Articles | Volume 49
https://doi.org/10.5194/adgeo-49-105-2019
https://doi.org/10.5194/adgeo-49-105-2019
09 Sep 2019
 | 09 Sep 2019

Separating physical impacts from natural variability using piggybacking technique

Wojciech W. Grabowski

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Cited articles

Geresdi, I.: Idealized simulation of the Colorado hailstorm case: Comparison of bulk and detailed microphysics, Atmos. Res., 45, 237–252, https://doi.org/10.1016/S0169-8095(97)00079-3, 1998. 
Geresdi, I., Sarkadi, N., and Thompson, G.: Effect of the accretion by water drops on the melting of snowflakes, Atmos. Res., 149, 96–110, https://doi.org/10.1016/j.atmosres.2014.06.001, 2014. 
Grabowski, W. W.: Extracting microphysical impacts in large eddy simulations of shallow convection, J. Atmos. Sci. 71, 4493–4499, https://doi.org/10.1175/JAS-D-14-0231.1, 2014. 
Grabowski, W. W.: Untangling microphysical impacts on deep convection applying a novel modeling methodology, J. Atmos. Sci., 72, 2446–2464, https://doi.org/10.1175/JAS-D-14-0307.1, 2015. 
Grabowski W. W.: Can the impact of aerosols on deep convection be isolated from meteorological effects in atmospheric observations?, J. Atmos. Sci., 75, 3347–3363, https://doi.org/10.1175/JAS-D-18-0105.1, 2018. 
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Short summary
In a chaotic system, like moist convection, it is difficult to separate the impact of a physical process from effects of natural variability. This is because modifying even a small element of the system physics typically leads to a different system evolution. This paper discusses a relatively simple and computationally efficient modelling methodology that allows separation of the physical impact from differences originating from contrasting flow realizations.