Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

A. V. Penenko; A. V. Gochakov; P. N. Antokhin

doi:10.1117/12.2575649

12 November 2020 Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data

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

Author Affiliations +

Proceedings Volume 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics; 115607I (2020) https://doi.org/10.1117/12.2575649
Event: 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 2020, Moscow, Russian Federation

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.

Citation Download Citation

A. V. Penenko, A. V. Gochakov, and P. N. Antokhin "Numerical study of emission sources identification algorithm with joint use of in situ and remote sensing measurement data", Proc. SPIE 11560, 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, 115607I (12 November 2020); https://doi.org/10.1117/12.2575649

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available