Artículos con la etiqueta ‘Atmospheric and Oceanic Physics (’

Economic benefits of decarbonising the global electricity sector

Por • 18 oct, 2013 • Category: Ambiente

Conventional economic analyses of stringent climate change mitigation have generally concluded that economic austerity would result from carbon austerity. These analyses however rely critically on the assumption of an economic equilibrium, which dismisses established notions on behavioural heterogeneity, path dependence and technology transitions. Here we show that on the contrary, the decarbonisation of the electricity sector globally can lead to improvements in economic performance. By modelling the process of innovation-diffusion and non-equilibrium dynamics, we establish how climate policy instruments for emissions reductions alter economic activity through energy prices, government spending, enhanced investment and tax revenues. While higher electricity prices reduce income and output, this is over-compensated by enhanced employment generated by investments in new technology. We stress that the current dialogue on the impacts of climate policies must be revisited to reflect the real complex dynamics involved in the global economy, not captured by conventional models.

Novel measures based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis

Por • 9 oct, 2013 • Category: Crítica

We have proposed novel measures based on the Kolmogorov complexity for use in complex system behavior studies and time series analysis. We have considered background of the Kolmogorov complexity and also we have discussed meaning of the physical as well as other complexities. To get better insights into the complexity of complex systems and time series analysis we have introduced the three novel measures based on the Kolmogorov complexity: (i) the Kolmogorov complexity spectrum, (ii) the Kolmogorov complexity spectrum highest value and (iii) the overall Kolmogorov complexity. The characteristics of these measures have been tested using a generalized logistic equation. Finally, the proposed measures have been applied on different time series originating from: the model output (the biochemical substance exchange in a multi-cell system), four different geophysical phenomena (dynamics of: river flow, long term precipitation, indoor 222Rn concentration and UV radiation dose) and economy (stock prices dynamics). Results which are obtained offer deeper insights into complexity of the system dynamics behavior and time series analysis when the proposed complexity measures are applied.