Files and links (1)
Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
A multiphase CMAQ version 5.0 adjoint
Geoscientific model development, v 13(7), pp 2925-2944
02 Jul 2020
PMID: 33343831
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We present the development of a multiphase ad-joint for the Community Multiscale Air Quality (CMAQ) model, a widely used chemical transport model. The adjoint model provides location- and time-specific gradients that can be used in various applications such as backward sensitivity analysis, source attribution, optimal pollution control, data assimilation, and inverse modeling. The science processes of the CMAQ model include gas-phase chemistry, aerosol dynamics and thermodynamics, cloud chemistry and dynamics, diffusion, and advection. Discrete adjoints are implemented for all the science processes, with an additional continuous adjoint for advection. The development of discrete adjoints is assisted with algorithmic differentiation (AD) tools. Particularly, the Kinetic PreProcessor (KPP) is implemented for gas-phase and aqueous chemistry, and two different automatic differentiation tools are used for other processes such as clouds, aerosols, diffusion, and advection. The continuous adjoint of advection is developed manually. For adjoint validation, the brute-force or finite-difference method (FDM) is implemented process by process with box- or column-model simulations. Due to the inherent limitations of the FDM caused by numerical round-off errors, the complex variable method (CVM) is adopted where necessary. The ad-joint model often shows better agreement with the CVM than with the FDM. The adjoints of all science processes compare favorably with the FDM and CVM. In an example application of the full multiphase adjoint model, we provide the first estimates of how emissions of particulate matter (PM2.5) affect public health across the US.
Metrics
Details
- Title
- A multiphase CMAQ version 5.0 adjoint
- Creators
- Shunliu Zhao - Carleton UniversityMatthew G. Russell - Carleton UniversityAmir Hakami - Carleton UniversityShannon L. Capps - Drexel UniversityMatthew D. Turner - Stennis Space CenterDaven K. Henze - University of Colorado BoulderPeter B. Percell - University of HoustonJaroslav Resler - Czech Academy of SciencesHuizhong Shen - Georgia Institute of TechnologyArmistead G. Russell - Georgia Institute of TechnologyAthanasios Nenes - Foundation for Research and Technology HellasAmanda J. Pappin - Health CanadaSergey L. Napelenok - Research Triangle Park FoundationJesse O. Bash - Research Triangle Park FoundationKathleen M. Fahey - Research Triangle Park FoundationGregory R. Carmichael - University of IowaCharles O. Stanier - University of IowaTianfeng Chai - University of Maryland, College Park
- Publication Details
- Geoscientific model development, v 13(7), pp 2925-2944
- Publisher
- Copernicus Gesellschaft Mbh
- Number of pages
- 20
- Grant note
- NNX16AQ26G / NASA; National Aeronautics & Space Administration (NASA) 4962-RFA17-2/18-4 / Health Effects Institute RGPIN-2016-06181 / Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada (NSERC); CGIAR 4500383370 / Health Canada NSF Graduate Research Fellowship; National Science Foundation (NSF) ConocoPhillips Company 726165 / project PyroTRACH (ERC-2016-COG) from H2020-EU.1.1. - Excellent Science - European Research Council (ERC) RD-833866 / US EPA STAR Grant; United States Environmental Protection Agency
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000547344400001
- Scopus ID
- 2-s2.0-85088310443
- Other Identifier
- 991019168105104721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Industry collaboration
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Geosciences, Multidisciplinary