The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics
Open accessAbstract
Idealized simulations of the 15 May 2009 squall line from the Second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) are evaluated in this study. Four different microphysical setups are used, with either single-moment (1M) or double-moment (2M) microphysics, and either hail or graupel as the dense (rimed) ice species. Three different horizontal grid spacings are used: Δx = 4, 1, or 0.25 km (with identical vertical grids). Overall, results show that simulated squall lines are sensitive to both microphysical setup and horizontal resolution, although some quantities (i.e., surface rainfall) are more sensitive to Δx in this study. Simulations with larger Δx are slower to develop, produce more precipitation, and have higher cloud tops, all of which are attributable to larger convective cells that do not entrain midlevel air. The highest-resolution simulations have substantially more cloud water evaporation, which is partly attributable to the development of resolved turbulence. For a given Δx, the 1M simulations produce less rain, more intense cold pools, and do not have trailing stratiform precipitation at the surface, owing to excessive rainwater evaporation. The simulations with graupel as the dense ice species have unrealistically wide convective regions. Comparison against analyses from VORTEX2 data shows that the 2M setup with hail and Δx = 0.25 km produces the most realistic simulation because (i) this simulation produces realistic distributions of reflectivity associated with convective, transition, and trailing stratiform regions, (ii) the cold pool properties are reasonably close to analyses from VORTEX2, and (iii) relative humidity in the cold pool is closest to observations.
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Cites
Dudhia, J. (1989) · Journal of the Atmospheric Sciences · doi:10.1175/1520-0469(1989)046<3077:nsocod>2.0.co;2 · Cited by 5,352
Microphysics of Clouds and Precipitation
Pruppacher, H. R., & Klett, J. D. (1978) · Springer eBooks · doi:10.1007/978-94-009-9905-3 · Cited by 3,975
Bulk Parameterization of the Snow Field in a Cloud Model
Lin, Y.-L., Farley, R. D., & Orville, H. D. (1983) · Journal of Climate and Applied Meteorology · doi:10.1175/1520-0450(1983)022<1065:bpotsf>2.0.co;2 · Cited by 3,481
Thompson, G., Field, P. R., Rasmussen, R. M., & Hall, W. D. (2008) · Monthly Weather Review · doi:10.1175/2008mwr2387.1 · Cited by 3,156
Microphysics of Clouds and Precipitation
Pruppacher, H. R., Klett, J. D., & Wang, P. K. (1998) · Aerosol Science and Technology · doi:10.1080/02786829808965531 · Cited by 2,827
Hong, S.-Y., Dudhia, J., & Chen, S.-H. (2004) · Monthly Weather Review · doi:10.1175/1520-0493(2004)132<0103:aratim>2.0.co;2 · Cited by 2,581
Morrison, H., Thompson, G., & Tatarskii, V. (2009) · Monthly Weather Review · doi:10.1175/2008mwr2556.1 · Cited by 2,438
Self-citationStratocumulus-capped mixed layers derived from a three-dimensional model
Deardorff, J. W. (1980) · Boundary-Layer Meteorology · doi:10.1007/bf00119502 · Cited by 2,046
Baldauf, M., Seifert, A., Förstner, J., Majewski, D., Raschendorfer, M., & Reinhardt, T. (2011) · Monthly Weather Review · doi:10.1175/mwr-d-10-05013.1 · Cited by 1,284
Morrison, H., Curry, J. A., & Khvorostyanov, V. I. (2005) · Journal of the Atmospheric Sciences · doi:10.1175/jas3446.1 · Cited by 1,176
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Morrison, H., & Milbrandt, J. A. (2015) · Journal of the Atmospheric Sciences · doi:10.1175/jas-d-14-0065.1 · Cited by 664
Self-citationMicrophysical effects determine macrophysical response for aerosol impacts on deep convective clouds
Fan, J., Leung, L. R., Rosenfeld, D., Chen, Q., Li, Z., Zhang, J., & Yan, H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1316830110 · Cited by 388
Feng, Z., Leung, L. R., Houze, R. A., Hagos, S., Hardin, J., Yang, Q., Han, B., & Fan, J. (2018) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001305 · Cited by 266
Influence of microphysics on the scaling of precipitation extremes with temperature
Singh, M. S., & O'Gorman, P. A. (2014) · Geophysical Research Letters · doi:10.1002/2014gl061222 · Cited by 111
Omanovic, N., Goger, B., & Lohmann, U. (2024) · Atmospheric Chemistry and Physics · doi:10.5194/acp-24-14145-2024 · Cited by 4
Metadata
- Authors
- Bryan, G. H., & Morrison, H.
- Venue
- Monthly Weather Review
- Publisher
- American Meteorological Society
- Published
- 2012-01-01
- Volume
- 140
- Issue
- 1
- Pages
- 202-225
- ISSN
- 0027-0644 (ISSN-L)
- 1520-0493
- OpenAlex
- W1966213179
- Cited by
- 443
- References
- 46
- FWCI
- 14.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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