-saturday.
 Cappucci, Matthew and Freedman, Andrew, “Arizona wildfires grow as flames flicker throughout Desert Southwest and California,” The Washington Post, June 22, 2020, https://www.washingtonpost.com/weather/2020/06/22/arizona-wildfires-grow-flames-flicker-throughout-desert-southwest-california/
 Fann N., Alman B., Broome R. A., Morgan G. G., Johnston F. H., Pouliot G., & Rappold A. G., “The health impacts and economic value of wildland fire episodes in the U.S.: 2008-2012,” The Science of the Total Environment, 2018.
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.
Quantifying climate risks under different scenarios is a key element in understanding how physical climate risks pose financial risks.
Scenario analysis is often approached from the perspective of transition risk, where policy developments and greenhouse gas emission targets are the key drivers of risk pathways in the next 10 to 30 years. However, physical climate impacts over the coming decades are largely locked in, so physical risk requires a different approach.
Even if we stopped emitting carbon dioxide tomorrow, many physical climate impacts, such as increasing temperatures, more severe droughts, and rising sea levels, would already be locked in because of the time carbon dioxide stays in the atmosphere and the time it takes the atmosphere to respond.
The uncertainty in how physical climate risks may manifest in the next few decades is driven by model uncertainty, which should therefore be the focus of scenario analysis for physical climate risks in the near-term.
Percentile-based analysis offers a flexible, data-driven approach, suitable for portfolio-level screenings, reporting, and in some cases, direct engagement with asset managers.
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 Science: Uncertainties and Relevant Time Frames
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.
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.
OCTOBER 11, 2018 – BOSTON, MA – Four Twenty Seven & GeoPhy Release First Global Dataset on Real Estate Investment Trusts’ Exposure to Climate Change.
Four Twenty Seven and real estate technology company GeoPhy today announce the release of a data product that provides granular projections of the impacts of climate change on real estate investment trusts (REITs). REITs represent an increasingly important asset class that provides investors with a vehicle for gaining exposure to portfolios of real estate. The data was launched at the Urban Land Institute Fall Event in Boston, MA, accompanied by a white paper that lays out the implications of climate risk for the real estate sector.
Four Twenty Seven applied its scoring model of asset-level climate risk exposure to GeoPhy’s database of listed real estate investment trusts’ (REITs) holdings, to create the first global, scientific assessment of REITs’ exposure to climate risk. The dataset includes detailed, contextualized projections of climate impacts from floods due to extreme precipitation and sea level rise, exposure to hurricane-force winds, water stress and heat stress for over 73,500 properties owned by 321 listed REITs.
“Real estate is on the frontline of exposure to climate change” said Emilie Mazzacurati, founder and CEO of Four Twenty Seven. “Many valuable locations and markets are often coastal or near bodies of water, and therefore are going to experience increases in flood occurrences due to increases in extreme rainfall and to sea level rise.” she noted. “These risks can now be assessed with great precision — the availability of this data provides investors with an opportunity to perform comprehensive due diligence which reflects all dimensions of emerging risks.” she concluded.
“The market has begun to price in the potential impacts of fat-tail climate events” noted Dr. Nils Kok, Chief Economist of GeoPhy. “Properties exposed to sea level rise in some parts of the United States are selling at a 7% discount to those with less exposure, and the value of commercial real estate is expected to equally reflect these risks. Leveraging forward-looking data on risk exposure can allow REIT investors to anticipate changes in market valuations and react accordingly.”
35 percent of REITs properties globally are currently exposed to climate hazards. Of these, 17 percent of properties are exposed to inland flood risk, 6 percent to sea level rise and coastal floods, and 12 percent to hurricanes or typhoons
U.S. markets most exposed to sea level rise include New York, San Francisco, Miami, Fort Lauderdale, and Boston. The high-value REITs most exposed to sea level rise in the U.S. are Vornado Realty Trust and Equity Residential.*
Globally, REITs concentrated in Hong Kong and Singapore display the highest exposure to rising seas. Sun Hung Kai Properties, worth $56 billion, has over a quarter of its properties exposed to coastal flooding.
37 Japanese REITs have their entire portfolio exposed to the highest risk for typhoon globally, representing $264.5 billion at risk in properties in Tokyo and other Japanese cities.
*Erratum: A previous version of this blog post mentioned in error that CapitaLand is one of the U.S. REITs most exposed to sea level rise. CapitaLand is a Singapore-based REIT with some exposure to sea level rise but it is not among the most exposed.
June 25, 2018 – 427 REPORT. Regulatory pressure and financial damage are necessitating an increase in physical climate risk disclosure in Australia. In exercising their own due diligence and assessing the exposure to physical climate risks in their portfolios, investors arm themselves with valuable information on corporate risk exposure which they can leverage to engage with companies around resilience. This report explores the connection between climate hazards and financial risks and shares examples of corporate adaptation and investor engagement to build resilience.
The global tide of interest in the Task Force on Climate-related Financial Disclosures (TCFD) has hit the shores of Australian financial markets, steered by regulators concerned about the systemic risk climate change poses to the economy. In 2017 Australian Prudential Regulation Authority’s Geoff Summerhayes was the first Australian regulator to formally endorse the TCFD. “Some climate risks are distinctly ‘financial’ in nature. Many of these risks are foreseeable, material and actionable now,” he said. This sentiment was echoed by John Price of the Australian Securities and Investments Commission in 2018 and reflects growing regulatory concern over climate risk disclosure internationally, as shown by Article 173 of France’s Law on Energy Transition and Green Growth and the 2018 European Commission Action Plan.
This Four Twenty Seven Report, Responding to Economic Climate Risk in Australia, explores the drivers of financial risk in Australia and discusses approaches to addressing this risk. The nation’s dominant industries are particularly threatened by the prevalent climate hazards. For investors, understanding a company’s risk to climate change is an essential first step to mitigating portfolio risk, but must be followed by corporate engagement to build resilience. Institutional investors are increasingly leveraging shareholder resolutions and direct engagement to prompt companies to disclose their climate risks and adapt.
Australia’s “Angry Summer” of extreme weather in 2013 cost the economy $8 billion and was followed by another summer of extremes in 2016-2017.
Construction, mining and manufacturing constitute almost 20 percent of Australia’s economy and are highly vulnerable to heat stress and water stress, which threaten large swaths of the nation.
Boral Limited and Rio Tinto are both Materials companies exposed to water and heat stress in their operations, but they have different risk scores stemming from differing vulnerabilities in their markets and supply chains.
Engagement on climate is relatively new for Australian shareholders, but is gaining momentum, with institutional asset managers voting on several climate risk disclosure resolutions in 2018.
Investors can address physical climate risk by reviewing their asset allocations, disclosing their own risks, investing in new opportunities and engaging with corporations.