Earth, planets, and space, 2020-11, Vol.72 (1), Article 178
2020
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Details
- Autor(en) / Beteiligte
- Titel
- Numerical forecast of the upper atmosphere and ionosphere using GAIA
- Ist Teil von
- Earth, planets, and space, 2020-11, Vol.72 (1), Article 178
- Ort / Verlag
- Berlin/Heidelberg: Springer Berlin Heidelberg
- Erscheinungsjahr
- 2020
- Quelle
- Free E-Journal (出版社公開部分のみ）
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1880-5981, 1343-8832eISSN: 1880-5981DOI: 10.1186/s40623-020-01307-xTitel-ID: cdi_proquest_journals_2473254269
- Format
- –
- Schlagworte
- 3. Space science, Aeronomy, Atmosphere, Atmosphere, Upper, Earth and Environmental Science, Earth Sciences, Forecasts and trends, Geology, Geophysics/Geodesy, Ionosphere, Ionospheric electron content, Ionospheric models, Ionospheric storms, Lead time, Low altitude, Mathematical models, Meteorological data, Natural history, Numerical forecasting, Radio signals, Simulation, Solar-Terrestrial Environment Prediction: Toward the Synergy of Science and Forecasting Operation of Space Weather and Space Climate, Space weather, Spacecraft, Stratospheric warming, Total Electron Content, Upper atmosphere, Weather forecasting