Dry Deposition Methods Based on Turbulence Kinetic Energy: 2. Extension to Particle Deposition Using a Single‐Point Model-Reference-Cited by-同舟云学术

Dry Deposition Methods Based on Turbulence Kinetic Energy: 2. Extension to Particle Deposition Using a Single‐Point Model

Published:2022-11-25 Issue:22 Volume:127 Page:
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:JGR Atmospheres

Author:

Cheng Bin¹²,Alapaty Kiran³^ORCID,Shu Qian¹,Arunachalam Saravanan²^ORCID

Affiliation:

1. Postdoctoral Research Participant Oak Ridge Institute for Science and Education Office of Research and Development Center for Environmental Measurement and Modeling Atmospheric and Environmental Systems Modeling Division U.S. Environmental Protection Agency Research Triangle Park NC USA

2. Institute for the Environment The University of North Carolina at Chapel Hill Chapel Hill NC USA

3. Center for Environmental Measurement and Modeling Office of Research and Development U.S. Environmental Protection Agency Research Triangle Park NC USA

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022JD037803

Reference52 articles.

1. Emission and dry deposition of accumulation mode particles in the Amazon Basin

2. Dry Deposition Methods Based on Turbulence Kinetic Energy: 1. Evaluation of Various Resistances and Sensitivity Studies Using a Single‐Point Model

3. The Regional Particulate Matter Model: 1. Model description and preliminary results

4. A heated leaf replica technique for determination of leaf boundary layer conductance in the field

5. Air quality model performance evaluation

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A study of particle dry deposition parameterizations in an atmospheric radioactive preparedness model: Application to the Chernobyl case;Journal of Hazardous Materials;2024-08

2. Observational constraints on the parameterization of particle dry deposition over bare cropland;Atmospheric Environment;2024-07

3. Mapping the seamless hourly surface visibility in China: a real-time retrieval framework using a machine-learning-based stacked ensemble model;npj Climate and Atmospheric Science;2024-03-13

4. An analysis of CMAQ gas-phase dry deposition over North America through grid-scale and land-use-specific diagnostics in the context of AQMEII4;Atmospheric Chemistry and Physics;2023-07-20