A5083534341- Geomagnetism and Paleomagnetism Studies
- Earthquake Detection and Analysis
- Ionosphere and magnetosphere dynamics
- Solar and Space Plasma Dynamics
- Geophysics and Gravity Measurements
- Geochemistry and Geologic Mapping
- Geological Studies and Exploration
- Geophysical and Geoelectrical Methods
- earthquake and tectonic studies
- Astrophysics and Cosmic Phenomena
- Statistical and numerical algorithms
- Geological and Geophysical Studies
- Methane Hydrates and Related Phenomena
- Hydrocarbon exploration and reservoir analysis
- Seismology and Earthquake Studies
- Computational Physics and Python Applications
- Geotechnical and Geomechanical Engineering
- Geological and Geochemical Analysis
- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Geological Modeling and Analysis
- Atomic and Subatomic Physics Research
- Image Processing and 3D Reconstruction
- Dark Matter and Cosmic Phenomena
- Arctic and Russian Policy Studies
Geophysical Center
2015-2024
Schmidt Institute of Physics of the Earth
2015-2024
Moscow Engineering Physics Institute
2019-2024
National Research University Higher School of Economics
2024
Russian Academy of Sciences
2012-2023
ORCID
2022
Istituto Nazionale di Geofisica e Vulcanologia
2022
University of Bari Aldo Moro
2022
University of Turin
2022
INGV Sezione di Bologna
2022
Abstract. The global marine gravity anomaly model is predominantly recovered from along-track radar altimeter data. Despite significant advances in recovery, the improvement of remains constrained by absence cross-track geoid gradients and reduction data, especially coastal high-latitude regions. ICESat-2 laser altimetry, with a three-pair beam configuration, small footprint, near-polar orbit, facilitates determination provides valid observations certain We present an data processing...
Recent studies suggest that the secular variation dynamics of geomagnetic field exhibits periodic patterns indicate underlying wave processes in Earth’s core. However, as long analytical core models are based on geographically sparse and noisy observatory data, they have apparent limitations for studying fine structure its spatiotemporal variations. The advent satellite measurements full vector 1999 removed this limitation made it possible to produce reliable highly accurate...
This study presents a comprehensive exploration of the collection and analysis diverse geological geophysical datasets from eastern sector Russian Arctic. By leveraging advanced machine learning (ML) techniques, including convolutional neural networks, decision trees, classical regression models, we provide insights into both data acquisition—encompassing geological, gravimetric, magnetic, other parameters—and subsequent interpretation these data.The research is...
In summer 2023, continuous observations of the Earth's magnetic field parameters were launched at Mikhnevo geophysical polygon M.A. Sadovsky Institute Geophysics Russian Academy Sciences (Stupino District, Moscow Region). This observatory is first modern geomagnetic in vast territory central region Federation, registering high-quality data with 1-second sampling. The located far enough from sources anthropogenic electromagnetic interference, which confirmed by noise characteristics recorded...
Northeastern Eurasia is one of the least studied regions in world, with limited geophysical data available due to its inaccessibility. The exact location plate boundary between and North America still under debate. effective elastic thickness (EET) lithosphere serves as an indicator lithospheric strength provides valuable information on thermal conditions tectonic activity. We have produced a high-resolution EET map for northeastern using fan wavelet coherence method applied Bouguer gravity...
<p class="p1">The continuous growth of geophysical observations requires adequate methods for their processing and analysis. This becomes one the most important widely discussed issues in data science community. The system analysis mining techniques are able to sustain solution this problem. paper presents an innovative holistic hardware/software (HSS) developed efficient management intellectual geomagnetic data, registered by Russian observatories international satellites. Geomagnetic that...
In this paper, a new approach to the detection of anomalies in geophysical records is connected with fuzzy mathematics application. The theory discrete mathematical analysis and collection algorithms for time series processing constructed on its basis represents results research direction. These are consequence modeling logic an interpreter who visually recognizes records. They allow analyzing large data sets that not subjected manual processing. efficiency these demonstrated several...
<p class="p1"><span class="s1">The discrete mathematical analysis (DMA) is a series of algorithms aimed at the solution basic problems data analysis: clustering and tracing in multidimensional arrays, morphological reliefs, search for anomalies trends records etc. All DMA are universal nature, joined by same formal foundation, based, its turn, on fuzzy logic (FL) mathematics (FM).</span> class="p2"><span current study finalizes one-dimensional time within scope DMA: here initial concept an...
The review offered for the first time in Russian scientific literature is devoted to various aspects of problem impact space weather on ground transport systems. An analysis available information indicates that disturbances can affect rail infrastructure through both direct and indirect effects system components. One main hazards geomagnetically induced currents (GICs) grounded extended structures excited by geomagnetic field disturbances. telluric electric fields associated with them cause...
In the present paper we apply a recently developed pattern recognition algorithm SPs to problem of automated detection artificial disturbances in one-second magnetic observatory data. The relies on theory discrete mathematical analysis, which has been by some authors for more than 10 years. It continues authors’ research morphological analysis time series using fuzzy logic techniques. We show that, after learning phase, this is able recognize spikes uniformly with low probabilities target...
Herein, we present a newly developed indicator for estimating geomagnetic activity. It is based on the magnitude of measure anomalousness (MA) magnetometer recordings at given time or interval. intended automated estimation activity level in area specific magnetic station region using data set stations. reflects different observatories single scale [-1, 1], regardless their latitudinal location and consequently typical disturbance amplitudes. To certain extent MA an analog traditional K...
The Arctic zone of the Russian Federation is one most intensively developing regions country. Amongst major domains economic and industrial growth improvement transport infrastructure particularly railway network. This area being exposed to negative factors rapid climate change that can significantly affect compromise this activity. Thus, it vital take them into account during design, construction, operation facilities. work details production a digital atlas comprising 1950–2021 dynamics...
Spatial data handling and analysis is one of the most important trends in modern computer oriented geophysics geology.This article describes a software complex designed for integration geodata algorithms unified geoinformation environment.The developed system provides access to an extensive geodatabase on Earth sciences constantly updated catalog requires only Web browser Internet connection.This paper contains mathematical description some methods mining analysis, which have been already...