Data Assimilation In Models: The Time Has Come

Physics – Space Physics

Scientific paper

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Scientific paper

Models of the space environment are maturing; at the same time, increasing amounts and kinds of observational data are becoming available. If meteorological modeling experience is any guide, the development of physics-based space environment models that assimilate multiple data streams, during the model calculation, will improve our understanding of the physical processes at work. This type of data assimilation is quite different from using observations to set initial or boundary conditions on models. The need for data assimilation was recognized by the National Research Council's recent "Decadal Survey" of solar and space physics. This talk sets the stage for this session by presenting the case for building data assimilation into models of the space environment. I will show the remarkable abundance of data quantity and types that will become available in the next few years. Some of the data will be available in real time; other data will become available later to provide a more comprehensive description of an event. The benefit of using contemporaneous in situ and remote sensing (perhaps from multiple perspectives) observations in models will be illustrated by cartoon examples.

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