Neutron Monitor Network in Real Time and Space Weather

Mavromichalaki, H.; Yanke, V. G.; Дорман, Л. И.; Iucci, N.; Chilingaryan, A.; Kryakunova, O. N.

doi:10.1007/1-4020-2754-0_16

Cited by 19 publications

(21 citation statements)

References 4 publications

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“…The results of analysis of this event, after having applied our ALERT program, using data from four neutron monitor stations, are presented in Table 3. It is clearly seen that the obtained onset time from the ALERT program onset time is very close to the value calculated with the 2.5 sigma criterion Mavromichalaki et al, 2004). It is evidence of a good agreement between the onset times for the Moscow and Kiel stations.…”

Section: The Gle Onsetsupporting

confidence: 73%

The new Athens center on data processing from the neutron monitor network in real time

Mavromichalaki¹,

Souvatzoglou²,

Sarlanis³

et al. 2005

Ann. Geophys.

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Abstract. The ground-based neutron monitors (NMs) record galactic and solar relativistic cosmic rays which can play a useful key role in space weather forecasting, as a result of their interaction with interplanetary disturbances. The Earth's-based neutron monitor network has been used in order to produce a real-time prediction of space weather phenomena. Therefore, the Athens Neutron Monitor Data Processing Center (ANMODAP) takes advantage of this unique multi-directional device to solve problems concerning the diagnosis and forecasting of space weather. At this moment there has been a multi-sided use of neutron monitors. On the one hand, a preliminary alert for ground level enhancements (GLEs) may be provided due to relativistic solar particles and can be registered around 20 to 30 min before the arrival of the main part of lower energy particles responsible for radiation hazard. To make a more reliable prognosis of these events, real time data from channels of lower energy particles and Xray intensity from the GOES satellite are involved in the analysis. The other possibility is to search in real time for predictors of geomagnetic storms when they occur simultaneously with Forbush effects, using hourly, on-line accessible neutron monitor data from the worldwide network and applying a special method of processing. This chance of prognosis is only being elaborated and considered here as one of the possible uses of the Neutron Monitor Network for forecasting the arrival of interplanetary disturbance to the Earth. The achievements, the processes and the future results, are discussed in this work.

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Section: The Gle Onsetsupporting

confidence: 73%

The new Athens center on data processing from the neutron monitor network in real time

Mavromichalaki¹,

Souvatzoglou²,

Sarlanis³

et al. 2005

Ann. Geophys.

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“…From this multidirectional muon telescope we will have more than a hundred components with different coupling functions. Now many cosmic ray stations have data of several components with different coupling functions, where the method described below for determining on-line energy spectrum can be used (Dorman and Zukerman, 2003;Mavromichalaki et al, 2004;Dorman et al, 2004).…”

Section: Main Properties Of On-line Cr Data Used For Determining Fep mentioning

confidence: 99%

Forecasting of radiation hazard: 1. Alerts on great FEP events beginning; probabilities of false and missed alerts; on-line determination of solar energetic particle spectrum by using spectrographic method

Дорман¹,

Pustil'Nik²,

Sternlieb³

et al. 2006

Advances in Space Research

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“…All these efforts led to the implementation of a Cosmic Ray Data Processing (ANMODAP for Athens Neutron Monitor Data Processing) Center, that has been realized in Athens with the scope to provide real-time monitoring of CR intensity variations from NMs -widely distributed around the globe -as well as information on the time evolution of several space weather parameters measured by satellites (Mavromichalaki et al, 2005b). The ANMODAP Center was created with the aim to make feasible the use of NM monitor network data in real-time and able to furnish not only the data files but also software to check in near real-time the solar activity effects in the terrestrial environment Mavromichalaki et al, 2004).…”

Section: Introductionmentioning

confidence: 99%