Investigation of solar influence on the terrestrial processes: Activities in Serbia

Radovanović, Milan

doi:10.2298/ijgi1801149r

Cited by 8 publications

(5 citation statements)

References 30 publications

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“…1 as very flat amplitude and phase time evolutions, as recorded by the AWESOME VLF receiver [12], which correspond to time evolution of the X-radiation time evolution and this study is an extension of complementary research given in [7,8] related to the unperturbed conditions and relaxation period, respectively. Due to the first reason this flare has also been considered in several previous investigations (see [13] and references therein). One of the open questions of this study is related to research of the radiation and atmospheric properties on the electron reduction in the considered flare phase.…”

Section: Experimental Set-up Observations and Data Processingmentioning

confidence: 98%

Variations in ionospheric D-region recombination properties during increase of its X-ray heating induced by solar X-ray flare

et al. 2019

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Original scientific paper https://doi.org/10.2298/TSCI190501313NIn this paper we present an analysis of parameters describing the effective recombination processes in the upper ionospheric D-region in the period of its additional heating by the X-radiation emitted during a solar X-ray flare. We present a procedure for calculation of the effective recombination coefficient and electron loss rate in the period when the X-radiation flux detected by the GOES satellite in the wavelength domain between 0.1 and 0.8 nm increases. The developed procedure is based on observational data obtained in the low ionospheric monitoring by the very low/low frequency radio waves and it is related to the considered area and time period. The obtained expressions are applied to data for the very low frequency signal emitted in Germany and recorded in Serbia during the solar X-ray flare detected by the GOES-14 satellite on May 5, 2010.

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Section: Experimental Set-up Observations and Data Processingmentioning

confidence: 98%

Variations in ionospheric D-region recombination properties during increase of its X-ray heating induced by solar X-ray flare

et al. 2019

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“…This actually makes it impossible to solve this task by classical neural networks. There are some ways to overcome this problem: We can use either a complete overview of all the possible models to identify the most important lags for factors (Radovanović et al, 2018;Srećković et al, 2017), or use recurrent neural networks (RNNs) that have been developed specifically for this class of tasks (Miljanovic, 2012;Radovanović, 2018).…”

Section: Normalizing Train and Test Data Setsmentioning

confidence: 99%

The Conditionality of Outdoor Sports Events on Weather-Induced Impacts and Possible Solution

Petrović¹,

Radovanović

Vyklyuk

et al. 2020

Journal of Hospitality & Tourism Research

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All over the globe, outdoor sports events are highly affected by weather conditions that frequently influence the comfort of the players and sports fans, the duration, or even the cancelation of the event. To verify the range of weather-induced impacts on selected Major League Baseball events, this interdisciplinary study investigated the causes of unexpected postponements of several Major League Baseball games in March and April 2018, according to official weather reports in the event host destinations. The impact was measured by a recurrent neural network with long short-term memory as an investigation model. Autocorrelation analysis was conducted between all input and target fields. The research focused on the explanation of the influence of weather risks on the event host destinations. Moreover, the study is based on projecting an effective instrument for managing weather risks and then evaluating the tourism services that the future climatic conditions will support. The long short-term memory analysis revealed that solar activity had the greatest influence on the temperature. On the other hand, humidity and air pressure depended very little on solar activity; this finding was confirmed by the zero values of the sensitivity. These values encourage further research on weather disturbances and their connections with outdoor sports and tourism activities.

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“…It is very difficult to estimate how the changes in solar activities can affect the dynamics of many environmental processes. The previous studies found statistical connections between the occurrences of forest fires in various regions worldwide and the emissions from the Sun [1][2][3][4][5]. The main hypothesis is that the emissions of high-speed and high-energy particles from coronary holes and/or energetic regions with geo-effective positions precede the fires that happen at the same time but in geographically different regions [6].…”

Section: Introductionmentioning

confidence: 96%

Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece

et al. 2020

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The impact of solar activity on environmental processes is difficult to understand and complex for empirical modeling. This study aimed to establish forecast models of the meteorological conditions in the forest fire areas based on the solar activity parameters applying the neural networks approach. During July and August 2018, severe forest fires simultaneously occurred in the State of California (USA), Portugal, and Greece. Air temperature and humidity data together with solar parameters (integral flux of solar protons, differential electron flux and proton flux, solar wind plasma parameters, and solar radio flux at 10.7 cm data) were used in long short-term memory (LSTM) recurrent neural network ensembles. It is found that solar activity mostly affects the humidity for two stations in California and Portugal (an increase in the integral flux of solar protons of > 30 MeV by 10% increases the humidity by 3.25%, 1.65%, and 1.57%, respectively). Furthermore, an increase in air temperature of 10% increases the humidity by 2.55%, 2.01%, and 0.26%, respectively. It is shown that temperature is less sensitive to changes in solar parameters but depends on previous conditions (previous increase of 10% increases the current temperature by 0.75%, 0.34%, and 0.33%, respectively). Humidity in Greece is mostly impacted by solar flux F10.7 cm and previous values of humidity. An increase in these factors by 10% will lead to a decrease in the humidity of 3.89% or an increase of 1.31%, while air temperature mostly depends on ion temperature. If this factor increases by 10%, it will lead to air temperature rising by 0.42%.

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Investigation of solar influence on the terrestrial processes: Activities in Serbia

Cited by 8 publications

References 30 publications

Variations in ionospheric D-region recombination properties during increase of its X-ray heating induced by solar X-ray flare

Variations in ionospheric D-region recombination properties during increase of its X-ray heating induced by solar X-ray flare

The Conditionality of Outdoor Sports Events on Weather-Induced Impacts and Possible Solution

Connection of Solar Activities and Forest Fires in 2018: Events in the USA (California), Portugal and Greece

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