The research, published in Nature Climate Change, addresses a long-standing challenge in climate communication. IPCC assessment reports contain an enormous body of evidence on climate processes, impacts, vulnerability, adaptation, and mitigation, but these areas are often presented in separate sections and at different levels of analysis. A policymaker assessing flood protection, for example, may need to navigate information about extreme precipitation, sea-level rise, exposure, infrastructure vulnerability, urban development, and adaptation limits across multiple chapters and reports. The new taxonomy offers a common structure for bringing those elements together, creating a direct pathway from a changing climate variable to a specific risk and then to possible responses.

At the center of the framework are the 35 climatic impact-drivers identified by the IPCC. These drivers describe physical changes in the climate system that can affect natural and human systems. They include gradual trends, such as increasing average temperatures, ocean warming, sea-level rise, and changes in precipitation, as well as extreme events, including heatwaves, intense rainfall, floods, droughts, wildfires, and tropical cyclones. By organizing these drivers systematically, the taxonomy helps users distinguish between the underlying climate signal and the consequences that emerge when that signal interacts with ecosystems, infrastructure, economies, and communities.

The taxonomy then links the climatic impact-drivers to eight representative key risks recognized in IPCC science. These risks encompass threats to ecosystems, human health and wellbeing, food and water security, infrastructure and critical services, cities and settlements, and other systems essential to society. The connections are not simply a list of hazards. Each one reflects a chain of cause and effect: a physical climate change can alter environmental conditions, those changes can affect an exposed system, and vulnerability can determine whether the result becomes a serious risk. The framework therefore provides a way to understand why the same hazard can produce very different outcomes in different places.

Each driver-risk connection is supplemented with information intended for practical use. The entries identify the scale at which impacts are likely to occur, the sectors or systems affected, examples of adaptation responses, and relevant links to mitigation. They also point users toward the IPCC chapters where the underlying scientific evidence is discussed. This design allows the taxonomy to function as both a navigation system and a knowledge map. A user interested in extreme heat and human health, for instance, could identify the relevant risk, examine the populations and systems most exposed, review adaptation options such as heat-health warning systems or urban cooling measures, and trace the information back to the scientific literature.

“This work is less about producing new climate science and more about making existing information actionable,” says lead author Michaela Werning, a researcher in the IIASA Energy, Climate, and Environment Program. She explains that the complexity and scope of IPCC reports can make them difficult to navigate, particularly for users who need to make decisions rather than conduct a comprehensive scientific review. By directly linking measurable climatic impact-drivers with risks and possible responses, the taxonomy is intended to provide a more accessible entry point without separating practical guidance from the scientific assessments on which it is based.

The analysis reveals several important patterns in the global landscape of climate risk. More than half of the hazard-risk combinations compiled by the researchers primarily unfold at regional scales. This finding highlights why climate impacts cannot be understood solely through global averages. Regional geography, infrastructure, ecosystems, socioeconomic conditions, and patterns of exposure can strongly influence the consequences of a given climatic change. A heatwave may intensify health risks in a densely populated city with limited green space, while drought may threaten food production in one region and hydropower generation in another. The regional emphasis also reinforces the need for adaptation strategies tailored to local conditions rather than copied uniformly across countries.

The taxonomy further shows an almost even division between gradual climate changes and extreme events. This balance challenges the tendency to associate climate adaptation mainly with disasters that arrive suddenly and visibly. Extreme heat, floods, storms, and fires require emergency preparedness and rapid response, but long-term changes in temperature, precipitation, sea level, and ecosystem conditions can quietly reshape risks over decades. Communities must therefore invest in both immediate resilience and long-range planning. Building codes, water management systems, agricultural practices, land-use decisions, health services, and infrastructure investments may need to account for climate conditions that are steadily moving beyond the range experienced in the past.

The timing of risk escalation provides another warning. Just under half of the driver-risk combinations assessed in the taxonomy are expected to reach high levels of risk at approximately 1.5°C of global warming, while a similar share reaches high risk only beyond 2°C. These thresholds are not universal tipping points; risk develops along different pathways depending on the hazard, location, exposure, vulnerability, and capacity to adapt. Nevertheless, the pattern demonstrates why mitigation and adaptation cannot be treated as alternatives. Rapid reductions in greenhouse gas emissions can limit the magnitude of future climate change, while adaptation can reduce the damage associated with impacts that are already unavoidable or worsening. The framework also identifies areas where evidence remains limited, helping researchers prioritize future studies and improve the reliability of climate-risk assessments.

The authors envision the taxonomy being used by climate service providers, adaptation planners, policymakers, and scientists. It could support customized risk dashboards, help planners compare response options, and clarify how emission reductions influence future risks across sectors. Its developers stress that the current version is a prototype and that its value will depend on continued testing, feedback, and refinement by both researchers and practitioners. “No single team has the expertise to cover the full breadth of climate impacts on its own,” says coauthor Alexander Nauels, a senior research scholar in IIASA’s Integrated Climate Impacts Research Group. The team is inviting users to challenge and improve the framework so that it can evolve into a shared language for climate action. As climate impacts become more frequent and decisions must be made under increasing uncertainty, that common language could help close one of the most important gaps in climate science: the distance between knowing what is happening and knowing what to do next.

Subject of Research: A climate impact taxonomy linking IPCC climatic impact-drivers, representative key risks, adaptation options, mitigation links, affected systems, and relevant scientific evidence.

Article Title: A climate impact taxonomy operationalizing IPCC physical driver and risk concepts

Web References: https://www.nature.com/articles/s41558-026-02717-7; https://www.iiasa.ac.at

References: Werning, M., Byers, E., Andrijevic, M., Schleussner, C.-F., Monteith, S., Aldrete Lopez, L., Lemaire, V., Matsumae, E., Thomas, A., and Nauels, A. (2026). “A climate impact taxonomy operationalizing IPCC physical driver and risk concepts.” Nature Climate Change. DOI: 10.1038/S41558-026-02717-7

Keywords: climate change, climate impacts, climate risks, adaptation, mitigation, IPCC, climatic impact-drivers, extreme heat, floods, drought, wildfire, sea-level rise, climate science, climate policy, resilience, climate services

The research illuminates how companies face physical risks, such as damage to production infrastructure and supply chain breakdowns triggered by escalating extreme weather events. These physical disturbances have had a profound economic impact globally, with 2023 alone witnessing climate disasters inflicting direct financial losses exceeding $300 billion. Yet, physical risks only paint part of the picture; the study delves into transition risks that emerge from evolving regulatory landscapes, specifically policies designed to achieve carbon neutrality. The European Union’s Carbon Border Adjustment Mechanism (CBAM), for example, has considerably increased operating costs for Chinese exporters by an estimated 12 to 15 billion Chinese Yuan annually, while rapid technological advancements accelerate the depreciation of legacy industrial equipment.

Beyond tangible physical and transition threats lies a subtler but equally powerful force: perception risks. These derive from media narratives, financial transparency, and social network data, all shaping public and investor sentiment. The study quantifies this influence, revealing a correlation wherein a 10% rise in negative climate-related news coverage corresponds to a 2.3% increase in stock price volatility within affected sectors. This insight underscores the profound impact that information flows and stakeholder perceptions have on corporate valuation and risk exposure.

Despite acknowledgment of these multifaceted risks, current corporate risk assessments and management techniques remain notably fragmented. The researchers demonstrate that prevailing methodologies cover fewer than 42% of the interaction mechanisms between physical, transition, and perception risks. This fragmentation restricts companies’ ability to grasp interconnected risk dynamics, leading to misaligned strategies and unexpected financial repercussions. In response, the study introduces a systematic integrative framework that cohesively evaluates these risk categories, enhancing firms’ comprehensive understanding and strategic foresight.

Implementing such an integrated risk management approach yields significant financial resilience. The study’s findings indicate that enterprises improving their climate risk management capabilities can curtail climate-induced economic volatility by between 23% and 37%. Moreover, establishing risk-sharing mechanisms within supply chains mitigates indirect losses by 12% to 18%. Enhanced transparency in environmental and climate-related disclosures further stabilizes financial markets, demonstrated by a marked 2.3% reduction in stock price fluctuations.

At the macroeconomic scale, national and policy-level adjustments amplify corporate risk mitigation outcomes. For instance, increasing transparency in low-carbon policy frameworks can substantially reduce compliance burdens for export-heavy industries, sparing firms costs upward of 12 to 15 billion Chinese Yuan annually. Complementary investments targeting technological innovation and disaster prevention bolster supply chain robustness, with every 1% rise in such investments cutting the probability of disruptive events by 0.8%.

From a valuation perspective, firms utilizing this holistic framework enjoy a 15.6% premium in market valuation, suggesting that investors reward integrated climate risk awareness and management. Conversely, companies neglecting Scope 3 emissions—those indirectly linked through supply chain and product lifecycle impacts—not only underestimate transition costs by as much as 45% but also risk substantial financial and reputational setbacks.

The study’s senior author, Professor Jun Bi of Nanjing University, emphasizes future research avenues that promise to deepen understanding and predictive accuracy of corporate climate risk. These include developing composite assessment systems that incorporate network analyses of supply chain vulnerabilities, where risk transmission efficiency surges by 58% when node dependencies exceed certain thresholds. The integration of machine learning and complex network methodologies could elevate predictive precision to an impressive 89.2%, enabling dynamic and coupled assessments of intertwined risks.

This novel framework also significantly advances the comparability and strategic decision-making efficacy for firms. Horizontal comparability of risk analyses improves by 67%, facilitating benchmarking and shared learning across industries. Equally, decision effectiveness increases by 41%, equipping business leaders with more actionable intelligence to navigate an increasingly uncertain climate future.

Beyond its immediate corporate implications, this research proffers critical insights for global climate governance. The framework’s scientific rigor and practical orientation offer policymakers and environmental regulators a powerful tool to align regulatory frameworks with enterprise realities, fostering more resilient economies and sustainable development pathways. Transparency, integrative methodologies, and collaborative risk sharing emerge as keystones for future-proof climate adaptation in the private sector.

As climate risks continue to unfold at accelerating pace and scale, bridging the gap between fragmented assessments and integrated management becomes vital. This study’s contributions mark a substantial leap forward in the theory and application of climate risk evaluation, highlighting the indispensable role of interdisciplinary approaches and advanced analytics. Corporate entities adopting these insights will likely lead in both sustainability performance and financial robustness.

The research team behind this study comprises leading scholars from Nanjing University, including Distinguished Changjiang Scholar Professor Jun Bi, Assistant Professor Jianxun Yang, and Associate Professors Zongwei Ma and Miaomiao Liu. Their collective expertise merges environmental science, risk analytics, and data-driven methodologies, reinforcing the study’s multidisciplinary strength and policy relevance.

KeAi Publishing, the journal’s publisher, facilitates global dissemination of such pivotal research through open-access model, promoting cross-disciplinary dialogue and accelerating innovation in climate risk sciences. Supported by the National Natural Science Foundation of China, this work exemplifies the growing momentum to develop scientifically rigorous yet pragmatically applicable solutions to one of the 21st century’s most daunting challenges.

In sum, this pioneering firm-level climate risk assessment framework not only reveals the intricate realities of how risks interlace in corporate contexts but also charts a forward-looking agenda for research and practice. Its advanced analytical tools and holistic perspective are poised to become a cornerstone in the evolving architecture of climate-resilient economies worldwide.

Subject of Research: Not applicable
Article Title: Firm-level climate risk assessment: Recent progress and future research agenda.
Web References: https://www.sciencedirect.com/science/article/pii/S2950629825000025
References:
Bi, J., Yang, J., Ma, Z., Fang, W., Liu, M. (2025). Firm-level climate risk assessment: Recent progress and future research agenda. Risk Sciences. DOI: 10.1016/j.risk.2025.100012
Image Credits: Zhao, Z. et al.
Keywords: Economics, Earth sciences