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Study on an effective integrated model of Ka-band mobile satellite channel
Published 2012-11-01“…In order to describe the Ka-band mobile satellite communications channel fading features more realitically,a mobile satellite integrated channel model was proposed.The characteristics of the mobile satellite propogation channel were analysed in detail.Weather conditions,as well as multi-path fading and shadowing were taken into account as main influencing factors.On this basis,airspace channel model was built obeying the Gaussian distribution as well ground surface,which obey Rice,Rayleigh and Lognormal joint distribution.Then the integrated channel model was presented considering weather effects on condition that the two parts are independent each other in the influence of the channel characteristics.The mathematical analysis model and simulation model of the new integrated channel model were established respectively.Finally,the BER(bit error rate)performance was analyzed for different weather conditions and shadows.Compared with the theoretical BER,the integrated channel model in satellite mobile communication systems is correct and reasonable.…”
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Calibration and Validation of MODIS-Derived Ground-Level Air Temperature Models by Means of Ground Measurements
Published 2024-12-01“…Starting from multitemporal MODIS data matrices, we interpolate them to estimate the temperature of the weather stations, in order to compare the estimation with the real weather station data, thus allowing the validation of MODIS data.…”
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Including the Temporal Dimension in the SECS Technique
Published 2020-10-01“…It has been successfully applied to numerous Space Weather (SW) events, whereas some advantages have been reported over other techniques such as Fourier or Spherical (Cap) Harmonic Analysis. …”
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Over 20‐Year Global Magnetohydrodynamic Simulation of Earth's Magnetosphere
Published 2022-11-01Get full text
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Ionospheric Nowcasting Over Italy Through Data Assimilation: A Synergy Between IRI UP and IONORING
Published 2024-05-01“…Abstract An accurate modeling of the ionosphere electron density is pivotal to guarantee the effective operation of communication and navigation systems, particularly during Space Weather events. Despite the crucial contribution of empirical models like the International Reference Ionosphere (IRI), their limitations in predicting ionospheric variability, especially under geomagnetically disturbed conditions, are acknowledged. …”
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Projections of the population size of Russia and the world
Published 2017-02-01Get full text
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A New Standalone Tool for DC‐Equivalent Network Generation and GIC Calculation in Power Grids With Multiple Voltage Levels
Published 2022-03-01“…Abstract Space Weather phenomena pose a major socio‐economic threat due, in part, to the vulnerability of power network transformers to geomagnetically induced currents (GIC). …”
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Characterizing Extreme Geomagnetic Storms Using Extreme Value Analysis: A Discussion on the Representativeness of Short Data Sets
Published 2020-06-01“…Abstract One of the main goals when studying Space Weather is to characterize extreme events occurrences and related characteristics. …”
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Toward an integrated pantropical ocean observing system
Published 2025-02-01“…Finally, recommendations for improved observations of tropical basin interactions, through oceanic and atmospheric pathways, are presented, emphasizing the benefits that can be achieved through closer interbasin coordination and international partnerships.…”
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On the Regional Variability of dB/dt and Its Significance to GIC
Published 2020-08-01Get full text
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Prediction of Dst During Solar Minimum Using In Situ Measurements at L5
Published 2020-05-01Get full text
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Ultrasonic Testing of Railroad Rails: Cold Temperature Effects and Considerations
Published 2024-01-01“…The research presented in this article investigated the effect of low temperatures on acoustic properties in coupling fluid and rail steel. …”
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Analysis of Key Technologies and Applications of Meteorological Service for Offshore Wind Power
Published 2025-01-01“…By utilizing the data assimilation techniques and state-of-the-art artificial intelligence methods, combined with numerical models, it developed key technologies such as wind-wave-current forecasting for offshore wind farms, intelligent forecasting of significant wave height and storm surges, as well as high-impact weather monitoring and forecasting alerts. Ultimately, this led to the refinement of meteorological services and applications for offshore wind farms. …”
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Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks
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Transpolar Convection and Magnetospheric Ring Current Relations: Real‐Time Applications of the Polar Cap (PC) Indices
Published 2021-07-01“…Abstract The present study confirms the validity of previously derived relations between the polar cap (PC) indices and the ASY‐H and the Dst and SYM‐H ring current indices when used in real‐time applications. …”
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Validating GIC Modeling in the Spanish Power Grid by Differential Magnetometry
Published 2021-12-01Get full text
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Can One Predict Coronal Mass Ejection Arrival Times With Thirty‐Minute Accuracy?
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Modeling Geomagnetically Induced Currents in the Alberta Power Network: Comparison and Validation Using Hall Probe Measurements During a Magnetic Storm
Published 2024-04-01“…Abstract During space weather events, geomagnetic disturbances (GMDs) induce geoelectric fields which drive geomagnetically induced currents (GICs) through electrically‐grounded power transmission lines. …”
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