2013
DOI: 10.1002/swe.20050
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New Ages of Operational Space Weather Forecast in Japan

Abstract: The origin of Japanese space weather forecast comes from the forecast of radio wave broadcasts which provide current and future conditions of radio wave propagation for telecommunications. The Japanese radio wave forecast service began in the 1940s. To improve the reliability of long-distance telecommunications by radio waves, the subject "solar activity effect to the ionosphere" was extensively studied in the 1950s. During these research activities, the relationships between radio propagation and solar microw… Show more

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Cited by 19 publications
(12 citation statements)
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“…Furthermore, many additional attempts have been made to forecast high‐energy electron flux at GEO using a variety of techniques, including neural network models [ Koons and Gorney , ; Ling et al ., ], a data‐derived model for daily flux maxima [ Ukhorskiy et al ., ], and a liner prediction using Kalman filters [ Rigler et al ., ]. The Japanese space weather information center at the National Institute of Information and Communications Technology (NICT) [ Nagatsuma , ] has been providing relativistic electron flux prediction near GEO satellites since 2012 (http://seg-web.nict.go.jp/radi/en). Their prediction is based on a multivariate autoregressive (AR) model that calculates future log‐flux variations by accounting for a few days lagging response of the electron flux to several solar wind parameter changes [ Sakaguchi et al ., ].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, many additional attempts have been made to forecast high‐energy electron flux at GEO using a variety of techniques, including neural network models [ Koons and Gorney , ; Ling et al ., ], a data‐derived model for daily flux maxima [ Ukhorskiy et al ., ], and a liner prediction using Kalman filters [ Rigler et al ., ]. The Japanese space weather information center at the National Institute of Information and Communications Technology (NICT) [ Nagatsuma , ] has been providing relativistic electron flux prediction near GEO satellites since 2012 (http://seg-web.nict.go.jp/radi/en). Their prediction is based on a multivariate autoregressive (AR) model that calculates future log‐flux variations by accounting for a few days lagging response of the electron flux to several solar wind parameter changes [ Sakaguchi et al ., ].…”
Section: Introductionmentioning
confidence: 99%
“…Better representation of these phenomena in numerical simulations is primarily an issue of physical models and code coupling, but knowing whether the phenomena are indeed better represented requires having appropriate data. Validation of predictions has recently seen a more coordinated effort to standardize methods, terminology and establish best practices for different parts of the space weather research community (M. W. Liemohn 10.1029/2018SW002108 Nagatsuma (2013) draws attention to the fact that current operational physics models do not adequately meet the needs of space weather customers and, therefore, a wide variety of empirically derived models are in service (Sakaguchi et al, 2013) or under experimental testing with space weather agencies. Even NSWP models use empirical models, typically in the form of simple parametrizations (Owens et al, 2017b;Welling et al, 2017), to specify physics not explicitly captured in the physics-based models.…”
Section: Capturing Essential Phenomenologiesmentioning
confidence: 99%
“…These networks are used for operation and research of space weather forecasting [3]. For space weather monitoring, most of the data obtained from the networks are available in near-real time.…”
Section: Ground-based Observationmentioning
confidence: 99%
“…To mitigate spacecraft anomalies, monitoring and forecasting of geospace is important. National Institute of Information and Communications Technology (NICT) is in charge of operational space *Corresponding author: tnagatsu@nict.go.jp weather service in Japan as regional warning centre of International Space Environment Service (ISES) [3].…”
Section: Introductionmentioning
confidence: 99%