Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons

Solar modulation of galactic cosmic rays around the solar minimum in 2019–2020 looks different in the secondary neutrons and muons observed at the ground. To compare the solar modulation of primary cosmic rays in detail, we must remove the possible seasonal variations caused by the atmosphere and su...

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Published in:Journal of Space Weather and Space Climate
Main Authors: Kataoka Ryuho, Sato Tatsuhiko, Kato Chihiro, Kadokura Akira, Kozai Masayoshi, Miyake Shoko, Murase Kiyoka, Yoshida Lihito, Tomikawa Yoshihiro, Munakata Kazuoki
Format: Article in Journal/Newspaper
Language:English
Published: EDP Sciences 2022
Subjects:
Online Access:https://doi.org/10.1051/swsc/2022033
https://doaj.org/article/e1e8eca4aa864fc69a773c49a99e9cd4
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spelling ftdoajarticles:oai:doaj.org/article:e1e8eca4aa864fc69a773c49a99e9cd4 2023-05-15T13:44:14+02:00 Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons Kataoka Ryuho Sato Tatsuhiko Kato Chihiro Kadokura Akira Kozai Masayoshi Miyake Shoko Murase Kiyoka Yoshida Lihito Tomikawa Yoshihiro Munakata Kazuoki 2022-01-01T00:00:00Z https://doi.org/10.1051/swsc/2022033 https://doaj.org/article/e1e8eca4aa864fc69a773c49a99e9cd4 EN eng EDP Sciences https://www.swsc-journal.org/articles/swsc/full_html/2022/01/swsc220044/swsc220044.html https://doaj.org/toc/2115-7251 2115-7251 doi:10.1051/swsc/2022033 https://doaj.org/article/e1e8eca4aa864fc69a773c49a99e9cd4 Journal of Space Weather and Space Climate, Vol 12, p 37 (2022) galactic cosmic rays solar modulation ground observation neutron monitor muon detector seasonal variation snow cover machine learning echo state network Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.1051/swsc/2022033 2022-12-30T21:13:37Z Solar modulation of galactic cosmic rays around the solar minimum in 2019–2020 looks different in the secondary neutrons and muons observed at the ground. To compare the solar modulation of primary cosmic rays in detail, we must remove the possible seasonal variations caused by the atmosphere and surrounding environment. As such surrounding environment effects, we evaluate the snow cover effect on neutron count rate and the atmospheric temperature effect on muon count rate, both simultaneously observed at Syowa Station in the Antarctic (69.01° S, 39.59° E). A machine learning technique, Echo State Network (ESN), is applied to estimate both effects hidden in the observed time series of the count rate. We show that the ESN with the input of GDAS data (temperature time series at 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, and 20 hPa) at the local position can be useful for both the temperature correction for muons and snow cover correction for neutrons. The corrected muon count rate starts decreasing in late 2019, preceding the corrected neutron count rate which starts decreasing in early 2020, possibly indicating the rigidity-dependent solar modulation in the heliosphere. Article in Journal/Newspaper Antarc* Antarctic Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Syowa Station Parma ENVELOPE(57.468,57.468,65.951,65.951) Journal of Space Weather and Space Climate 12 37
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic galactic cosmic rays
solar modulation
ground observation
neutron monitor
muon detector
seasonal variation
snow cover
machine learning
echo state network
Meteorology. Climatology
QC851-999
spellingShingle galactic cosmic rays
solar modulation
ground observation
neutron monitor
muon detector
seasonal variation
snow cover
machine learning
echo state network
Meteorology. Climatology
QC851-999
Kataoka Ryuho
Sato Tatsuhiko
Kato Chihiro
Kadokura Akira
Kozai Masayoshi
Miyake Shoko
Murase Kiyoka
Yoshida Lihito
Tomikawa Yoshihiro
Munakata Kazuoki
Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
topic_facet galactic cosmic rays
solar modulation
ground observation
neutron monitor
muon detector
seasonal variation
snow cover
machine learning
echo state network
Meteorology. Climatology
QC851-999
description Solar modulation of galactic cosmic rays around the solar minimum in 2019–2020 looks different in the secondary neutrons and muons observed at the ground. To compare the solar modulation of primary cosmic rays in detail, we must remove the possible seasonal variations caused by the atmosphere and surrounding environment. As such surrounding environment effects, we evaluate the snow cover effect on neutron count rate and the atmospheric temperature effect on muon count rate, both simultaneously observed at Syowa Station in the Antarctic (69.01° S, 39.59° E). A machine learning technique, Echo State Network (ESN), is applied to estimate both effects hidden in the observed time series of the count rate. We show that the ESN with the input of GDAS data (temperature time series at 925, 850, 700, 600, 500, 400, 300, 250, 200, 150, 100, 70, 50, 30, and 20 hPa) at the local position can be useful for both the temperature correction for muons and snow cover correction for neutrons. The corrected muon count rate starts decreasing in late 2019, preceding the corrected neutron count rate which starts decreasing in early 2020, possibly indicating the rigidity-dependent solar modulation in the heliosphere.
format Article in Journal/Newspaper
author Kataoka Ryuho
Sato Tatsuhiko
Kato Chihiro
Kadokura Akira
Kozai Masayoshi
Miyake Shoko
Murase Kiyoka
Yoshida Lihito
Tomikawa Yoshihiro
Munakata Kazuoki
author_facet Kataoka Ryuho
Sato Tatsuhiko
Kato Chihiro
Kadokura Akira
Kozai Masayoshi
Miyake Shoko
Murase Kiyoka
Yoshida Lihito
Tomikawa Yoshihiro
Munakata Kazuoki
author_sort Kataoka Ryuho
title Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
title_short Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
title_full Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
title_fullStr Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
title_full_unstemmed Local environmental effects on cosmic ray observations at Syowa Station in the Antarctic: PARMA-based snow cover correction for neutrons and machine learning approach for neutrons and muons
title_sort local environmental effects on cosmic ray observations at syowa station in the antarctic: parma-based snow cover correction for neutrons and machine learning approach for neutrons and muons
publisher EDP Sciences
publishDate 2022
url https://doi.org/10.1051/swsc/2022033
https://doaj.org/article/e1e8eca4aa864fc69a773c49a99e9cd4
long_lat ENVELOPE(57.468,57.468,65.951,65.951)
geographic Antarctic
The Antarctic
Syowa Station
Parma
geographic_facet Antarctic
The Antarctic
Syowa Station
Parma
genre Antarc*
Antarctic
genre_facet Antarc*
Antarctic
op_source Journal of Space Weather and Space Climate, Vol 12, p 37 (2022)
op_relation https://www.swsc-journal.org/articles/swsc/full_html/2022/01/swsc220044/swsc220044.html
https://doaj.org/toc/2115-7251
2115-7251
doi:10.1051/swsc/2022033
https://doaj.org/article/e1e8eca4aa864fc69a773c49a99e9cd4
op_doi https://doi.org/10.1051/swsc/2022033
container_title Journal of Space Weather and Space Climate
container_volume 12
container_start_page 37
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