Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal
We present a technique of MUF real-time forecast based on time extrapolation for maximum observed frequencies smoothed over a long-term forecast along a given path. We have validated the technique of fitting current data from the long-term forecast, using the OPEMI model, transmission curve method f...
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doaj-1ec9af5557fe4a38ad6c3ce5826a3b142020-11-25T00:57:51ZengINFRA-M Solar-Terrestrial Physics2500-05352018-09-0143839110.12737/stp-43201811Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signalIlyin N.V.0Bubnova T.V.1Grozov V.P.2Penzin M.S.3Ponomarchuk S.N. 4Institute of Solar-Terrestrial Physics SB RAS, Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Irkutsk, RussiaInstitute of Solar-Terrestrial Physics SB RAS, Irkutsk, RussiaWe present a technique of MUF real-time forecast based on time extrapolation for maximum observed frequencies smoothed over a long-term forecast along a given path. We have validated the technique of fitting current data from the long-term forecast, using the OPEMI model, transmission curve method for short paths, and method of normal waves for long paths (over 2000 km). This technique has been tested using data obtained at the chirp sounding network of ISTP SB RAS during periods of strong and weak solar activity. The quality of the forecast has been found to significantly improve in comparison to the long-term forecast, with advance intervals of real-time forecast from 15 to 30 min. The sessions, in which the real-time forecast error is less than 10 % for 15-min advance interval, comprise from 67 to 96 % of all sessions depending on season and radio path orientation. https://naukaru.ru/en/nauka/article/23013/view |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ilyin N.V. Bubnova T.V. Grozov V.P. Penzin M.S. Ponomarchuk S.N. |
spellingShingle |
Ilyin N.V. Bubnova T.V. Grozov V.P. Penzin M.S. Ponomarchuk S.N. Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal Solar-Terrestrial Physics |
author_facet |
Ilyin N.V. Bubnova T.V. Grozov V.P. Penzin M.S. Ponomarchuk S.N. |
author_sort |
Ilyin N.V. |
title |
Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal |
title_short |
Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal |
title_full |
Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal |
title_fullStr |
Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal |
title_full_unstemmed |
Real-time forecast of MUF for radio paths from current data obtained from oblique sounding with continuous chirp signal |
title_sort |
real-time forecast of muf for radio paths from current data obtained from oblique sounding with continuous chirp signal |
publisher |
INFRA-M |
series |
Solar-Terrestrial Physics |
issn |
2500-0535 |
publishDate |
2018-09-01 |
description |
We present a technique of MUF real-time forecast based on time extrapolation for maximum observed frequencies smoothed over a long-term forecast along a given path. We have validated the technique of fitting current data from the long-term forecast, using the OPEMI model, transmission curve method for short paths, and method of normal waves for long paths (over 2000 km). This technique has been tested using data obtained at the chirp sounding network of ISTP SB RAS during periods of strong and weak solar activity. The quality of the forecast has been found to significantly improve in comparison to the long-term forecast, with advance intervals of real-time forecast from 15 to 30 min. The sessions, in which the real-time forecast error is less than 10 % for 15-min advance interval, comprise from 67 to 96 % of all sessions depending on season and radio path orientation. |
url |
https://naukaru.ru/en/nauka/article/23013/view |
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