M. V. Shatalina

ORCID: 0000-0002-9629-9320
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About
Contact & Profiles
Research Areas
  • Lightning and Electromagnetic Phenomena
  • Earthquake Detection and Analysis
  • Ionosphere and magnetosphere dynamics
  • Fire effects on ecosystems
  • Atmospheric aerosols and clouds
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Economic and Technological Systems Analysis
  • Plant Water Relations and Carbon Dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Hydrological Forecasting Using AI
  • Structural Health Monitoring Techniques
  • Solar and Space Plasma Dynamics
  • Fluid Dynamics and Turbulent Flows
  • Geomagnetism and Paleomagnetism Studies
  • Statistical Mechanics and Entropy
  • Energy Load and Power Forecasting
  • Precipitation Measurement and Analysis
  • Noise Effects and Management
  • Laser-induced spectroscopy and plasma
  • Aerosol Filtration and Electrostatic Precipitation
  • Plant Surface Properties and Treatments
  • Wind and Air Flow Studies
  • Advanced Decision-Making Techniques
  • Particle Dynamics in Fluid Flows

Institute of Applied Physics
2005-2024

Russian Academy of Sciences
2011-2023

N. I. Lobachevsky State University of Nizhny Novgorod
2014-2023

Radiophysical Research Institute
2013

Yaroslav-the-Wise Novgorod State University
2013

In this work, we compare the values of 15 convective indices obtained from radiosonde and microwave temperature water vapor profiles simultaneously measured over Nizhny Novgorod (56.2°N, 44°E) during 5 seasons 2014–2018. A good or moderate correlation (with coefficients ~0.7–0.85) is found for most indices. We assess thunderstorm prediction skills with a lead time 12 h each index. It revealed that effectiveness by much better than ones. Moreover, between certain index does not necessarily...

10.3390/rs12040604 article EN cc-by Remote Sensing 2020-02-11

An increase in the frequency of atmospheric hazards a changing climate has attracted interest study regional features mesoscale convective systems and trends lightning activity. Severe storms are most destructive weather events causing substantial damage fatalities. In this paper, we analyze general activity Upper Volga region identify particular severe thunderstorm on 13–14 July 2020. The analysis annual variability region, carried out according to World-Wide Lightning Location Network...

10.3390/atmos14040674 article EN cc-by Atmosphere 2023-04-02

In recent years, there has been a notable surge in lightning events within the Arctic region. This is possibly due to ongoing trend of global warming that particularly pronounced Arctic. study focuses on instances rare activity proximity North Pole last decade. We hypothesize these occurrences are linked augmented land heating Eurasia rather than solely increasing temperatures assertion substantiated by model simulations using Weather Research and Forecasting model.

10.3390/atmos15030310 article EN cc-by Atmosphere 2024-02-29

Abstract. Complex electrical measurements with the use of sodar data show that electric field pulsation analysis is useful for electrodynamics/turbulence monitoring under different conditions. In particular, number aeroelectric structures (AES) generated per hour a convenient measure turbulence intensity. During convectively unstable periods, as many 5–10 AES form hour. Under stable conditions, occasionally well, indicating appearance occasional mixing events reflected in perturbations....

10.5194/npg-20-819-2013 article EN cc-by Nonlinear processes in geophysics 2013-10-29

Abstract Electric field measurements at Vostok station in Antarctica reveal that the El Niño—Southern Oscillation (ENSO) has a statistically significant effect on global electric circuit, as earlier predicted by simulations. Analysis of 10 October‐February periods during 2006–2016 indicates shape diurnal variation surface is significantly different for Niño and La Niña years, with an especially pronounced deviation super 2015/16. During strong Niños potential gradient relative to mean...

10.1029/2021gl095389 article EN Geophysical Research Letters 2021-10-22

The characteristics of hazardous meteorological phenomena in Nizhny Novgorod city based on the electric field observations are obtained present paper. As a result analysis quasistationary variation experimental data together with data, statistics thunderstorm events were and their classification was carried out. compared results numerical calculations WRF model.

10.52002/0130-2906-2021-6-107-111 article EN Meteorologiya i Gidrologiya 2021-06-01

В докладе представлены результаты наблюдений многопунктовой грозопеленгационной системы (ГПС) NNLDN (Nizhny Novgorod Lightning Detection Network), разработанной в ИПФ РАН и регистрирующей электромагнитное излучение молний ближних дальних гроз диапазоне 10-100 кГц. Сопоставлены молниевой активности системой с региональным покрытием (100-300 км) глобальной WWLLN. Представлено качественное совпадение карт грозоопасности за 2022 год. Изучена многолетняя статистика исследуемом регионе 2015-2023...

10.56820/oao30d35 article RU 2024-10-30

This review contains the most significant results of Russian studies in field atmospheric electricity 20152018. It is part National Report on Meteorology and Atmospheric Sciencesto International Association Sciences (IAMAS). The report was presented approved at XXVII General Assembly Union Geodesy Geophysics (IUGG) 1. followed by a list main published works scientists

10.31857/s0002-351555679-93 article EN Известия Российской академии наук Физика атмосферы и океана 2019-12-21

Complex field experiments have been undertaken on the basis of observational set-up arranged in Upper-Volga Region during convective seasons 2005-2010. Spectral and statistical characteristics electric perturbations vicinity thunderstorm clouds investigated. Statistical analysis allowed us to relate found peculiarities with different stages generator dynamics. We develop our fractal simulation code take into account spatio-temporal dynamics a cloud discharge, compare results observations...

10.1109/ursigass.2011.6050703 article EN 2011-08-01

Based on the ionospheric potential (IP) parameterization, seasonal dynamics of diurnal variation IP for 20162017 were modeled first time using numerical weather forecast model WRF-ARW. The IP, averaged over annual simulation periods, shows good agreement with classical Carnegie curve. proposed parametrization correctly reproduces basic characteristics stationary global electric circuit generators. does not show a precise repeatability from year to year, but in winter season Northern...

10.31857/s0002-351555576-84 article EN Известия Российской академии наук Физика атмосферы и океана 2019-11-25

10.1134/s0001433823150082 article EN Izvestiya Atmospheric and Oceanic Physics 2023-12-01

This review contains the most significant results of Russian studies in field atmospheric electricity 2019–2022. It is part National Report on Meteorology and Atmospheric Sciencesto International Association Sciences (IAMAS). The report was presented approved at XXVIII General Assembly Union Geodesy Geophysics (IUGG)2.The followed by a list main published works scientists

10.31857/s0002351523070088 article EN Известия Российской академии наук Физика атмосферы и океана 2023-12-01
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