The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
A revised parameterization for gaseous dry deposition in air-quality models
Open accessAbstract
Abstract. A parameterization scheme for calculating gaseous dry deposition velocities in air-quality models is revised based on recent study results on non-stomatal uptake of O3 and SO2 over 5 different vegetation types. Non-stomatal resistance, which includes in-canopy aerodynamic, soil and cuticle resistances, for SO2 and O3 is parameterized as a function of friction velocity, relative humidity, leaf area index, and canopy wetness. Non-stomatal resistance for other chemical species is scaled to those of SO2 and O3 based on their chemical and physical characteristics. Stomatal resistance is calculated using a two-big-leaf stomatal resistance sub-model for all gaseous species of interest. The improvements in the present model compared to its earlier version include a newly developed non-stomatal resistance formulation, a realistic treatment of cuticle and ground resistance in winter, and the handling of seasonally-dependent input parameters. Model evaluation shows that the revised parameterization can provide more realistic deposition velocities for both O3 and SO2, especially for wet canopies. Example model output shows that the parameterization provides reasonable estimates of dry deposition velocities for different gaseous species, land types and diurnal and seasonal variations. Maximum deposition velocities from model output are close to reported measurement values for different land types. The current parameterization can be easily adopted into different air-quality models that require inclusion of dry deposition processes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Jarvis, P. G. (1976) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1976.0035 · Cited by 3,260
Parameterization of surface resistances to gaseous dry deposition in regional-scale numerical models
Wesely, M. L. (1989) · Atmospheric Environment (1967) · doi:10.1016/0004-6981(89)90153-4 · Cited by 2,304
A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation
Sellers, P. J., Randall, D. A., Collatz, G. J., Berry, J. A., Field, C. B., Dazlich, D. A., Zhang, C., Collelo, G. D., & Bounoua, L. (1996) · Journal of Climate · doi:10.1175/1520-0442(1996)009<0676:arlspf>2.0.co;2 · Cited by 1,968
WESELY, M. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.10.058 · Cited by 1,873
Atmospheric Turbulence: Models and Methods for Engineering Applications
Panofsky, H. A., & Dutton, J. A. (1984) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 1,077
Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M., & Staniforth, A. (1998) · Monthly Weather Review · doi:10.1175/1520-0493(1998)126<1373:tocmge>2.0.co;2 · Cited by 1,045
Science algorithms of the EPA Models-3 community multi-scale air quality (CMAQ) modeling system
Byun, D. W. (1999) · Medical Entomology and Zoology · Cited by 954
A three‐dimensional Eulerian acid deposition model: Physical concepts and formulation
Chang, J. S., Brost, R. A., Isaksen, I. S. A., Madronich, S., Middleton, P., Stockwell, W. R., & Walcek, C. J. (1987) · Journal of Geophysical Research: Atmospheres · doi:10.1029/jd092id12p14681 · Cited by 896
A review of the current status of knowledge on dry deposition
Wesely, M. (2000) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00467-7 · Cited by 882
Modelling stomatal ozone flux across Europe
Emberson, L. D., Ashmore, M. R., Cambridge, H. M., Simpson, D., & Tuovinen, J.-P. (2000) · Environmental Pollution · doi:10.1016/s0269-7491(00)00043-9 · Cited by 565
Cited by
RegCM4: model description and preliminary tests over multiple CORDEX domains
Giorgi, F., Coppola, E., Solmon, F., Mariotti, L., Sylla, M., Bi, X., Elguindi, N., Diro, G., Nair, V, Giuliani, G., et al. (2012) · Climate Research · doi:10.3354/cr01018 · Cited by 1,456
Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)
Morgenstern, O., Hegglin, M. I., Rozanov, E., O'Connor, F. M., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Butchart, N., Chipperfield, M. P., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-639-2017 · Cited by 401
Impacts of climate change on surface ozone and intercontinental ozone pollution: A multi‐model study
Doherty, R. M., Wild, O., Shindell, D. T., Zeng, G., MacKenzie, I. A., Collins, W. J., Fiore, A. M., Stevenson, D. S., Dentener, F. J., Schultz, M. G., et al. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50266 · Cited by 209
Contribution of ship emissions to the concentration and deposition of air pollutants in Europe
Aksoyoglu, S., Baltensperger, U., & Prévôt, A. S. H. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-1895-2016 · Cited by 154
Mölders, N., Tran, H. N. Q., Quinn, P., Sassen, K., Shaw, G. E., & Kramm, G. (2011) · Atmospheric Pollution Research · doi:10.5094/apr.2011.035 · Cited by 34
Metadata
- Authors
- Zhang, L., Brook, J. R., & Vet, R.
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2003-11-28
- Volume
- 3
- Issue
- 6
- Pages
- 2067-2082
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2127657691
- Cited by
- 676
- References
- 25
- FWCI
- 3.79
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A revised parameterization for gaseous dry deposition in air-quality models. https://app.cochat.ai/papers/10.5194/acp-3-2067-2003
- The paper
- Zhang, L., Brook, J. R., & Vet, R. (2003). A revised parameterization for gaseous dry deposition in air-quality models. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-3-2067-2003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
