Systematic scenario process to support analysis of long-term emissions scenarios and transformation pathways for the IPCC WG3 6th Assessment Report

Author(s):  
Edward A. Byers ◽  
Keywan Riahi ◽  
Elmar Kriegler ◽  
Volker Krey ◽  
Roberto Schaeffer ◽  
...  

<p>The assessment of long-term greenhouse gas emissions scenarios and societal transformation pathways is a key component of the IPCC Working Group 3 (WG3) on the Mitigation of Climate Change. A large scientific community, typically using integrated assessment models and econometric frameworks, supports this assessment in understanding both near-term actions and long-term policy responses and goals related to mitigating global warming. WG3 must systematically assess hundreds of scenarios from the literature to gain an in-depth understanding of long-term emissions pathways, across all sectors, leading to various levels of global warming. Systematic assessment and understanding the climate outcomes of each emissions scenario, requires coordinated processes which have developed over consecutive IPCC assessments. Here, we give an overview of the processes involved in the systematic assessment of long-term mitigation pathways as used in recent IPCC Assessments<sup>1</sup> and being further developed for the IPCC 6<sup>th</sup> Assessment Report (AR6). The presentation will explain how modelling teams can submit scenarios to AR6 and invite feedback to the process.</p><p>Following discussions amongst IPCC Lead Authors to define the scope of scenarios desired and variables requested, a call for scenarios to support AR6 was launched in September 2019. Modelling teams have registered and submitted scenarios through Autumn 2019 using a new and secure online submission portal, from which authorised Lead Authors can interrogate the scenarios interactively.</p><p>This analysis is underpinned by the open-source software pyam, a Python package specifically designed for analysis and visualisation of integrated assessment scenarios<sup>2</sup>. Submitted scenarios are automatically checked for errors and processed using a new climate assessment pipeline. The climate assessment involves infilling and harmonization<sup>3</sup> of emissions data, then the scenarios are processed through Simple Climate Models, using the OpenSCM framework<sup>4</sup>, to give probabilistic climate implications for each scenario – atmospheric concentrations, radiative forcing and global mean temperature. The climate assessment accounts for updated climate sensitivity estimates from CMIP6 and WG1,s scenarios are categorized according to climate outcomes and distinguish between timing and levels of net-negative emissions, emissions peak and temperature overshoot. Scenarios are also categorized by other indicators, for consistent use across WG3 chapters, such as: population and GDP; Primary and Final energy use; and shares of renewables, bioenergy and fossil fuels.</p><p>The automated framework also facilitates bolt-on analyses, such as estimating the population impacted by biophysical climate impacts<sup>5</sup>, and estimates of avoided damages with the social cost of carbon<sup>6</sup>.</p><p>Upon publication of the WG3 AR6 report, all scenario data used in the WG3 Assessment will be publicly available on a Scenario Explorer, an online tool for interrogating and visualizing the data that supports the report. In combination, this framework brings new levels of consistency, transparency and reproducibility to the assessment of scenarios in IPCC WG3 and will be a key resource for the climate community in understanding the main drivers of different transformation pathways.</p><ol><li>Huppmman et al 2018, Nature Climate Change</li> <li>Gidden and Huppmann, 2019, Journal of Open Source Software</li> <li>Gidden et al 2018 Environ. Model. Softw</li> <li>Nicholls et al 2020</li> <li>Byers et al 2018 Environmental Research Letters</li> <li>Ricke et al 2018 Nature Climate Change</li> </ol>

2017 ◽  
Author(s):  
Homayoun Fathollahzadeh ◽  
Fabio Kaczala ◽  
Amit Bhatnagar ◽  
William Hogland

The main dilemma of contaminated sediments has been the proper management with reduced environmental footprints. Furthermore, by considering the fact that global warming and climate change may complicate the choice of management options, finding appropriate solutions become extremely critical. In the present work, mining of contaminated sediments to recover valuable constituents such as metals and nutrients is proposed as sustainable strategy, both through enhancing resilience of ecosystem and remediation. Contaminated sediments in the Oskarshamn harbor, southeast of Sweden were collected and analyzed through a modified sequential extraction in order to evaluate the feasibility of metals recovery. The results have shown that among different metals present in the sediments, Cu and Pb can be initially considered as economically feasible to recover. The shifting in the concept of dredging and further remediation of contaminated sediments towards sediment mining and recover of valuable metals can be considered in the near future as a sustainable strategy to tackle contaminated harbor/ports areas. However, it must be highlighted that short and long-term environmental impacts related to such activities should be addressed.


2020 ◽  
Author(s):  
Joeri Rogelj ◽  
Daniel Huppmann ◽  
Volker Krey ◽  
Keywan Riahi ◽  
Leon Clarke ◽  
...  

<p>To understand how global warming can be kept well-below 2°C and even 1.5°C, climate policy uses scenarios that describe how society could transform in order to reduce its greenhouse gas emissions. Such scenario are typically created with integrated assessment models that include a representation of the economy, and the energy, land-use, and industrial system. However, current climate change scenarios have a key weakness in that they typically focus on reaching specific climate goals in 2100 only. <br><br>This choice results in risky pathways that delay action and seemingly inevitably rely on large quantities of carbon-dioxide removal after mid-century. Here we propose a framework that more closely reflects the intentions of the UN Paris Agreement. It focusses on reaching a peak in global warming with either stabilisation or reversal thereafter. This approach provides a critical extension of the widely used Shared Socioecononomic Pathways (SSP) framework and reveals a more diverse picture: an inevitable transition period of aggressive near-term climate action to reach carbon neutrality can be followed by a variety of long-term states. It allows policymakers to explicitly consider near-term climate strategies in the context of intergenerational equity and long-term sustainability.</p>


Author(s):  
David W. Orr

In our final hour (2003), cambridge university astronomer Martin Rees concluded that the odds of global civilization surviving to the year 2100 are no better than one in two. His assessment of threats to humankind ranging from climate change to a collision of Earth with an asteroid received good reviews in the science press, but not a peep from any political leader and scant notice from the media. Compare that nonresponse to a hypothetical story reporting, say, that the president had had an affair. The blow-dried electronic pundits, along with politicians of all kinds, would have spared no effort to expose and analyze the situation down to parts per million. But Rees’s was only one of many credible and well-documented warnings from scientists going back decades, including the Fourth Assessment Report from the Intergovernmental Panel on Climate Change (2007). All were greeted with varying levels of denial, indifference, and misinterpretation, or were simply ignored altogether. It is said to be a crime to cause panic in a crowded theater by yelling “fire” without cause, but is it less criminal not to warn people when the theater is indeed burning? My starting point is the oddly tepid response by U.S. leaders at virtually all levels to global warming, more accurately described as “global destabilization.” I will be as optimistic as a careful reading of the evidence permits and assume that leaders will rouse themselves to act in time to stabilize and then reduce concentrations of greenhouse gases below the level at which we lose control of the climate altogether by the effects of what scientists call “positive carbon cycle feedbacks.” Even so, with a warming approaching or above 2°C we will not escape severe social, economic, and political trauma. In an e-mail to the author on November 19, 2007, ecologist and founder of the Woods Hole Research Center George Woodwell puts it this way: . . . There is an unfortunate fiction abroad that if we can hold the temperature rise to 2 or 3 degrees C we can accommodate the changes. The proposition is the worst of wishful thinking.


2016 ◽  
Vol 9 (9) ◽  
pp. 3461-3482 ◽  
Author(s):  
Brian C. O'Neill ◽  
Claudia Tebaldi ◽  
Detlef P. van Vuuren ◽  
Veronika Eyring ◽  
Pierre Friedlingstein ◽  
...  

Abstract. Projections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017–2018 time frame, and output from the climate model projections made available and analyses performed over the 2018–2020 period.


2008 ◽  
Vol 12 (1) ◽  
pp. 239-255 ◽  
Author(s):  
E. McBean ◽  
H. Motiee

Abstract. In the threshold of the appearance of global warming from theory to reality, extensive research has focused on predicting the impact of potential climate change on water resources using results from Global Circulation Models (GCMs). This research carries this further by statistical analyses of long term meteorological and hydrological data. Seventy years of historical trends in precipitation, temperature, and streamflows in the Great Lakes of North America are developed using long term regression analyses and Mann-Kendall statistics. The results generated by the two statistical procedures are in agreement and demonstrate that many of these variables are experiencing statistically significant increases over a seven-decade period. The trend lines of streamflows in the three rivers of St. Clair, Niagara and St. Lawrence, and precipitation levels over four of the five Great Lakes, show statistically significant increases in flows and precipitation. Further, precipitation rates as predicted using fitted regression lines are compared with scenarios from GCMs and demonstrate similar forecast predictions for Lake Superior. Trend projections from historical data are higher than GCM predictions for Lakes Michigan/Huron. Significant variability in predictions, as developed from alternative GCMs, is noted. Given the general agreement as derived from very different procedures, predictions extrapolated from historical trends and from GCMs, there is evidence that hydrologic changes particularly for the precipitation in the Great Lakes Basin may be demonstrating influences arising from global warming and climate change.


2014 ◽  
Vol 05 (01) ◽  
pp. 1440001 ◽  
Author(s):  
T. KOBER ◽  
B. C. C. VAN DER ZWAAN ◽  
H. RÖSLER

In this article we explore regional burden-sharing regimes for the allocation of greenhouse gas emission reduction obligations needed to reach a 2°C long-term global climate change control target by performing an integrated energy-economy-climate assessment with the bottom–up TIAM-ECN model. Our main finding is that, under a burden-sharing scheme based on the allowed emissions per capita, the sum of merchandized carbon certificates yields about 2000 billion US$/yr worth of inter-regional trade around 2050, with China and Latin America the major buyers, respectively Africa, India, and other Asia the main sellers. Under a burden-sharing regime that aims at equal cost distribution, the aggregated amount of transacted carbon certificates involves less than 500 billion US$/yr worth of international trade by 2050, with China and other Asia representing the vast majority of selling capacity. Restrictions in the opportunities for international certificate trade can have significant short- to mid-term impact, with an increase in global climate policy costs of up to 20%.


2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Hassan Bazazzadeh ◽  
Adam Nadolny ◽  
Seyedeh Sara Hashemi Safaei

The growth of urban population as the result of economic and industrial development has changed our place of living from a prosperous place to where the resources are carelessly consumed. On the other hand, long-term climate change, i.e. global warming, has had adverse impact on our resources. Certain resources are on the verge of depletion as the consequence of climate change and inconsiderate consumption of resources, unless serious measures are implemented immediately. The building sector, whose share in the municipal energy consumption is considerably high, is a key player that may successfully solve the problem. This paper aims to study the effects of climate change on the energy consumption of buildings and analyze its magnitude to increase the awareness of how construction can reduce the overall global energy consumption. A descriptive-analytical method has been applied to analyze valid models of energy consumption according to different scenarios and to interpret the conditions underlying current and future energy consumption of buildings. The results clearly show that the energy consumption in the building sector increasingly depends on the cooling demand. With that being said, we can expect the reduction of overall energy consumption of buildings in regions with high heating demands, whereas rising the energy consumption in buildings is expected in regions with high cooling demand. To conclude, the long-term climate change (e.g. global warming) underlies the increased energy consumption for the cooling demand whose share in total energy consumption of buildings much outweighs the heating demand. Therefore, to conserve our resources, urban energy planning and management should focus on working up a proper framework of guidelines on how to mitigate the cooling loads in the energy consumption patterns of buildings.


Author(s):  
N.V. Danilova

The signals of global warming are now being observed throughout the world. Data of hydrometeorological centres show a significant increase of temperature in many regions accompanied by intense frequency of dry periods. Some substantial and direct effects of climate change may be already noticed at present time. Over the next several decades they will be observed in agriculture. Increase of temperature and reduction of precipitation volumes will probably lead to decrease the level of yield. These changes can significantly affect the global food security. Ukraine is known for its fertile soil and agricultural products, so it has a huge agricultural potential, contributing, in fact, to the global food security. However, the observed weather changes, increase of average temperature and uneven distribution of rainfalls can result in sharp transformation of most of agricultural and climatic zones of Ukraine. According to international processes there is an urgent need for improvement of adaptation to climate change of some branches of national economy of Ukraine, including of agriculture. Expanding the range of types of millet used in agricultural production is an economically feasible process that should be implemented in view of significant climate changes resulting in global warming which is widely discussed in scientific literature. Rapid introduction in crop shifts of the millet that is able to withstand recurring periodic droughts, especially in the southern regions, is one of the ways allowing to overcome the consequences of such extreme conditions. Conditions of the southern regions are favourable for millet crop. Millet is one of the most drought-resistant and heat-resistant crops that can sustain heat injuries and seizures and this is very important for arid areas during dry years, when other crops significantly reduce the level of yield. We studied changes of agro-climatic resources and agro-climatic conditions for formation of millet productivity for various periods of time. The analysis of climate change trend was performed through comparing of data as per climatic scenarios A2 and A1B and of average long-term characteristics of climatic and agro-climatic indicators. The comparative description of millet productivity under the conditions of climate change as per average long-term data (1986-2005) and as per scenarios A2 and A1B of climate change (2011-2030 and 2031-2050) was also performed.


2021 ◽  
Vol 18 (24) ◽  
pp. 6567-6578
Author(s):  
Ádám T. Kocsis ◽  
Qianshuo Zhao ◽  
Mark J. Costello ◽  
Wolfgang Kiessling

Abstract. Anthropogenic climate change is increasingly threatening biodiversity on a global scale. Rich spots of biodiversity, regions with exceptionally high endemism and/or number of species, are a top priority for nature conservation. Terrestrial studies have hypothesized that rich spots occur in places where long-term climate change was dampened relative to other regions. Here we tested whether biodiversity rich spots are likely to provide refugia for organisms during anthropogenic climate change. We assessed the spatial distribution of both historic (absolute temperature change and climate change velocities) and projected climate change in terrestrial, freshwater, and marine rich spots. Our analyses confirm the general consensus that global warming will impact almost all rich spots of all three realms and suggest that their characteristic biota is expected to witness similar forcing to other areas, including range shifts and elevated risk of extinction. Marine rich spots seem to be particularly sensitive to global warming: they have warmed more, have higher climate velocities, and are projected to experience higher future warming than non-rich-spot areas. However, our results also suggest that terrestrial and freshwater rich spots will be somewhat less affected than other areas. These findings emphasize the urgency of protecting a comprehensive and representative network of biodiversity-rich areas that accommodate species range shifts under climate change.


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