Chemical Data Assimilation—An Overview

Adrian Sandu, Tianfeng Chai
2011 Atmosphere  
Chemical data assimilation is the process by which models use mea-1 surements to produce an optimal representation of the chemical composition of 2 the atmosphere. Leveraging advances in algorithms and increases in the available 3 computational power, the integration of numerical predictions and observations 4 has started to play an important role in air quality modeling. This paper gives an 5 overview of several methodologies used in chemical data assimilation. We discuss 6 the Bayesian
more » ... the Bayesian framework for developing data assimilation systems, the suboptimal 7 and the ensemble Kalman filter approaches, the optimal interpolation (OI), and 8 the three and four dimensional variational methods. Examples of assimilation real 9 observations with CMAQ model are presented. 10
doi:10.3390/atmos2030426 fatcat:mntu64jmgndorb525ha4zv7qom