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Since the launch of the Science Based Targets initiative (SBTi), we have witnessed a steady increase in the number of companies committing to climate targets for large-scale reduction of greenhouse gas (GHG) emissions. While recent studies present various methodologies for establishing climate targets (e.g., sectoral decarbonization approach, near-term, long-term, net zero), we still don’t understand the explanatory factors determining the level of ambition companies demonstrate in target setting. In this paper, a two-stage qualitative study is conducted with a sample of 22 companies from five countries. First, these companies’ publicly disclosed climate targets are evaluated according to four target ambition criteria: target type, scope, timeframe, and temperature alignment. Secondly, multiple explanatory factors for target setting were identified during the content analysis of the interviews to see how present these factors appear in the ambition levels. Within companies with highly ambitious climate targets, the findings indicate that certain factors are highly present, including leadership engagement, continual management support, employee involvement, participation in climate initiatives, and stakeholder collaboration. Conversely, none of these key factors are highly present in companies with less ambitious climate targets. Rather, these companies strongly identify the initiating factors of market-related pressures and non-market stakeholder influence as being the driving forces behind their target setting. This paper contributes to the literature on corporate responses to climate change by expanding our understanding of explanatory factors for different corporate climate target ambition levels. [ABSTRACT FROM AUTHOR]

The Tibetan Plateau (TP), the Third Pole of the world, has experienced significant warming over the past several decades. Previous studies have mostly relied on station-observed air temperature (Ta), reanalysis data, and remotely sensed land surface temperature (LST) to analyze the warming trend over the TP. However, the uneven distribution of stations, the poor spatial resolution of reanalysis data, and the differences between LST and Ta may lead to biased warming rates. This paper first maps Ta over the TP from 2001 to 2020 based on multi-source remote sensing data, and then quantifies the spatio-temporal variations of remotely sensed Ta and elevation dependent warming (EDW) of this region. The monthly mean Ta is estimated using machine learning (ML) method year by year, and its accuracy is validated based on station-observed Ta. The coefficient of determination (R2 ranges from 0.97 to 0.98 and the mean absolute error (MAE) ranges from 1.01 to1.04 °C. The remotely sensed Ta is used to analysis warming trend and EDW over the TP. The overall warming trend of the TP during 2001–2020 is 0.17 ℃/10a, and warming mainly distributed in the eastern TP, central TP and western Kunlun Mountains. Among the four seasons, autumn shows the most significant warming, tripling the annual warming rate. Winter shows a significant cooling trend, with the warming rate of -0.18 ℃/10a. The study also reveales the existence of EDW at both the annual and seasonal scales. This paper suggests the potential of remotely sensed Ta in global warming study, and also provides an improved understanding of climate warming over the TP. [ABSTRACT FROM AUTHOR]

The politicization of climate change and the difficulty of achieving multi-level or sectoral stakeholder coordination are common institutional barriers to effective climate change adaptation governance outcomes. In the U.S., quasi-government organizations (QGOs) were designed to overcome such barriers, albeit traditionally for non-climatic purposes. This study’s objective is to illustrate how the design characteristics of QGOs may be useful for overcoming the above climate adaptation barriers. Methodologically, this paper analyzes six case studies, selected to illustrate the major characteristics of QGOs, of climate-focused and non climate-focused QGOs at the sub-national level in the U.S. Non climate-focused examples are included for comparison with, and to supplement, the limited number of QGOs currently working on climate efforts. For each case, this study focuses on eight design characteristics: seven that represent measures of political and financial independence, and one focused on board composition, to illustrate the extent to which QGOs enable multi-level and multi-sectoral stakeholder coordination. This study finds that among the assortment of existing QGO designs some are particularly well suited to overcoming either the politicization of climate adaptation policy or obstacles to enhancing policy coordination, while some reduce both, albeit to a lesser extent. Broadly, this paper concludes that QGOs can strengthen effective action by depoliticizing informational sources and fostering cross scale coordination of planning and implementation. [ABSTRACT FROM AUTHOR]

Today, a major challenge for climate science is to overcome what is called the “usability gap” between the projections derived fromclimate models and the needs of the end-users. Regional Climate Models (RCMs) are expected to provide usable information concerning a variety of impacts and for a wide range of end-users. It is often assumed that the development of more accurate, more complex RCMs with higher spatial resolution should bring process understanding and better local projections, thus overcoming the usability gap. In this paper, I rather assume that the credibility of climate information should be pursued together with two other criteria of usability, which are salience and legitimacy. Based on the Swiss climate change scenarios, I study the attempts at meeting the needs of end-users and outline the trade-off modellers and users have to face with respect to the cascade of uncertainty. A conclusion of this paper is that the trade-off between salience and credibility sets the conditions under which RCMs can be deemed adequate for the purposes of addressing the needs of end-users and gearing the communication of the projections toward direct use and action. [ABSTRACT FROM AUTHOR]

This paper presents a methodology for developing a social Cumulative Effects Assessment (CEA) which analyses the impacts of climate change on maritime crime and maritime insecurities. The use of a CEA methodology, including the use of the Effect to Impact Pathway will enable mapping the relationships between certain ‘Activities’ (e.g. human-induced emissions of greenhouse gasses), the ‘Pressure’ engendered (e.g. warming sea temperatures) and their ‘Impacts’ (e.g. food shortages) via ‘Receptors’ (e.g. fishing communities) on specific sectors of society (in this case maritime migration and maritime crime, e.g. illegal fishing). This paper provides a Proof of Concept (PoC) for using such a methodology and shows the applicability of a multidisciplinary approach in understanding causal chains. In this PoC, the authors are generating a Non-Geographic Assessment Map that investigates the ‘Impacts’ that the human-induced greenhouse gas emissions have on maritime security. The proposed analytical tool can then be applied in further studies to assess the dependencies and synergies between climate change and the occurrence of maritime insecurity. [ABSTRACT FROM AUTHOR]

The continuing effects of climate change require farmers and growers to have greater understanding of how these changes affect crop production. However, while climatic data is generally available to help provide much of that understanding, it can often be in a form not easy to digest. The proposed Combined Location Online Weather Data (CLOWD) framework is an easy-to-use online platform for analysing recent and historical weather data of any location within Australia at the click of a map. CLOWD requires no programming skills and operates in any HTML5 web browser on PC and mobile devices. It enables comparison between current and previous growing seasons over a range of environmental parameters, and can create a plain-English PDF report for offline use, using natural language generation (NLG). This paper details the platform, the design decisions taken and outlines how farmers and growers can use CLOWD to better understand current growing conditions. Prototypes of CLOWD are now online for PCs and smartphones. [ABSTRACT FROM AUTHOR]

Climate adaptation for Indigenous communities is not as simple as making good policy; it is equally about how policy is implemented and how collaboration unfolds between settler governments and Indigenous stakeholders. Rural Alaska Native villages are among the most environmentally threatened communities in the United States. Their ability to effectively manage environmental change and preserve sovereignty depends upon successful collaboration with a range of stakeholders, especially federal agencies. For more than two decades, academics and government agencies have documented a consistent pattern of failures, particularly by federal actors, to effectively manage adaptation challenges. These obstacles are sometimes misrepresented as policy failures. While poor policy is certainly involved in these poor outcomes, this paper highlights a set of barriers to successful collaboration that are not policy issues, per se, but rather micropolitical issues; that is, they pertain to the conduct of government in the context of Tribal relationships. Unaddressed, these micropolitical issues have created obstacles to Alaska Native communities' self-determination as they adapt to a changing landscape. These barriers are explored in a case study drawn from Typhoon Merbok, which struck Western Alaska in 2022, and empirically grounded in a series of interviews and participant observation with experts, elders, elected officials, and Tribal staff. This article concludes with several concrete recommendations to improve the practice of domestic diplomacy between Indigenous communities and colonial governments. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic challenged global governance in unprecedented ways by requiring intergovernmental meetings to be held online. For the Intergovernmental Panel on Climate Change (IPCC), this meant that the intergovernmental approval of the key findings of the Sixth Assessment Report (AR6) had to be conducted virtually. In this paper, we assess how the move away from face-to-face meetings affected country participation in IPCC approval sessions. Our findings demonstrate that virtual meetings increased the size of member governments’ delegations, but this did not necessarily translate into a greater number of interventions during the approval of the Summary for Policymakers (SPM) as time zone differences reduced engagement levels significantly—particularly for countries from the Pacific, East Asian, and Latin American regions whose delegations often found themselves in IPCC meetings late at night and early in the morning. These results offer initial, empirically robust evidence about what online meetings can and cannot achieve for promoting more inclusive global governance at a time when the IPCC and other organizations reflect on the future use of virtual and hybrid meeting formats. [ABSTRACT FROM AUTHOR]

This paper examines how rising temperatures impact the agricultural production value of Thai farmers, compares potential adaptation strategies like agricultural diversification, and analyzes future projections based on IPCC AR6 scenarios. We analyze nationally representative socioeconomic survey data from farm households alongside ERA5 weather data, utilizing econometric regression analysis. Our analysis reveals that higher temperatures lead to a reduction in agricultural output value, with the situation expected to worsen as global warming progresses. Furthermore, we find that households with diversified production practices, such as a variety of agricultural activities or multicropping, exhibit a greater capacity to adapt to rising temperatures. These findings substantiate the importance of the country’s policies promoting integrated farming and diversified crop-mix strategies. [ABSTRACT FROM AUTHOR]

In a world of increasing pressures from climate change, water utilities need to maintain—or even improve—their ability to continue provision safe and secure water supply. To ensure capacity in service delivery, some providers have embraced different forms of interlocal collaboration. Yet, such interdependence engenders risk, thus driving some collaborating providers to enter into contractual agreements. While these agreements can reduce risk, but new complexities may still arise, especially when the agreement is capital intense and physically constrained. This study asks: i) How does perceived risk of from external climate-related pressures to public service provision affect preferences for the future of current contractual agreements? and ii) how do local efforts to offset need for collaboration shape these future preferences? This study examines how beliefs and local strategies (i.e., technical, managerial, or programmatic advances) affect contract preferences among community water systems linked through interlocal agreements. The paper discusses insights about ways ontological beliefs may shape operational decisions specific to interlocal collaboration and the potential for consolidation of water service operations. [ABSTRACT FROM AUTHOR]

Water resources managers face decisions related to building new infrastructure to increase water system resilience to climate and demand changes. To inform this adaptation planning process, current decision-making methods commonly use scenario approaches to estimate the benefit of adaptation options. While effective, these new analyses require communication of complicated findings to often nontechnical audiences. This paper introduces a pragmatic approach that uses the results from a bottom-up assessment of vulnerability of the water system with future climate projection-based probabilities of climate change to select a single planning scenario that encapsulates the decision-makers’ chosen level of robustness for their system. Contrary to typical implementation of option analysis under deep climate uncertainty, the proposed pragmatic approach does not require the analyst to evaluate each portfolio of adaptation options against all possible states of the world, significantly reducing the required computational costs and communication challenges. It also aligns with the planning scenario approach used in practice by water utilities. The modeling framework is illustrated for the regional water system operated by the San Francisco Public Utilities Commission (California, United States) for which changes in average temperature, precipitation and urban demand are considered. [ABSTRACT FROM AUTHOR]

The Dingwu Great Famine (DGF) is considered to be the worst drought in China over the past 300 years. How the central government took steps to cope with the catastrophe during this period and ultimately survived deserves in-depth study. This paper collects the official records during the DGF and uses textual analysis and statistical methods to explore the responses carried by the central government. We found that 21 measures in 7 categories had been taken in response to this extreme drought, with political, economic, and cultural responses being the most commonly used. The governmental responses during DGF can be divided into three phases and had a significant “mismatch” (6 months lagging behind) compared with the meteorological process, which may be related to the higher social robustness in the early period. The 7 categories can be further clustered into 3 types based on their time-series performance. The first type includes economic, material, and political responses, which were aimed at responding to the drought impacts and reducing social losses more quickly and played the role of a “quick effect drug” for society. The second type includes agricultural and engineering, and population responses, which mitigated the drought impacts through “after-effects” measures and played the role of “slow-release drug”. The third type is the cultural response, which acted like a “placebo”. It did not help to mitigate the drought but alleviated the dissatisfaction of the refugees by shaping the spiritual objects (rain gods), thus maintaining social stability. [ABSTRACT FROM AUTHOR]

This paper analyzes the effectiveness of agriculture-led versus non-agriculture-led development strategies under climate-induced economic uncertainty. Utilizing Malawi as a case study, we introduce the application of Stochastic Dominance (SD) analysis, a tool from decision analysis theory, and compare the two strategies in the context of weather/climate-associated economic uncertainty. Our findings suggest that an agriculture-led development strategy consistently surpasses its non-agriculture-led antagonist in poverty and undernourishment outcomes across almost all possible weather/climate scenarios. This underscores that, despite increasing exposure of the entire economy to weather/climate uncertainty, agriculture-led development remains the optimal strategy for Malawi to reduce poverty and undernourishment. The study also endorses the broader use of SD analysis in policy planning studies, promoting its potential to integrate risk and uncertainty into policymaking. [ABSTRACT FROM AUTHOR]

The Paris Agreement created an institutionalized role for non-state actors through voluntary cooperation. Many international NGOs (INGOs) are particularly active in these "Paris partnerships," often working with multinational corporations to reduce emissions and promote decarbonization. Though there is ample work on both the effectiveness of the Paris partnerships and on the role of INGOs in the global climate regime, much of this work focuses "outward" – on how INGOs contribute to climate mitigation and adaptation, or influence norms, discourse and policy. Yet, there is considerably less work that focuses "inward" – examining who INGOs work with in order to achieve their policy goals. This paper provides a descriptive analysis of key INGOs in the United Nations Framework Convention on Climate Change (UNFCCC) process, as a first step in a larger research agenda to understand the incentives and opportunities that drive INGO behavior. Specifically, it uses network analysis to identify the "climate establishment" – which I define as the insider INGOs working within the multilateral process and with large corporations to influence rulemaking, soft law and firm behavior. Measures of network centrality demonstrate that two INGOs – WWF and the World Resources Institute – are by far, the most authoritative members of the climate establishment. They participate in the largest number of partnerships, and have "important" friends, as measured by eigenvector centrality. The data also indicate that the climate establishment sees carbon pricing as a key strategy, and it often cooperates with banks that are large funders of fossil fuel projects. The descriptive analysis of the climate establishment and its partners raises important questions for future research about why INGOs choose to partner with F100 companies, and how such cooperation might influence INGO behavior. [ABSTRACT FROM AUTHOR]

We study the impact of recent global warming on extreme climatic events in Central Asia (CA) for 1901-2019 by comparing the composite representation of the observational climate with a hypothetical counterfactual one that does not include the long-term global warming trend. The counterfactual climate data are produced based on a simple detrending approach, using the global mean temperature (GMT) as the independent variable and removing the long-term trends from the climate variables of the observational data. This trend elimination is independent of causality, and the day-to-day variability in the counterfactual climate remains preserved. The analysis done in the paper shows that the increase in frequency and magnitude of extreme temperature and precipitation events can be attributed to global warming. Specifically, the probability of experiencing a +7 K temperature anomaly event in CA increases by up to a factor of seven in some areas due to global warming. The analysis reveals a significant increase in heatwave occurrences in Central Asia, with the observational climate dataset GSWP3-W5E5 (later called also factual) showing more frequent and prolonged extreme heat events than hypothetical scenarios without global warming. This trend, evident in the disparity between factual and counterfactual data, underscores the critical impact of recent climatic changes on weather patterns, highlighting the urgent need for robust adaptation and mitigation strategies. Additionally, using the self-calibrated Palmer drought severity index (scPDSI), the sensitivity of dry and wet events to the coupled precipitation and temperature changes is analyzed. The areas under dry and wet conditions are enhanced under the observational climate compared to a counterfactual scenario, especially over the largest deserts in CA. The expansion of the dry regions aligns well with the pattern of desert development observed in CA in recent decades. [ABSTRACT FROM AUTHOR]

During extreme heat events (EHEs) the public often learns about health protective actions through the media. Visual news coverage can act as a powerful tool to help convey complex health protective actions to the public. Despite the importance of images in helping the public understand the risk, there has been no systematic analysis to assess what images have been used by media outlets in Canada during EHEs. This paper helps to fill that gap by analyzing how the Canadian media visually communicated the risks of extreme heat to the public during the unprecedented 2021 Heat Dome. A review of thousands of online news media articles published about the 2021 Heat Dome in Canada was conducted on five subscription news databases. Overall, 845 images were coded to identify denotative, connotative, and ideological content. Only 16% of these published images implied that heat was dangerous, of which only 40% depicted people, and 46% implied human suffering. Our findings demonstrate that the majority of images used in Canadian news coverage on the 2021 Heat Dome are incompatible with, and frequently contradict, evidence-based heat protective actions. Governments, public health agencies, and other stakeholders engaged in distributing heat preparedness messaging (e.g., journalists) should prioritize improving the images of extreme heat in news coverage to align with evidence-based public health messages. With rising global temperatures due to climate change and the associated increases in the frequency and intensity of extreme heat events, prioritizing these actions is critically important to offset the threat posed to public health. [ABSTRACT FROM AUTHOR]

Graduate students can face difficulties collaborating across disciplines and outside of academia. Stakeholder-engaged research (i.e., research involving partners outside of academia) presents challenges for developing a project, finding collaborators, and co-creating knowledge. Past reflections on how to navigate stakeholder-engaged research assume a faculty member leads the project and do not often address implementation from a student-led approach. In this paper, we provide insight on our team science process from an applied, graduate student perspective. We reflect on the formation of our student team and the implementation of a tourism planning research project with community partners. We discuss challenges and focus on practical tips to overcome these challenges. Specifically, we include reflections on co-developing a research project, building authentic partnerships, negotiating power dynamics, and the role of institutional support. Lessons learned from this project can guide other graduate student teams working with stakeholders, as well as faculty seeking to train graduate students in stakeholder-engaged research. [ABSTRACT FROM AUTHOR]

This paper examines various studies on weather and climate extreme events (WCEE) to identify thematic trends and research gaps and suggest directions for further studies. The review identifies 14 subthemes and 23 research focuses, that address impacts and issues in the pre-, during-, and post-disaster phases. Using a matrix of WCEE dimensionality and content matrix analysis, we analyze the distribution and research focus of these studies, revealing areas with both extensive and limited research. While significant literature exists on certain WCEE subthemes, with a strong focus on damage assessment, spatial extent, losses, and disaster management approaches, only a limited number of studies have explored crucial areas such as risk prediction, urban planning, water quality, urban resilience, and public health dimensions. These areas are vital for effective disaster risk reduction. To bridge the knowledge gaps in these areas and other areas with multi-dimensional outlooks within the context of WCEE, we recommend prioritizing research in these subthemes. Our findings underscore the importance of interdisciplinary collaboration and the need for additional research to enhance our understanding of WCEE. Through evidence-based strategies, policymakers and practitioners can develop measures to enhance resilience and mitigate the impacts of WCEE. [ABSTRACT FROM AUTHOR]

This paper attempts to analyze decoupling between CO2 emissions and income growth in the U.S. through the lens of Environmental Kuznets curve (EKC). Many states in the U.S. have achieved absolute decoupling in recent years, which means that CO2 emissions have decreased while the economy grows. This is partly due to the adoption of low-emission technologies, such as coal to gas switching, nuclear power, and economic restructuring towards a more sustainable economy. We argue that understanding decoupling is crucial to implement effective climate change policies. This study suggests that, after 2015, EKC has taken on the U-shaped form with many states currently located on the negatively sloped portion of the curve. It is not desirable as emissions may eventually begin to increase as the economy grows. To support this claim, we estimate panel fixed effects rolling-window EKCs using two-stage least square with two instrumental variables, unemployment rate and the trend variable. Empirical results show how the inverted U-shaped EKC has transformed into the U-shaped EKC in the U.S. This transformation is probably caused by the recent increases in emissions in transportation sector, strong electricity demand in recent years with cold winter seasons, reversals of eco-friendly energy policies, and manufacturers’ onshoring. Stakeholders should make efforts to transform the U-shaped EKC back to an inverted U-shaped EKC even in cases where absolute decoupling is observed. [ABSTRACT FROM AUTHOR]

Higher education institutions have a mandate to serve the public good, yet in many cases fail to adequately respond to the global climate crisis. The inability of academic institutions to commit to purposeful climate action through targeted research, education, outreach, and policy is due in large part to “capture” by special interests. Capture involves powerful minority interests that exert influence and derive benefits at the expense of a larger group or purpose. This paper makes a conceptual contribution to advance a framework of “academic capture” applied to the climate crisis in higher education institutions. Academic capture is the result of the three contributing factors of increasing financialization issues, influence of the fossil fuel industry, and reticence of university employees to challenge the status quo. The framework guides an empirical assessment evaluating eight activities and related indices of transparency and participation based on principles of climate justice and the growing democracy-climate nexus. The framework can be a helpful tool for citizens and academics to assess the potential for academic capture and capacity for more just and democratic methods of climate action in higher education. We conclude with a series of recommendations on how to refine and apply our framework and assessment in academic settings. Our goal is to further the discussion on academic capture and continue to develop tools that transform higher education institutions to places of deep democracy and innovative climate education, research, and outreach to meet the challenges of the Anthropocene. [ABSTRACT FROM AUTHOR]

Scientific knowledge is at the heart of discussions about climate change. However, it has been proposed that the apparent predominance of climate science in the societal debate should be reconsidered and that a more inclusive approach is warranted. Further, the introduction of new communication technology has made the information environment more fragmented, possibly endangering the quality of societal deliberation on climate change concerns. Using focus group methodology, this paper explores how climate scientists, climate journalists, and citizens perceive scientific experts’ mandate when they communicate publicly, the role of experiential knowledge in discussions of climate-related issues, and who the three actors prefer to guard the quality of the climate information exchanged in the public sphere. The findings show that scientific experts are perceived to carry a high degree of legitimacy, but only within their own narrow specialty, while experiential knowledge was seen as more useful in applied domains of science than in arcane research fields. In the new media landscape, journalists are still generally preferred as gatekeepers by all three actor types. [ABSTRACT FROM AUTHOR]

The widespread demand for animal-sourced foods poses challenges in addressing climate change due to their significant greenhouse gas emissions. Alternative proteins like cultured meat show promise with lower greenhouse gas emissions, but have faced public resistance, posing substantial barriers to their broad development and adoption. This paper reports a survey that examined the perceived naturalness of protein sources as an important factor that predicts perceived risks, benefits, and support for consumption. A diverse sample from the United States considered six different protein technologies, including three newer alternative proteins such as cultured meat and three more conventional proteins. Newer alternative proteins were perceived as less natural and were less supported than conventional proteins. Additionally, the more participants perceived protein sources as natural, the less risky and more beneficial they perceived them to be, contributing to their support. These results suggest that perceived naturalness, and associated risks and benefits, could be an important factor in shaping public support for or opposition to new proteins. These findings have theoretical and broader implications for the development and adoption of sustainability technologies. [ABSTRACT FROM AUTHOR]

The widespread demand for animal-sourced foods poses challenges in addressing climate change due to their significant greenhouse gas emissions. Alternative proteins like cultured meat show promise with lower greenhouse gas emissions, but have faced public resistance, posing substantial barriers to their broad development and adoption. This paper reports a survey that examined the perceived naturalness of protein sources as an important factor that predicts perceived risks, benefits, and support for consumption. A diverse sample from the United States considered six different protein technologies, including three newer alternative proteins such as cultured meat and three more conventional proteins. Newer alternative proteins were perceived as less natural and were less supported than conventional proteins. Additionally, the more participants perceived protein sources as natural, the less risky and more beneficial they perceived them to be, contributing to their support. These results suggest that perceived naturalness, and associated risks and benefits, could be an important factor in shaping public support for or opposition to new proteins. These findings have theoretical and broader implications for the development and adoption of sustainability technologies. [ABSTRACT FROM AUTHOR]

Climate change will push the planet worryingly close to its boundaries, across all latitudes and levels of development. One question therefore is the extent to which climate change does (and will) severely affect societies’ livelihoods, health, well-being, and cultures. This paper discusses the “severe climate risks” concept developed under Working Group II’s contribution to the Fifth and Sixth Assessment Reports of the Intergovernmental Panel on Climate Change (IPCC, AR5, and AR6). Focusing on low-lying coastal socio-ecological systems (LCS) and acknowledging that attempts to define “severe” climate risk have been problematic at the level of global syntheses, we argue for a more place- and people-based framing relating to “habitability under a changing climate.” We summarize habitability in terms of five habitability pillars: land, freshwater, food, settlement and infrastructure, and economic and subsistence activities; we acknowledge social and cultural factors (including perceptions, values, governance arrangements, human agency, power structures) as critical underlying factors rather than as separate pillars. We further develop the habitability framing and examine climate risk to future human health and habitability for three climate “hotspot” archetypes (arctic coasts, atoll islands, densely populated urban areas). Building on the IPCC AR6 framing of severe climate risks, we discuss three key parameters describing severe climate risks in LCS: the point of irreversibility of changes, physical and socio-ecological thresholds, and cascading effects across various habitability dimensions. We also highlight the variability of severe risk conditions both between coastal archetypes and within each of them. Further work should consist of refining the case study framing to find the right balance between capturing context-specificities through real-world local case studies and commonalities derived from more generic archetypes. In addition, there is a need to identify appropriate methods to assess irreversibility, thresholds, and cascading effects, and thus severe climate risks to habitability. [ABSTRACT FROM AUTHOR]