980 resultados para global climate models
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This book contains 13 papers from the 7th Workshop on Global Sourcing, held in Val d'Isere, France, during March 11-14, 2013, which were carefully reviewed and selected from 40 submissions. They are based on a vast empirical base brought together by leading researchers in information systems, strategic management, and operations. This volume is intended for students, academics, and practitioners interested in research results and experiences on outsourcing and offshoring of information technology and business processes. The topics discussed represent both client and supplier perspectives on sourcing of global services, combine theoretical and practical insights regarding challenges that both clients and vendors face, and include case studies from client and vendor organizations.
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The climate modeling, which has adequate spatial and temporal resolution, shows that the future climate of the Carpathian Basin will be much more arid and hot than nowadays. The currently used and taught assortment of the ligneous ornamental plants should be urgently revised. It is aimed in my research to collect the species which will probably be introduced in the future. They can be gathered from the Hungarian botanical gardens and research centers and from the spatially analogous territories. The collected taxa should be examined with GIS software if they will really suffer our future climate.
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Draft Document. Presentation of maps produced from digital LIDAR elevation grids and contoured at 1 ft. levels illustration sea level rise for the Cutler Bay Township in Miami-Dade County.
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This thesis looks at how non-experts develop an opinion on climate change, and how those opinions could be changed by public discourse. I use Hubert Dreyfus’ account of skill acquisition to distinguish between experts and non-experts. I then use a combination of Walter Fisher’s narrative paradigm and the hermeneutics of Paul Ricœur to explore how non-experts form opinions, and how public narratives can provide a point of critique. In order to develop robust narratives, they must be financially realistic. I therefore consider the burgeoning field of environmental, social, and corporate governance (ESG) analysis as a way of informing realistic public narratives. I identify a potential problem with this approach: the Western assumptions of ESG analysis might make for public narratives that are not convincing to a non-Western audience. I then demonstrate how elements of the Chinese tradition, the Confucian, Neo-Confucian, and Daoist schools, as presented by David Hall and Roger Ames, can provide alternative assumptions to ESG analysis so that the public narratives will be more culturally adaptable. This research contributes to the discipline by bringing disparate traditions together in a unique way, into a practical project with a view towards applications. I conclude by considering avenues for further research.
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Reconstructing Northern Hemisphere ice-sheet oscillations and meltwater routing to the ocean is important to better understand the mechanisms behind abrupt climate changes. To date, research efforts have mainly focused on the North American (Laurentide) ice-sheets (LIS), leaving the potential role of the European Ice Sheet (EIS), and of the Scandinavian ice-sheet (SIS) in particular, largely unexplored. Using neodymium isotopes in detrital sediments deposited off the Channel River, we provide a continuous and well-dated record for the evolution of the EIS southern margin through the end of the last glacial period and during the deglaciation. Our results reveal that the evolution of EIS margins was accompanied with substantial ice recession (especially of the SIS) and simultaneous release of meltwater to the North Atlantic. These events occurred both in the course of the EIS to its LGM position (i.e., during Heinrich Stadial –HS– 3 and HS2; ∼31–29 ka and ∼26–23 ka, respectively) and during the deglaciation (i.e., at ∼22 ka, ∼20–19 ka and from 18.2 ± 0.2 to 16.7 ± 0.2 ka that corresponds to the first part of HS1). The deglaciation was discontinuous in character, and similar in timing to that of the southern LIS margin, with moderate ice-sheet retreat (from 22.5 ± 0.2 ka in the Baltic lowlands) as soon as the northern summer insolation increase (from ∼23 ka) and an acceleration of the margin retreat thereafter (from ∼20 ka). Importantly, our results show that EIS retreat events and release of meltwater to the North Atlantic during the deglaciation coincide with AMOC destabilisation and interhemispheric climate changes. They thus suggest that the EIS, together with the LIS, could have played a critical role in the climatic reorganization that accompanied the last deglaciation. Finally, our data suggest that meltwater discharges to the North Atlantic produced by large-scale recession of continental parts of Northern Hemisphere ice sheets during HS, could have been a possible source for the oceanic perturbations (i.e., AMOC shutdown) responsible for the marine-based ice stream purge cycle, or so-called HE's, that punctuate the last glacial period.
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Similar to other developing countries Brazil’s position on climate change emphasises national sovereignty and the principle of “common but differentiated responsibilities”. However, in recent years Brasilia has also announced voluntary reductions in carbon emissions, making Brazil one of the leading emerging countries in its approach to climate change, while enhancing its international reputation and legitimacy. Compared to its neighbours Brazil has older and more developed domestic environmental institutions and movements. Yet, Brazil’s global leadership on climate change does not translate into a similar role in regional environmental governance. In the 2000s Argentina and Uruguay became embroiled in a bitter environmental conflict involving a shared natural resource, the Uruguay River. Brazil not only refused to mediate, but also kept it out of regional forums insisting on the conflict’s bilateral nature. Furthermore, Mercosur’s environmental agenda has progressively become eroded while Brazilian-led Unasur lacks an institutional framework dedicated to environmental concerns. This indicates that environmental concerns are far more important for Brazil’s global image than for its role as a regional leader. It also highlights the limited scope of the climate change negotiations which focus narrowly on reducing carbon emissions, without taking wider concerns over energy generation or environmental and social justice into account. Brazil has promoted hydropower generation, portrayed as “clean” energy. Yet, these projects have sparked strong domestic and regional civil society opposition due to their social and environmental costs which make it difficult for Brazil to claim a regional leadership role on environmental concerns.
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The European Union is the only supranational organisation to have both implemented ‘domestic’ climate change policy and provided leadership for the international community on adaptation and mitigation measures. Although the competence for action in climate change is shared between the national governments and the supranational level of the European Union, on behalf of the EU the European Commission has played a prominent role in international climate change negotiations. The Lisbon Treaty (in force December 2009) brought a number of changes to the institutional framework of the European Union, most significantly to the European Council and the external role of the EU. These changes appear to have added to the complexity which surrounds issues of the external representation of the EU and not simplified them – are there too many ‘Presidents’ of these institutions vying for a role? This paper questions the extent to which these changes will impact on the Commission headed by Jose Manuel Barroso, Barroso II Commission (2009-2014), particularly on Barroso’s ability to provide leadership on ‘domestic’ climate change policy and hence direction to the approach which the EU takes in global climate change politics.
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The semiarid region of northeastern Brazil, the Caatinga, is extremely important due to its biodiversity and endemism. Measurements of plant physiology are crucial to the calibration of Dynamic Global Vegetation Models (DGVMs) that are currently used to simulate the responses of vegetation in face of global changes. In a field work realized in an area of preserved Caatinga forest located in Petrolina, Pernambuco, measurements of carbon assimilation (in response to light and CO2) were performed on 11 individuals of Poincianella microphylla, a native species that is abundant in this region. These data were used to calibrate the maximum carboxylation velocity (Vcmax) used in the INLAND model. The calibration techniques used were Multiple Linear Regression (MLR), and data mining techniques as the Classification And Regression Tree (CART) and K-MEANS. The results were compared to the UNCALIBRATED model. It was found that simulated Gross Primary Productivity (GPP) reached 72% of observed GPP when using the calibrated Vcmax values, whereas the UNCALIBRATED approach accounted for 42% of observed GPP. Thus, this work shows the benefits of calibrating DGVMs using field ecophysiological measurements, especially in areas where field data is scarce or non-existent, such as in the Caatinga
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El Niño-Southern Oscillation (ENSO) è il maggiore fenomeno climatico che avviene a livello dell’Oceano Pacifico tropicale e che ha influenze ambientali, climatiche e socioeconomiche a larga scala. In questa tesi si ripercorrono i passi principali che sono stati fatti per tentare di comprendere un fenomeno così complesso. Per prima cosa, si sono studiati i meccanismi che ne governano la dinamica, fino alla formulazione del modello matematico chiamato Delayed Oscillator (DO) model, proposto da Suarez e Schopf nel 1988. In seguito, per tenere conto della natura caotica del sistema studiato, si è introdotto nel modello lo schema chiamato Stochastically Perturbed Parameterisation Tendencies (SPPT). Infine, si sono portati due esempi di soluzione numerica del DO, sia con che senza l’introduzione della correzione apportata dallo schema SPPT, e si è visto in che misura SPPT porta reali miglioramenti al modello studiato.
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O Painel Intergovernamental sobre Mudanças Climáticas (IPCC) através do seu Quarto Relatório de Avaliação das Mudanças Climáticas Globais (IPCC-AR4), publicado em 2007, atribui as emissões de gases de efeito estufa como a principal causa do aumento médio das temperaturas e alerta para uma elevação entre 1,8 ºC e 6,4 ºC até 2100, podendo modificar assim a aptidão climática para as culturas agrícolas em diversas regiões do planeta. Diante disso, existe a necessidade de substituição dos combustíveis fósseis por fontes renováveis e limpas de energia, como o etanol. A cana-de-açúcar apresenta-se, portanto, como uma cultura estratégica na produção do etanol. O presente trabalho teve como objetivos: 1) avaliar o desempenho dos Modelos Climáticos Globais (MCGs) do IPCC-AR4 na simulação de dados climáticos de temperatura do ar e precipitação pluviométrica para o período anual e mensal; 2) elaborar o zoneamento agroclimático da cana-de-açúcar para a América do Sul considerando o clima referência e o futuro para as décadas de 2020, 2050 e 2080 em função do cenário de emissão A1B considerado pessimista e que usa um equilíbrio entre todas as fontes de energia. Para a avaliação do desempenho dos MCGs, foram utilizados dados climáticos médios mensais observados de precipitação e temperatura do ar provenientes do Climatic Research Unit (CRU) e dados simulados oriundos dos 22 MCGs do IPCC (cenário 20c3m) compreendidos entre o período de 1961-1990, além do Multimodel (ensemble) – MM que é a média da combinação dos dados de todos os modelos. O desempenho dos MCGs foi avaliado pelos índices estatísticos: desvio padrão, correlação, raiz quadrada da média do quadrado das diferenças centralizadas e o “bias” dos dados simulados com os observados, que foram representados no diagrama de Taylor. Para a etapa da elaboração do zoneamento agroclimático procedeu-se o cálculo dos balanços hídricos (referência e futuros) da cultura, pelo método de Thornthwaite & Mather (1955). Para o cenário referência, utilizaram-se dados das médias mensais da precipitação e temperatura provenientes do CRU, enquanto que para as projeções futuras, dados provenientes das anomalias do Multimodel (ensemble) – MM para as décadas de 2020, 2050 e 2080, que foram ajustados, obtendo-se assim as projeções futuras para cada período analisado. Baseado nos mapas temáticos reclassificados de deficiência hídrica anual, temperatura média anual, excedente hídrico anual e no índice de satisfação das necessidades de água (ISNA), realizou-se uma sobreposição dessas informações obtendo assim, os mapas finais do zoneamento agroclimático da cana-de-açúcar. Posteriormente ao zoneamento, realizou-se a análise das transições (ganhos, perdas e persistências) entre as classes de aptidão climática da cultura. Os resultados mostram que o Multimodel (ensemble) – MM para o período mensal apresenta o melhor desempenho entre os modelos analisados. As áreas inaptas correspondem a maior parte da América do Sul e uma expressiva transição entre as classes de aptidão climática da cultura.
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El canvi climàtic del segle XXI és una realitat, hi ha moltes evidències científiques que indiquen que l’escalfament del sistema climàtic és inequívoc. Malgrat això, també hi ha moltes incerteses respecte els impactes que pot comportar aquest canvi climàtic global. L’objectiu d’aquest projecte és estudiar la possible evolució futura de tres variables climàtiques, que són el rang de la temperatura diürna a prop de la superfície (DTR), la temperatura mitjana a prop de la superfície (MT) i la precipitació mensual (PL_mes) i valorar l’exposició que poden experimentar diferents cobertes del sòl i diferents regions biogeogràfiques del continent europeu davant d’aquests possibles patrons de canvi. Per això s’han utilitzat Models Climàtics Globals que fan projeccions de variables climàtiques que permeten preveure el possible clima futur. Mitjançant l’aplicatiu informàtic Tetyn s’han extret els paràmetres climàtics dels conjunts de dades del Tyndall Centre for Climate Change Research, del futur (TYN SC) i del passat (CRU TS). Les variables obtingudes s’han processat amb eines de sistemes d’informació geogràfica (SIG) per obtenir els patrons de canvi de les variables a cada coberta del sòl. Els resultats obtinguts mostren que hi ha una gran variabilitat, que augmenta amb el temps, entre els diferents models climàtics i escenaris considerats, que posa de manifest la incertesa associada a la modelització climàtica, a la generació d’escenaris d’emissions i a la naturalesa dinàmica i no determinista del sistema climàtic. Però en general, mostren que les glaceres seran una de les cobertes més exposades al canvi climàtic, i la mediterrània, una de les regions més vulnerables
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English abstract: The impact of increasing carbon dioxide on the climate of northern Europe in global climate models
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We explore the potential for making statistical decadal predictions of sea surface temperatures (SSTs) in a perfect model analysis, with a focus on the Atlantic basin. Various statistical methods (Lagged correlations, Linear Inverse Modelling and Constructed Analogue) are found to have significant skill in predicting the internal variability of Atlantic SSTs for up to a decade ahead in control integrations of two different global climate models (GCMs), namely HadCM3 and HadGEM1. Statistical methods which consider non-local information tend to perform best, but which is the most successful statistical method depends on the region considered, GCM data used and prediction lead time. However, the Constructed Analogue method tends to have the highest skill at longer lead times. Importantly, the regions of greatest prediction skill can be very different to regions identified as potentially predictable from variance explained arguments. This finding suggests that significant local decadal variability is not necessarily a prerequisite for skillful decadal predictions, and that the statistical methods are capturing some of the dynamics of low-frequency SST evolution. In particular, using data from HadGEM1, significant skill at lead times of 6–10 years is found in the tropical North Atlantic, a region with relatively little decadal variability compared to interannual variability. This skill appears to come from reconstructing the SSTs in the far north Atlantic, suggesting that the more northern latitudes are optimal for SST observations to improve predictions. We additionally explore whether adding sub-surface temperature data improves these decadal statistical predictions, and find that, again, it depends on the region, prediction lead time and GCM data used. Overall, we argue that the estimated prediction skill motivates the further development of statistical decadal predictions of SSTs as a benchmark for current and future GCM-based decadal climate predictions.
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In the last decade, a vast number of land surface schemes has been designed for use in global climate models, atmospheric weather prediction, mesoscale numerical models, ecological models, and models of global changes. Since land surface schemes are designed for different purposes they have various levels of complexity in the treatment of bare soil processes, vegetation, and soil water movement. This paper is a contribution to a little group of papers dealing with intercomparison of differently designed and oriented land surface schemes. For that purpose we have chosen three schemes for classification: i) global climate models, BATS (Dickinson et al., 1986; Dickinson et al., 1992); ii) mesoscale and ecological models, LEAF (Lee, 1992) and iii) mesoscale models, LAPS (Mihailović, 1996; Mihailović and Kallos, 1997; Mihailović et al., 1999) according to the Shao et al. (1995) classification. These schemes were compared using surface fluxes and leaf temperature outputs obtained by time integrations of data sets derived from the micrometeorological measurements above a maize field at an experimental site in De Sinderhoeve (The Netherlands) for 18 August, 8 September, and 4 October 1988. Finally, comparison of the schemes was supported applying a simple statistical analysis on the surface flux outputs.