Japan Geoscience Union Meeting 2019

Presentation information

[E] Oral

P (Space and Planetary Sciences ) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM09] Vertical coupling in the atmosphere and Ionosphere

Thu. May 30, 2019 9:00 AM - 10:30 AM A03 (TOKYO BAY MAKUHARI HALL)

convener:Huixin Liu(Earth and Planetary Science Division, Kyushu University SERC, Kyushu University), Loren Chang(Institute of Space Science, National Central University), Yuichi Otsuka(Institute for Space-Earth Environmental Research, Nagoya University), Chairperson:Huixin Liu(Kyushu University, Japan), Stan Solomon(National Center for Atmospheric Research, US)

9:00 AM - 9:20 AM

[PEM09-11] Assimilation products of thermospheric and ionospheric measurements by the NASA Ionopsheric Connection Explorer

★Invited Papers

*Thomas J Immel1, Chihoko Cullens1, Yen-Jung Wu1, Gary Bust2, Jeffrey Forbes3, Scott L England4 (1.University of California, Berkeley, 2.Johns Hopkins University, 3.University of Colorado, 4.Virginia Tech)

Keywords:ionosphere , thermosphere, atmospheric tides

ICON is an orbiting NASA observatory built to simultaneously observe the characteristics of the ionosphere and thermosphere in order to understand the connection between conditions in space and energy sources in the atmosphere below. Ready for launch in 2019 into a 27 degree inclination, 575 km altitude orbit, it will provide neutral wind, density and temperature products as well as in-situ and remotely-sensed ionospheric densities. These products will inform the conditions of two models that assimilate the data in different ways, and be available on the ICON website. The first is the TIEGCM, where assimilation is accomplished through modification of the winds and temperatures at the lower boundary as prescribed by observations . The second is the IDA4D model, that through a Gauss-Markhov scheme modifies a background ionosphere with actual observations that include many different sources including ICON. Given the expected sampling and data uncertainties from ICON, the expected performance of these models is reported. ICON expects a launch in 2019.