Sangam: A Confluence of Knowledge Streams

Chemical Data Assimilation-An Overview

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dc.contributor Computer Science
dc.contributor Virginia Tech
dc.creator Sandu, Adrian
dc.creator Chai, Tianfeng
dc.date 2014-05-14T13:12:28Z
dc.date 2014-05-14T13:12:28Z
dc.date 2011-08-29
dc.date 2014-05-08
dc.date.accessioned 2023-03-01T18:54:40Z
dc.date.available 2023-03-01T18:54:40Z
dc.identifier Sandu, A.; Chai, T. F., "Chemical Data Assimilation-An Overview," Atmosphere 2011, 2(3), 426-463; doi:10.3390/atmos2030426.
dc.identifier 2073-4433
dc.identifier http://hdl.handle.net/10919/47972
dc.identifier http://www.mdpi.com/2073-4433/2/3/426
dc.identifier https://doi.org/10.3390/atmos2030426
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/281854
dc.description Chemical data assimilation is the process by which models use measurements to produce an optimal representation of the chemical composition of the atmosphere. Leveraging advances in algorithms and increases in the available computational power, the integration of numerical predictions and observations has started to play an important role in air quality modeling. This paper gives an overview of several methodologies used in chemical data assimilation. We discuss the Bayesian framework for developing data assimilation systems, the suboptimal and the ensemble Kalman filter approaches, the optimal interpolation (OI), and the three and four dimensional variational methods. Examples of assimilation real observations with CMAQ model are presented.
dc.description NSF NSF OCI-0904397, NSF CCF-0916493, NSF DMSipound0915047
dc.description Published version
dc.format application/pdf
dc.format application/pdf
dc.language en
dc.publisher MDPI
dc.rights Creative Commons Attribution 4.0 International
dc.rights http://creativecommons.org/licenses/by/4.0/
dc.subject Chemical transport modeling
dc.subject Data assimilation
dc.subject Kalman filtering
dc.subject Variational methods
dc.subject Ensemble kalman filter
dc.subject Variational data assimilation
dc.subject Adjoint
dc.subject Sensitivity analysis
dc.subject Air-quality models
dc.subject Dynamically consistent
dc.subject Formulations
dc.subject Bound-constrained optimization
dc.subject Atmospheric data
dc.subject Assimilation
dc.subject Sequential data assimilation
dc.subject Discrete advection adjoints
dc.subject Chemistry-transport model
dc.subject Meteorology & atmospheric sciences
dc.title Chemical Data Assimilation-An Overview
dc.title Atmosphere
dc.type Article - Refereed
dc.type Text


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