942 resultados para Climate Impact


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This paper analyses the extent of European Union (EU) actorness and effectiveness at the fifteenth United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP) meeting in Copenhagen in December 2009. For over a decade the European Union has been characterised as a leader in international climate policy-making and as an important actor in international climate change negotiations. The COP15 meeting in Copenhagen has overall brought about disappointing outcomes, especially from the perspective of the European Union. This casts doubts on EU leadership and begs the question of what has happened to EU actorness and effectiveness in this field. In terms of actorness we take Jupille and Caporaso (1998) as a point of departure and then specify a more parsimonious actorness framework that consists of cohesion and autonomy. Effectiveness (i.e. goal attainment) is seen as conceptually separate from actorness. Effectiveness is conceptualised as the result of actorness conditioned by the ‘opportunity structure’, i.e. the external context (of other actors, events and ideas) that enables or constrains EU actions. We hold that the EU’s actorness has been only moderate, especially given somewhat limited preference cohesion. In terms of the opportunity structure in Copenhagen we argue that the high degree of politicisation constrained the EU’s ability to negotiate and thus to attain its goals. Another external factor that had a substantial adverse impact on the EU’s effectiveness at the Copenhagen negotiations was the strong involvement of other actors with rather different positions, namely the United States (US) and the BASIC countries (Brazil, South Africa, India, and China).

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The European Council Summit of 23-24 October 2014 may have been relatively low key, but many important decisions were made which could encourage historical changes. In this post-summit analysis, Janis A. Emmanouilidis examines the agreement reached on a new climate and energy policy framework for 2020-2030 which despite falling short of the European Commission’s original proposals, it nevertheless delivers a positive message to international community ahead of the global climate negotiations next year. He also highlights the significance of the request from euro-zone leaders for a new report on ‘better economic governance’ by December. More broadly, he uses this moment of transition in the EU’s leadership to analyse the current state and future direction of the Union, and underlines the need to provide a coherent and holistic response to the damage caused by the crisis and the challenges facing the Union, on the basis of an ambitious but pragmatic ‘package deal’ – a new pact between EU governments, and between the Union and its citizens – to heal the divisions of recent years and restore public faith in the benefits of EU membership.

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This BEEP explains the mechanism of the EU Emissions Trading System (ETS) for the greenhouse gas carbon dioxide and explore into its likely sustainability impact on European industry. In doing so, it focuses on energy-intensive industries like cement, steel and aluminium production as well as on the emerging hydrogen economy. The BEEP concludes that at the moment it is still very inconsistently implemented and has a fairly narrow scope regarding greenhouse gases and involved sectors. It may also give an incentive to relocate for energy-intensive industries. In its current format, the EU ETS does not yet properly facilitate long term innovation dynamics such as the transition to a hydrogen economy. Nevertheless, the EU ETS is foremost a working system that – with some improvements – has the potential to become a pillar for effective and efficient climate change policy that also gives incentives for investment into climate friendly policies.

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This paper establishes and measures key biodiversity and ecosystem health indicators and the number of world heritage sites in coastal areas at global level. It then estimates – econometrically – the indicators’ influence on the provision of tourism values through the marine ecosystem function as a harbour of biodiversity, and as a provider of amenity values and marine cultural identity. The report then focuses on the MEDPRO region, providing some estimates of the potential impact of climate change on these services for a given temperature increase scenario. Finally, the effect on ecosystemrelated tourism is computed for the four MEDPRO social economic scenarios. The analysis is enriched by some quantification of the potential costs of adaptation.

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The eruption of Tambora (Indonesia) in April 1815 had substantial effects on global climate and led to the ‘Year Without a Summer’ of 1816 in Europe and North America. Although a tragic event — tens of thousands of people lost their lives — the eruption also was an ‘experiment of nature’ from which science has learned until today. The aim of this study is to summarize our current understanding of the Tambora eruption and its effects on climate as expressed in early instrumental observations, climate proxies and geological evidence, climate reconstructions, and model simulations. Progress has been made with respect to our understanding of the eruption process and estimated amount of SO2 injected into the atmosphere, although large uncertainties still exist with respect to altitude and hemispheric distribution of Tambora aerosols. With respect to climate effects, the global and Northern Hemispheric cooling are well constrained by proxies whereas there is no strong signal in Southern Hemisphere proxies. Newly recovered early instrumental information for Western Europe and parts of North America, regions with particularly strong climate effects, allow Tambora’s effect on the weather systems to be addressed. Climate models respond to prescribed Tambora-like forcing with a strengthening of the wintertime stratospheric polar vortex, global cooling and a slowdown of the water cycle, weakening of the summer monsoon circulations, a strengthening of the Atlantic Meridional Overturning Circulation, and a decrease of atmospheric CO₂. Combining observations, climate proxies, and model simulations for the case of Tambora, a better understanding of climate processes has emerged.

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Abrupt climate changes from 18 to 15 thousand years before present (kyr BP) associated with Heinrich Event 1 (HE1) had a strong impact on vegetation patterns not only at high latitudes of the Northern Hemisphere, but also in the tropical regions around the Atlantic Ocean. To gain a better understanding of the linkage between high and low latitudes, we used the University of Victoria (UVic) Earth System-Climate Model (ESCM) with dynamical vegetation and land surface components to simulate four scenarios of climate-vegetation interaction: the pre-industrial era, the Last Glacial Maximum (LGM), and a Heinrich-like event with two different climate backgrounds (interglacial and glacial). We calculated mega-biomes from the plant-functional types (PFTs) generated by the model to allow for a direct comparison between model results and palynological vegetation reconstructions. Our calculated mega-biomes for the pre-industrial period and the LGM corresponded well with biome reconstructions of the modern and LGM time slices, respectively, except that our pre-industrial simulation predicted the dominance of grassland in southern Europe and our LGM simulation resulted in more forest cover in tropical and sub-tropical South America. The HE1-like simulation with a glacial climate background produced sea-surface temperature patterns and enhanced inter-hemispheric thermal gradients in accordance with the "bipolar seesaw" hypothesis. We found that the cooling of the Northern Hemisphere caused a southward shift of those PFTs that are indicative of an increased desertification and a retreat of broadleaf forests in West Africa and northern South America. The mega-biomes from our HE1 simulation agreed well with paleovegetation data from tropical Africa and northern South America. Thus, according to our model-data comparison, the reconstructed vegetation changes for the tropical regions around the Atlantic Ocean were physically consistent with the remote effects of a Heinrich event under a glacial climate background.

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Species distribution models (SDM) predict species occurrence based on statistical relationships with environmental conditions. The R-package biomod2 which includes 10 different SDM techniques and 10 different evaluation methods was used in this study. Macroalgae are the main biomass producers in Potter Cove, King George Island (Isla 25 de Mayo), Antarctica, and they are sensitive to climate change factors such as suspended particulate matter (SPM). Macroalgae presence and absence data were used to test SDMs suitability and, simultaneously, to assess the environmental response of macroalgae as well as to model four scenarios of distribution shifts by varying SPM conditions due to climate change. According to the averaged evaluation scores of Relative Operating Characteristics (ROC) and True scale statistics (TSS) by models, those methods based on a multitude of decision trees such as Random Forest and Classification Tree Analysis, reached the highest predictive power followed by generalized boosted models (GBM) and maximum-entropy approaches (Maxent). The final ensemble model used 135 of 200 calculated models (TSS > 0.7) and identified hard substrate and SPM as the most influencing parameters followed by distance to glacier, total organic carbon (TOC), bathymetry and slope. The climate change scenarios show an invasive reaction of the macroalgae in case of less SPM and a retreat of the macroalgae in case of higher assumed SPM values.

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Anirudh Shingal presents at the joint NCCR Trade Regulation/NCCR Climate Workshop on “Border measures and the PPM issue in the context of climate change”. This presentation explores the possibility of a unilateral tariff increase on the imports of the most carbon-intensive products (identified from literature) from countries non-committed to climate-friendly polices in a bid to push them towards “global” climate policies. The presentation provides a first look at the empirical model to be used as well as the choice of trading partners, carbon-intensive products and the time period. Preliminary statistical analysis undertaken reveals the importance of these products in the trade flows of both importing and exporting countries as well as the existence of low tariffs (on these products) in destination markets.

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ECLAC advocates that the Caribbean’s high debt dilemma was not principally driven by policy missteps, or the international financial crisis. Rather, it finds its roots in external shocks, compounded by the inherent structural weaknesses and vulnerabilities confronting Caribbean SIDS and their limited capacity to respond. A major factor has been the underperformance of the export sector, partly due to a decline in competitiveness and a slowdown in economic activity especially among the tourism-dependent economies. Caribbean countries have also accumulated debt as a consequence of increased expenditures to address the impact of extreme events and climate change attendant difficulties. Most Caribbean countries are located in the hurricane belt and are also prone to earthquakes and other hazards. Indeed, a disaster resulting in damage and losses in excess of 5 per cent of GDP can be expected to hit any Caribbean country every few years. Moreover, over the period 2000-2014, it is estimated that the economic cost of natural disasters in Caribbean countries was in excess of US$30.7 billion. The English Speaking Caribbean countries are extremely vulnerable to natural disasters.

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High-impact, localized intense rainfall episodes represent a major socio-economic problem for societies worldwide, and at the same time these events are notoriously difficult to simulate properly in climate models. Here, the authors investigate how horizontal resolution and model formulation influence this issue by applying the HARMONIE regional climate model (HCLIM) with three different setups; two using convection parameterization at 15 and 6.25 km horizontal resolution (the latter within the “grey-zone” scale), with lateral boundary conditions provided by ERA-Interim reanalysis and integrated over a pan-European domain, and one with explicit convection at 2 km resolution (HCLIM2) over the Alpine region driven by the 15 km model. Seven summer seasons were sampled and validated against two high-resolution observational data sets. All HCLIM versions underestimate the number of dry days and hours by 20-40%, and overestimate precipitation over the Alpine ridge. Also, only modest added value were found of “grey-zone” resolution. However, the single most important outcome is the substantial added value in HCLIM2 compared to the coarser model versions at sub-daily time scales. It better captures the local-to-regional spatial patterns of precipitation reflecting a more realistic representation of the local and meso-scale dynamics. Further, the duration and spatial frequency of precipitation events, as well as extremes, are closer to observations. These characteristics are key ingredients in heavy rainfall events and associated flash floods, and the outstanding results using HCLIM in convection-permitting setting are convincing and encourage further use of the model to study changes in such events in changing climates.

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Thesis (Ph.D.)--University of Washington, 2016-06

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The present paper argues that the costs of climate change are primarily adjustment costs. The central result is that climate change will reduce welfare whenever it occurs more rapidly than the rate at which capital stocks (interpreted broadly to include natural resource stocks) would naturally adjust through market processes. The costs of climate change can be large even when lands are close to their climatic optimum, or evenly distributed both above and below that optimum.

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The El Nino-Southern Oscillation (ENSO) phenomenon significantly impacts rainfall and ensuing crop yields in many parts of the world. In Australia, El Nino events are often associated with severe drought conditions. However, El Nino events differ spatially and temporally in their manifestations and impacts, reducing the relevance of ENSO-based seasonal forecasts. In this analysis, three putative types of El Nino are identified among the 24 occurrences since the beginning of the twentieth century. The three types are based on coherent spatial patterns (footprints) found in the El Nino impact on Australian wheat yield. This bioindicator reveals aligned spatial patterns in rainfall anomalies, indicating linkage to atmospheric drivers. Analysis of the associated ocean-atmosphere dynamics identifies three types of El Nino differing in the timing of onset and location of major ocean temperature and atmospheric pressure anomalies. Potential causal mechanisms associated with these differences in anomaly patterns need to be investigated further using the increasing capabilities of general circulation models. Any improved predictability would be extremely valuable in forecasting effects of individual El Nino events on agricultural systems.