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Numerical Study Of Emission Sources Identification Algorithm With Joint Use Of In Situ And Remote Sensing Measurement Data

A. Penenko,A. Gochakov,P. N. Antokhin

26TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS, ATMOSPHERIC PHYSICS（2020）

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Abstract
The algorithm for source identification and concentration field reconstruction problems for an atmospheric chemistry transport and transformation model is tested with combined in situ and remote sensing data. It is based on the ensembles of the adjoint problem solutions and the sensitivity operators. Novosibirsk city traffic emissions inverse modeling scenario is used to test the algorithm.
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Key words
source identification problem, atmospheric chemistry, remote sensing data, in situ measurements, continuation problem, Novosibirsk city, adjoint ensemble, sensitivity operator
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