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Whole atmosphere-ionosphere data assimilation and ensemble forecasting system

Authors

Matsuo,  Tomoko
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Hsu,  Chih-Ting
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Cantrall,  Clayton
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Fan,  Shen
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Ratheeshbabu,  Akash
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Kubaryk,  Adam
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Dilorenzo,  Brandon
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Shao,  Hui
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Maruyama,  Naomi
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Fuller-Rowell,  Tim
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Fang,  Tzu-Wei
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Matsuo, T., Hsu, C.-T., Cantrall, C., Fan, S., Ratheeshbabu, A., Kubaryk, A., Dilorenzo, B., Shao, H., Maruyama, N., Fuller-Rowell, T., Fang, T.-W. (2023): Whole atmosphere-ionosphere data assimilation and ensemble forecasting system, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4819


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021224
Abstract
Accurate forecasting of the ionosphere-thermosphere conditions is critical to radio communication, navigation, positioning, and satellite tracking. Located at the intersection between geospace and the Earth’s atmosphere, the ionosphere-thermosphere is exposed to drivers from both space and terrestrial weather that operate over a wide range of spatial and temporal scales. With an increased availability of geospace data from recent missions such as NASA GOLD and NASA ICON as well as COSMIC-II, the use of a single seamless system, extending from the ground to geospace, to assimilate observations from both Earth and geospace observing systems is becoming a real possibility. This paper will report on recent progress with research efforts to develop a capability to assimilate geospace satellite data into a coupled whole atmosphere-ionosphere-plasmasphere model as an integral part of the NOAA National Weather Service’s operational ensemble forecasting and data assimilation systems.