Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics

By George H. Bryan, Hugh Morrison. 2012

417 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/010ad553e66b05e13c0e01f6965812c4e6f874a5

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Citations in the corpus

The Impact of Raindrop Collisional Processes on the Polarimetric Radar Variables (2014, background): “Model simulations of convective storms have been found to be quite sensitive to microphysical parameterizations, including warm-rain processes(Ferrier et al. 1995; Morrison et al. 2009; Dawson et al. 2010; Bryan and Morrison 2012).”
The Formation of Wider and Deeper Clouds as a Result of Cold-Pool Dynamics (2014, background): “As pointed out in Bryan and Morrison (2012) the specific choices for the formulation of microphysical processes can potentially influence the results considerably.”
Structure and Evolution of Mesoscale Convective Systems: Sensitivity to Cloud Microphysics in Convection‐Permitting Simulations Over the United States (2018, background): “Bryan and Morrison (2012) showed that idealized squall line simulations are sensitive to horizontal grid spacing partly because turbulence development can be better resolved with 250-m horizontal grid spacing.”
The benefits of correlated observation errors for small scales (2015, background): “Regional models are run at horizontal grid spacings of less than 1 km (e.g. Bryan and Morrison, 2012) and there are plans to run global models at horizontal resolutions of less than 3 km (e.g. Wedi et al., 2012).”
Confronting the Challenge of Modeling Cloud and Precipitation Microphysics (2020, background): “…of simulations to how ice is partitioned among categories and to the bulk properties assumed for a given category (e.g., Adams‐Selin et al., 2013; Bryan & Morrison, 2012; McCumber et al., 1991; Morrison & Milbrandt, 2011; van den Heever & Cotton, 2004; van Weverberg et al., 2012; and many…”
Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions (2015, background): “However, limitations and uncertainties still persist regarding the physics processes occurring at subgrid scales (Bryan et al. 2003; Moeng et al. 2010; Bryan and Morrison 2012; Moeng and Arakawa 2012).”
A Comparison of TWP-ICE Observational Data with Cloud-Resolving Model Results (2012, background): “[2009] two-moment microphysics, consistent with the expected importance of microphysics scheme [Morrison et al., 2009; Li et al., 2009; Luo et al., 2010; Bryan and Morrison, 2012].”
Simulating North American mesoscale convective systems with a convection-permitting climate model (2017, background): “Despite the advantages of CPCSs, a kilometer scale horizontal grid spacing can only resolve large-scale convective motions and has been shown to result in large convective cells that do not entrain midlevel air (Bryan and Morrison 2012).”
Toward Convective-Scale Prediction within the Next Generation Global Prediction System (2019, background): “Cloud microphysics are particularly sensitive to resolution (Bryan and Morrison 2012), and they are the most important processes for convective-scale simulations.”
Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests (2015, methodology): “This formula is not extrapolated to values of l larger than the Cao et al. (2008) data range (20mm(21)), giving a maximum m of approximately 8.”