The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
A Particle-Surface-Area-Based Parameterization of Immersion Freezing on Desert Dust Particles
Abstract
In climate and weather models, the quantitative description of aerosol and cloud processes relies on simplified assumptions. This contributes major uncertainties to the prediction of global and regional climate change. Therefore, models need good parameterizations for heterogeneous ice nucleation by atmospheric aerosols. Here the authors present a new parameterization of immersion freezing on desert dust particles derived from a large number of experiments carried out at the Aerosol Interaction and Dynamics in the Atmosphere (AIDA) cloud chamber facility. The parameterization is valid in the temperature range between −12° and −36°C at or above water saturation and can be used in atmospheric models that include information about the dust surface area. The new parameterization was applied to calculate distribution maps of ice nuclei during a Saharan dust event based on model results from the regional-scale model Consortium for Small-Scale Modelling–Aerosols and Reactive Trace Gases (COSMO-ART). The results were then compared to measurements at the Taunus Observatory on Mount Kleiner Feldberg, Germany, and to three other parameterizations applied to the dust outbreak. The aerosol number concentration and surface area from the COSMO-ART model simulation were taken as input to different parameterizations. Although the surface area from the model agreed well with aerosol measurements during the dust event at Kleiner Feldberg, the ice nuclei (IN) number concentration calculated from the new surface-area-based parameterization was about a factor of 13 less than IN measurements during the same event. Systematic differences of more than a factor of 10 in the IN number concentration were also found among the different parameterizations. Uncertainties in the modeled and measured parameters probably both contribute to this discrepancy and should be addressed in future studies.
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
Prospero, J. M., Ginoux, P., Torres, O., Nicholson, S. E., & Gill, T. E. (2002) · Reviews of Geophysics · doi:10.1029/2000rg000095 · Cited by 2,977
Predicting global atmospheric ice nuclei distributions and their impacts on climate
DeMott, P. J., Prenni, A. J., Liu, X., Kreidenweis, S. M., Petters, M. D., Twohy, C. H., Richardson, M. S., Eidhammer, T., & Rogers, D. C. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910818107 · Cited by 1,453
Self-citationReview of the vapour pressures of ice and supercooled water for atmospheric applications
Murphy, D. M., & Koop, T. (2005) · Quarterly Journal of the Royal Meteorological Society · doi:10.1256/qj.04.94 · Cited by 1,430
New Primary Ice-Nucleation Parameterizations in an Explicit Cloud Model
Meyers, M. P., DeMott, P. J., & Cotton, W. R. (1992) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1992)031<0708:npinpi>2.0.co;2 · Cited by 906
Self-citationModeling of mineral dust in the atmosphere: Sources, transport, and optical thickness
Tegen, I., & Fung, I. (1994) · Journal of Geophysical Research: Atmospheres · doi:10.1029/94jd01928 · Cited by 874
African dust aerosols as atmospheric ice nuclei
DeMott, P. J., Sassen, K., Poellot, M. R., Baumgardner, D., Rogers, D. C., Brooks, S. D., Prenni, A. J., & Kreidenweis, S. M. (2003) · Geophysical Research Letters · doi:10.1029/2003gl017410 · Cited by 840
Self-citationDesert dust suppressing precipitation: A possible desertification feedback loop
Rosenfeld, D., Rudich, Y., & Lahav, R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.101122798 · Cited by 795
The Effects of Desert Particles Coated with Sulfate on Rain Formation in the Eastern Mediterranean
Levin, Z., Ganor, E., & Gladstein, V. (1996) · Journal of Applied Meteorology · doi:10.1175/1520-0450(1996)035<1511:teodpc>2.0.co;2 · Cited by 499
Kandler, K., Benker, N., Bundke, U., Cuevas, E., Ebert, M., Knippertz, P., Rodríguez, S., Schütz, L., & Weinbruch, S. (2007) · Atmospheric Environment · doi:10.1016/j.atmosenv.2007.06.047 · Cited by 454
Kandler, K., Schütz, L., Deutscher, C., Ebert, M., Hofmann, H., Jäckel, S., Jaenicke, R., Knippertz, P., Lieke, K., Massling, A., et al. (2009) · Tellus B: Chemical and Physical Meteorology · doi:10.1111/j.1600-0889.2008.00385.x · Cited by 440
Cited by
Hoose, C., & Möhler, O. (2012) · Atmospheric Chemistry and Physics · doi:10.5194/acp-12-9817-2012 · Cited by 1,227
Self-citationMixed-phase regime cloud thinning could help restore sea ice
Villanueva, D., Possner, A., Neubauer, D., Gasparini, B., Lohmann, U., & Tesche, M. (2022) · Environmental Research Letters · doi:10.1088/1748-9326/aca16d · Cited by 18
Metadata
- Authors
- Niemand, M., Möhler, O., Vogel, B., Vogel, H., Hoose, C., Connolly, P., Klein, H., Bingemer, H., DeMott, P., Skrotzki, J., & Leisner, T.
- Venue
- Journal of the Atmospheric Sciences
- Publisher
- American Meteorological Society
- Published
- 2012-04-30
- Volume
- 69
- Issue
- 10
- Pages
- 3077-3092
- ISSN
- 0022-4928 (ISSN-L)
- 1520-0469
- OpenAlex
- W1998647656
- Cited by
- 451
- References
- 57
- FWCI
- 18.51
- Type
- journal article
- Language
- en
- Open access
- closed
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 Particle-Surface-Area-Based Parameterization of Immersion Freezing on Desert Dust Particles. https://app.cochat.ai/papers/10.1175/jas-d-11-0249.1
- The paper
- Niemand, M., Möhler, O., Vogel, B., Vogel, H., Hoose, C., Connolly, P., Klein, H., Bingemer, H., DeMott, P., Skrotzki, J., & Leisner, T. (2012). A Particle-Surface-Area-Based Parameterization of Immersion Freezing on Desert Dust Particles. Journal of the Atmospheric Sciences. https://doi.org/10.1175/jas-d-11-0249.1
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.