A spatial approach to baseline and leakage in CDM forest carbon sinks projects

Abstract

Forestry projects under the Clean Development Mechanism (CDM) face specific challenges with regard to determination of a baseline for carbon sequestration. We propose a semi-standardized approach called PARAPIA for calculation of a baseline that is built on the concept of a reference area around the project area whose land-use characteristics determine the baseline scenario. The land-use shares in the reference area are checked at each verification. Baseline carbon stocks are then derived ex post using the average carbon content of each land-use type. The reference area is between five and ten times larger than the project area. To determine indirect effects (the so-called ‘leakage’), a political influence area such as province or state is assessed with regards to migration flows due to the project and related emissions.     

The potential of the CDM to deliver pro-poor benefits

The potential of Clean Development Mechanism (CDM) projects to deliver pro-poor benefits at the community level is examined. Both regular CDM and premium add-on standard projects are evaluated, including the Gold Standard and Climate, Community and Biodiversity (CCB) Standard, through the use of seven poverty indicators. Some key characteristics associated with providing pro-poor benefits are also identified. Finally, the market potential of a revised or new premium add-on standard explicitly designed to deliver pro-poor benefits is assessed through the use of a survey. The results indicate that regular CDM projects are only moderately successful at delivering pro-poor benefits. Although the few projects registered that utilize the CCB Standard all performed well in delivering pro-poor benefits, those that used the Gold Standard performed only slightly better than regular CDM projects. Characteristics associated with providing pro-poor benefits include the use of add-on standards, a high level of stakeholder participation, and the development of projects by not-for-profit and government/intergovernmental organizations. The survey of carbon market participants indicated both an interest and desire for Certified Emission Reduction (CER) credits with pro-poor benefits attached and shows that the market potential for such a standard to be quite good.

Policy relevance

This analysis of the CDM goes beyond sustainable development to consider the potential of a project to deliver pro-poor benefits at the local community level. Specific characteristics associated with projects are identified that appear to deliver pro-poor benefits that may benefit future project design. Through this analysis and identifying these characteristics, actions may be taken to incorporate those into CDM project requirements or guidelines to advance the mechanism as a means to contribute to poverty alleviation.     

Time to market in the CDM: variation over project characteristics and time

Not only is the carbon market inundated with Certified Emissions Reductions (CERs) issued by successful projects, it is also littered with failed projects, that is, projects that either fail to be registered under the Clean Development Mechanism (CDM) or projects that have been successfully registered but fail to issue CERs. By relying on a novel application of survival analysis in the context of the CDM, this article shows that half of all projects that start the Global Stakeholder Process fail to issue CERs, while the other half have a median time to market of four years. Furthermore, it is shown that some of the best projects, in terms of being additional, are those that are least likely to make it to market, whereas some of the worst projects, in terms of not being additional, are the ones that are most likely to make it to market. This presents a fundamental challenge for the CDM and future offset schemes that rely on the same design as the CDM. In contrast with previous studies, it is shown that, when project characteristics are controlled for, not all durations measured along the CDM project cycle have increased over time.

Policy relevance

This article develops a novel method for analysing durations measured along the CDM project cycle that avoids the biases of previous studies, and corrects for some misconceptions of what the delays faced by CDM projects are and how these delays have changed over time. Developing an understanding of the delays is important in order not to draw the wrong lessons from the CDM experience. As the leading example of an offset scheme, both in terms of geographical scope and sectoral coverage, and some would say institutional complexity, the CDM serves as a benchmark and reference for all future offset schemes, among others, for the New Market Mechanisms (NMMs) and the Chinese domestic offset programme. While the NMMs are still very much in development, China has announced that it will rely on the methodologies and procedures developed under the CDM for generating offsets for their regional carbon trading schemes.     

A conceptual framework and its application for addressing leakage: the case of avoided deforestation

Abstract

One of the most challenging technical issues associated with project-based mechanisms is that of leakage. A conceptual framework is proposed for the identification and analysis of leakage potentially generated by a project. The categorization of leakage based on the actors responsible for their manifestation is proposed, which divides sources of leakage into primary and secondary types. It is the actors or agents responsible for the baseline activities that cause primary leakage. Secondary leakage occurs when the project's outputs create incentives for third parties to increase emissions elsewhere. This distinction, based on the source of leakage, provides a basis for the analysis outlined in the paper. The extent and type of leakage will vary depending on the project typology and design. Using a decision tree approach, the process of identifying potential sources of leakage is demonstrated for the case study of avoided deforestation projects. If the main elements determining a baseline are properly identified and understood, in particular the ‘baseline agents’, a combination of the decision tree approach and apportioning responsibility, can assist in the quantification and monitoring of primary leakage. An analysis at the project design stage can also assist in minimizing the risk of future leakage. Econometric methods may prove more useful in analyzing secondary leakage.     

Free allocation rules in the EU emissions trading system: what does the empirical literature show?

This paper analyses the rules for free allocation in the EU Emissions Trading System (EU ETS). The analysis draws on the empirical evidence emerging from two literature strands. One group of studies sheds light on the following questions: how efficient are free allocation rules in minimizing the risk of carbon leakage? Have they become more efficient over the trading periods? What are the technical limits to making them more efficient? Further: is firm behaviour affected by allowance allocation? Did specific provisions induce strategic behaviour with unintended effects? Studies from the second group estimate sectoral pass-through rates for the costs imposed by the EU ETS. Taking cost pass-through into account is necessary for properly targeting free allocation. The difficulty of accurately quantifying sectoral differences in cost pass-through ability, especially in manufacturing sectors (due to limited data availability and market heterogeneity), is the main hindrance to achieving further efficiency in allowance allocation. The new rules defined in the reform for Phase IV (2021–2030) nevertheless make some progress in this direction.

Key policy insights

• The difficulty of accurately quantifying sectoral differences in cost pass-through ability is the main hindrance to efficient free allocation in minimizing carbon leakage risk.

• In Phase IV (2021–2030), carbon leakage risk will be assessed more accurately thanks to: a) carbon intensity and trade intensity considered together through a combined indicator; b) possible use of more disaggregated data, and c) possible consideration of complementary qualitative assessments of abatement potential, market characteristics and profit margins.

• It is expected that benchmarked allocation introduced in Phase III (2013–2020) has induced additional emission abatement, but there is still a lack of empirical evidence.

     

Magnitude,distribution and causes of terrestrial carbon sinks and some implications for policy

Abstract

Recent analyses continue to modify our understanding of terrestrial carbon sinks. The sinks are large and variable enough to account for much of the variability in the growth rate of atmospheric CO₂. They are distributed throughout both northern mid-latitudes and the tropics. Identification of the factors influencing an observed sink is extremely difficult; methods for attribution are reviewed. Although various ecological mechanisms (e.g. CO₂ fertilization, nitrogen deposition, climatic variability) have been shown experimentally to have short-term effects on physiological processes controlling the amount of carbon in terrestrial ecosystems, it is unclear which of these mechanisms has been most important in the past 10–100 years and which will be most important in the future. The decades-long supposition that CO₂ fertilization has been a major driver of terrestrial carbon uptake is being challenged. A major portion of the sink in the northern mid-latitudes (although probably not in the tropics) is a result of recovery from past changes in land use and management. To the extent that these direct human actions explain most of the current (and future) sink, attribution and thus accounting become more tractable, but the continued functioning of the sink is limited and largely dependent on deliberate actions (e.g. afforestation, sustainable forest management and preservation).     

Determinants of technology transfer through the CDM: a within-country analysis for China

Technology transfer (TT) is not mandatory for Clean Development Mechanism (CDM) projects, yet proponents of CDM argue that TT in CDM can bring new technologies to developing countries and thus not only reduce emissions but also foster development. We review the quantitative literature on determinants of TT in CDM and estimate determinants for CDM projects in China. China is by far the largest host country of CDM projects and it is therefore crucial to understand the factors that drive TT there. To gain better interpretation, we focus on heterogeneity within a single country and results can thus be linked to specific policies of the country. Our probit estimations confirm previous international cross-country studies, indicating that larger projects and more advanced technologies are more likely to involve TT. In addition, we find evidence that agglomeration effects are more pronounced at the province level rather than larger regions. We also find a positive effect of foreign direct investment (FDI) on TT, and academic research and development (R&D) is complementary to TT.

Policy relevance

Technology transfer (TT) is a goal of Chinese CDM legislation, but it is not a prerequisite for project approval. Our estimations show the project specific, technological and region-specific features that encourage more TT among CDM projects. Some variables analysed such as R&D spending and FDI (both are found to have positive effects on TT) can be, to some extent, influenced by the policy-makers. Moreover, we find some evidence for the presence of negative agglomeration effects on the provincial level: the likelihood of TT is decreasing in the number of previous projects operating in the same technology and province. This finding needs to be interpreted with great caution. It may suggest the existence of a learning externality, which could serve as a justification for policy intervention. Any policy intervention requires however careful analysis of potential positive or negative externalities resulting from the agglomeration of CDM projects and a comparison of possible benefits with the costs of TT.     

The contribution of forest carbon credit projects to addressing the climate change challenge

This article addresses the question of how forestry projects, given the recently improved standards for the accounting of carbon sequestration, can benefit from existing and emerging carbon markets in the world. For a long time, forestry projects have been set up for the purpose of generating carbon credits. They were surrounded by uncertainties about the permanence of carbon sequestration in trees, potential replacement of deforestation due to projects (leakage), and how and what to measure as sequestered carbon. Through experience with Joint Implementation (JI) and Clean Development Mechanism (CDM) forestry projects, albeit limited, and with forestry projects in voluntary carbon markets, considerable improvements have been made with accounting of carbon sequestration in forests, resulting in a more solid basis for carbon credit trading. The scope of selling these credits exists both in compliance markets, although currently with strong limitations, and in voluntary markets for offsetting emissions with carbon credits. Improved carbon accounting methods for forestry investments can also enhance the scope for forestry in the Nationally Determined Contributions (NDCs) that countries must prepare under the Paris Agreement.

POLICY RELEVANCE

This article identifies how forestry projects can contribute to climate change mitigation. Forestry projects have addressed a number of challenges, like reforestation, afforestation on degraded lands, and long-term sustainable forest management. An interesting new option for forestry carbon projects could be the NDCs under the Paris Agreement in December 2015. Initially, under CDM and JI, the number of forestry projects was far below that for renewable energy projects. With the adoption of the Paris Agreement, both developed and developing countries have agreed on NDCs for country-specific measures on climate change mitigation, and increased the need for investing in new measures. Over the years, considerable experience has been built up with forestry projects that fix CO₂ over a long-term period. Accounting rules are nowadays at a sufficient level for the large potential of forestry projects to deliver a reliable, additional contribution towards reducing or halting emissions from deforestation and forest degradation activities worldwide.     

Additionality revisited: guarding the integrity of market mechanisms under the Paris Agreement

ABSTRACT

The Paris Agreement requires mitigation contributions from all Parties. Therefore, the determination of additionality of activities under the market mechanisms of its Article 6 will need to be revisited. This paper provides recommendations on how to operationalize additionality under Article 6. We first review generic definitions of additionality and current approaches for testing of additionality before discussing under which conditions additionality testing of specific activities or policies is still necessary under the new context of the Paris Agreement, that is, in order to prevent increases of global emissions. We argue that the possibility of ‘hot air’ generation under nationally-determined contributions (NDCs) requires an independent check of the NDC’s ambition. If the NDC of the transferring country does contain ‘hot air’, or if the transferred emission reductions are not covered by the NDC, a dedicated additionality test should be required. While additionality tests of projects and programmes could continue to be done through investment analysis, for policy instruments new approaches are required. They should be differentiated according to type of policy instrument. For regulation, we suggest calculating the resulting pay-back period for technology users. If the regulation generates investments exceeding a payback period threshold, it could be deemed additional. Similarly, carbon pricing policies that generate a carbon price exceeding a threshold could qualify; for trading schemes an absence of over-allocation needs to be shown. The threshold should be differentiated according to country categories and rise over time.

Key policy insights

• Without additionality testing, market mechanisms under the Paris Agreements might lead to an international diffusion of ‘hot air’. To avoid this, an independent assessment of NDC ambition is in order. Otherwise, activities under the mechanisms need to undergo specific additionality tests.

• Additionality testing of projects and programmes should build on the experience developed under the Kyoto Protocol mechanisms.

• Bold approaches are needed for assessing additionality of policies. To avoid cumbersome assessment of all activities triggered by such policies, highly aggregated approaches are suggested, ranging from payback period thresholds for technologies mandated by regulation to minimum price levels triggered by carbon pricing policies. Over time, the stringency of threshold values should increase.

     

Accounting methods for carbon credits: impacts on the minimum area of forestry projects under the Clean Development Mechanism

Abstract

The Ninth Conference of the Parties (COP-9) decided to adopt an accounting system based on expiring carbon credits to address the problem of non-permanent carbon storage in forests established under the Clean Development Mechanism (CDM). This article reviews and discusses carbon accounting methods that were under consideration before COP-9 and presents a model which calculates the minimum area that forest plantation projects should reach to be able to compensate CDM transaction costs with the revenues from carbon credits. The model compares different accounting methods under various sets of parameters on project management, transaction costs, and carbon prices. Model results show that under current carbon price and average transaction costs, projects with an area of less than 500 ha are excluded from the CDM, whatever accounting method is used. Temporary crediting appears to be the most favorable approach to account for non-permanent carbon removal in forests and also for the feasibility of smaller projects. However, lower prices for credits with finite lifetimes may prevent the establishment of CDM forestry projects. Also, plantation projects with low risk of unexpected carbon loss and sufficient capacity for insuring or buffering the risk of carbon re-emission would benefit from equivalence-adjusted average carbon storage accounting rather than from temporary crediting.     

Characteristics of forest carbon credit transactions in the voluntary carbon market

The voluntary carbon market allows participants to go beyond regulatory carbon offsetting. Recent developments have improved the transparency and credibility of voluntary carbon trading, and forest carbon credit transactions constitute more than half of trade volume. Its workings, however, have not been sufficiently explored in the literature. This study analyses the characteristics of forest carbon credit transactions in the voluntary carbon market using frequency analysis and logistic regression analysis. The results reveal that the co-benefits of forest carbon projects are an important factor influencing carbon credit transactions. From the higher transaction ratio of credits from CCB Standards-labelled projects and projects using co-benefit-oriented standards, it can be inferred that credits with potential for co-benefits (e.g. fostered corporate social responsibility, social cohesion of local communities and voluntary leadership, and positive environmental impacts) are preferred to those focusing exclusively on emission reduction in the voluntary carbon market. The findings of this study suggest that developing co-benefits is important for strengthening the market competitiveness of forest carbon credits in the voluntary carbon market. Additionally, unlike the compliance carbon market, in the voluntary carbon market stringent carbon standards do not always guarantee credit transaction performance.

POLICY RELEVANCE

After UNFCCC COP-21, the global society agreed to acknowledge various forms of international carbon crediting mechanisms, and noted the significance of greenhouse gas emissions reduction for sustainable development and environmental integrity through the Paris Agreement. Moreover, the agreement encouraged both REDD+ activities in developing countries and supports from developed countries. Additionally, co-benefits of forest carbon projects are important for credit transaction in the global voluntary carbon market. Under the new climate regime, co-benefits of forest carbon projects are expected to gain attention in the carbon market. To promote the social, economic, and environmental co-benefits of forest carbon projects, the introduction of an objective co-benefit assessment and certification system should be reviewed at the national level.     

Technical characteristics of a solar geoengineering deployment and implications for governance

ABSTRACT

Consideration of solar geoengineering as a potential response to climate change will demand complex decisions. These include not only the choice of whether to deploy solar engineering, but decisions regarding how to deploy, and ongoing decision-making throughout deployment. Research on the governance of solar geoengineering to date has primarily engaged only with the question of whether to deploy. We examine the science of solar geoengineering in order to clarify the technical dimensions of decisions about deployment – both strategic and operational – and how these might influence governance considerations, while consciously refraining from making specific recommendations. The focus here is on a hypothetical deployment rather than governance of the research itself. We first consider the complexity surrounding the design of a deployment scheme, in particular the complicated and difficult decision of what its objective(s) would be, given that different choices for how to deploy will lead to different climate outcomes. Next, we discuss the on-going decisions across multiple timescales, from the sub-annual to the multi-decadal. For example, feedback approaches might effectively manage some uncertainties, but would require frequent adjustments to the solar geoengineering deployment in response to observations. Other decisions would be tied to the inherently slow process of detection and attribution of climate effects in the presence of natural variability. Both of these present challenges to decision-making. These considerations point toward particular governance requirements, including an important role for technical experts – with all the challenges that entails.

Key policy insights

• Decisions about solar geoengineering deployment will be informed not only by political choices, but also by climate science and engineering.

• Design decisions will pertain to the spatial and temporal goals of a climate intervention and strategies for achieving those goals.

• Some uncertainty can be managed through feedback, but this would require frequent operational decisions.

• Some strategic decisions will depend on the detection and attribution of climatic effects from solar geoengineering, which may take decades.

• Governance for solar geoengineering deployment will likely need to incorporate technical expertise for making short-term adjustments to the deployment and conducting attribution analysis, while also slowing down decisions made in response to attribution analysis to avoid hasty choices.

     

Carbon leakage in aviation policy

ABSTRACT

The inherently global, connected nature of aviation means that carbon leakage from aviation policy does not necessarily behave similarly to leakage from other sectors. We model carbon leakage from a range of aviation policy test cases applied to a specific country (the United Kingdom), motivated by a desire to reduce aviation CO₂ faster than achievable by currently-planned global mitigation efforts in pursuit of a year-2050 net zero CO₂ target. We find that there are two main components to leakage: one related to passenger behaviour, which tends to result in emissions reductions outside the policy area (negative leakage), and one related to airline behaviour, which tends to result in emissions increases outside the policy area (positive leakage). The overall leakage impact of a policy, and whether it is positive or negative, depends on the balance of these two components and the geographic scope used, and varies for different policy types. In our simulations, carbon pricing-type policies were associated with leakage of between +50 and ?150% depending on what is assumed about scope and the values of uncertain parameters. Mandatory biofuel use was associated with positive leakage of around 0–40%, and changes in airport landing costs to promote more fuel-efficient aircraft were associated with positive leakage of 50–150%.

Key policy insights

• Carbon leakage in aviation policy arises from airline responses (typically positive leakage) and passenger responses (typically negative leakage).

• Depending on the geographical scope, policy type and values for uncertain parameters, leakage may be between around ?150 to +150%.

• Of the policies investigated in this study, leakage was typically most negative for carbon pricing and most positive for environmental landing charges.

• Absolute values of leakage are smallest where policies are considered on the basis of all arriving and departing flights.

     

Baseline,leakage and measurement issues: how do forestry and energy projects compare?

Abstract

This paper examines three issues in quantifying project-level emissions reductions (ERs): baseline and additionality determination, leakage assessment, and measurement of net emissions. It finds no systematic differences between land use change and forestry (LUCF) and energy projects in addressing these issues. Rather, the ease of quantification depends on the following:

• ?The level and distribution of direct financial benefits that result from the project, since this is a key determinant of additionality.

• ?The degree to which the project is integrated with a broader physical and economic system, since this determines the amount of leakage.

• ?The internal homogeneity and geographic dispersion of the project components—a key determinant of measurement costs.

These dimensions cut across the energy versus LUCF distinction.     

Electricity regulation in the Chinese national emissions trading scheme (ETS): lessons for carbon leakage and linkage with the EU ETS

Carbon leakage is central to the discussion on how to mitigate climate change. The current carbon leakage literature focuses largely on industrial production, and less attention has been given to carbon leakage from the electricity sector (the largest source of carbon emissions in China). Moreover, very few studies have examined in detail electricity regulation in the Chinese national emissions trading system (which leads, for example, to double counting) or addressed its implications for potential linkage between the EU and Chinese emissions trading systems (ETSs). This article seeks to fill this gap by analysing the problem of ‘carbon leakage’ from the electricity sector under the China ETS. Specifically, a Law & Economics approach is applied to scrutinize legal documents on electricity/carbon regulation and examine the economic incentive structures of stakeholders in the inter-/intra-regional electricity markets. Two forms of ‘electricity carbon leakage’ are identified and further supported by legal evidence and practical cases. Moreover, the article assesses the environmental and economic implications for the EU of potential linkage between the world’s two largest ETSs. In response, policy suggestions are proposed to address electricity carbon leakage, differentiating leakage according to its sources.

Key policy insights

• Electricity carbon leakage in China remains a serious issue that has yet to receive sufficient attention.

• Such leakage arises from the current electricity/carbon regulatory framework in China and jeopardizes mitigation efforts.

• With the US retreat on climate efforts, evidence suggests that EU officials are looking to China and expect an expanded carbon market to reinforce EU global climate leadership.

• Given that the Chinese ETS will be twice the size of the EU ETS, a small amount of carbon leakage in China could have significant repercussions. Electricity carbon leakage should thus be considered in any future EU–China linking negotiations.

     

Health, Safety and Environmental Risks of Underground Co2 Storage – Overview of Mechanisms and Current Knowledge

CO₂ capture and storage (CCS) in geological reservoirs may be part of a strategy to reduce global anthropogenic CO₂ emissions. Insight in the risks associated with underground CO₂ storage is needed to ensure that it can be applied as safe and effective greenhouse mitigation option. This paper aims to give an overview of the current (gaps in) knowledge of risks associated with underground CO₂ storage and research areas that need to be addressed to increase our understanding in those risks. Risks caused by a failure in surface installations are understood and can be minimised by risk abatement technologies and safety measures. The risks caused by underground CO₂ storage (CO₂ and CH₄ leakage, seismicity, ground movement and brine displacement) are less well understood. Main R&D objective is to determine the processes controlling leakage through/along wells, faults and fractures to assess leakage rates and to assess the effects on (marine) ecosystems. Although R&D activities currently being undertaken are working on these issues, it is expected that further demonstration projects and experimental work is needed to provide data for more thorough risk assessment.     

Application of the Multiple Benchmark System (MBS) to selected case study projects

Abstract

Joint Implementation (JI) and the Clean Development Mechanism (CDM) have been established under the Kyoto Protocol as project-based instruments to mitigate greenhouse gases of the industrialized countries to the levels imposed by their Kyoto commitments. An unresolved issue associated with the implementation of these two flexibility mechanisms, concerns the choice of the appropriate baseline for calculating the emission reductions in JI or CDM projects. This article describes a computerized tool that constructs and compares different types of standardized baselines and benchmarks. The analysis focuses on the suitability of several different types of benchmarks for assessing the emission reductions of certain types of projects. The analysis is also expanded into a discussion of the extent to which benchmarks reduce the crediting of non-additional projects and limit the risk of missed additional investments. This tool has been applied to actual JI and CDM projects in the Russian Federation and Indonesia.     

Application of regularised optimal fingerprinting to attribution. Part I: method, properties and idealised analysis

Optimal fingerprinting has been the most widely used method for climate change detection and attribution over the last decade. The implementation of optimal fingerprinting often involves projecting onto k leading empirical orthogonal functions in order to decrease the dimension of the data and improve the estimate of internal climate variability. However, results may be sensitive to k, and the choice of k remains at least partly arbitrary. One alternative, known as regularised optimal fingerprinting (ROF), has been recently proposed for detection. This is an extension of the optimal fingerprinting detection method, which avoids the projection step. Here, we first extend ROF to the attribution problem. This is done using both ordinary and total least square approaches. Internal variability is estimated from long control simulations. The residual consistency test is also adapted to this new method. We then show, via Monte Carlo simulations, that ROF is more accurate than the standard method, in a mean squared error sense. This result holds for both ordinary and total least square statistical models, whatever the chosen truncation k. Finally, ROF is applied to global near-surface temperatures in a perfect model framework. Improvements provided by this new method are illustrated by a detailed comparison with the results from the standard method. Our results support the conclusion that ROF provides a much more objective and somewhat more accurate implementation of optimal fingerprinting in detection and attribution studies.     

Economic consequences of consideration of permanence, leakage and additionality for soil carbon sequestration projects

This paper introduces, explains, and describes methods for addressing the issues of permanence, leakage, and additionality (PLA) of agricultural soil carbon sequestration (ASCS) activities at the project level. It is important to cast these as project-level issues, because they relate to the integrity and consistency of using location-specific ASCS projects as an offset against GHG emissions generated in other sectors (e.g., energy). The underlying objective is to understand and quantify what the net carbon benefits of an ASCS project are once we account for the fact that (1) the sequestered carbon may be stored impermanently, (2) the project may displace emissions outside the project boundaries (leakage), and (3) the project’s carbon sequestration may not be entirely additional to what would have occurred anyway under business-as-usual (no project) conditions. This article evaluates methods for identifying and estimating PLA and gauges the potential magnitude of these effects on the economic returns to a project. This work reflects ongoing collaborative efforts of the authors and Bruce McCarl (Texas A&M University), Allan Sommer, Jui-Chen Yang, and Laurel Clayton (RTI International), Sandra Brown (Winrock International), Ken Andrasko and Ben DeAngelo (US EPA), and various participants in the World Resources Institute/World Business Council workgroup to develop GHG project reporting protocols. All opinions, errors and omissions are those of the authors only.     

Rapid scale-up of negative emissions technologies: social barriers and social implications

We describe a new approach that allows for systematic causal attribution of weather and climate-related events, in near-real time. The method is designed so as to facilitate its implementation at meteorological centers by relying on data and methods that are routinely available when numerically forecasting the weather. We thus show that causal attribution can be obtained as a by-product of data assimilation procedures run on a daily basis to update numerical weather prediction (NWP) models with new atmospheric observations; hence, the proposed methodology can take advantage of the powerful computational and observational capacity of weather forecasting centers. We explain the theoretical rationale of this approach and sketch the most prominent features of a “data assimilation–based detection and attribution” (DADA) procedure. The proposal is illustrated in the context of the classical three-variable Lorenz model with additional forcing. The paper concludes by raising several theoretical and practical questions that need to be addressed to make the proposal operational within NWP centers.