What is it about?

Solar activity is the most dominant driver of space weather. In this paper, we investigate the impact of different solar activity levels on forecasting the quantities important for space weather (e.g. electron and neutral densities). The results are useful to explain the inherent model bias, to understand the limitations of the data, and to demonstrate the capability of the assimilation technique.

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Why is it important?

In this work, we assimilate globally abundant radio occultation-derived electron density into a physics-based model. RO-derived electron density is one of the most promising means to test the effect of assimilation on the model forecasted state on a global scale.


The results of this work give us some nice insights into data assimilation applied to space weather. More work needed to identify and improve model bias due to external forcing.

Dr Timothy Kodikara

Read the Original

This page is a summary of: The Impact of Solar Activity on Forecasting the Upper Atmosphere via Assimilation of Electron Density Data, Space Weather, March 2021, American Geophysical Union (AGU), DOI: 10.1029/2020sw002660.
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