Understanding the Earth as a Complex System – recent advances in data analysis and modelling in Earth sciences

Donner, Reik V.; Barbosa, Susana; Kurths, Jürgen; Marwan, Norbert

doi:10.1140/epjst/e2009-01086-6

Cited by 40 publications

(34 citation statements)

References 55 publications

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“…Diffusion scaling and intermittency are important features of transport in turbulent flows, particularly of diffusion processes related to coherent structures. Consequently, these features must be taken into account in the development of data-based stochastic models (Donner et al, 2009). In particular, the existence of a self-similar birth-death stochastic point process of cooperation driving the turbulent diffusion in the region of ABL near the ground has been assessed.…”

Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Scaling laws of diffusion and time intermittency generated by coherent structures in atmospheric turbulence

Paradisi

Cesari

Donateo

et al. 2012

Nonlin. Processes Geophys.

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Abstract. We investigate the time intermittency of turbulent transport associated with the birth-death of self-organized coherent structures in the atmospheric boundary layer. We apply a threshold analysis on the increments of turbulent fluctuations to extract sequences of rapid acceleration events, which is a marker of the transition between self-organized structures.The inter-event time distributions show a power-law decay ψ(τ ) ∼ 1/τ µ , with a strong dependence of the power-law index µ on the threshold.A recently developed method based on the application of event-driven walking rules to generate different diffusion processes is applied to the experimental event sequences. At variance with the power-law index µ estimated from the inter-event time distributions, the diffusion scaling H , defined by X 2 ∼ t 2H , is independent from the threshold. From the analysis of the diffusion scaling it can also be inferred the presence of different kind of events, i.e. genuinely transition events and spurious events, which all contribute to the diffusion process but over different time scales. The great advantage of event-driven diffusion lies in the ability of separating different regimes of the scaling H . In fact, the greatest H , corresponding to the most anomalous diffusion process, emerges in the long time range, whereas the smallest H can be seen in the short time range if the time resolution of the data is sufficiently accurate.The estimated diffusion scaling is also robust under the change of the definition of turbulent fluctuations and, under the assumption of statistically independent events, it corresponds to a self-similar point process with a well-defined power-law index µ D ∼ 2.1, where D denotes that µ D is derived from the diffusion scaling. We argue that this renewal point process can be associated to birth and death of coherent structures and to turbulent transport near the ground, where the contribution of turbulent coherent structures becomes dominant.

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Section: Discussion and Concluding Remarksmentioning

confidence: 99%

Scaling laws of diffusion and time intermittency generated by coherent structures in atmospheric turbulence

Paradisi

Cesari

Donateo

et al. 2012

Nonlin. Processes Geophys.

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“…However, unveiling and quantifying these features requires the application of sophisticated nonlinear time series analysis approaches (e.g. [77,78]) in order to decompose the multiple scales of variability and discriminate between the different drivers of radon variability.…”

Section: Challenges and Perspectivesmentioning

confidence: 99%

Radon applications in geosciences – Progress & perspectives

Barbosa

Donner

Steinitz

2015

Eur. Phys. J. Spec. Top.

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Abstract. During the last decades, the radioactive noble gas radon has found a variety of geoscientific applications, ranging from its utilization as a potential earthquake precursor and proxy of tectonic stress over its specific role in volcanic environments to a wide range of applications as a tracer in marine and hydrological settings. This topical issue summarizes the current state of research as exemplified by some original research articles covering the aforementioned as well as other closely related aspects and points to some important future directions of radon application in geosciences. This editorial provides a more detailed overview of the contents of this volume, a brief summary of the rationale underlying the diverse applications, and outlines some important perspectives.

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“…Wind energy production is essentially determined by large-scale turbulent atmospheric dynamics and extreme event statistics, two topics that still require a multidisciplinary comprehensive approach, from both the earth sciences [43,44] and physics [45].…”

Section: Big Data For World-wide and Multiscale Problemsmentioning

confidence: 99%

From human mobility to renewable energies

Raischel

Moreira

Lind

2014

Eur. Phys. J. Spec. Top.

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Abstract.We address and discuss recent trends in the analysis of big data sets, with the emphasis on studying multiscale phenomena. Applications of big data analysis in different scientific fields are described and two particular examples of multiscale phenomena are explored in more detail. The first one deals with wind power production at the scale of single wind turbines, the scale of entire wind farms and also at the scale of a whole country. Using open source data we show that the wind power production has an intermittent character at all those three scales, with implications for defining adequate strategies for stable energy production. The second example concerns the dynamics underlying human mobility, which presents different features at different scales.For that end, we analyze 12-month data of the Eduroam database within Portuguese universities, and find that, at the smallest scales, typically within a set of a few adjacent buildings, the characteristic exponents of average displacements are different from the ones found at the scale of one country or one continent. Big data: the emergence of a new paradigmIn some sense, the notion of Information Age is slowly fading from the perception of our society. For decades, national and international research has been creating impressive amounts of data, and often from various unrelated measurement sources [1]. Computational methods have been serving the needs of the scientific community and the need for higher computational power has driven the invention of more efficient computational codes and triggered the development of new hardware. Simultaneously, the internet has been instrumental in fostering international research collaborations and divulging scientific knowledge.Today, obtaining data is no longer a problem. Information is there, available for everyone at any time. Given the computational power of today's computers and clusters, even single research groups can create and store large data volumes. The challenge in today's research is more often what to do with the data we have. How to manage all the information we have in such large data sources? Which phenomena can we now study? The recent technological progress together with the new challenges naturally lead to a new paradigm in computational sciences, which is partially described by the term big data.In this paper we discuss the utility of big data for approaching the empirical study of phenomena up to now unreachable. We discuss the usage of big data in the study of two specific phenomena, that up to now were unreachable, namely wind energy production and human

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Understanding the Earth as a Complex System – recent advances in data analysis and modelling in Earth sciences

Cited by 40 publications

References 55 publications

Scaling laws of diffusion and time intermittency generated by coherent structures in atmospheric turbulence

Scaling laws of diffusion and time intermittency generated by coherent structures in atmospheric turbulence

Radon applications in geosciences – Progress & perspectives

From human mobility to renewable energies

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