[MSD44-P12] Satellite Observation of the Whole Atmosphere - Superconducting Submillimeter-Wave Limb-Emission Sounder (SMILES-2)
Keywords:middle atmosphere, upper atmosphere, satellite observations, temperature, wind
Based on the SMILES heritage, we propose a satellite mission to observe temperature and wind fields, and distributions of atmospheric minor species for the full diurnal cycle from the middle atmosphere (stratosphere and mesosphere) to the upper atmosphere (thermosphere and ionosphere) for a period of five years. SMILES-2 observations will enable us to obtain global information with unprecedented accuracy on the whole atmosphere including upper mesosphere and lower thermosphere where observation data have been lacking.
This mission has four science objectives:
(MO.1) To investigate the 4-D space-time structure of the diurnal variations (atmospheric tides) in view of dynamics, chemistry, and electromagnetic processes
(MO.2) To unveil the vertical propagation of synoptic-to-planetary scale disturbances from the middle atmosphere (non-migrating tides and stratospheric sudden warming events) to the upper atmosphere
(MO.3) To understand atmospheric variations due to energy inputs from the magnetosphere (particle precipitation and magnetic storm)
(MO.4) To provide benchmarks for whole atmosphere models and climate models with detailed description of the background thermal structure and distribution of minor species
Using observation data from the middle atmosphere to the upper atmosphere as a whole, we will be able to grasp the 4-D dynamical structure of diurnal variations (atmospheric tides) which are one of the most essential variabilities in the earth’s atmosphere. For understanding climate change in view of chemical processes affecting the ozone layer, we will be able to utilize high-sensitivity measurements of the atmospheric minor species in a quantitative manner. In the upper atmosphere, a transition layer between the atmosphere and the outer space, we will be able to clarify a role of energy inputs from the magnetosphere from the temperature and wind observations. These outcomes including the atmospheric trace gas data will greatly contribute to improvement in reliability of chemistry climate models for future projection and accuracy of prediction models for space weather.