Climate Mitigation Strategies Research Articles

Scaling carbon removal systems: deploying direct air capture amidst Canada’s low-carbon transition

Carbon dioxide removal (CDR) technologies, such as direct air carbon capture and storage (DACCS), will be critical in limiting the rise of the average global temperature over the next century. Scaling up DACCS technologies requires the support of a complex array of policies and infrastructure across multiple overlapping policy areas, such as climate, energy, technology innovation and resource management. While the literature on DACCS and other CDR technologies acknowledges the path-dependent nature of policy development, it has tended to focus on abstract policy prescriptions that are not rooted in the specific political, social and physical (infrastructural) context of the implementing state. To address this gap, this paper provides a country-level study of the emerging DACCS policy regime in Canada. Drawing on the existing literature that identifies idealized (acontextual) policy objectives that support DACCS development and effective regulation, we identify the actionable policy objectives across six issue domains: general climate mitigation strategies; energy and resource constraints; carbon storage and transport regulation and infrastructure; financing scale-up and supporting innovation; removal and capture technology availability and regulation; and addressing social acceptability and public interest. Using a database of Canadian climate policies (n = 457), we identify policies within the Canadian (federal and provincial) policy environment that map to the idealized policy objectives within each of these domains. This exercise allows us to analyze how key policy objectives for DACCS development are represented within the Canadian system, and enables us to identify potential niches, and landscape influences within the system, as well as gaps and potential barriers to the system transition process. This paper contributes to our understanding of national DACCS policy development by providing a framework for identifying components of the DAC system and linking those components to desired policy outcomes and may provide a basis for future cross-country comparisons of national-level DACCS policy.

Unlocking carbon finance: Empowering energy communities for mutual benefit

This study investigates the potential of utilizing carbon credits to finance innovative local energy communities in Europe, addressing a significant gap in academic literature. Despite the growing interest in voluntary carbon credits as a mechanism for offsetting carbon emissions, there is limited evidence connecting local energy systems to voluntary carbon markets. The study explores whether carbon credits could serve as a practical tool for funding the development of energy communities, contributing to sustainable energy transitions and climate mitigation strategies. The research employs a comprehensive methodology to assess the quality of carbon credit projects and examines ten innovative energy community projects in Europe. Key findings reveal there is potential for using carbon credits to finance energy community initiatives. However, challenges persist, particularly regarding financing barriers and the volatile nature of carbon markets. The study underscores the importance of policy support in establishing clear standards for voluntary markets and promoting the accessibility of carbon offsets. Furthermore, it suggests potential solutions such as pre-financing agreements and the utilization of carbon market derivatives to enhance project viability. Overall, the study offers insights into the intersection between voluntary carbon markets and local energy initiatives, providing a foundation for further research and policy development in the field of local sustainable development and climate change mitigation.

Climate mitigation and adaptation strategies in the transport sector: An empirical investigation in Germany

Due to climate change, extreme weather events will increase in intensity, frequency, and duration in the future, negatively impacting logistics and transport systems. The threat of missing climate targets and a lack of climate adaptivity strategies in the transport sector leads to growing climate-related risks for transportation companies. The present paper provides a qualitative study exploring mitigation and adaptation strategies within the logistics sector. It analyzes the challenges transportation companies face in developing climate-neutral business models and adapting to the consequences of climate change. Our results show that logistics companies need to be more prepared for the consequences of climate change and, at the same time, insufficiently address climate change mitigation, making the sector more vulnerable to climate extremes in the future. A transformation framework is developed to assess the logistics firms’ climate protection measures and climate adaptation strategies while highlighting existing development lags in climate mitigation and climate adaptation. Moreover, possible future strategies to combat climate risks in the sector are pathed.

Climate Variability of Air Temperature and Its Warming Trends in the Arabian Gulf

AbstractOver a 41-year period (1979–2019), the climate of the Arabian Gulf (Gulf) exhibited notable variability. This variation, influenced by mesoscale and globalscale meteorological and climatic determinants, showed temperature fluctuations, predominantly in the Northern Gulf (N Gulf). The N Gulf recorded an average temperature of 25.9 °C, a noticeable 3 °C higher than the broader Gulf average. This period marked extreme temperature records, with a peak at 53.8 °C in July 2016, paralleling the highest known temperatures in Asia. Data reveals a warming trend (0.1–0.6 °C per decade) in the region, with the N Gulf’s rise surpassing global trends. The years 2014–2019 were notably warmer, impacting overall trends, and 1997 was the transitional year shifting from cooler to warmer climates. The N Gulf’s seasonal dynamics are also transforming, with extended summers and shortened winters. In this study, we employed empirical orthogonal function (EOF) decomposition analysis to examine the interannual to multidecadal fluctuations in air temperature within the Gulf from 1979 to 2019, using hourly air temperature data from the Watch Forcing Dataset (WFDE5) generated from the fifth generation (ERA5) European Centre for Medium-Range Weather Fore-casts (ECMWF). Through this method, we discerned three principal EOF modes, which together accounted for 82% of the air temperature variability in the Gulf, highlighting external influences such as North Atlantic Oscillation (NAO), El Nino-Southern Oscillation (ENSO), and Atlantic Multidecadal Oscillation (AMO). The data for these external influences were sourced from the National Oceanic and Atmospheric Administration (NOAA) Physical Sciences Laboratory. These findings stress the pressing need for detailed climate studies and mitigation strategies for a rapidly warming Gulf region, especially the N Gulf.

Exploring Sustainable Diets as a Climate Mitigation Strategy：

Exploring Sustainable Diets as a Climate Mitigation Strategy：

Variation in Water-Holding Capacity in Sphagnum Species Depends on Both Plant and Colony Structure.

Peatlands have become a focal point in climate mitigation strategies as these ecosystems have significant carbon sequestration capacities when healthy but release CO2 and other greenhouse gases when damaged. However, as drought episodes become more frequent and prolonged, organisms key to the functioning of some peatlands are increasingly under pressure from desiccation. The Sphagnum mosses, which tend to keep their ecosystem waterlogged and many of whom promote peat formation, are only mildly desiccation-tolerant in comparison to other mosses. The role of Sphagnum anatomy and colony structure is poorly understood in the context of desiccation resilience. Using four different Sphagnum species belonging to four different subgenera and positions along the gradient of the water table, we show that plant morphological traits and colony density are important determinants of water storage capacity. Our results show that, as previously postulated, the majority of the water is stored in an easily exchangeable form, probably extracellularly, and that plant morphological traits, specifically the type and presence of branches, are major contributors to water storage and can explain some of the interspecies variation. We also show that plant density is another important determinant for water storage capacity as higher densities hold larger quantities of water per unit of biomass for all four species, which increases resilience to desiccation. The results presented here suggest that species choice and planting density should receive more attention when considering peatland restoration strategies.

Socioeconomic Impacts of Climate Mitigation Actions in Greece: Quantitative Assessment and Public Perception

Appropriately designed and implemented climate mitigation actions have multiple co-benefits (yet some trade-offs cannot be excluded) that result in substantial social and economic value beyond their direct impact on reducing energy consumption and GHG emissions. Despite their wider acknowledgement by the research community, decision makers and the public have incomplete information on these multiple effects. This paper has a twofold objective: First, through analytical bottom-up approaches, it assesses, in quantitative terms, the macroeconomic effects and the public health benefits attributed to a variety of mitigation actions under consideration in the context of the Greek Energy and Climate Plan. Second, it investigates, through a social survey, how citizens perceive climate change and value these multiple impacts of mitigation actions, and to what extent they are willing to pay for them and support the adoption of policy measures aiming at the green transition of the Greek economy. We show that mitigation actions bring about significant health benefits, particularly in cities, and generate significant positive macroeconomic effects, particularly if mitigation actions focus on the decarbonization of the building sector and on the exploitation of local renewable sources. We also argue that most people do not realize that climate mitigation actions can have wider benefits for society, such as tackling energy poverty, improving public health, and creating new jobs. Unwillingness to pay tends to be the prominent attitude. People who are more reluctant to cover a part of the cost of environmental protection are less likely to perceive that climate change is one of the main challenges at global and national level and support the adoption of climate mitigation policies. In this context, the national strategy for climate change should focus on effectively informing and engaging the public in climate mitigation strategies, strengthening the public trust in government institutions, promoting mutually acceptable solutions with the local communities, and providing incentives for changing citizens’ behavior towards climate-related actions.

Designing additional CO2 in-situ surface observation networks over South Korea using bayesian inversion coupled with Lagrangian modelling

Efforts to enhance greenhouse gas (GHG) emission reduction in East Asia play a pivotal role on both global and regional scales in advancing climate mitigation strategies. This study aimed to better constrain anthropogenic CO2 emission estimates by expanding the network of near-surface in-situ stations for CO2 observations across South Korea. To achieve an optimal CO2 network design, we conducted an Observing System Simulation Experiment (OSSE) coupled with the Stochastic Lagrangian Transport model (STILT), utilizing meteorological data from the Korean Integrated Model (KIM). Our inversion setup incorporated two CO2 emission datasets with a 0.1o resolution: EDGAR v6 for prior emissions and GRACED for truth emissions. A uniform model-mismatch error of 3 ppm was introduced across sites. The effectiveness of the existing five in-situ stations, termed the base network, in South Korea was evaluated to gauge their ability to constrain CO2 surface flux estimates. However, the findings revealed a reduction in flux uncertainty of only 29.2%, which fell short of the desired uncertainty reduction goal. In this base network, the Lotte World Tower (LWT: 37.5126°E, 127.1025°E) in Seoul and the Anmyeondo (AMY: 36.538576° N, 126.330071° E) site in Taean county stood as major contributors, with estimated reductions of 17.48% and 6.35%, respectively. Consequently, we proposed and developed an extended network, identifying seven candidate sites based on consideration of logistical factors, existing infrastructures, and proximity to the emission source regions. An incremental optimization scheme ranked their contributions, resulting in an additional 25% reduction, bringing the total to 54.13%. However, it is noteworthy that diminishing returns (ranging from 13% to less than 0.1%) were observed with an increase in station count mainly due to the possibility that adding a station earlier in the sequence might render subsequent stations redundant. Despite this, the proposed CO2 network successfully reduced uncertainty in emissions, narrowing the gap with the objectives of the Global Greenhouse Gas Watch (G3W).

Climate change unevenly affects the dependence of multiple climate-related hazards in China

Due to the complex natural environment and large regional differentiation in China, the dependence of multiple climate-related hazards on compound events (CEs) and their response to climate change are still unclear. Using daily meteorological observations (1961–2020) and climate simulations from the Coupled Model Intercomparison Project Phase 6, statistically strong dependences among hot, dry, and high fire risk are revealed in China. The average temperature from 1991 to 2020 was 1 °C higher than that from 1961 to 1990, and the probabilities of CEs exhibiting extreme hot-dry, dry-high fire risk, and extreme hot-dry-high fire risk increased significantly by 74.8%, 60.5%, and 26.8%, respectively. Although most CEs occur more frequently in China at the end of the 21st century, the increase rates in low emissions are lower. These findings have implications for developing climate adaptation and mitigation strategies to cope with increased CEs in critical geographical regions.

Water in Circular Economy and Resilience (WICER) Framework

Circular economy has emerged as a response to the unsustainable linear model of “take, make, consume, and waste”. Yet so far, the water sector has not been systematically included in high-level circular economy strategy discussions and has not fully reaped the potential benefits. Circular economy principles offer an opportunity to recognize and capture the full value of water - as a service, an input to processes, a source of energy, a carrier of materials - and to make the sector more sustainable financially and environmentally, while enhancing resilience to climate change and mitigating emissions. This paper presents the Water in Circular Economy and Resilience (WICER) Framework to establish a common understanding of circular economy and resilience principles in the water sector. The Framework grew out of a literature review and was informed by lessons learned from global case studies and from the knowledge of the World Bank. The paper aims to clarify how circular economy principles can be applied in the water sector, and to guide practitioners, especially from governments in low- and middle-income countries, with a clear long-term plan to become circular and resilient. The framework describes the nine key actions needed to achieve three main outcomes: (1) deliver resilient and inclusive water services; (2) design out waste and pollution; and (3) preserve and regenerate natural systems. The novelty of the proposed framework is that it goes beyond reusing and recovering resources from wastewater, and it presents a more holistic approach for water and sanitation services, considering a water basin approach and including resiliency principles, climate mitigation strategies and inclusiveness – all of which are particularly relevant in the context of developing countries.

Environmental Data, Modeling and Digital Simulation for the Evaluation of Climate Adaptation and Mitigation Strategies in the Urban Environment

Environmental Data, Modeling and Digital Simulation for the Evaluation of Climate Adaptation and Mitigation Strategies in the Urban Environment

Delivering an improved framework for the new generation of CMIP6-driven EURO-CORDEX regional climate simulations

Abstract CORDEX (Coordinated Regional Downscaling EXperiment) is a coordinated international activity that has produced ensembles of regional climate simulations with domains that cover all land areas of the world. These ensembles are used by a wide range of practitioners that include the scientific community, policy makers, stakeholders from the public and private sector. They also provide the scientific basis for the Intergovernmental Panel on Climate Change-Assessment Reports. As its next phase now launches, the CMIP6-CORDEX datasets are expected to populate community repositories over the next couple of years, with updated state-of-the-art regional climate data that will further support national and regional communities and inform their climate adaptation and mitigation strategies. The protocol presented here focuses on the European domain (EURO-CORDEX). It takes the international CORDEX protocol covering all fourteen global domains as its template. However, it expands on the international protocol in specific areas; Incorporates historical and projected aerosol trends into the regional models in a consistent way with CMIP6-Global Climate Models, to allow for a better comparison of global vs. regional trends; Produces more climate variables to better support sectorial climate impact assessments; Takes into account the recent scientific developments addressed in the CORDEX Flagship Pilot Studies, enabling a better assessment of processes and phenomena relevant to regional climate (e.g. land use change, aerosol, convection, urban environment). Here, we summarize the scientific analysis which led to the new simulation protocol and highlight the improvements we expect in the new generation regional climate ensemble.

Global Mapping of Three-Dimensional (3D) Urban Structures Reveals Escalating Utilization in the Vertical Dimension and Pronounced Building Space Inequality

Three-dimensional (3D) urban structures play a critical role in informing climate mitigation strategies aimed at the built environment and facilitating sustainable urban development. Regrettably, there exists a significant gap in detailed and consistent data on 3D building space structures with global coverage due to the challenges inherent in the data collection and model calibration processes. In this study, we constructed a global urban structure dataset (GUS-3D), including building volume, height, and footprint information, at a 500 m spatial resolution using extensive satellite observation products and numerous reference building samples. Our analysis indicated that the total volume of buildings worldwide in 2015 exceeded 1 × 1012 m3. Over the 1985 to 2015 period, we observed a slight increase in the magnitude of 3D building volume growth (i.e., it increased from 166.02 km3 during the 1985–2000 period to 175.08 km3 during the 2000–2015 period), while the expansion magnitudes of the two-dimensional (2D) building footprint (22.51 × 103 km2 vs. 13.29 × 103 km2) and urban extent (157 × 103 km2 vs. 133.8 × 103 km2) notably decreased. This trend highlights the significant increase in intensive vertical utilization of urban land. Furthermore, we identified significant heterogeneity in building space provision and inequality across cities worldwide. This inequality is particularly pronounced in many populous Asian cities, which has been overlooked in previous studies on economic inequality. The GUS-3D dataset shows great potential to deepen our understanding of the urban environment and creates new horizons for numerous 3D urban studies.

A GIS-big data model for improving the coverage and analysis processes of territory observation, and integrating ground-based observations with retrospective meteorological data

This paper presents Kawak, a GIS-bigdata model for merging retrospective meteorological data with ground-based observations to achieve comprehensive territorial coverage. This model identifies areas without active ground-based stations and creates virtual stations for these areas. Kawak incorporates AI algorithms for conducting spatio-temporal studies, enabling seamless merging and exploration of climate patterns. We implemented Kawak in a prototype and conducted an exploratory case study by fusing temperature records from MERRA-2 with EMAS ground-based observations in Mexico over 33 years. The findings include: (i) Missing data and outliers in ground-based observations increased over time; (ii) Ground-station territorial coverage gradually reduced; (iii) Differences between ground-based and reanalysis observations were 1.95 and 1.91 Celsius degrees for maximum and minimum yearly temperatures; (iv) Kawak replaces inactive ground stations with virtual stations based on MERRA data, ensuring complete territorial coverage. The implementation of this GIS-bigdata fusion model is a viable solution for achieving whole coverage and supporting decision-making processes based on temperature territory observations, such as defining plans for allocating or replacing ground stations, climate data quality assessment, refining climate models and enhancing the accuracy and reliability of temperature predictions, ultimately supporting effective climate monitoring, adaptation, and mitigation strategies.

Green bonds in climate finance: A review of USA and African initiatives

Green Bonds have emerged as a pivotal instrument in climate finance, facilitating the transition towards a sustainable and low-carbon economy. This paper provides a comprehensive review of Green Bond initiatives in both the United States and Africa, shedding light on the distinct trajectories, challenges, and opportunities within these regions. In the United States, Green Bonds have gained substantial traction as a financial mechanism to support environmentally friendly projects. The review explores the regulatory framework, market dynamics, and the role of key stakeholders in shaping the landscape of Green Bonds in the U.S. The analysis delves into the impact of policy developments, such as the Biden administration's commitment to climate action, on the growth and diversification of Green Bond issuance. Additionally, it examines the investor perspective and the evolving disclosure standards that contribute to the transparency and credibility of these financial instruments. On the African continent, Green Bonds have emerged as a critical tool for mobilizing capital to address climate-related challenges while promoting sustainable development. The paper highlights the unique challenges faced by African nations, including limited financial infrastructure and the need for capacity building. It discusses the role of international partnerships and multilateral institutions in supporting African countries in their endeavors to issue Green Bonds. The review also explores how these financial instruments contribute to the continent's broader climate resilience and mitigation strategies. Furthermore, the paper emphasizes the importance of aligning Green Bond initiatives with broader sustainable development goals, ensuring that the financing mechanisms not only address climate change but also contribute to social and economic development. It discusses the potential for innovation in structuring Green Bonds to attract diverse investors and foster inclusivity in climate finance. This paper provides a nuanced overview of Green Bond initiatives in the United States and Africa, offering insights into the diverse strategies employed, challenges faced, and the broader implications for climate finance. The comparative analysis aims to inform policymakers, investors, and stakeholders, fostering a deeper understanding of the evolving landscape of Green Bonds in these distinct yet interconnected regions.

A state of the art of review on factors affecting the enhanced weathering in agricultural soil: strategies for carbon sequestration and climate mitigation.

As the urgency to address climate change intensifies, the exploration of sustainable negative emission technologies becomes imperative. Enhanced weathering (EW) represents an approach by leveraging the natural process of rock weathering to sequester atmospheric carbon dioxide (CO2) in agricultural lands. This review synthesizes current research on EW, focusing on its mechanisms, influencing factors, and pathways for successful integration into agricultural practices. It evaluates key factors such as material suitability, particle size, application rates, soil properties, and climate, which are crucial for optimizing EW's efficacy. The study highlights the multifaceted benefits of EW, including soil fertility improvement, pH regulation, and enhanced water retention, which collectively contribute to increased agricultural productivity and climate change mitigation. Furthermore, the review introduces Monitoring, Reporting, and Verification (MRV) and Carbon Dioxide Removal (CDR) verification frameworks as essential components for assessing and enhancing EW's effectiveness and credibility. By examining the current state of research and proposing avenues for future investigation, this review aims to deepen the understanding of EW's role in sustainable agriculture and climate change mitigation strategies.

Modelling & Spatial Mapping of Residential-Sector Emissions for Sub-National & Urban Areas

The residential sector accounts for 33% of energy-related Greenhouse Gas (GHG) emissions globally and must undergo rapid emissions reductions in order to support broader society-wide sustainability and net-zero transitions. Additionally, urban areas account for approximately 70% of global GHG emissions. To provide a baseline for urban climate action plans and mitigation strategies, sub-national municipalities must quantify their sectoral baseline emissions in detail and develop strategies for reducing emissions relative to these baselines. Therefore, it is important to establish clear methodologies for computing these baselines in accordance with the best available science. This paper establishes a novel methodology for developing a residential sector emissions model using a data-driven and spatial mapping approach. This would form an important component of future multi-sectoral baseline emissions inventories.•The residential sector emissions model combines publicly available census and building energy performance datasets in order to model and visualize the distribution of energy demand and resultant emissions across an urban study domain in Ireland.•The methodology presented was developed in line with the approaches and requirements of the Global Covenant of Mayors and the Intergovernmental Panel on Climate Change.•It is envisioned that this residential sector emissions model methodology could be applied in any urban area worldwide.

Greenhouse gas emissions from sanitation and wastewater management systems: a review

Abstract There is growing awareness of the contribution of sanitation systems to greenhouse gas (GHG) emissions globally, and hence to climate change. However, there is a lack of comprehensive insight into emission sources disaggregated across the entire sanitation chain. This study presents a detailed review and analysis of emission sources from both sewer-based and non-sewered sanitation systems, with a focus on both fugitive emissions and those related to system operation. Our analysis highlights evidence gaps in several areas in the literature: quantifying emissions from non-sewered sanitation systems, with particular gaps related to technologies like biogas toilets and composting toilets; oversight of contextual factors such as environmental conditions and infrastructure operational status in GHG accounting; a dearth of holistic GHG emission studies across the entire sanitation chain comparable to those in the solid waste management sector; and inconsistencies in GHG measurement methods. By pinpointing these gaps, this review provides a robust reference for planning climate mitigation strategies for sanitation and wastewater management systems, emphasizes the urgent need for the incorporation of climate-smart solutions in the sector, e.g. in the design of new and retrofitted infrastructure, and aims to bridge the sustainable development goals related to sanitation and climate action.

Relative Contributions of Large‐Scale Atmospheric Circulation Dynamics and Anthropogenic Warming to the Unprecedented 2022 Yangtze River Basin Heatwave

AbstractThe unprecedented 2022 Yangtze River Basin (YRB) heatwave is a threat to human society and natural ecology, so the understanding of its underlying drivers is critical to regional climate adaptation and resilience. Here we conducted a multi‐method attribution analysis on the contribution of atmospheric circulation change and anthropogenic impacts to the occurrence probability and intensity of this extreme heatwave. Based on the nonstationary statistical analysis, the 2022 YRB heatwave is a 1‐in‐900‐year event and a 1‐in‐110‐year event with and without considering the 2022 YRB heatwave in the fitting, respectively. The large‐scale meteorological condition analysis shows that the 2022 YRB heatwave is featured with an anomalous high‐pressure system that favors a hot and dry atmospheric column, overlaid by anomalous subsidence and clear skies which leads to warming and greater solar heating. The ensemble constructed circulation analogue analyses show that the circulation anomaly fails to explain the observed 2022 YRB SAT anomalies fully. Specifically, 46% (0.132 ± 0.027°C decade−1) of the observed SAT trend during 1979–2022 (0.290 ± 0.048°C decade−1) is caused by anthropogenic warming and the associated thermodynamic feedback, while the remaining 54% (0.157 ± 0.038°C decade−1) of the trend is caused by changes in the large‐scale atmospheric circulation. Our findings on changes in atmospheric circulation patterns associated with YRB heatwave and anthropogenic contributions to YRB heatwave could provide valuable information for climate adaptation and mitigation strategies in the context of a warming climate.

Tackling climate change at the city level: insights from Lighthouse Cities' climate mitigation efforts.

The link between lifestyles and Greenhouse Gas (GHG) emissions has prioritized climate mitigation strategies of cities worldwide. As cities have increasingly generated GHG emissions by their industrial and transportation activities, their role in climate mitigation has gained prominence. Cities' climate mitigation policies to reduce the GHG intensity of their residents' daily lives are one of their significant efforts to tackle climate change. Lighthouse Cities (LCs), in particular, have emerged as remarkable actors in promoting lifestyle changes for their residents. This study examines climate mitigation strategies of LCs of Climate CAMPAIGNers project, including Baku, Vilnius, Lahti, Izmir, Trujillo, Athens, Linz, Milan, Cape Town, Dublin, and Skopelos, addressing lifestyle changes by conducting an expert survey in 11 LCs involving 89 respondents. The findings of the expert survey are comparatively analyzed across 11 LCs. The results show that experts form Lighthouse Cities identify increasing awareness and information provision as a significant component of climate mitigation policies. Concerning lifestyle changes, strategies toward energy efficiency and sustainable mobility are highlighted as the primary areas to be prioritized. This study enhances the understanding of cities' capacity to reduce their residents' GHG emissions. The findings can be utilized to identify and tailor policies for supporting the Lighthouse Cities in their climate change mitigation efforts and provide pointers for selecting the lifestyle changes that can be promoted and prioritized in Lighthouse Cities.