The Atmospheric Response to Solar Variability: Simulations with a 3D Particle Precipitation Model for the Entire Atmosphere

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The influence of precipitating energetic particles on the composition and dynamics of the atmosphere is a challenging issue in climate modeling. Such particles can also be used as test stimulus for inter-comparison of the chemistry part in different models and comparison of model results to observations – which will be done with the data derived from this model within the framework of HEPPA and the MIPAS data user community. This proposal is concerned with the refinement and validation of the Atmospheric Ionization Module Osnabrück (AIMOS), giving the 3D precipitation pattern of solar and magnetospheric particles, and its implementation as a data server to the atmospheric modeler community, in particular the groups participating in CAWSES. Question to be addressed include: (a) validation of the spatial precipitation pattern inferred from the satellite data, (b) extension of the data base (satellite measurements), (c) development/implementation of a proxy for 3D magnetospheric particle precipitation from the kp index, (d) analysis of particle precipitation in the South Atlantic Anomaly, and (e) determination of 3D ionization maps in extreme events such as Carrington’s white light flare. More technical questions include (f) the assurance of data quality (sensor degeneration, crosstalk, magnetopause inside satellite orbit), (g) the development of an interpolation routine to adopt to the spatial grids of the different model atmospheres, and (h) the development and implementation of a user interface for easy access.