Abstract
Coupled data assimilation is one of the most active research areas in recent years because of its potential for improving the prediction of coupled modeling systems. Among various coupling options, strongly coupled data assimilation is the most efficient option for processing the information from observations. At the same time, coupled aerosol-atmosphere modeling is steadily gaining more interest due to its relevance to air quality, aviation, solar energy, and climate. It is well known that aerosols play an important role in Earth’s radiation balance. Aerosol-atmosphere interaction is clearly multi-scale, from large-scale stratospheric impact to small-scale aerosol-cloud interaction. Such complex prediction system requires advanced data assimilation methodology that can deal with multi-scale interactions and observation information flow. In this chapter we address theoretical and practical aspects of strongly coupled data assimilation in application to aerosol-atmosphere coupling. We describe major aspects of developing strongly coupled data assimilation and related challenges. We also show results from a case study using a recently developed regional aerosol-atmosphere coupled data assimilation system. Finally, a general discussion on the future needs of strongly coupled data assimilation is provided.
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Wu, TC., Zupanski, M., Kliewer, A., Grasso, L., Grant, L.D. (2022). Theoretical and Practical Aspects of Strongly Coupled Aerosol-Atmosphere Data Assimilation. In: Park, S.K., Xu, L. (eds) Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV). Springer, Cham. https://doi.org/10.1007/978-3-030-77722-7_18
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