CICERO Research Archive (CICERO Senter for klimaforskning)
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    1083 research outputs found

    An Endogenous Emission Cap Produces a Green Paradox

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    The European Union’s Emissions Trading System (EU ETS) is complemented by a Market Stability Reserve (MSR). After a major revision of the EU ETS in 2018, the MSR effectively makes the supply of allowances responsive to demand. In this paper, we show that a cap-and-trade scheme with an endogenous cap, such as the EU ETS produces a green paradox. Abatement policies announced early but realized in the future are counter-effective because of the MSR, they increase cumulative emissions. We present the mechanisms in a two-period model, and then provide quantitative evidence of our result for an annual model disciplined on the price rise in the EU ETS that followed the introduction of the MSR. Our results point to the need for better coordination between different policies, such as the “European Green Deal.” We conclude with suggestions to improve the workings of an endogenous cap, ahead of the MSR review scheduled for 2021.publishedVersio

    Understanding Top-of-Atmosphere Flux Bias in the AeroCom Phase III Models: A Clear-Sky Perspective

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    Biases in aerosol optical depths (AOD) and land surface albedos in the AeroCom models are manifested in the top-of-atmosphere (TOA) clear-sky reflected shortwave (SW) fluxes. Biases in the SW fluxes from AeroCom models are quantitatively related to biases in AOD and land surface albedo by using their radiative kernels. Over ocean, AOD contributes about 25% to the urn:x-wiley:19422466:media:jame21429:jame21429-math-0001S–urn:x-wiley:19422466:media:jame21429:jame21429-math-0002N mean SW flux bias for the multi-model mean (MMM) result. Over land, AOD and land surface albedo contribute about 40% and 30%, respectively, to the urn:x-wiley:19422466:media:jame21429:jame21429-math-0003S–urn:x-wiley:19422466:media:jame21429:jame21429-math-0004N mean SW flux bias for the MMM result. Furthermore, the spatial patterns of the SW flux biases derived from the radiative kernels are very similar to those between models and CERES observation, with the correlation coefficient of 0.6 over ocean and 0.76 over land for MMM using data of 2010. Satellite data used in this evaluation are derived independently from each other, consistencies in their bias patterns when compared with model simulations suggest that these patterns are robust. This highlights the importance of evaluating related variables in a synergistic manner to provide an unambiguous assessment of the models, as results from single parameter assessments are often confounded by measurement uncertainty. Model biases in land surface albedos can and must be corrected to accurately calculate TOA flux. We also compare the AOD trend from three models with the observation-based counterpart. These models reproduce all notable trends in AOD except the decreasing trend over eastern China and the adjacent oceanic regions due to limitations in the emission data set.publishedVersio

    Post-Paris policy relevance: lessons from the IPCC SR15 process

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    Policy relevance is the raison d’être for the Intergovernmental Panel on Climate Change (IPCC), yet few studies have analysed what the concept entails, not least from the perspective of key target groups for the IPCC. We present a framework which enables analysis of how different actor strategies (heating up and cooling down) contribute to shape relevance-making in specific political situations when IPCC knowledge is interpreted and used. Drawing on empirical evidence from the reception and use of the Special Report on Global Warming of 1.5°C (SR15) across three policy making levels, the paper demonstrates different examples of creating policy relevance. First, the paper analyses the origin of SR15 and the failed attempts to formally acknowledge SR15 in the United Nations Framework Convention on Climate Change (UNFCCC) process. Second, it investigates how SR15 has been used to develop and legitimize the EU net-zero target and the European Green Deal. Third, the paper demonstrates how SR15 has been used both for legitimizing and challenging climate policy at the national level, using the example of Norway. In sum, the reception of SR15 demonstrates that while IPCC outputs have resulted in controversy at the international level, they have been highly relevant at regional and national levels. The analysis shows that policy relevance is context-dependent and indirect—created through processes involving many actors, institutions, and types of knowledge. Situating these findings within the larger shift in the international climate regime implied by the Paris Agreement, the paper concludes with a set of empirically grounded recommendations for how the IPCC may approach the goal of policy relevance post-Paris.publishedVersio

    A future perspective of historical contributions to climate change

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    Countries’ historical contributions to climate change have been on the agenda for more than two decades and will most likely continue to be an element in future international discussions and negotiations on climate. Previous studies have quantified the historical contributions to climate change across a range of choices and assumptions. In contrast, we quantify how historical contributions to changes in global mean surface temperature (GMST) may change in the future for a broad set of choices using the quantification of the shared socioeconomic pathways (SSPs). We calculate the contributions for five coarse geographical regions used in the SSPs. Historical emissions of long-lived gases remain important for future contributions to warming, due to their accumulation and the inertia of climate system, and historical emissions are even more important for strong mitigation scenarios. When only accounting for future emissions, from 2015 to 2100, there is surprisingly little variation in the regional contributions to GMST change between the different SSPs and different mitigation targets. The largest variability in the regional future contributions is found across the different integrated assessment models (IAMs). This suggests the characteristics of the IAMs are more important for calculated future historical contributions than variations across SSP or forcing target.publishedVersio

    The role of community sharing in sustainability transformation: case studies from Norway

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    Based on three case studies of community sharing in different sectors of society, we address how and under what conditions community sharing can contribute to sustainability transformation. Considering modes of exchange an leverage points, we analyze how community sharing can add to transformation when sharing systems are designed to intervene at both shallow and deep leverage points. Our case studies indicate that sustainability transformations are dynamic processes in which even shallow levels of leverage can affect change. We show that community sharing can be upscaled through restructuring institutions via redistributive exchange systems, while initiatives supported by strong and lasting institutions are in the best position to contribute to change. Furthermore, our results suggest that sharing practices may strengthen ties and trust in an enterprise or local community. Finally, community-sharing systems that build on existing values in line with sustainability transformation may be in the best position to contribute to deeper levers of change.publishedVersio

    Metodikk for framstilling av klimaeffekt på kort og lang sikt

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    CICERO Senter for klimaforskning har på oppdrag fra Miljødirektoratet utviklet og illustrert metodikk for framstilling av klimaeffekt på kort og lang sikt. Vi har vurdert klimaeffekt på to forskjellige måter, med vektfaktorer og med en veldig enkel klimamodell for å estimere temperaturbaner av utslippsbaner og utslippstiltak. Analysen bygger på tidligere arbeid CICERO har gjort for Miljødirektoratet. Mandatet CICERO fikk var analysearbeid på disse fire temaene: 1) Vurdering av behovet for å oppdatere GTP(10)-faktoren Miljødirektoratet i dag benytter. 2) Beregne norske utslipp med GTP(10), AGTP, GWP* og eventuelt andre vektfaktorer for ulike tidshorisonter. 3) Metodikk for framstilling av klimaeffekt på kort og lang sikt av ulike utslipp/utslippsreduksjoner i samme figur. 4) Metodikk for kostnadsberegninger.submittedVersio

    Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration

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    Resolving regional carbon budgets is critical for informing land-based mitigation policy. For nine regions covering nearly the whole globe, we collected inventory estimates of carbon-stock changes complemented by satellite estimates of biomass changes where inventory data are missing. The net land–atmospheric carbon exchange (NEE) was calculated by taking the sum of the carbon-stock change and lateral carbon fluxes from crop and wood trade, and riverine-carbon export to the ocean. Summing up NEE from all regions, we obtained a global ‘bottom-up’ NEE for net land anthropogenic CO2 uptake of –2.2 ± 0.6 PgC yr−1 consistent with the independent top-down NEE from the global atmospheric carbon budget during 2000–2009. This estimate is so far the most comprehensive global bottom-up carbon budget accounting, which set up an important milestone for global carbon-cycle studies. By decomposing NEE into component fluxes, we found that global soil heterotrophic respiration amounts to a source of CO2 of 39 PgC yr−1 with an interquartile of 33–46 PgC yr−1—a much smaller portion of net primary productivity than previously reported.publishedVersio

    Health Benefits and Costs of Clean Heating Renovation: An Integrated Assessment in a Major Chinese City

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    China has been promoting one of the world’s largest campaigns for clean heating renovation since 2017. Here, we present an integrated cost–benefit analysis in a major prefecture-level city by combining a large-scale household energy survey and PM2.5 exposure measurement, high-resolution chemical transport simulation, and health impact assessment. We find that the completed renovation decreases the share of solid fuels in the heating energy mix from 96 to 6% and achieves a concomitant reduction of cooking solid-fuel use by 70%. The completed renovation decreases the ambient PM2.5 concentration in Linfen by 0.5–5 μg m–3 (2.4 μg m–3 on average) and decreases the integrated PM2.5 exposure by 4.2 (3.5–5.0) μg m–3. The renovation is estimated to avoid 162 (125–225) and 328 (254–457) premature deaths annually based on two health impact assessment methods. The ratios of monetized health benefits to cost are 1.51 (0.73–2.59) and 3.06 (1.49–5.23) based on the above two methods. The benefit-to-cost ratio is projected to remain high if the renovation is further expanded. More polluted and less wealthy households enjoy larger health benefits but also experience a higher expense increase, suggesting that a more carefully designed subsidy policy is needed to protect low-income households.submittedVersio

    Mobility in Blue-Green Spaces Does Not Predict COVID-19 Transmission: A Global Analysis

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    Mobility restrictions during the COVID-19 pandemic ostensibly prevented the public from transmitting the disease in public places, but they also hampered outdoor recreation, despite the importance of blue-green spaces (e.g., parks and natural areas) for physical and mental health. We assess whether restrictions on human movement, particularly in blue-green spaces, affected the transmission of COVID-19. Our assessment uses a spatially resolved dataset of COVID-19 case numbers for 848 administrative units across 153 countries during the first year of the pandemic (February 2020 to February 2021). We measure mobility in blue-green spaces with planetary-scale aggregate and anonymized mobility flows derived from mobile phone tracking data. We then use machine learning forecast models and linear mixed-effects models to explore predictors of COVID-19 growth rates. After controlling for a number of environmental factors, we find no evidence that increased visits to blue-green space increase COVID-19 transmission. By contrast, increases in the total mobility and relaxation of other non-pharmaceutical interventions such as containment and closure policies predict greater transmission. Ultraviolet radiation stands out as the strongest environmental mitigant of COVID-19 spread, while temperature, humidity, wind speed, and ambient air pollution have little to no effect. Taken together, our analyses produce little evidence to support public health policies that restrict citizens from outdoor mobility in blue-green spaces, which corroborates experimental studies showing low risk of outdoor COVID-19 transmission. However, we acknowledge and discuss some of the challenges of big data approaches to ecological regression analyses such as this, and outline promising directions and opportunities for future researchpublishedVersio

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