TY - JOUR
T1 - Numerical forecast of the upper atmosphere and ionosphere using GAIA
AU - Tao, Chihiro
AU - Jin, Hidekatsu
AU - Miyoshi, Yasunobu
AU - Shinagawa, Hiroyuki
AU - Fujiwara, Hitoshi
AU - Nishioka, Michi
AU - Ishii, Mamoru
N1 - Funding Information:
The dataset used for this study is provided from the Japanese 55-year Reanalysis (JRA-55) project carried out by the Japan Meteorological Agency (JMA). The dataset of the solar F10.7 index is from Natural Resources Canada. This model computation was carried out using the computer facility at the National Institute of Information and Communications Technologies. Model results are provided to the scientific community on request (contact: chihiro.tao@nict.go.jp). This research is proceeded within a commissioned research of the Ministry of Internal Affairs and Communications, Japan, "Promotion of observation and analysis of radio wave propagation" and is supported by MEXT/JSPS KAKENHI Grants 15H05813 and 19K03942.
Publisher Copyright:
© 2020, The Author(s).
PY - 2020/12
Y1 - 2020/12
N2 - Upper atmospheric conditions are crucial for the safe operation of spacecraft orbiting near Earth and for communication and positioning systems using radio signals. To understand and predict the upper atmospheric conditions, which include complex variations affected by both low altitude and upper surrounding environments, we have developed a quasi-real-time and forecast simulations using a physical global model, the Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy (GAIA). The GAIA simulation system provides a global distribution of ionospheric total electron content (TEC) with background atmospheric and electric distributions including a few-days prediction. The prediction accuracy for the detection of significant ionospheric storms decreases with increasing lead time, i.e., the duration of the model simulation which is not constrained by realistic input parameters. Similar characteristic variations associated with sudden stratospheric warmings (SSWs) are reproduced with the full or limited input of meteorological data at least the prior 3 days. This is a first step toward the usage of GAIA for space weather forecasting. [Figure not available: see fulltext.]
AB - Upper atmospheric conditions are crucial for the safe operation of spacecraft orbiting near Earth and for communication and positioning systems using radio signals. To understand and predict the upper atmospheric conditions, which include complex variations affected by both low altitude and upper surrounding environments, we have developed a quasi-real-time and forecast simulations using a physical global model, the Ground-to-topside model of Atmosphere and Ionosphere for Aeronomy (GAIA). The GAIA simulation system provides a global distribution of ionospheric total electron content (TEC) with background atmospheric and electric distributions including a few-days prediction. The prediction accuracy for the detection of significant ionospheric storms decreases with increasing lead time, i.e., the duration of the model simulation which is not constrained by realistic input parameters. Similar characteristic variations associated with sudden stratospheric warmings (SSWs) are reproduced with the full or limited input of meteorological data at least the prior 3 days. This is a first step toward the usage of GAIA for space weather forecasting. [Figure not available: see fulltext.]
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U2 - 10.1186/s40623-020-01307-x
DO - 10.1186/s40623-020-01307-x
M3 - Article
AN - SCOPUS:85096431783
SN - 1343-8832
VL - 72
JO - Earth, Planets and Space
JF - Earth, Planets and Space
IS - 1
M1 - 178
ER -