Recurrence based quantification of dynamical complexity in the Earth's magnetosphere at geospace storm timescales

Magnetic storms are the most prominent global manifestations of out-of-equilibrium magnetospheric dynamics. Investigating the dynamical complexity exhibited by geomagnetic observables can provide valuable insights into relevant physical processes as well as temporal scales associated with this phenomenon. In this work, we utilize several innovative data analysis techniques enabling a quantitative nonlinear analysis of the nonstationary behavior of the disturbance storm time (Dst) index together with some of the main drivers of its temporal variability, the $VB_{South}$ electric field component, the vertical component of the interplanetary magnetic field, $B_z$, and the dynamic pressure of the solar wind, $P_{dyn}$. Using recurrence quantification analysis (RQA) and recurrence network analysis (RNA), we obtain several complementary complexity measures that serve as markers of different physical processes underlying quiet and storm time magnetospheric dynamics. Specifically, our approach discriminates the magnetospheric activity in response to external (solar wind) forcing from primarily internal variability and provides a physically meaningful classification of magnetic storm periods based on observations made at the Earth's surface. In this regard, the proposed methodology could provide a relevant step towards future improved space weather and magnetic storm forecasts

Tipping elements of the Indian monsoon : Prediction of onset and withdrawal

Funded by LINC project. Grant Number: 289447 EC's Marie Curie ITN program. Grant Number: FP7-PEOPLE-2011-ITN RFBR. Grant Number: 16-07-01186 Government of Russian Federation. Grant Number: 14.Z50.31.0033Peer reviewedPublisher PD

Post - sedimentation influence on filtration capacity reservoir rock properties (Pur-Tazov oil\gas-bearing area)

The processes of the second mineral formation (kaolinite, carbonates and micas) were identified during the post-sedimentation transformation studies in oil\gas deposits. Besides, quartz regeneration, solid product destructive formation processes and hydrocarbon oxidation processes were -determined. Correlation analysis of the mineralogy and petrophysics data revealed the post-sedimentation influence factors on the reservoir properties of deposits. It should be noted that the second kaolinite composition increase results in water saturation and density decrease, porosity and, especially, permeability increase. Quartz regeneration and second mica formation deteriorate the reservoir properties or poorly influence them. The hydrocarbon decay and oxidation products, as well as secondary carbonate seal the void space, replace the soluble rock debris and sharply deteriorate the reservoir properties of oil andgas deposits

Topology and seasonal evolution of the network of extreme precipitation over the Indian subcontinent and Sri Lanka

Peer reviewedPublisher PD

On the influence of spatial sampling on climate networks

Peer reviewedPublisher PD

Lithogenesis of vend-cambrian deposits of southwest slope of Baikitskaya anteclase (based on the study of the section of the Irinchiminskaya parametrical well 155 in East Siberia)

The results of the study of sedimentation conditions and the subsequent diagenetic, catagenetic and imposed epigenetic rock transformations in the section have been examined. The display in the cut of epigenetic changes of rock and expansion of bitumoids point to the perspectivity of the territory and oil-and-gas-bearing capacit

Lithogenesis of vend-cambrian deposits of southwest slope of Baikitskaya anteclase (based on the study of the section of the Irinchiminskaya parametrical well 155 in East Siberia)

The results of the study of sedimentation conditions and the subsequent diagenetic, catagenetic and imposed epigenetic rock transformations in the section have been examined. The display in the cut of epigenetic changes of rock and expansion of bitumoids point to the perspectivity of the territory and oil-and-gas-bearing capacit

The S-matrix Bootstrap: From the Sine-Gordon Model to Celestial Amplitudes

We address the scattering problem in two-dimensional integrable models, focusing on the sine-Gordon theory. We use the S-matrix bootstrap approach based on analytical properties of the S-matrix to compute scattering amplitudes of the sine-Gordon model. We obtain original integral representations for the sine-Gordon scattering amplitudes involving bound states. Calculation of minimal form factors in this model follows directly from integral representations of scattering amplitudes. We also propose the extension of the sine-Gordon bootstrap equations to the space of conformal correlators known as celestial amplitudes.Comment: 27 pages; references adde

Characterizing the evolution of climate networks

Peer reviewedPublisher PD

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

We introduce the \texttt{pyunicorn} (Pythonic unified complex network and recurrence analysis toolbox) open source software package for applying and combining modern methods of data analysis and modeling from complex network theory and nonlinear time series analysis. \texttt{pyunicorn} is a fully object-oriented and easily parallelizable package written in the language Python. It allows for the construction of functional networks such as climate networks in climatology or functional brain networks in neuroscience representing the structure of statistical interrelationships in large data sets of time series and, subsequently, investigating this structure using advanced methods of complex network theory such as measures and models for spatial networks, networks of interacting networks, node-weighted statistics or network surrogates. Additionally, \texttt{pyunicorn} provides insights into the nonlinear dynamics of complex systems as recorded in uni- and multivariate time series from a non-traditional perspective by means of recurrence quantification analysis (RQA), recurrence networks, visibility graphs and construction of surrogate time series. The range of possible applications of the library is outlined, drawing on several examples mainly from the field of climatology.Comment: 28 pages, 17 figure