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  • Other Sources  (3,654)
  • English  (3,067)
  • German  (567)
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  • 2020-2024  (3,580)
  • 1975-1979  (56)
  • 1950-1954  (18)
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  • 1
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    CERN / Zenodo
    Publication Date: 2022-12-21
    Description: Julia code to calculate recurrence plots of the Rössler system: - calculated from the original continuous data (regular recurrence plot) and - from the events series representing the maxima of the x-component (edit distance recurrence plot).
    Language: English
    Type: info:eu-repo/semantics/other
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  • 2
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    In:  The Climate Book
    Publication Date: 2022-12-22
    Language: English
    Type: info:eu-repo/semantics/bookPart
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  • 3
    Publication Date: 2022-12-22
    Description: This climate risk profile provides an overview of projected climate parameters and related impacts on different sectors in Jordan until 2080, under different climate change scenarios provided (called Represent- ative Concentration Pathways, RCPs). RCP2.6 repre- sents a low emissions scenario that aims to keep global warming below 2 °C above pre-industrial temperatures; RCP6.0 represents a medium to high emissions scenario. Model projections do not account for effects of future socioeconomic impacts.
    Language: English
    Type: info:eu-repo/semantics/report
    Format: application/pdf
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  • 4
    Publication Date: 2023-01-11
    Description: This paper discusses severe risks to food security and nutrition that are linked to ongoing and projected climate change, particularly climate and weather extremes in global warming, drought, flooding, and precipitation. We specifically consider the impacts on populations vulnerable to food insecurity and malnutrition due to lower income, lower access to nutritious food, or social discrimination. The paper defines climate-related “severe risk” in the context of food security and nutrition, using a combination of criteria, including the magnitude and likelihood of adverse consequences, the timing of the risk and the ability to reduce the risk. Severe climate change risks to food security and nutrition are those which result, with high likelihood, in pervasive and persistent food insecurity and malnutrition for millions of people, have the potential for cascading effects beyond the food systems, and against which we have limited ability to prevent or fully respond. The paper uses internationally agreed definitions of risks to food security and nutrition to describe the magnitude of adverse consequences. Moreover, the paper assesses the conditions under which climate change-induced risks to food security and nutrition could become severe based on findings in the literature using different climate change scenarios and shared socioeconomic pathways. Finally, the paper proposes adaptation options, including institutional management and governance actions, that could be taken now to prevent or reduce the severe climate risks to future human food security and nutrition.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 5
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    In:  Journal of the Association of Environmental and Resource Economists
    Publication Date: 2023-01-13
    Description: We examine how optimal renewable energy (RE) support policies need to be adjusted to account for carbon prices. We show theoretically and empirically that changing carbon prices requires adjusting RE subsidies due to two motives. First, RE premiums need to be reduced to reflect the carbon value embedded in the market price. Second, once a coal to gas switch occurs, RE premiums and feed-in tariffs need to be adjusted to account for changes in the marginal external benefit of RE. We use empirical estimations and numerical simulation models to quantify these effects for the United Kingdom. We show that the second effect is empirically small, whereas the first effect requires to completely phase-out RE premiums with increasing carbon prices. Finally, a fuel switch increases solar-induced abatement, whereas wind-induced abatement is rather invariant to a fuel switch. Yet, the differentiation of optimal subsidies between wind and solar power is modest.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 6
    Publication Date: 2023-01-13
    Description: PowerDynamics.jl is a Julia package for time-domain modeling of power grids that is specifically designed for the stability analysis of systems with high shares of renewable energies. It makes use of Julia’s state-of-the-art differential equation solvers and is highly performant even for systems with a large number of components. Further, it is compatible with Julia’s machine learning libraries and allows for the utilization of these methods for dynam- ical optimization and parameter fitting. The package comes with a number of predefined models for synchronous machines, transmission lines and in- verter systems. However, the strict open-source approach and a macro-based user-interface also allows for an easy implementation of custom-built mod- els which makes it especially interesting for the design and testing of new control strategies for distributed generation units. This paper presents how the modeling concept, implemented component models and fault scenarios have been experimentally tested against measurements in the microgrid lab of TECNALIA.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 7
    Publication Date: 2023-01-04
    Description: Dataset containing all greenhouse gas emissions data submitted by countries under climate change convention (including CRF data) as published by the UNFCCC secretariat at 2022-12-13.
    Language: English
    Type: info:eu-repo/semantics/workingPaper
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  • 8
    Publication Date: 2023-01-18
    Description: Prudent risk management requires consideration of bad-to-worst-case scenarios. Yet, for climate change, such potential futures are poorly understood. Could anthropogenic climate change result in worldwide societal collapse or even eventual human extinction? At present, this is a dangerously underexplored topic. Yet there are ample reasons to suspect that climate change could result in a global catastrophe. Analyzing the mechanisms for these extreme consequences could help galvanize action, improve resilience, and inform policy, including emergency responses. We outline current knowledge about the likelihood of extreme climate change, discuss why understanding bad-to-worst cases is vital, articulate reasons for concern about catastrophic outcomes, define key terms, and put forward a research agenda. The proposed agenda covers four main questions: 1) What is the potential for climate change to drive mass extinction events? 2) What are the mechanisms that could result in human mass mortality and morbidity? 3) What are human societies' vulnerabilities to climate-triggered risk cascades, such as from conflict, political instability, and systemic financial risk? 4) How can these multiple strands of evidence—together with other global dangers—be usefully synthesized into an “integrated catastrophe assessment”? It is time for the scientific community to grapple with the challenge of better understanding catastrophic climate change.
    Language: English
    Type: info:eu-repo/semantics/article
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  • 9
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    In:  Advances in Swarm Intelligence | Lecture Notes in Computer Science
    Publication Date: 2023-01-19
    Description: Swarm intelligence occurs when the collective behavior of low-level individuals and their local interactions form an overall pattern of uniform function. Incorporating swarm intelligence allows us to disregard global models when we explore collective cooperation systems that lack any central control. Blockchain is a key technology in the functioning of Bitcoin and combines network and cryptographic algorithms. A group of agents agrees on a particular status and records the protocol without controlling it. Blockchain and other distributed systems, such as ant colony systems, allow the building of “ants” that are more secure, flexible, and successful. We use the principle of blockchain technology and carry out ant colony research to solve three urgent problems. We use new security protocols, system implementations, and business models to generate ant swarm system scenarios. Finally we combine these two technologies to solve the problems of limitation and reduced future potential. Our work opens the door to new business models and approaches that allow ant colony technologies to be applied to a wide range of market applications.
    Language: English
    Type: info:eu-repo/semantics/bookPart
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  • 10
    Publication Date: 2023-01-19
    Description: Good leaders can greatly influence the effective governance of water resources, however, how their attributes relate to group cooperation in Water User Associations (WUAs) remains an open question. Using the case of Chile, we explore the factors of three non-cooperative behaviors in WUAs by performing a two-stage cluster analysis. The results describe four clusters that differ in structural and human characteristics, where highly cooperative WUAs are characterized by having presidents who dedicate more time to their duties, are more active in applying for governmental subsidies, are embedded in social organizations, have high levels of bridging social capital, and have a positive attitude toward the presidency. Our results add to the limited empirical knowledge about the role of leadership in fostering cooperation in the use of common-pool resources. This article sheds light on this matter as the results suggest that policy interventions should aim at strengthening social capital and providing incentives to increase the time dedication of presidents to the WUAs duties.
    Language: English
    Type: info:eu-repo/semantics/article
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