Application of Adjoint Data Assimilation Method to Atmospheric Aerosol Transport Problems
Joint Authors
Source
Advances in Mathematical Physics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We propose combining the adjoint assimilation method with characteristic finite difference scheme (CFD) to solve the aerosol transport problems, which can predict the distribution of atmospheric aerosols efficiently by using large time steps.
Firstly, the characteristic finite difference scheme (CFD) is tested to compute the Gaussian hump using large time step sizes and is compared with the first-order upwind scheme (US1) using small time steps; the US1 method gets E2 error of 0.2887 using Δt=1/450, while CFD method gets a much smaller E2 of 0.2280 using a much larger time step Δt=1/45.
Then, the initial distribution of PM2.5 concentration is inverted by the adjoint assimilation method with CFD and US1.
The adjoint assimilation method with CFD gets better accuracy than adjoint assimilation method with US1 while adjoint assimilation method with CFD costs much less computational time.
Further, a real case of PM2.5 concentration distribution in China during the APEC 2014 is simulated by using adjoint assimilation method with CFD.
The simulation results are in good agreement with the observed values.
The adjoint assimilation method with CFD can solve large scale aerosol transport problem efficiently.
American Psychological Association (APA)
Xu, Minjie& Fu, Kai& Lv, Xianqing. 2017. Application of Adjoint Data Assimilation Method to Atmospheric Aerosol Transport Problems. Advances in Mathematical Physics،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1123234
Modern Language Association (MLA)
Xu, Minjie…[et al.]. Application of Adjoint Data Assimilation Method to Atmospheric Aerosol Transport Problems. Advances in Mathematical Physics No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1123234
American Medical Association (AMA)
Xu, Minjie& Fu, Kai& Lv, Xianqing. Application of Adjoint Data Assimilation Method to Atmospheric Aerosol Transport Problems. Advances in Mathematical Physics. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1123234
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123234