A Multiphase CMAQ Version 5.0 Adjoint

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F20%3A00531143" target="_blank" >RIV/67985807:_____/20:00531143 - isvavai.cz</a>

Result on the web

<a href="http://hdl.handle.net/11104/0309866" target="_blank" >http://hdl.handle.net/11104/0309866</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/gmd-13-2925-2020" target="_blank" >10.5194/gmd-13-2925-2020</a>

Result language

angličtina

Original language name

A Multiphase CMAQ Version 5.0 Adjoint

Original language description

We present the development of a multiphase adjoint 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 adjoint 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Geoscientific Model Development

ISSN

1991-959X

e-ISSN

—

Volume of the periodical

13

Issue of the periodical within the volume

7

Country of publishing house

DE - GERMANY

Number of pages

20

Pages from-to

2925-2944

UT code for WoS article

000547344400001

EID of the result in the Scopus database

2-s2.0-85088310443