The paper describes program experiments on noise filtering by using recursive filters and wavelet-filtering frequency algorithms during processing and systematization of natural pulsed electromagnetic noises of Earth registered by ground multichannel geophysical loggers. The results on iterative use of Kalman filter are included.
The work presents the results of the analysis of Eurasia climate system structure change over the period of modern climate warming. The authors developed the algorithm based on analytic signal theory, allowing grouping geophysical signals over various spatial and temporal scales. Surface temperature was selected as an integrated indicator of climate change. Climate clusters were separated based by the level of similarity in temperature oscillations annual variation phase change on Eurasia stations. Periods corresponding to major trends in global temperature dynamics were considered. We have revealed that during global warming, since 1976, there is a restructuring in regional fields patterns taking place, level of congruence of temperature oscillations changes, many stations of previously northern classes migrate to southern classes. Classification results confirmed that Russian Arctic and Subarctic are the regions that are most sensitive to global temperature changes.
KEYWORDS: Data processing, Computing systems, Distributed computing, Data acquisition, Meteorology, Parallel computing, Data storage, Climatology, Computer science, Algorithm development
The paper describes a software complex for designing a horizontally-scalable distributed information-calculation platform with loosely coupled calculation nodes. The platform is intended information support for parallel processing of multi-dimensional data and large time series. The technological scheme for platform design and deployment includes a cluster of processing nodes and a cluster of storage nodes which provide their services if requested by researcher. The main node of each cluster is the command center. Storage management center coordinates functional data processing according to instructions received from researchers. Applications are designed as jnlp-files which ensures their functionality on research terminals.
KEYWORDS: Control systems, Electromagnetism, Process control, Landslides, Software development, Signal processing, Databases, Data processing, Visualization, Analytical research
This article presents the method of logging the earth’s natural pulsed electromagnetic noises for mapping anomalies of the earth's crust stress-strain deformed state. Methods for identifying small-scale space-time variations of the earth's natural electromagnetic field at global and regional scale are proposed. The paper describes an automated system for controlling geodynamic processes based on the systematization and processing of the earth’s natural pulsed electromagnetic noises recorded by ground-based multichannel geophysical loggers. The developed software downloads data obtained by registrars to the system database, allows to remotely configure the system hardware, allows to identify and authenticate the groups of researchers. It also provides researchers with the means to sample the required data and to process it mathematically in order to monitor the geomagnetic situation and identify dangerous geological processes, provides visualization of processing results and is capable of exporting specific data for further analysis in other software environments.
The paper researches Northern hemisphere surface temperature field structure based on the data of 818 meteorological stations for different time frames. Surface temperature is an integrated indicator of the global and regional climate change. Authors classified the stations by the degree of congruence in their multi-year temperature dynamics at various yearly intervals, corresponding to global climate trends. Temperature observational series were interpreted as phase modulated oscillations. The suggested classification is based on the hypothesis of geographical dependence in temperature signal phase modulation specifics. Congruence, namely temperature oscillation phasing in particular regions serves as a criteria for classification. The totality of climate-regulating influences on climate system forms a complex kind of phase modulation, which is though in some correspondence to those disturbances. We believe, that changes in synchronization modes of climatic and natural processes, is consequent to system transition into a new quality. The paper shows that with a global temperature growth regional temperature fields restructure and degree of congruence in temperature dynamics changes. Those changes are not uniform over different regions of the hemisphere. Temperature field congruence tends to decrease. The search for synchronization in non-linear chaotic systems, sensitive to initial conditions, might become a promising way of predicting models optimization.
The article describes an iterative parallel phase grouping algorithm for temperature field classification. The algorithm is based on modified method of structure forming by using analytic signal. The developed method allows to solve tasks of climate classification as well as climatic zoning for any time or spatial scale. When used to surface temperature measurement series, the developed algorithm allows to find climatic structures with correlated changes of temperature field, to make conclusion on climate uniformity in a given area and to overview climate changes over time by analyzing offset in type groups. The information on climate type groups specific for selected geographical areas is expanded by genetic scheme of class distribution depending on change in mutual correlation level between ground temperature monthly average.
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