TY - JOUR
T1 - Daily and seasonal variations in the linear growth rate of the Rayleigh-Taylor instability in the ionosphere obtained with GAIA
AU - Shinagawa, Hiroyuki
AU - Jin, Hidekatsu
AU - Miyoshi, Yasunobu
AU - Fujiwara, Hitoshi
AU - Yokoyama, Tatsuhiro
AU - Otsuka, Yuichi
N1 - Funding Information:
Simulations and data analyses in this work were performed using Hitachi SR16000/M1 and the NICT Science Cloud System, Japan. Numerical simulation in this study was also performed as a computational joint research program at the Institute for Space-Earth Environmental Research, Nagoya University, Japan. The meteorological reanalysis data was obtained from the cooperative research project of the JRA-25 long-term reanalysis by the Japan Meteorological Agency (JMA) and the Central Research Institute of Electric Power Industry (CRIEPI) (http:// www.jreap.org/indexe.html). The F10.7 index data was obtained from NOAA/NCEI. Kp index data was obtained from World Data Center for Geomagnetism, Kyoto.
Funding Information:
This work is supported by JSPS KAKENHI Grant Numbers JP15H03733 and JP15H05815.
Publisher Copyright:
© 2018, The Author(s).
PY - 2018/12/1
Y1 - 2018/12/1
N2 - The linear growth rates of the Rayleigh-Taylor (R-T) instability in the ionosphere from 2011 to 2013 were obtained with a whole atmosphere-ionosphere coupled model GAIA (ground-to-topside model of atmosphere and ionosphere for aeronomy). The effects of thermospheric dynamics driven by atmospheric waves propagating from below on the R-T growth rate are included in the model by incorporating meteorological reanalysis data in the region below 30 km altitude. The daily maximum R-T growth rates for these periods are compared with the observed occurrence days of the equatorial plasma bubble (EPB) determined by the Equatorial Atmosphere Radar (EAR) and Global Positioning System (GPS) in West Sumatra, Indonesia. We found that a high R-T growth rate tends to correspond to the actual EPB occurrence, suggesting the possibility of predicting EPB occurrences with numerical models. [Figure not available: see fulltext.].
AB - The linear growth rates of the Rayleigh-Taylor (R-T) instability in the ionosphere from 2011 to 2013 were obtained with a whole atmosphere-ionosphere coupled model GAIA (ground-to-topside model of atmosphere and ionosphere for aeronomy). The effects of thermospheric dynamics driven by atmospheric waves propagating from below on the R-T growth rate are included in the model by incorporating meteorological reanalysis data in the region below 30 km altitude. The daily maximum R-T growth rates for these periods are compared with the observed occurrence days of the equatorial plasma bubble (EPB) determined by the Equatorial Atmosphere Radar (EAR) and Global Positioning System (GPS) in West Sumatra, Indonesia. We found that a high R-T growth rate tends to correspond to the actual EPB occurrence, suggesting the possibility of predicting EPB occurrences with numerical models. [Figure not available: see fulltext.].
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U2 - 10.1186/s40645-018-0175-8
DO - 10.1186/s40645-018-0175-8
M3 - Article
AN - SCOPUS:85043456423
SN - 2197-4284
VL - 5
JO - Progress in Earth and Planetary Science
JF - Progress in Earth and Planetary Science
IS - 1
M1 - 16
ER -