scholarly journals Analysis of the Ground-Level Enhancements on 14 July 2000 and 13 December 2006 Using Neutron Monitor Data

Solar Physics ◽  
2016 ◽  
Vol 291 (4) ◽  
pp. 1225-1239 ◽  
Author(s):  
A. Mishev ◽  
I. Usoskin
Solar Physics ◽  
2021 ◽  
Vol 296 (6) ◽  
Author(s):  
L. Xaplanteris ◽  
M. Livada ◽  
H. Mavromichalaki ◽  
L. Dorman ◽  
M. K. Georgoulis ◽  
...  

2009 ◽  
Vol 43 (4) ◽  
pp. 474-479 ◽  
Author(s):  
C. Plainaki ◽  
H. Mavromichalaki ◽  
A. Belov ◽  
E. Eroshenko ◽  
V. Yanke

2007 ◽  
Vol 25 ◽  
pp. 163-167 ◽  
Author(s):  
Marlos Rockenbach da Silva ◽  
Walter Demetrio Gonzalez Alarcon ◽  
Ezequiel Echer ◽  
Alisson Dal Lago ◽  
Luis Eduardo Antunes Vieira ◽  
...  

2021 ◽  
Vol 7 (3) ◽  
pp. 120-126
Author(s):  
Valery Yanchukovsky ◽  
Vasiliy Kuz'menko

We have carried out an experimental study of the influence of precipitation in the form of snow on measurements of the neutron flux intensity near Earth's surface. We have examined the state of the snow cover and its density, and found out that the density depends on the depth of the snow cover. Using the experimental results, we estimate the neutron absorption path in the snow. Changes in snow cover by 10–12 cm at a depth of 80 cm are shown to cause variations in the monitor count rate with an amplitude of 0.9 %. At the snow depth of 80 cm, the neutron monitor count rate decreases by about 8 %. The observed variations should be attributed to the meteorological effects of cosmic rays. The absorption coefficient of neutrons in the snow was also found from the correlation between the count rate of the neutron monitor and the amount of snow above the detector. We propose a real-time correction of the neutron monitor data for precipitation in the form of snow. For this purpose, we implement continuous monitoring of the amount of snow cover. The monitoring is provided by a snow meter made using a laser rangefinder module. We discuss the results obtained.


2017 ◽  
Vol 13 (S335) ◽  
pp. 301-303
Author(s):  
Marlon Núñez ◽  
Pedro J. Reyes-Santiago ◽  
Olga E. Malandraki

AbstractThis paper summarizes the first tool that is able to predict Ground Level Enhancements (GLE). It makes real-time predictions of the occurrence of GLE events from the analysis of soft X-ray and differential proton flux measured by the GOES satellite network. Before the development of this tool, space weather systems have been warning users about evolving GLE events by processing neutron measurements recorded on ground level. This tool, called HESPERIA UMASEP-500, can predict GLE events before the detection by any neutron monitor (NM) station. The prediction performance measured for the period from 1986 to 2016 is presented for two consecutive periods, because of their notable difference in performance. For the 2000-2016 period, this prediction tool obtained a probability of detection (POD) of 53.8% (7 of 13 GLE events), a false alarm ratio (FAR) of 30.0%, and average warning times (AWT) of 8 min and 15 min with respect to the first NM station’s alert and the GLE Alert Plus warning, respectively. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under agreement No 637324.


2016 ◽  
Vol 11 ◽  
pp. 24-28 ◽  
Author(s):  
M. Kákona ◽  
O. Ploc ◽  
D. Kyselová ◽  
J. Kubančák ◽  
R. Langer ◽  
...  

Solar Physics ◽  
2019 ◽  
Vol 294 (7) ◽  
Author(s):  
Sergey A. Koldobskiy ◽  
Gennady A. Kovaltsov ◽  
Alexander L. Mishev ◽  
Ilya G. Usoskin

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